Senior Data Engineer - CR 12/11/26
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- Stated location
- Poland
- Listing updated on our site
- 13 Nov 2026, 23:01 EAT
- Mentions "eat"
- Timezone range utc+1 to utc+1 overlaps EAT (UTC+3)
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| Employer | Verified Direct Employer (Protected) |
|---|---|
| Location | Poland |
| Remote type | Contractor |
| Salary | PLN180 - PLN200 (hourly) |
| Posted | 3h ago |
| Application Status | Pro Membership & Free Pass Access |
| Vetting | Automated Kenya-friendly signals — confirm eligibility |
About this role (Direct Employer Details Protected)
We are looking for a Senior Data Engineer to help drive the evolution of our Azure-based Data Platform and Lakehouse architecture.
This role is focused on Data Products development. The successful candidate will build pipelines in ADF, DAGs in Airflow and work closely with POs to refine business requirements and transform business needs into reliable Data Products in Databricks.
Key Responsibilites
- Implement scalable, reliable and reusable data pipelines using Azure Data Factory and Apache Airflow.
- Develop data transformations in Azure Databricks (PySpark / SQL) to create/extend data products following the Medallion Architecture layers:
- Bronze (raw ingestion)
- Silver (cleansed & conformed)
- Gold (business-ready data products)
- Optimize performance, cost, and reliability of data workloads.
- Raise important questions during business maturation in order to detect risks before development stage.
- Participate in architecture reviews and technical decision-making.
- Promote engineering excellence through code reviews and design reviews.
- Collaborate with Architects, Product Owners in data product technical maturation.
- Provide support to the Run/Operations team for production pipelines and data products for complex topics.
- Troubleshoot and resolve data incidents, failures, and performance issues
- Participate in incident management, root cause analysis, and post-mortems.
- Ensure proper handover, documentation, and operational readiness of developed solutions.
- Contribute to improving runbooks, monitoring, and operational processes.
Originally posted on [Employer]
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