Data Engineer
At a glance
Mid-level Data Engineering role at Digital Forms. Remote, Poland · contract.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and look after ETL/ELT flows that bring information from multiple systems into a shared data lake
- Shape data architecture for reporting and analytics, and keep data accurate, secure and available
- Work with analysts and stakeholders to establish data needs and support business intelligence work
- Watch pipeline performance and resolve issues that interrupt reliable operation
What you bring
- You have hands-on experience creating and maintaining data pipelines with Airflow, Talend or comparable tools
- You bring strong SQL skills, programming ability in Python or similar languages, and experience with data lakes and warehouses
- You understand cloud data-processing services, data modeling and ways to improve database performance
Who this fits
This remote contractor role suits a mid-level data engineer who can work from Poland. You must be available for a four-hour daily overlap from 15:00 to 19:00 Poland time. Clear communication and a careful, problem-solving approach matter when working with technical and non-technical stakeholders.
From the employer
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.
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