Salary: £44,000 – 84,000 per year
Requirements
- We have a proven track record in Data Engineering, ideally in a Lead or Principal Engineer role.
- We have experience working with cloud data platforms, particularly Google Cloud Platform.
- We have a strong understanding of Data Mesh principles; direct experience is beneficial.
- We have technical mentoring and coaching skills.
- We have extensive experience with Data Lake and Data Warehouse solutions.
- We have strong proficiency in SQL and Python.
- We have in‑depth knowledge of query optimisation techniques and tuning complex queries.
- We have strong understanding of data governance, including data dictionaries, MDM, lineage, data legislation, and PII handling.
- We have excellent communication skills and can work collaboratively with cross‑functional teams.
- We have experience working in Agile, Scrum, and SDLC environments.
- We have hands‑on experience with GCP tools such as BigQuery, DataFlow, Data Fusion, DataStream, Cloud Functions, DataProc, and Airflow/Composer.
- We have a strong understanding of distributed systems, cloud platforms, and modern data stacks.
- We have experience leading complex data solutions through design, build, and deployment.
- We have experience driving the implementation and adoption of CI/CD.
- We are self‑motivated, with strong leadership qualities and the ability to drive innovation.
- We can formulate plans to deliver a target state and work closely with managers and engineers to deliver that vision.
Responsibilities
- We provide technical leadership across product domains.
- We define architecture and design for our data platform and data mesh.
- We mentor and build the capability of our data engineering team.
- We enable cross-domain interoperability.
- We support governance and compliance enablement.
- We contribute innovation and strategic influence.
- We ensure our data processes on the platform are robust, performant, and compliant.
- We oversee data ingestion, data quality and integrity, transformation, security, encryption, batch management, monitoring, alerting, and cost control.
- We help design and build our Data Mesh, including data modelling and processing from raw through semantic layers.
- We identify opportunities for automation and process improvement.
- We coach and mentor data engineers.
- We set coding standards and best practices.
- We implement and document data integrity and quality checks.
- We optimise queries.
- We facilitate data engineering collaboration across the team.
- We work closely with our Principal Data Platform Engineer and Data Domain Architect to ensure our platform and pipeline design is optimised and reliable.
- We document our approach and explain solutions to both engineers and non‑technical business users.
- We participate in the full development lifecycle of data products.
- We direct the work of other data engineers in the design, build, and deployment of complex data solutions.
Technologies
- Airflow
- Architect
- BigQuery
- CI/CD
- Cloud
- Composer
- Data Warehouse
- GCP
- Support
- Python
- SQL
- Security
- DDD
- Flow
More
We are Places for People, the UKs leading social enterprise, and we hire people, not numbers. We are committed to building inclusive, thriving communities for our customers and employees, and we value people who do the right thing, are enthusiastic, motivated to grow, believe in community spirit, are respectful, and enjoy their work. Our Data and Platform Engineering team forms the foundation of our Data Office function, designing, building, and maintaining our data platform as we continue our transition from on‑premise to Google Cloud and develop a leading‑edge Data Mesh platform. This is an exciting time to join a growing business function where you can make your mark on the architecture of our platform and the development of our data engineering capability. We offer a competitive salary with yearly reviews, pension matched up to 7%, 35 days annual leave with buy/sell options, healthcare cashback up to £500 per year, a 2% bonus scheme, training and development, and a range of discounts and perks. We also support flexible working options and a supportive, accessible recruitment process, including reasonable adjustments and guaranteed interviews for eligible candidates.
last updated 25 week of 2026
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