Senior Data Engineer

This is a fully remote position, open to applicants in Europe.

📋 Description

• Design, construct, and uphold scalable batch and streaming data pipelines.

• Create dependable ETL/ELT workflows utilizing Python, Spark, and contemporary orchestration tools.

• Enhance data quality, validation, monitoring, and observability across the platform.

• Develop data models that facilitate analytics and product advancement.

• Establish ingestion pipelines that connect various external and internal data sources.

• Improve the performance of large-scale processing and ensure platform reliability.

• Collaborate closely with product managers and engineers to convert business requirements into technical solutions.

• Leverage modern AI-assisted development tools to boost engineering productivity.

⛳️ Requirements

• Over 4 years of experience as a Data Engineer.

• Proficient in Python and SQL.

• Practical experience with Spark/PySpark.

• Proven track record in building production ETL/ELT pipelines.

• Solid understanding of data modeling principles.

• Familiarity with workflow orchestration tools like Airflow.

• Experience with cloud data platforms.

• A strong sense of ownership and the capability to work independently.

• Proficient in professional English.

• Nice to have:

• Knowledge of Delta Lake or Lakehouse architecture.

• Experience with MongoDB or other NoSQL databases.

• Familiarity with CDC and streaming technologies (Kafka, Debezium, etc.).

• Understanding of data quality frameworks (Great Expectations or similar).

• Experience with metadata, lineage, or observability tools.

• Awareness of AI-assisted development tools (GitHub Copilot, Cursor, Claude Code, etc.).

🏝️ Benefits

• Fully remote position within Europe.

• Long-term product with considerable technical challenges and opportunities for growth.