Client: specialises in providing high-quality global geospatial and POI (Point of Interest) datasets, enriched with advanced machine learning to enable smarter business decisions. Their solutions cover mobility insights, audience segmentation, catchment and foot-traffic analysis across industries such as retail, AdTech/MarTech, FMCG, consulting and market research.Position: Data EngineerLocation: 100% RemoteEmployment Type: B2B - Full-timeRequired Technical Skills: Very good knowledge of Apache Spark and PySpark, including performance optimization and tuning. Experience in building, maintaining, and optimizing ETL/ELT processes and large Data Lakes.

Practical experience with Google Cloud Platform (GCP), especially:

BigQuery DataProc (Spark) Iceberg Cloud Functions, Pub/Sub, Cloud Storage, Cloud Monitoring

Experience in ensuring Data Quality, including:

data testing and validation anonymization, cleaning, and data transformation

Ability to diagnose and resolve data pipeline issues (troubleshooting, maintenance). Experience in performance optimization and managing data reliability and consistency. Knowledge of Python for data engineering and automation. Nice to Have: Experience in building test data sets. Knowledge of OpenAPI standard. Writing automated tests. Experience with Apache Sedona. Soft Skills: Ability to collaborate effectively with business and technical stakeholders. Proactive approach to identifying and solving data issues. Focus on quality, performance, and reliability. Strong communication skills and ability to work in complex data environments. Education & Experience: Higher education (preferred fields: computer science, mathematics, data analysis or related). Experience working as a Data Engineer or in a related role (e.g., Data QA Engineer, ETL Developer). Offer: Contract: B2B with polish company Salary: up to 210 pln/h 100% remote Polish time zone Polish public holidays Long term cooperation 1 technical interview