Senior Data Engineer

The Role

We're looking for a Senior Data Engineer with strong commercial experience building and supporting modern data platforms. You'll work hands-on designing, building, and improving data pipelines that enable analytics, AI, and data-driven decision making.

Essential Skills

• 5+ years' experience in Data Engineering or a related software engineering role.

• Experience building and maintaining production-grade data pipelines and platforms.

• Strong understanding of data modelling, transformation, cleansing, and preparation.

• Strong SQL skills and commercial experience with Python and/or Spark.

• Experience designing and delivering ETL/ELT solutions in cloud environments.

• Experience with modern data platforms such as Databricks, Snowflake, or Microsoft Fabric.

• Familiarity with cloud data services (AWS, Azure, or GCP).

• Experience working with structured and semi-structured data (e.g. JSON, Parquet).

• Strong problem-solving, communication, and stakeholder collaboration skills.

Desirable Skills

• Experience with data engineering tools such as AWS Glue, Azure Data Factory, Apache Beam, or dbt.

• Exposure to data governance and cataloguing tools such as Purview, Collibra, or Unity Catalog.

• Experience with CI/CD, orchestration, and data quality practices.

• Knowledge of analytics, reporting, or AI/ML use cases.

• Experience working in agile, delivery-focused teams.

Typical Experience

• Building scalable data pipelines and data platforms.

• Data modelling, transformation, and preparation.

• Working with Databricks, Snowflake, Fabric, or similar technologies.

• Implementing ETL/ELT processes and data integration solutions.

• Applying data governance, lineage, and security best practices.

• Developing solutions using Python, Spark, and SQL.