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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on building and re‑architecting Data Lakehouse / Data Warehouse platforms on AWS, spanning greenfield builds, migrations and performance tuning. Typical stack includes Apache Iceberg, dbt, Airflow (MWAA), Apache Kafka, Amazon Redshift/Athena/S3 Tables, Snowflake, DuckDB/ClickHouse, Terraform. Responsibilities cover designing and operating architectures, building ELT/ETL pipelines, orchestration design and migrations, ensuring data quality, observability and lineage, and deploying own solutions to production with full ownership. Compensation: 15 000–24 000 PLN (B2B). Benefits: training budget, private healthcare, multisport co‑funding, language courses, remote work and flexible hours.
from: 7 October 2026
to: 6 November 2026
15 000 - 24 000 złnet (+ VAT)/ mth.B2B contract (full-time)
Offer parameters
level:mid
working mode:remote
Warszawa, Mokotów
Requirements
Expected technologies
DBT
AWS
Apache Iceberg
Airflow
dltHub
Our requirements
- 3+ years in data engineering with production-grade delivery,
- Hands-on experience with dbt and at least one modern orchestration tool (Airflow preferred),
- Solid Python skills and experience building and operating data pipelines,
- Familiarity with data lake / data lakehouse concepts (Apache Iceberg) and batch/streaming architectures,
- Experience with at least one modern warehouse or query engine,
- Comfort with Infrastructure as Code (Terraform or similar),
- High agency: you get a goal, not a step-by-step list, and you organize your own work to deliver it. You don't wait to be told what to do next,
- Fluency in both English (C1) and Polish (C1), written and spoken.
Optional
- Current experience in the healthcare industry will be a big plus, or a willingness to grow in this specialization. We build platforms for hospitals and research institutions, based on the HL7 FHIR and OMOP CDM data models. If you are curious to explore it and deep dive into it, that is enough to start.
Your responsibilities
- Design, implement and maintain Data Lakehouse and Warehouse architectures on AWS,
- Build and maintain ELT pipelines using dbt, dltHub, and Airflow,
- Design orchestration and migrate between orchestration layers when needed,
- Ensure data quality, observability, and lineage across the platform,
- Deploy your own solutions to production, no handoffs, full ownership,
- Collaborate with a small engineering team and contribute to technical decisions.
About the project
Ready to reshape a data platform from the ground up? Join Us!
You won't be locked into one project. Our projects range from greenfield builds to re-architecting existing platforms, from small two-week engagements to multi-year deliveries, across several industries. Some weeks you design a data lake from scratch, other weeks you migrate an orchestration layer or tune a warehouse. What stays constant is ownership: we work in a "we build it, we run it" model, so every engineer deploys their own solutions to production without handing off to anyone else.
The stack you'll work with
We pick tools per project, but this is the technology you'll typically touch:
This is how we organize our work
This is how we work
at the client's siteyou develop several projects simultaneouslyyou have influence on the choice of tools and technologiesyou have influence on the technological solutions applied
What we offer
- B2B contract 15 000-24 000 PLN net,
- Continuous learning and growth – we invest in your development through internal training, knowledge-sharing sessions, and hands-on learning from real projects. We also support growth beyond the organization by actively engaging in the AWS Community, including conference talks and industry events.
- Training budget – dedicated funds to support certifications, courses, and professional development aligned with your career goals.
- Medical care package – comprehensive private healthcare to help you stay healthy and focused.
- Multisport card co-financing – because staying active matters, both in and outside of work.
- Language learning platform access – improve your language skills at your own pace, whenever it suits you.
- Flexible working hours & remote work – work when and where you’re most productive.
- Company events – time for integration and some fun.
Development opportunities we offer
- conferences abroad
- conferences in Poland
- development budget
- external training
- intracompany training
- mentoring
- support of IT events
- technical knowledge exchange within the company
Benefits
- sharing the costs of sports activities
- private medical care
- sharing the costs of foreign language classes
- sharing the costs of professional training & courses
- remote work opportunities
- flexible working time
- integration events
- no dress code
- extra leave
Chaos Gears S.A.
As a leading AWS Partner in Europe, we support organizations at every stage of their cloud journey. Our strength comes from deep experience in cloud-native architectures. By joining our Data & AI team, you'll design and build scalable data platforms on AWS, work hands-on with the modern data stack, and directly shape how businesses in regulated industries process, store, and make sense of their data.
This is how we work
Mid Data Engineer (AWS)
15k–24k zł / mth. (B2B)
I apply to:
Chaos Gears S.A.
Warszawa, Mokotów
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Informujemy, że administratorem danych jest Chaos Gears S.A. z siedzibą w Warszawie ul. Goraszewska 19, (dalej jako "administrator"). Masz prawo do żądania dostępu do swoich danych osobowych, ich sprostowania, usunięcia lub ograniczenia przetwarzania, prawo do wniesienia sprzeciwu wobec przetwarzania, a także prawo do przenoszenia danych oraz wniesienia skargi do organu nadzorczego. Dane osobowe przetwarzane będą w celu realizacji procesu rekrutacji. Podanie danych w zakresie wynikającym z ustawy z dnia 26 czerwca 1974 r. Kodeks pracy jest obowiązkowe. W pozostałym zakresie podanie danych jest dobrowolne. Odmowa podania danych obowiązkowych może skutkować brakiem możliwości przeprowadzenia procesu rekrutacji. Administrator przetwarza dane obowiązkowe na podstawie ciążącego na nim obowiązku prawnego, zaś w zakresie danych dodatkowych podstawą przetwarzania jest zgoda. Dane osobowe będą przetwarzane do czasu zakończenia postępowania rekrutacyjnego i przez okres możliwości dochodzenia ewentualnych roszczeń, a w przypadku wyrażenia zgody na udział w przyszłych postępowaniach rekrutacyjnych - do czasu wycofania tej zgody. Zgoda na przetwarzanie danych osobowych może zostać wycofana w dowolnym momencie. Odbiorcą danych jest serwis Just Join IT oraz inne podmioty, którym powierzyliśmy przetwarzanie danych w związku z rekrutacją.
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