About the company
For more than 18 years, Qubiz has been a leading tech company with 350+ employees.
By prioritising people, both colleagues and clients, we have created an environment focused on well-being, which allows us to deliver exceptional performance.
Most importantly, our retention rate has consistently remained around 90%, and many of our colleagues have been with us for 5, 10 or even 15 years — a strong testament to the long and successful careers people can build with us.
Key responsibilities
- Design and implement end-to-end data pipelines (batch & streaming)
- Build and maintain data lake / Lakehouse architectures using modern cloud tools
- Implement Medallion Architecture (Bronze, Silver, Gold layers) for scalable data processing
- Process and optimize high-volume datasets using Apache Spark (PySpark) or SQL
- Develop robust data models for analytics and reporting
- Ensure data quality, governance, lineage, and security
- Integrate and leverage AI tools (LLMs, embeddings, ML pipelines) where relevant
- Collaborate with analysts, data scientists, and stakeholders to deliver insights
- Optimize pipelines for performance, scalability, and cost efficiency
- Build automated data pipelines and workflows (DataOps mindset, CI/CD)
- Mentor junior engineers and drive best practices
Requirements
- 5+ years experience in Data Engineering or similar roles
- Strong expertise in Python, Apache Spark / PySpark, and SQL & Data Warehousing concepts
- Proven experience with Data Lakes, large-scale data processing, and Medallion architecture
- Hands-on experience with Microsoft ecosystem: Microsoft Fabric / Azure Data Services / Synapse / Data Factory
- Experience with Power BI or similar BI tools
- Strong understanding of ETL/ELT pipelines, data modeling, and performance optimization
- Experience with real-time or near real-time data pipelines
- Experience working with AI/ML-enabled data platforms
- Familiarity with LLMs (e.g. GPT-based tools), embeddings, or vector databases
Nice-to-have
- Experience with Databricks
- Experience with DBT
- Experience with streaming tools (Kafka, Event Hubs)
- Familiarity with automation of data pipelines (DataOps, orchestration tools)
- Infrastructure as Code (Terraform, ARM)
- Data governance tools
What is in it for you?
- Real responsibilities and challenging projects
- Friendly environment
- Clear career paths and mentorship opportunities
- Training and certifications to boost your skills
- Additional annual leave days based on seniority
- Private health insurance
- Company events
- Discount for gym or sports pass of your choice
- Discount for prescription glasses
- Meal vouchers