Data Engineer
Join Iver as Data Engineer in Gdańsk: build a transparent, scalable analytics platform with ELT pipelines and governed data models.
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
- Department
- Software development
- Locations
- Gdansk
- Remote status
- Hybrid
Gdansk
Why work with us?
-
Scandinavian workstyle
We value work – life balance, autonomy in striving to achieve the common goals, supporting attitude of managers, focus on continuous development, equal-for-all communication style. -
New technologies
We use new technologies in our day-to-day tasks. -
International environment
We work with our colleagues from Stockholm office so we communicate in English on a daily basis. -
Personal development
We offer a training budget for you to develop your skills, our in-house library and an acces to the course platform. If you want to pick up your English you can join our English classes with a native speaker. -
Flexibility
We accept B2B and employement contracts - it is up to you! We offer flexible working hours with a possibility of remote work. -
Social package
We offer private medical care, sport package, life insurance and a parking space if you need one. -
Great atmosphere
We meet often after working hours. We learn and party together during occassional company events.
Workplace & culture
We work in small agile teams that are entrusted to provide complete solutions.
We communicate in English on daily basis with our Swedish colleagues.
We value mastery, autonomy, and purpose as a way to achieve the best results.
We use opportunity to travel and meet on regular basis face to face when needed.
We work in a friendly, supportive environment as one multinational team.