Senior Data Engineer – Strategic Data Solutions

About the role

We are looking for an experienced Senior Data Engineer to design, develop, and support scalable data platforms and pipelines. The role involves close collaboration with product, analytics, and platform engineering teams to deliver reliable, cloud‑native data solutions across multiple markets.

Key responsibilities

• Design, develop, and optimise batch and streaming data pipelines using Python, Spark/PySpark and SQL.
• Build and maintain cloud‑native data platforms such as data lakes, warehouses and real‑time processing systems.
• Deploy and manage data applications on Kubernetes, implementing CI/CD pipelines with GitLab CI/CD.
• Monitor platform health, troubleshoot production issues and perform root‑cause analysis.
• Mentor junior engineers and contribute to architecture reviews and technical documentation.

Required profile

• 6+ years of experience delivering enterprise‑scale data solutions.
• Strong background in designing ETL/ELT pipelines and data modelling.
• Hands‑on experience with modern lakehouse technologies (e.g., Apache Iceberg, Hive, Trino, BigQuery, Redshift, ClickHouse, Snowflake).
• Proficiency in cloud object storage (Amazon S3 or compatible).
• Experience working in Agile environments and using JIRA.

Required skills

• Python
• Spark / PySpark
• SQL
• Apache Kafka
• Apache Iceberg, Hive, Trino, BigQuery, Redshift, ClickHouse, Snowflake
• Amazon S3
• MySQL, Oracle, MongoDB
• SQLAlchemy, PyMongo
• Kubernetes, Docker
• GitLab CI/CD