Data Engineer
⚲ Warszawa, Mokotów
13 500–17 500 zł / mies. (zal. od umowy)
Wymagania
- dbt
- Airflow
- Python
- Terraform
- AWS
- ELT pipeline
- Data Quality
- data observability
- Kafka
- Debezium
- Amazon Redshift
- OpenMetadata
- dltHub
Opis stanowiska
Nasze wymagania:
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
Mile widziane:
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)
O projekcie:
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.
Zakres obowiązków:
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
Oferujemy:
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.
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
Mile widziane:
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)
O projekcie:
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.
Zakres obowiązków:
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
Oferujemy:
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.
🔍 Dekoder Ogłoszenia
🟡
production-grade delivery
Oczekuje się, że dostarczone rozwiązania będą stabilne, skalowalne i gotowe do użytku w środowisku produkcyjnym, a nie tylko prototypy.
🔴
you don't wait to be told what to do next
Oczekuje się od Ciebie proaktywności i samodzielnego podejmowania decyzji, co może oznaczać brak jasnych wytycznych lub potrzebę samodzielnego definiowania zadań.
🔴
rebuilding it the right way: from the ground up, with the right tools, the right patterns, and full ownership over what you ship
Projekt może być w początkowej fazie rozwoju z potencjalnie niedojrzałą architekturą, wymagającą gruntownych zmian i odpowiedzialności za wprowadzane innowacje.
🔴
entering a phase of serious architectural evolution
Obecna architektura może być niestabilna lub nieoptymalna, co oznacza, że będziesz pracować nad jej znaczącymi zmianami i potencjalnie rozwiązywać istniejące problemy.
🔴
full ownership over what you ship
Będziesz w pełni odpowiedzialny za swoje wdrożenia, co może oznaczać konieczność samodzielnego rozwiązywania problemów po wdrożeniu.