We’re looking for a skilled and forward-thinking Data Engineer to play a key role in a major digital transformation journey. This is an opportunity to lead complex data initiatives, strengthen enterprise-wide data architecture, and embed scalable, secure, and high-quality data practices across the organisation.
The Role
You’ll design, build, and optimise modern cloud-based data platforms (warehouse, lake, or lakehouse) that enable advanced analytics and machine learning use cases. Working closely with transformation, analytics, and business stakeholders, you’ll combine hands‑on technical delivery with strategic input into the future data roadmap.
Key responsibilities include:
* Designing scalable, observable, and well‑orchestrated data pipelines
* Building and maintaining cloud-based data warehouses and lakes
* Implementing dimensional modelling, SCDs, and managing schema evolution
* Embedding data quality, validation, governance, and lifecycle management frameworks
* Supporting incremental processing, CDC, and near‑real‑time data solutions
* Driving documentation standards, data catalog adoption, and governance best practice
* Ensuring GDPR compliance and secure data lifecycle management
* Collaborating on middleware and integration architecture with solution design teams
What We’re Looking For
* Strong programming skills (Python, SQL, and/or Java)
* Hands‑on experience with cloud platforms (Azure, AWS, or GCP)
* Experience with ETL and orchestration tools (e.g. Airflow, Azure Data Factory, Talend)
* Knowledge of data warehousing solutions (e.g. Snowflake, BigQuery, Redshift)
* Strong understanding of data governance, security, and GDPR
* Experience embedding testing into CI/CD pipelines and implementing data observability
* Confident handling large‑scale cleansing, late‑arriving data, and schema changes
* Ability to balance cost optimisation with performance in cloud environments
The Person
You’ll bring both technical depth and leadership capability — able to operate strategically while remaining hands‑on. You’re analytical, collaborative, and proactive, with the confidence to challenge thinking and embed sustainable data best practices across teams.
Experience within procurement, consultancy, or the public sector would be beneficial but is not essential.
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