SmartChoice International Limited
Data Platform Analytics Engineer
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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.
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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.
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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.
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