Data Engineer in Poland — BigQuery, Python & Airflow

HeadHR; Poland; Remote; PLN 140,000 - 210,000; Full time

Job summary

Andersen in Poland is seeking a Data Engineer to join a team delivering large-scale analytics solutions and data platforms that turn audience and media data into insights. You will work on data-driven audience measurement and advertising analytics powered by connected-device and media consumption data.

The role emphasizes production-grade Python, SQL, Airflow, and cloud experience (AWS or Databricks), with a focus on data quality, reproducibility, and scalable pipelines across reporting products.

Qualifications

• 3+ years as Data Engineer
• Production experience on AWS or Databricks
• Strong SQL with BigQuery or PostgreSQL
• Production-grade Python
• Airflow DAG authoring
• Distributed processing and workflow orchestration
• APIs-first services with streaming/event-driven systems
• Bachelor's degree in CS/related field or equivalent
• English level Upper-Intermediate+

Responsibilities

• Serve as the primary Data Engineer contact for reports, data availability, metric discrepancies, and pipeline behavior.
• Write and execute SQL queries (BigQuery, PostgreSQL) to validate report outputs, isolate data anomalies, and confirm fixes.
• Reproducing and documenting data issues, coordinating with the core DE team for resolution.
• Supporting ad hoc data pulls and validation requests tied to reporting products.
• Setting up and configuring cloud environments required for partner data delivery, including AWS S3 buckets, IAM policies, and SFTP endpoints.

Skills

Data Engineering

AWS

Databricks

SQL

Python

Airflow

Distributed processing

APIs/ streaming

Education

Bachelor's degree in CS/related

Tools

AWS

Databricks

BigQuery

PostgreSQL

Job description

Andersen in Poland is seeking a Data Engineer to join a team delivering large-scale analytics solutions and data platforms that turn audience and media data into insights. You will work on data-driven audience measurement and advertising analytics powered by connected-device and media consumption data.

The role emphasizes production-grade Python, SQL, Airflow, and cloud experience (AWS or Databricks), with a focus on data quality, reproducibility, and scalable pipelines across reporting products.