Data Engineer
⚲ Gdańsk
14 000 - 19 500 PLN netto (B2B) | 11 600 - 16 250 PLN brutto (UoP)
Wymagania
- Power BI
- ELT
- SQL
- Python
- Airflow
- SSIS
Opis stanowiska
IVER is a leading Nordic IT and cloud transformation partner, delivering secure and innovative solutions in operations, cybersecurity, and cloud services.
We've outgrown the Windows-locked black box of Power BI. We're building a high-performance, open-source analytics platform on strong on-prem infrastructure: a stack built on ClickHouse, Cube.js, and Apache Superset. First architectural decisions are made and we're already in the testing phase.
We're looking for a code-driven Data Engineer who lives and breathes data modeling and semantic layer design to help translate our existing Power BI logic into this modern, transparent, scalable stack. You'll work with real systems and data, at scale, alongside experienced platform engineers.
The position is available from 1st October 2026.
SALARY:
11 600 – 16 250 PLN gross/month Permanent
80 - 120 net/hour B2B
14 000 – 19 500 PLN net/month B2B
KEY FACTS:
• Design and implement of the semantic layer to serve as the "single source of truth" for internal and customer BI.
• Translate legacy Power BI reports and business logic into the new technology stack.
• Build, maintain, and optimize robust ELT pipelines.
• Ensure high performance and query optimization across our data models.
WE EXPECT FROM YOU:
• Strong data modeling: layered models, business metrics, clean semantic layers
• Advanced SQL: ingestion, complex manipulation, query optimization
• Python (or another backend language) and a solid Git-based workflow
• ELT experience: robust pipelines, multi-source integration, Change Data Capture (CDC)
• Hands-on with Airflow or similar orchestration tools
• A configuration-as-code mindset
• Clear communicator, comfortable with hybrid work, English B2/C1
APPRECIATED:
• BI migration experience (Power BI / SSIS → open-source stack)
• Cube.js, ClickHouse, or Apache Superset
• Docker
• A sharing mindset - open to putting your engineering out in the world
AI-FIRST MINDSET
We encourage AI-assisted engineering and provide access to assistants like GitHub Copilot and Claude. As an infrastructure company self-hosting our own open-source models, we also give you a rare chance to see how AI works behind the scenes on real hardware and scale.
WE PROVIDE YOU:
• Scandinavian work style & international environment
• Full-time employment agreement or B2B contract
• Flexible work hours & Hybrid work (3 office days)
• 28 paid days off for a B2B contract
• 3000 PLN yearly training budget & Pluralsight access
• English lessons with a native speaker
• Sport package, private health care, and life insurance
• Recommendation bonus & Car parking
We've outgrown the Windows-locked black box of Power BI. We're building a high-performance, open-source analytics platform on strong on-prem infrastructure: a stack built on ClickHouse, Cube.js, and Apache Superset. First architectural decisions are made and we're already in the testing phase.
We're looking for a code-driven Data Engineer who lives and breathes data modeling and semantic layer design to help translate our existing Power BI logic into this modern, transparent, scalable stack. You'll work with real systems and data, at scale, alongside experienced platform engineers.
The position is available from 1st October 2026.
SALARY:
11 600 – 16 250 PLN gross/month Permanent
80 - 120 net/hour B2B
14 000 – 19 500 PLN net/month B2B
KEY FACTS:
• Design and implement of the semantic layer to serve as the "single source of truth" for internal and customer BI.
• Translate legacy Power BI reports and business logic into the new technology stack.
• Build, maintain, and optimize robust ELT pipelines.
• Ensure high performance and query optimization across our data models.
WE EXPECT FROM YOU:
• Strong data modeling: layered models, business metrics, clean semantic layers
• Advanced SQL: ingestion, complex manipulation, query optimization
• Python (or another backend language) and a solid Git-based workflow
• ELT experience: robust pipelines, multi-source integration, Change Data Capture (CDC)
• Hands-on with Airflow or similar orchestration tools
• A configuration-as-code mindset
• Clear communicator, comfortable with hybrid work, English B2/C1
APPRECIATED:
• BI migration experience (Power BI / SSIS → open-source stack)
• Cube.js, ClickHouse, or Apache Superset
• Docker
• A sharing mindset - open to putting your engineering out in the world
AI-FIRST MINDSET
We encourage AI-assisted engineering and provide access to assistants like GitHub Copilot and Claude. As an infrastructure company self-hosting our own open-source models, we also give you a rare chance to see how AI works behind the scenes on real hardware and scale.
WE PROVIDE YOU:
• Scandinavian work style & international environment
• Full-time employment agreement or B2B contract
• Flexible work hours & Hybrid work (3 office days)
• 28 paid days off for a B2B contract
• 3000 PLN yearly training budget & Pluralsight access
• English lessons with a native speaker
• Sport package, private health care, and life insurance
• Recommendation bonus & Car parking
🔍 Dekoder Ogłoszenia
🔴
We've outgrown the Windows-locked black box of Power BI.
Firma odchodzi od swojego dotychczasowego, być może ograniczonego narzędzia do analizy danych, co może oznaczać potrzebę szybkiego dostosowania się do nowych technologii.
🔴
We're building a high-performance, open-source analytics platform on strong on-prem infrastructure: a stack built on ClickHouse, Cube.js, and Apache Superset.
Projekt jest na wczesnym etapie rozwoju, co może oznaczać niepełną dokumentację, potencjalne problemy z integracją i konieczność aktywnego rozwiązywania problemów.
🔴
First architectural decisions are made and we're already in the testing phase.
Pomimo tego, że pewne decyzje zostały podjęte, projekt jest w fazie testów, co sugeruje możliwość zmian i iteracji w architekturze.
🟡
We're looking for a code-driven Data Engineer who lives and breathes data modeling and semantic layer design to help translate our existing Power BI logic into this modern, transparent, scalable stack.
Oczekuje się od kandydata głębokiego zaangażowania i pasji do modelowania danych, co może oznaczać dużą odpowiedzialność i potrzebę ciągłego rozwoju w tej dziedzinie.
🟢
You'll work with real systems and data, at scale, alongside experienced platform engineers.
Praca z dużymi zbiorami danych i doświadczonymi inżynierami platformy może być wyzwaniem, ale też szansą na naukę i rozwój.