Senior Angular developer

Why us?

“Data-driven digitalization, human-centered culture”

At Hiflylabs, we strive to create a work environment that is both challenging and supportive, allowing our employees to grow and excel with our company. We believe that our people are our most valuable assets, and we are committed to invest in their personal and professional development through our mentoring system.

Appic by Hiflylabs

Our digital product development team specializes in creating impactful mobile and web applications by combining cutting-edge technologies with data-driven insights.

Our developers, designers, and business analysts work seamlessly together to deliver user-friendly, future-proof software solutions. We offer services in custom software development, innovative UX/UI design, and digital consulting, utilizing technologies such as Swift, Kotlin, Angular, React, Python, Node.js, Java, and more.

At Appic, we transform your ideas into reality, building the digital future today.

Responsibilities

Develop web applications in a team (solutions based on using the newest technologies)
Design and estimate user stories, participate in the system design
Design user interfaces and functions as planned
Participate in product roadmap design
Recognize different industries, developing applications which are used in the environment of small and large companies
Write unit and end-to-end tests, participate in developer testing
Stay up to date with current technology trends in web development

Requirements

5+ years of experience in web development
Advanced proficiency in English (both written and oral)
Overall knowledge of the Angular framework (eg.: performance; component, pipe, service types and their life cycles; forms, change detection; SSR)
HTML, SASS, UI framework knowledge (eg.: Tailwind, Material, PrimeNG)
State management (eg.: NgRx, component stores)
Comprehensive knowledge of RxJS (eg.: observable and subject types, operators, error-handling), understanding of Angular Signals
Unit/E2E testing

Personal traits

Process driven with a keen eye for detail and quality
Team player with a positive, friendly attitude
Eager to learn and improve
Proactive in finding solutions
Customer focused attitude

Nice to have

Other frontend technologies (React, Vue.js)
Knowledge of backend technologies (NodeJS, Python, Java)
Microservices
DevOps, Cloud, Serverless
Experience/Interest in other platforms, eg.: cross-platform, mobile development

About the company

We're Hiflylabs, a vibrant team of 250+ data and tech enthusiasts based in Budapest. From data engineering to data science, artificial intelligence and application development, we work on a wide range of projects around the world.

Over a Decade of Mastery

For twelve years, Hiflyers have been reshaping industries through Data Warehousing, Business Intelligence, and Data Analytics. From consulting to operations, we offer tailored, hands-on solutions to complex business problems, helping our clients grow.

Our Commitment

At Hiflylabs, we're not just about projects; we're about people. We believe that our people are our most valuable assets, and we are committed to nurturing their personal and professional development through our unique mentoring system.

Get an insight on how we work and check out our Website, LinkedIn page and YouTube channel!

Senior Business Analyst - Data Governance

We are Hiflylabs, an AI and data company. A lab of highflyers. People, who always strive for more. Humans trained on data and algorithms. Geeks at the leading edge of technology. A community we all enjoy belonging to.

In about 10 years Hiflylabs turned from a collective of like-minded friends into a much larger diverse group of 250+ people with various backgrounds, who know that no business today can thrive without building on their data. Want to be a part of our story? Let's work together!

Check out our Website, LinkedIn page and YouTube channel to get an insight into who we are and how we work!

Responsibilities:

Translate business and data governance strategies into technical requirements for implementation.
Collaborate with engineering and program management teams to align on data governance frameworks, roadmaps, and milestones.
Prioritize data governance initiatives in an agile environment, ensuring alignment with business goals.
Work with stakeholders across business, IT, legal, and compliance to obtain approvals for data governance policies.
Document data flows, governance models, and related processes.
Create JIRA User Stories, BRDs, and other artifacts based on stakeholder feedback.
Present progress to executives and senior stakeholders, ensuring alignment with governance objectives.
Collaborate with Legal, Risk, and Compliance to ensure changes adhere to policies and regulations.
Analyze and improve existing governance frameworks, identifying changes needed for better business alignment.
Assist with testing governance solutions to ensure compliance and business requirements are met.
Provide input on data privacy regulations (e.g., GDPR, CCPA) and ensure governance policies support compliance efforts.
Work with metadata management and data cataloging tools to enhance data discoverability and governance.

Requirements:

Experience in data governance, business analysis, or data management projects.
Strong understanding of data governance frameworks (e.g., data ownership, metadata management, data quality, regulatory compliance).
Knowledge of Master Data Management (MDM), Data Lineage, and Data Privacy best practices.
Experience working with data models, data flows, and business process mapping.
Hands-on knowledge of SQL and relational databases to support data governance initiatives.
Familiarity with data warehouses and cloud platforms (e.g., BigQuery, Snowflake, AWS, Azure, GCP).
Ability to define governance policies and workflows that align with business needs.
Excellent stakeholder management and communication skills to bridge the gap between technical and business teams.
Agile mindset, ability to translate governance requirements into tangible actions.
Experience in working with data cataloging and metadata management tools (e.g., Collibra, Alation, Informatica) is a plus.

Why Us?

✅ Data-driven innovation & human-centered culture – We combine cutting-edge technology with a supportive, growth-oriented environment.

✅ Global projects & advanced technologies – Work with international clients (New York, Netherlands, Sweden, Scotland) and explore the latest digital tools.

✅ Flexibility & empowerment – Enjoy the freedom to work how it suits you best, with trust, autonomy, and a strong work-life balance.

✅ Continuous learning & fun community – Benefit from mentoring, career development opportunities, and a vibrant team culture with exciting events. 🚀

Lead Business Analyst

We are Hiflylabs, an AI and data company. A lab of highflyers. People, who always strive for more. Humans trained on data and algorithms. Geeks at the leading edge of technology. A community we all enjoy belonging to.

In about 10 years Hiflylabs turned from a collective of like-minded friends into a much larger diverse group of 250+ people with various backgrounds, who know that no business today can thrive without building on their data. Want to be a part of our story? Let's work together!

Check out our Website, LinkedIn page and YouTube channel to get an insight into who we are and how we work!

What will you do?

Facilitate business needs, define requirements, and develop project concepts.
Participate actively in pre-sales processes, quoting and bid management.
Collaborate with the digital design and application development team to ensure successful delivery of projects.
Oversee project progress, and participate in planning, scheduling, risk management, reporting.
Deliver presentations to clients and stakeholders to align business objectives and project outcomes.
Build and maintain strong relationships with clients, partners, and internal teams.
Communicate effectively with C-level executives, ensuring transparency and alignment.
Conduct market research and monitor industry trends to identify business opportunities.

What do you need to apply to this role?

5+ years of experience in business analysis (web- and mobile applications, preferably in AI, or data-driven environments)
Strong understanding of user experience and human-centered design methodologies.
Experience in pre-sales, quoting and bid management.
Diversified business domain expertise in banking, energy, retail, etc. sectors.
Excellent communication, presentation, and problem-solving skills.
Ability to work independently, proactively, and work with a consultative mindset.

Why Us?

✅ Data-driven innovation & human-centered culture – We combine cutting-edge technology with a supportive, growth-oriented environment.

✅ Global projects & advanced technologies – Work with international clients (USA, UK, Nordics region) and explore the latest digital tools.

✅ Flexibility & empowerment – Enjoy the freedom to work how it suits you best, with trust, autonomy, and a strong work-life balance.

✅ Continuous learning & fun community – Benefit from mentoring, career development opportunities, and a vibrant team culture with exciting events. 🚀

Senior AI consultant/GenAI Product Owner

Hiflylabs is a dynamic team of 250+ data and tech professionals based in Budapest, delivering cutting-edge solutions in data engineering, data science, artificial intelligence, and application development. With over a decade of expertise, we empower businesses worldwide with tailored, hands-on strategies for Data Warehousing, Business Intelligence, and Data Analytics.

Our strength lives in our people. Through our mentoring system, we cultivate professional growth and innovation.

Explore more about us through our Website, LinkedIn, and YouTube!

What Will You Do?

Lead AI-driven transformation – Act as a thought leader in financial services, shaping enterprise-wide Data & AI strategies with a strong focus on Generative AI (GenAI).
Bridge AI and Business – Define AI-powered banking solutions that align technology advancements with customer needs and business objectives.
Guide C-Level Stakeholders – Establish strong relationships with senior banking executives, guiding them through AI adoption, regulatory considerations, and value-driven implementations.
Own the AI Product Vision – Drive the end-to-end development of GenAI solutions, collaborating with cross-functional teams including data engineers, ML experts, and business leaders.
Define Roadmaps & Execution Strategies – Oversee project scopes, planning, and execution, ensuring that AI solutions deliver measurable impact.
Deliver AI & Data Solutions – Support data visualization, model development, and AI application rollouts, ensuring seamless integration into banking ecosystems.
Enhance Hiflylabs' AI Offerings – Lead research and strategy development for new GenAI solutions in financial services, contributing to go-to-market strategies.

What You Need to Apply:

4-5 years of experience in AI-driven product management, consulting, or financial services.
Expertise in AI & data analytics, with experience deploying Generative AI solutions.
Strong strategic thinking, problem-solving, and decision-making skills.
Experience engaging with C-level executives and senior stakeholders.
Ability to translate business challenges into AI-powered opportunities.
Advanced presentation and storytelling skills for AI solutions.
Proficiency in English (written & spoken).
High adaptability, proactive mindset, and a passion for AI innovation.

Nice to Have:

Experience at Big 4 consulting firms or as a strategic advisor in financial services.
Domain knowledge beyond banking (e.g., telecom, healthcare, retail, energy).
Hands-on experience with Machine Learning, NLP, or GenAI tools.
Familiarity with data visualization tools (Power BI, Tableau, Looker).
Understanding of data governance, AI ethics, and regulatory frameworks.

Why Join Hiflylabs?

Our Promise to You:

Innovative AI Projects – Work on cutting-edge AI solutions across global markets.
Empowered Work Culture – We trust you to take ownership and drive impact.
Flexible Work Environment – Hybrid and remote-friendly opportunities.
Professional Growth – Access to mentorship, training, and international AI engagements.
Strong Community – Be part of a vibrant, collaborative, and fun-loving team.

Ready to revolutionize AI in financial services? Apply now and let's shape the future together!

Senior Cloud Data Engineer (AWS)

Hiflylabs is a Budapest-based company. We have 250+ employees at this moment and we are constantly thriving. Our application development team and business intelligence experts work to provide effective solutions to business problems.

Our professional team has proved its expertise through 10 years of experience, participating in multiple Business Intelligence projects - both Hungarian and international - in various industries, such as the financial, telecommunication and energy sectors.

We deliver a wide portfolio of innovative business solutions that include Data Warehouses, Business Intelligence, Data Analytics. In the last few years we have acquired a high level of competence in Application Development.

Hiflylabs is committed to innovation, and encourages the realization of innovative initiatives in the form of independent startups.

Get an insight on how we work and check out our Website, LinkedIn page and YouTube channel!

Responsibilities

Data Solution Design and Development:

Design, develop, and implement complex and scalable data solutions on the AWS cloud platform.
Design, build, and optimize data pipelines to ensure efficiency and reliability.

Programming & Scripting:

Write clean, efficient, and maintainable SQL and Python code.
Develop and maintain shell scripts to support automation.

DevOps & Automation:

Utilize Docker containers for containerizing applications and data pipelines.
Establish and maintain CI/CD pipelines (e.g., GitHub Actions, GitLab CI/CD) for rapid and reliable deployments.
Automate data pipeline processes.

Cloud Data Services:

Deliver solutions on AWS data services (e.g., S3, Redshift, Glue, EMR, Lambda).
Design and implement data modeling and data warehousing solutions.

Project and Team Management:

Own and manage the technical aspects of deliveries (at least at the component level).
Participate in project planning, task estimation, testing, and liaising with business stakeholders.
Provide technical leadership to smaller teams.
Create technical documentation.

Requirements

Programming & Scripting

Must have Proficiency in both SQL and at least one imperative programming language, particularly in Python, emphasizing clean, efficient, and maintainable code.
Experience with shell scripting.

Devops & Automation:

Familiarity with Docker and at least one CI/CD tool (e.g., Github Actions, GitLab CI/CD) to streamline deployment and manage data pipelines.

Cloud Data Services

A minimum of 5 years of hands-on experience in data engineering, with a strong focus on cloud-based solutions.
Has delivered at least one complex and scalable data solution on at least one cloud platform’s data services (Primary AWS data engineering skills required, GCP/Azure experience beneficial.)
Experience in working with dbt or SQLMesh is a plus.

Soft and other skills

Strong team player with a proactive mindset, eager to take on challenges and drive solutions.
Great problem-solving skills, analytical thinking, and a structured approach to decision-making.
Excellent written and verbal communication skills in English

Why us?

Diverse projects: In each assignment there is always something new either on the technical or on the business side that helps you grow.
Cutting edge technology: We work with many of the most up-to-date technologies and tools.
Strong and motivating team: We stress the importance of working together in tight-knit, cohesive teams in which members help each other to reach the common goal.
Work-life balance: We help you to feel good individually as well, and coordinate work so as it should align with your leisure activities.
Professional development: There are team gatherings on a regular schedule where colleagues can share their knowledge, and have deep technical discussions.
Focus on company culture: In addition to our business and professional achievements we are proud of the social bonding in the company, which is based on mutual respect and helping one another.
Personal mentoring: You will have your own mentor (just like everybody at Hiflylabs) who you can turn to with professional issues as well as with personal ones.

Data Engineer (Azure - Databricks)

Hiflylabs is a leading Data Consultancy Agency competency center in Europe with a staff of over 250 experts. With two decades of experience in the Data & Analytics field, Hiflylabs focuses on serving clients both in Europe and North America. We build cloud data platforms and data warehouses, do data analysis and data visualization, apply data science to business problems, and even consult on data management.

We strive to create a work environment that is both challenging and supportive, allowing our employees to grow and excel with our company. We believe that our people are our most valuable assets, and we are committed to invest in their personal and professional development through our mentoring system.

About the Job/What will you do?

At Hiflylabs we are looking to expand our Data Platform team. This team works with a wide range of clients, not only Hungarian clients, but also an increasing number of international clients.

We're currently looking for a new member to join our team as we continue to grow, working directly with one of our banking clients. Join our team and work on cutting-edge migration projects and build new cloud platforms. You will work with both technical and business-oriented colleagues, both at Hiflylabs and on the client side. You'll have the opportunity to understand the business operations as well as the technical details.

Main Tasks

Participate in our data projects building data pipelines, migrate ETL processes from on-premise data warehouses
Design and build data pipelines mostly on Azure and/or Databricks platform
Design, develop, and test solutions to extract and transfer data from on-premise or cloud-based source systems
Create data transformations
Create complex data-driven solutions

Requirements

3+ years of experience in Data Engineering
Experience with Azure or Databricks data stack, and hands-on experience with batch processing, storing, loading, and transforming structured datasets
Solid SQL knowledge
Comfortable with working in a small team
Able to work independently and reliably
Proactive, eager to learn
At least intermediate proficiency in English (both oral and written)

Advantages

Experience with AWS or GCP data stack, and hands-on experience with batch processing, storing, loading, and transforming structured datasets, data lake storage, and management experience
Skilled in data warehouse design and implementation
Experience in using Python/PySpark for data management
Stream processing proficiency
Spark experience
Competent in cloud infrastructure design, scaling, and implementation
Technical team leading experience
Completed Databricks Data Engineering Associate/Professional certification
Completed Microsoft Azure Data Engineering Associate certification
Completed Microsoft Azure and Azure Data Fundamentals certification

Why us?

Diverse projects - In each assignment, there is always something new, either on the technical or the business side, that helps you grow.
Empowerment - Trust is a cornerstone of our culture. We'll hold your hand if you need it, but give you space if you’d like to push your limits. Don't lose sight of the goal, the rest is up to you.
Flexible ways of working – We love our location on Bartók Béla RoadStreet which is not only an office but also a community space. However, we respect our people to do their work when and how they works best.
Balanced life - We love what we do and aim to work together with others who do their work with love. At the same time, we highly value fresh minds, for which we think a healthy work/life balance is essential! Forget about pointless meetings and unnecessary administration.
Mentoring from your first day – Continuous support is not just a set of fancy words we throw around here; your mentor follows you throughout your career path.
Learning & Development opportunities - If you want to keep learning and improving, we are on to a great track! We look forward to helping you unlock your potential.
Supportive corporate culture - In addition to our professional success, we are proud of the social cohesion that is based on comradery, mutual support, and respect and is constantly nurtured in the company.
Lots of fun – The Hiflylabs’ community is made up of more than 250+ open-minded people from different backgrounds but with shared values. We have a lot of fun together, we’ve already booked your place for the next wine tasting, FIFA & foosball tournament.

Senior Machine Learning Engineer (Databricks)

About the company

Hiflylabs is a Budapest-based company. We have 200+ employees at this moment and we are constantly thriving. Our application development team and business intelligence experts work to provide effective solutions to business problems.

Our professional team has proved its expertise through 10 years of experience, participating in multiple Business Intelligence projects - both Hungarian and international - in various industries, such as the financial, telecommunication and energy sectors.

We deliver a wide portfolio of innovative business solutions that include Data Warehouses, Business Intelligence, Data Analytics. In the last few years we have acquired a high level of competence in Application Development.

Hiflylabs is committed to innovation, and encourages the realization of innovative initiatives in the form of independent startups.

Get an insight on how we work and check out our Website, LinkedIn page and YouTube channel!

Responsibilities

Deliver independently Machine Learning Engineering projects using Databricks, leveraging its Unified Analytics Platform
Engage directly with clients to understand their business objectives and translate them into technical requirements.
Collaborate with cross-functional teams to integrate AI/ML solutions into the company's product offerings.
Provide thought leadership within the team, fostering a culture of continuous learning and innovation.
Stay abreast of industry trends and advancements in AI/ML to ensure our solutions remain cutting-edge.

General qualifications

7+ years relevant data science / machine learning engineering experience.
Hands-on experience in Databricks, Python, Spark, SQL.
Fluent English speaker with excellent communication skills, comfortable in client-facing roles.
Bachelor's or Master's degree preferably in Computer Science, Software Engineering, Data Science, Information Technology or a related field.
Hands-on experience with generative AI/LLM projects.
Affinity to building product / product-oriented vision

Technical requirements

Strong Python and SQL skills
Databricks Platform knowledge: Delta Lake, Notebooks, Workflows, Connect, MLFlow
Knowledge of at least one of the cloud platforms (Azure / AWS / GCP), with a preference for experience in Azure Databricks.
Knowledge of data modeling, schema design, data warehousing concepts.
Strong understanding of machine learning algorithms and techniques.
Relevant knowledge about data pipelines using a variety of source and target platforms (eg: Databricks, SQL databases, big data stores, NoSQL)
Manage and optimize Databricks clusters for performance and cost efficiency
Version control: Github / BitBucket / Azure DevOps

Nice to have

Knowledge of stream processing, API handling, message queuing
ML Lifecycle management (e.g.: MLFlow / wandb)
Python based web frameworks (e.g.: Streamlit / FastAPI / Flask)
Automatization pipelines on cloud (e.g.: Azure Functions, AWS Lambda, Databricks notebook jobs)

Why us?

Diverse projects: In each assignment there is always something new either on the technical or on the business side that helps you grow.
Cutting edge technology: You will work with many of the most up-to-date technologies and tools.
Strong and motivating team: We stress the importance of working together in tight-knit, cohesive teams in which members help each other to reach the common goal.
Work-life balance: We help you to feel good individually as well, and coordinate work so as it should align with your leisure activities.
Professional development: There are team gatherings on a regular schedule where colleagues can share their knowledge, and have deep technical discussions.
Focus on company culture: In addition to our business and professional achievements we are proud of the social bonding in the company, which is based on mutual respect and helping one another.
Personal mentoring: You will have your own mentor (just like everybody at Hiflylabs) who you can turn to with professional issues as well as with personal ones.

Senior Data Scientist with AI product mindset

Hiflylabs is a Budapest-based company. We have 250+ employees at this moment and we are constantly thriving. Our application development team and business intelligence experts work to provide effective solutions to business problems.

Our professional team has proved its expertise through 10 years of experience, participating in multiple Business Intelligence projects - both Hungarian and international - in various industries, such as the financial, telecommunication and energy sectors.

We deliver a wide portfolio of innovative business solutions that include Data Warehouses, Business Intelligence, Data Analytics. In the last few years we have acquired a high level of competence in Application Development.

Hiflylabs is committed to innovation, and encourages the realization of innovative initiatives in the form of independent startups.

Get an insight on how we work and check out our Website, LinkedIn page and YouTube channel!

Responsibilities

5 years of experience in different Data Science topics (e.g. machine learning, LLM, deep learning)
Deliver independently Data Science projects, bring an e2e product-oriented mindset
Engage directly with clients to understand their business objectives and translate them into technical requirements.
Lead pre-sales technical discussions, demonstrating the value and capabilities of our analytics solutions.
Collaborate with cross-functional teams to integrate AI/ML solutions into the company's product offerings.
Provide thought leadership and mentorship within the team, fostering a culture of continuous learning and innovation.
Stay abreast of industry trends and advancements in AI/ML to ensure our solutions remain cutting-edge.

General qualifications:

Fluent English speaker with excellent communication skills, comfortable in client-facing roles.
5 years of experience in data science or a related field.
Hands-on experience with LLM projects, machine learning, deep learning.
Affinity to building product / product-oriented vision
Domain expertise in any of the following fields is highly preferred: international finance, healthcare, pharma or meteorology.

Technical requirements:

Strong Python and SQL skills
Leverage cloud-based data science tools on AWS (SageMaker, Bedrock), Azure, or GCP for scalable model training and deployment
IDE (e.g.: Jupyter, VSCode)
Version control Git / BitBucket / AZ DevOps
Core machine learning libraries (sklearn, LightGBM, torch)
Traditional ML projects (supervised and unsupervised)
NLP experience / affinity: Understand concepts of text classification, information extraction
Generative AI & LLM frameworks - HuggingFace / transformers, OpenAI; proprietary API & open-source models
Understand concepts of RAG, build & maintain pipeline, understand concepts of pretraining, fine-tuning

Nice to have:

Databricks / distributed computing / scalable ML
Familiarity with database systems (SQL, NoSQL)
ML Lifecycle management (e.g.: MLFlow / wandb)
Web frameworks (e.g.: Streamlit / FastAPI / Flask)
Automatization pipelines on cloud (e.g.: Azure Functions, AWS Lambda, Databricks notebook jobs)
API integration
Experience with deploying ML models in production environments
Experience with LangChain / LlamaIndex
Understanding of LLM Agents, agentic behavior, prompt engineering
Being able to differentiate what 'needs' LLMs and what can be solved with traditional ML / NLP

Why us?

Diverse projects: In each assignment there is always something new either on the technical or on the business side that helps you grow.
Cutting edge technology: You will work with many of the most up-to-date technologies and tools.
Strong and motivating team: We stress the importance of working together in tight-knit, cohesive teams in which members help each other to reach the common goal.
Work-life balance: We help you to feel good individually as well, and coordinate work so as it should align with your leisure activities.
Professional development: There are team gatherings on a regular schedule where colleagues can share their knowledge, and have deep technical discussions.
Focus on company culture: In addition to our business and professional achievements we are proud of the social bonding in the company, which is based on mutual respect and helping one another.
Personal mentoring: You will have your own mentor (just like everybody at Hiflylabs) who you can turn to with professional issues as well as with personal ones.

Databricks Senior Solutions Architect

Hiflylabs is a leading Data Consultancy Agency competency center in Europe with a staff of over 250 experts. With two decades of experience in the Data & Analytics field, Hiflylabs focuses on serving clients both in Europe and North America. We build cloud data platforms and data warehouses, do data analysis and data visualization, apply data science to business problems, and even consult on data management.

We strive to create a work environment that is both challenging and supportive, allowing our employees to grow and excel with our company. We believe that our people are our most valuable assets, and we are committed to invest in their personal and professional development through our mentoring system.

About the Job/What will you do?

As a Senior Solutions Architect, you will play a pivotal role in shaping the future of big data for top Fortune 500 companies. This senior customer-facing position requires extensive expertise in Apache Spark and a broad range of experience in big data solution architecture.

Each week, you will assist customers with architecture, design, and implementation, ensuring their technical roadmap aligns strategically with the expansion of the Databricks platform. As a member of the architect team, you will continuously enhance your technical skills through mentorship, ongoing learning, and internal training programs. This is a remote role (with possible rare exceptions to be agreed upon in due time) and requires the applicant to have a significant time zone overlap with the clients.

Main Tasks

Provide technical leadership post-sales to guide strategic customers in designing and implementing big data projects, from architectural design to data engineering and model deployment.
Identify and drive new initiatives that help customers turn their data into actionable business value, aligning these initiatives with their business goals for continued success.
Architect production-level workloads, including performance testing and optimization of end-to-end pipeline loads.
Deliver tutorials and training sessions to promote community adoption (including hackathons, conference presentations, etc.).

Requirements

Hands-on and technical expertise with Apache Spark.
Hands-on experience with Databricks over the course of several large-scale projects.
Databricks Certified Data Engineer Professional certification.
Proven experience in designing and implementing big data technologies, including Hadoop, NoSQL, MPP, OLTP, OLAP.
Over 5 years of experience working as a Software Engineer or Data Engineer, including query tuning, performance tuning, troubleshooting, and debugging Spark and/or other big data solutions.
Proficiency in programming with Python, Scala, or Java.
Experience designing and using solutions on cloud infrastructure and services, such as AWS, Azure, or GCP.
Familiarity with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools, and SQL Interfaces (e.g., Jenkins).
Excellent communication skills and comfort in presenting to strategic stakeholders and leadership.
Experience in customer-facing roles such as pre-sales, post-sales, technical architecture guidance, or consulting.
Passion for learning new technologies and ensuring customer success.
Desired experience in Data Science/ML Engineering, including model selection, model lifecycle, hyper-parameter tuning, model serving, deep learning, using tools like MLFlow.

Why us?

Diverse projects - In each assignment, there is always something new, either on the technical or the business side, that helps you grow.
Empowerment - Trust is a cornerstone of our culture. We'll hold your hand if you need it, but give you space if you’d like to push your limits. Don't lose sight of the goal, the rest is up to you.
Flexible ways of working – We love our location on Bartók Béla RoadStreet which is not only an office but also a community space. However, we respect our people to do their work when and how they work best.
Balanced life - We love what we do and aim to work together with others who do their work with love. At the same time, we highly value fresh minds, for which we think a healthy work/life balance is essential! Forget about pointless meetings and unnecessary administration.
Mentoring from your first day – Continuous support is not just a set of fancy words we throw around here; your mentor follows you throughout your career path.
Learning & Development opportunities - If you want to keep learning and improving, we are on to a great track! We look forward to helping you unlock your potential.
Supportive corporate culture - In addition to our professional success, we are proud of the social cohesion that is based on comradery, mutual support, and respect and is constantly nurtured in the company.

Expression of Interest - Databricks Platform Administrator

We're Hiflylabs, a vibrant team of 250+ data and tech enthusiasts based in Budapest. From data engineering to data science, artificial intelligence, and application development, we work on a wide range of projects around the world.

Get an insight on how we work and check out our Website, LinkedIn page, and YouTube channel!

The IT, Support & Maintenance team is our newest department. We are looking for people who are motivated and ready to bring out the best in themselves. As the Support & Maintenance team leader said, we are seeking bright-eyed people.

The team has four main directions regarding the technologies and services they offer.

Support: Provide all the support behind the solutions delivered by Hiflylabs.
Maintenance: Ensure support outside the services offered by Hiflylabs.
IT consultancy: Client support, consulting activities, process optimization, monitoring and operation development.
IT: Internal environment, servers, users, and network support.

TALENT POOL PROCESS

We always keep an eye on the opportunities ahead and like to prepare for the new projects. We established a process in order to connect with people who are interested in us and the opportunities we can provide. Our talent pool process helps us assess whether there is an overlap between your motivations and interests and what we can offer.

You can apply to the advertisement, even if you don’t plan to switch between jobs!

In the near future we expect to work on Databricks-focused projects, so if you are interested or already have the knowledge, we would be happy to get in touch with you!

Responsibilities

Manage Databricks system configurations (including job scheduling, secrets and cluster policies)
Ensure the right performance of the Databricks platform
Ensure the customer satisfaction by coordinating the resources of the Databricks Platform DevOps Engineer
Improve the Databricks platform (integration, new features, additional services)
Discuss the ideal and optimal usage of the Databricks platform with customers
Provide L2 support and consult with L3 support if necessary
Manage Azure storage and network configuration
Give advanced troubleshooting assistance and technical support

Requirements

Advanced Databricks knowledge and relevant certifications
Minimum intermediate Azure knowledge and relevant certifications
Minimum intermediate Terraform knowledge and relevant certifications
Minimum intermediate CI/CD knowledge and relevant certifications

Why us?

✅ Data-driven innovation & human-centered culture – We combine cutting-edge technology with a supportive, growth-oriented environment.

✅ Global projects & advanced technologies – Work with international clients (New York, Netherlands, Sweden, Scotland) and explore the latest digital tools.

✅ Flexibility & empowerment – Enjoy the freedom to work how it suits you best, with trust, autonomy, and a strong work-life balance.

✅ Continuous learning & fun community – Benefit from mentoring, career development opportunities, and a vibrant team culture with exciting events.

Senior Analytics Engineer

We're Hiflylabs, a vibrant team of 250+ data and tech enthusiasts based in Budapest. From data engineering to data science, artificial intelligence and application development, we work on a wide range of projects around the world.

Over a Decade of Mastery:

For twelve years, Hiflyers have been reshaping industries through Data Warehousing, Business Intelligence, and Data Analytics. From consulting to operations, we offer tailored, hands-on solutions to complex business problems, helping our clients grow.

Our Commitment:

At Hiflylabs, we're not just about projects; we're about people. We believe that our people are our most valuable assets, and we are committed to nurturing their personal and professional development through our unique mentoring system.

Check out our Website, LinkedIn page and YouTube channel to get an insight into who we are and how we work!

About the Job/What will you do?

At Hiflylabs, we are looking to extend our Analytics Engineering team. This team typically works with international clients in small squads, almost exclusively in agile.

We expect you to be a Analytics Engineer at heart: a data-oriented person with data/software engineering chops.

You will be briefed on what the client wants on the business side (it’s in plain English and not overly complex).

You then pick the technical components needed to fulfill those needs, mostly out of cloud services we routinely work with. Some of these are standard AWS or GCP platform services, some are even more modern ones, like Snowflake, dbt, Fivetran, or Looker. You help to scope the sprints as well.

Sprint-by-sprint you take part in delivering a reliable, working solution that pleases the client and meets the business constraints as well.

Finally we celebrate with you, and help you move on to the next challenge that advances your personal and professional development.

You report to the CTO (who is managing the Analytics Engineering team). You usually touch bases a couple times per week – but you are expected to be self-sufficient, and you will not be micro-managed for sure.

Tasks

Design and implement Data Pipelines with platform services and serverless solutions
Develop, and test ingestion pipelines from various sources
Create data transformations with SQL, Python, PaaS and 3rd party tools (e.g. dbt)
Automate data ingestion and transformation (often with Airflow or similar tools)

Requirements

Data transformation background: sound conceptual understanding and practical experience of data modeling and ETL processing, including extensive knowledge of SQL. As an orientation, you are likely to have 4+ intensive years in the field.
Intermediate software development background, preferably in Python and/or focused on data transformation.
At least some experience in cloud data management, preferably in AWS or GCP data stack components (primarily batch data management, storage, loading, transformation of structured data structures, Data Lake storage and management tools)
Strong technical and business English (oral, reading and writing)

Personal Traits

Team player, ability to lead the team and work with others
Willing to own the project delivery
Proactive in finding solutions
Eager to learn and improve

Why us?

International projects, diverse challenges – Through Hiflylabs’ global nature you can work with clients and partners from all over the world. Are you ready for projects in New York, the Netherlands, Sweden, or Scotland?
Advanced technologies - While immersing yourself in mind-blowing projects and tasks, you’ll discover cutting-edge tools & technologies.
Empowerment - Trust is a cornerstone of our culture. We'll hold your hand if you need it, but give you space if you’d like to push your limits. Don't lose sight of the goal, the rest is up to you.
Flexible ways of working – We love our location on Bartók Béla RoadStreet which is not only an office but also a community space. However, we respect our people to do their work when and how it they works best.
Balanced life - We love what we do and aim to work together with others who do their work with love. At the same time, we highly value fresh minds, for which we think a healthy work/life balance is essential! Forget about pointless meetings and unnecessary administration.
Mentoring from your first day – Continuous support is not just a set of fancy words we throw around here; your mentor follows you throughout your career path.
Learning & Development opportunities - If you want to keep learning and improving, we are on to a great track! We look forward to helping you unlock your potential.
Supportive corporate culture - In addition to our professional success, we are proud of the social cohesion that is based on comradery, mutual support, and respect and is constantly nurtured in the company.
Lots of fun – The Hiflylabs’ community is made up of more than 250+ open-minded people from different backgrounds but with shared values. We have a lot of fun together, we’ve already booked your place for the next wine tasting, FIFA & foosball tournament.

Senior Analytics Engineer_Brazil

We're Hiflylabs, a vibrant team of 250+ data and tech enthusiasts based in Budapest, Hungary and also build a Hub in Brasil. From data engineering to data science, artificial intelligence and application development, we work on a wide range of projects around the world.