Data Engineer

Digital Forms; Poland; On-site; USD 48,000 - 75,000; Full time

Job summary

Digital Forms is seeking a Data Engineer to 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 include building ETL/ELT pipelines, optimizing data architectures for analytics, and ensuring data quality and security across systems. You'll collaborate with analysts and stakeholders and stay current with data-engineering trends.

Qualifications

• Proven experience in designing and maintaining data pipelines (ETL/ELT).
• Strong knowledge of SQL and programming languages such as Python.
• Experience with data lakes and data warehouses (Snowflake, S3, BigQuery).
• Familiarity with cloud platforms (AWS, GCP, Azure) and related services for data processing.
• Understanding of data modeling and optimizing database performance.

Responsibilities

• Build and maintain scalable data pipelines 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.

Skills

SQL

Python

ETL/ELT design

Data modeling

Airflow

Tools

Apache Airflow

Talend

Snowflake

AWS S3

BigQuery

GCP/AWS/Azure

Job description

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.

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.