Data Engineer
Posted 648 days ago, which is unusual. The employer's own board was still carrying it when we last read it, 1 hour ago.
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 22h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 648d ago
The date the source published, not the day we noticed it (2025-01-23). Last seen at its source 1h ago.
We have tracked this listing since 12 Oct 2026 (21 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Poland
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay PLN 260k–399.8k/yr
Middle 50% of 37 listings that do state pay — Engineering · all levels · Poland · PLN/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Recruitee employer's own board first seen 21d ago · last seen 1h ago
The listing
Join our team as a Data Engineer! Design and implement robust data pipelines, build scalable data lakes, and enable business insights through efficient data systems. Work remotely from Poland on a B2B contract.
Responsibilities
Build and maintain scalable data pipelines (ETL/ELT) to collect, transform, and integrate data from various systems into a centralized Data Lake.
Design and optimize data architectures for reporting and analytics purposes.
Ensure data quality, security, and availability across systems.
Collaborate with analysts and stakeholders to define data requirements and support business intelligence efforts.
Monitor and troubleshoot data pipelines to ensure smooth operation.
Stay updated on industry trends and best practices in data engineering.
Must-Have Requirements
Hard Skills:
Proven experience in designing and maintaining data pipelines (e.g., Apache Airflow, Talend, or similar tools).
Strong knowledge of SQL and programming languages such as Python.
Experience with data lakes and data warehouses (e.g., Snowflake, AWS S3, or BigQuery).
Familiarity with cloud platforms (AWS, GCP, Azure) and related services for data processing.
Understanding of data modeling and optimizing database performance.
Soft Skills:
Analytical mindset with a problem-solving approach.
Strong communication skills to work effectively with technical and non-technical stakeholders.
Process-oriented and detail-focused, with an emphasis on quality.
Availability
Must be available for a 4-hour overlap between 15:00 and 19:00 Poland time to ensure real-time collaboration.