Senior Data Engineer

Role overview Build and evolve a data mesh platform that gives product, analytics, AI, and business teams reliable data they can use with confidence. The role combines data pipeline engineering, platform architecture, and operational quality, with a focus on scalable AWS-based lakehouse systems and AI/ML-ready datasets.

Responsibilities - Develop and optimize end-to-end pipelines using dbt, Python, PySpark, Polars, and SQL. - Operate and improve data infrastructure built around AWS Glue, Athena, S3, IAM, and related services. - Design and maintain Apache Iceberg tables, including schema changes, partitioning, compaction, and storage efficiency. - Improve data quality, observability, lineage, monitoring, and governance across the platform. - Turn business and analytical needs into maintainable datasets, data services, and APIs. - Collaborate with data scientists, analysts, engineers, and product teams; document architecture and operational decisions. - Develop platform patterns and datasets that support analytics, machine learning, and predictive applications.

Requirements - Experience in data engineering, data infrastructure, or data platform work. - Strong practical skills in dbt, Python, and SQL for reliable, scalable pipelines. - Significant experience with AWS data services, including Glue, Athena, S3, and IAM. - Production experience with Apache Iceberg or a comparable lakehouse table format. - Skill processing large datasets with PySpark, Polars, or both. - Ability to design modular data architectures and explain technical ideas to varied audiences.

Nice to have Experience with workflow orchestration, Terraform or AWS CDK, data catalogues and governance, streaming pipelines, and AI/ML data systems. Mentoring junior engineers and adapting to changing priorities are also valued.

Benefits and work setup The position is remote first and advertised across multiple countries. Target base salaries in the EU start at €75,000 in Spain and €75,000 in Portugal. The stated benefits include flexible scheduling, paid family bonding leave, two paid charitable days, an annual bonus or sales incentive plan, international collaboration, and access to learning platforms.