Data Platform Analytics Engineer

Data Platform Analytics Engineer

Location: London - Remote, with travel to London on rare occasions

Contract: 6 months initially, with possible extension

Start Date: 28 September 2026, or latest by the first week of October

Contract Type: Contract

The Opportunity

We are looking for two experienced Data Platform Analytics Engineers with strong data engineering expertise, particularly across dbt and Google BigQuery, to join a modern cloud data engineering team.

You will be responsible for designing, building and optimising scalable data solutions across the Google Cloud ecosystem, creating high-quality data models and pipelines that support business growth, analytics and regulatory requirements.

Key Responsibilities

• Design, build and optimise modern cloud-based data solutions using Google BigQuery, dbt and GCP.
• Develop large-scale data warehouses, data marts and robust data models.
• Build and maintain high-quality data pipelines aligned with engineering best practices.
• Develop and optimise complex SQL queries to ensure performance and scalability.
• Implement data quality, testing, observability and governance practices.
• Collaborate with cross-functional teams to deliver data products that support business and regulatory requirements.
• Contribute to CI/CD, version control and automated testing practices.

Essential Skills & Experience

• 8–12 years’ experience in Data Engineering or a closely related discipline.
• Strong hands-on experience with Google BigQuery.
• Experience with dbt Core and/or dbt Cloud.
• Proven experience building large-scale data warehouses and data marts.
• Strong SQL development and query optimisation skills.
• Experience with Python and/or SQL.
• Good understanding of Git/GitHub, CI/CD pipelines and automated testing.
• Experience working within Agile development environments.
• Strong understanding of data engineering best practices, data quality and data governance.

Desirable Experience

• Knowledge of the wider Google Cloud ecosystem, including:
• Cloud Storage
• Pub/Sub
• Dataflow
• Cloud Composer / Airflow
• Experience delivering data products within banking or financial services, particularly:
• Retail or Digital Banking
• Payments
• Lending or Savings
• Financial Crime / AML
• Fraud
• Regulatory Reporting
• Open Banking
• Understanding of Data Mesh and Data Product principles.
• Exposure to ML/MLOps workflows.
• Knowledge of metadata management tools and data governance frameworks.
• Experience with reporting and visualisation tools such as Looker, Power BI or Tableau.
• Understanding of high-volume streaming data.