Data Engineer

Digital Forms; Polska; A distancia; PLN 140.000 - 210.000; Jornada completa

Descripción de la vacante

Digital Forms is seeking a Data Engineer to build and maintain scalable data pipelines, shape data infrastructure, and enable business insights for a global team. The role offers full remote work from Poland under a flexible B2B contract.

You will design data architectures, ensure data quality and availability, and collaborate with analysts to define data requirements for BI and reporting initiatives. Proficiency in SQL, Python, Airflow/Talend, and cloud platforms is required.

Formación

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

Responsabilidades

• Build and maintain scalable ETL/ELT data pipelines to a central Data Lake.
• Design and optimize data architectures for reporting and analytics.
• Ensure data quality, security, and availability across systems.
• Collaborate with analysts to define data requirements for BI.
• Monitor and troubleshoot pipelines for smooth operation.
• Stay updated on data engineering trends and best practices.

Conocimientos

SQL

Python

Data pipelines

Herramientas

Apache Airflow

Talend

Snowflake

AWS S3

BigQuery

AWS

GCP

Azure

Descripción del empleo

Requirements 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.

Highlights

Build robust data pipelines, shape data infrastructure, and work remotely with a global team. Flexible B2B contract and opportunities to grow in the field of data engineering. Originally posted on Himalayas

Work remotely from Poland on a B2B contract.

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.