Salary: £82,000 – 95,000 per year
Requirements
- 10+ years of experience in Data Engineering.
- Experience in a Lead or Principal Data Engineering role.
- Strong cloud data platform expertise, including Google Cloud Platform (GCP).
- Hands‑on experience with BigQuery, Dataflow, Datastream, Data Fusion, Cloud Functions, Dataproc, and Airflow/Composer.
- Advanced SQL and Python skills.
- Expertise in data lakes, data warehouses, and modern data architectures.
- Strong understanding of data governance, lineage, MDM, data privacy, and PII handling.
- Experience optimising complex queries and large‑scale data processing.
- Proven mentoring, coaching, and leadership capability.
- Experience working within Agile/Scrum environments and across the full software development lifecycle.
- Full right to work in the UK is required; sponsorship is not available.
Responsibilities
- Provide technical leadership across data engineering teams and product domains.
- Define and implement data platform architecture, standards, and best practices.
- Design and optimise data ingestion, transformation, quality, security, monitoring, and governance processes.
- Lead the development of Data Mesh principles, data models, and semantic data layers.
- Drive automation, CI/CD adoption, and continuous improvement initiatives.
- Mentor and coach data engineers, promoting engineering excellence.
- Ensure cross‑domain interoperability, scalability, and compliance.
- Collaborate with architects, platform engineers, and business stakeholders to deliver robust data solutions.
Technologies
- Airflow
- BigQuery
- CI/CD
- Cloud
- Composer
- GCP
- Python
- SQL
- Security
More
We are seeking a senior technical leader to help shape our data engineering strategy, architecture, and best practices across multiple product domains. You will work within a modern cloud environment and Data Mesh architecture to build scalable, secure, high‑performing data solutions, while mentoring engineers and influencing technical direction. This is an excellent opportunity to play a key role in the evolution of our modern cloud data platform and help shape the future of our data‑driven organisation.
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