Data Platform Developer Trainee at Hiflylabs

Budapest, Central Hungary, Hungary -

Full Time

Start Date

Immediate

Expiry Date

03 Jun, 26

Salary

0.0

Posted On

05 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Git, Data Engineering, Data Science, Artificial Intelligence, Application Development, Data Warehousing, Business Intelligence, Data Analytics, ELT Pipelines, Visualization, Monitoring, Troubleshooting, AI-assisted Development

Industry

IT Services and IT Consulting

Description

Company Description 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! Job Description Responsibilities: Help us build impactful data products! Build real stuff on a cloud data platform: contribute to features and improvements across ingestion, transformation, and serving layers Create & maintain ELT pipelines: bring new data in, transform it reliably, and keep it running as requirements evolve Turn business questions into dashboards: collaborate with business stakeholders to create and improve reports and visualizations Help keep these platforms healthy: support deployments, monitoring, and troubleshooting (you’ll learn how “production” really works) Qualifications Requirements: If you don’t tick every box, apply anyway - curiosity and willingness to learn matter more than buzzwords. You don’t need to be “done learning.” You do need to be ready to build and grow fast. SQL fundamentals: you can write queries with joins and aggregations Programming basics: experience with Python (preferred) or another modern language Git basics: you understand version control concepts (commits, branches, collaboration) Motivation: you’re genuinely interested in data engineering and how data powers analytics and business decisions Curiosity about applied AI: you’re interested in how data enables AI/ML AI-assisted development mindset: you use AI-powered IDE features and coding agents to accelerate learning and delivery while keeping quality and correctness in check. You’ve done something practical: you’re pursuing a STEM degree and have at least one of these: relevant university courses, or online courses (Udemy/Coursera), or a data project (university or personal) Student status: active student with at least 1 full semester remaining Availability: at least 20 hours/week Language: conversational English Nice to have — bonus points, not blockers (curiosity outweighs experience) Experience with relational databases and basic database design Familiarity with cloud data warehouses / lakehouses and analytics modeling concepts (e.g., star schema) Hands-on exposure to modern data platforms (Snowflake, BigQuery, Databricks) Familiarity with BI tools (Power BI, Tableau, Looker) Exposure to a major cloud platform (AWS/Azure/GCP) CI/CD principles and an interest in automation Additional Information “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. 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 Road which is not only an office but also a community space. However, we respect our people to do their work when and how it 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. Tag: DWH

Responsibilities

The role involves building impactful data products by contributing to features and improvements across ingestion, transformation, and serving layers on a cloud data platform. Responsibilities also include creating and maintaining ELT pipelines, developing business dashboards, and supporting platform health through deployment and monitoring.