Ready to reshape a data platform from the ground up? Join Us!
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.
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
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
- 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
- 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)
- B2B contract 13500-17500 zł net/mandate contract 13500-17500 zł gross,
- 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.
- Work type
- B2B/UZ
- Department
- Data & AI
- Location
- 100% remote