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Offer summary
(Summary generated by AI based on the full job description)
The project involves a data platform for the insurance industry and data architecture on AWS. Technologies used include dbt, Airflow (MWAA), Kafka, Debezium, Terraform, Amazon Redshift. Responsibilities cover designing and implementing a new data lake architecture, building and maintaining ELT pipelines, migrating orchestration to Airflow, ensuring data quality and observability, and deploying solutions with full ownership. Offers training budget, medical care, and flexible working hours.
from: 13 July 2026
to: 12 August 2026
13 500 - 17 500 złnet (+ VAT)/ mth.B2B contract (full-time)
13 500 - 17 500 złgross/ mth.contract of mandate
Offer parameters
level:mid
working mode:remote
Warszawa, Mokotów
Requirements
Expected technologies
dbt
Airflow
Python
Terraform
AWS
ELT pipeline
Data Quality
data observability
Optional technologies
Kafka
Debezium
Amazon Redshift
OpenMetadata
dltHub
Our requirements
- 2+ years of experience 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 on AWS
- Familiarity with data lake concepts and batch/streaming architectures
- Comfort with Infrastructure as Code (Terraform or similar)
- Self-driven and able to operate with high autonomy - you don't wait to be told what to do next
- Fluency in both English (C1) and Polish (C1), written and spoken
Optional
- Experience with Kafka, Debezium, or other CDC tooling
- Familiarity with dltHub or similar ingestion frameworks
- Hands-on experience with Amazon Redshift and data warehouse optimization
- Background with OpenMetadata or other data catalog/governance tools
- Experience with healthcare datasets (FHIR, OMOP, DICOM)
Your responsibilities
- Design and implement the new data lake architecture on AWS
- Build and maintain ELT pipelines using dbt, dltHub, and Airflow
- Migrate existing orchestration from Step Functions to Airflow (MWAA)
- Ensure data quality, observability, and lineage across the platform
- Deploy your own solutions to production - no handoffs, full ownership
- Collaborate closely with a small, senior engineering team and contribute to technical decisions
About the project
Join our Data & AI team and work on a project where the decisions you make today become the foundation others build on tomorrow. As a Data Engineer, you'll join an insurance industry data platform project - an AWS-native solution that recently shipped its MVP and is now entering a phase of serious architectural evolution. You'll be rebuilding it the right way: from the ground up, with the right tools, the right patterns, and full ownership over what you ship.
What we're building right now:
● Migrating from direct-to-Redshift streaming to a proper data lake architecture
● Introducing batch loading alongside existing streaming pipelines
● Replacing Step Functions with Airflow (AWS MWAA) as the orchestration layer
● Moving workloads from ECS to EKS for better scalability and control
● Working with Kafka + Debezium for CDC, dltHub for ingestion, dbt + Cosmos for transformations, and OpenMetadata for data governance
We work in a "we build it, we run it" model - every engineer on the team can deploy their solutions to production without handing off to anyone else.
Ready to reshape a data platform from the ground up? Join Us!
Development opportunities we offer
- conferences in Poland
- development budget
- external training
- intracompany training
- mentoring
- support of IT events
- technical knowledge exchange within the company
What we offer
- 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.
Benefits
- sharing the costs of sports activities
- private medical care
- remote work opportunities
- flexible working time
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 team, you'll have the opportunity to design and build scalable data platforms on AWS, work hands-on with modern data stack technologies, and directly shape how businesses in regulated industries process, store, and make sense of their data.
This is how we work
Data Engineer
13.5k–17.5k zł / mth. (CoM), 13.5k–17.5k 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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