Senior Business Intelligence Data Engineer

Senior Business Intelligence Data Engineer

Department: Chief of Staff

Employment Type: Full Time

Location: UK (Home based)

The I&A function works with a centralised data warehouse built in Google Big Query, which serves as the single source of truth for business data across the organisation. The warehouse breaks down data silos, enables the development of automated, contextualised reports and ad‑hoc analyses, supporting improved data accessibility and communication of insights across the business.

The Data Engineer role is essential for building and maintaining robust data pipelines between source enterprise business systems and Big Query, and for data modelling. This includes designing and managing data transformation processes within Big Query to clean, join, and aggregate data into report‑ and analysis‑ready datasets.

Additionally, the Data Engineer will develop a deep understanding of the data models within our core enterprise systems, providing critical support for change management, system modifications, and integrations to ensure seamless data operations.

Please be aware that we may close this position early if we receive a high volume of applications, so we encourage you to apply promptly.

• Collaborate with cross‑functional teams to identify, collect, and validate data sources and analytics requirements
• Design, develop, implement and maintain data systems and ETL/ELT processes that support data processing, data integration, and data transformation. This includes the set up and management of Digital Science’s Fivetran instance, as well as developing and maintaining the code base in cloud functions/GBQ pipelines for API calls to non‑Fivetran supported data sources
• Develop and maintain data transformation and modelling processes using Dataform or dbt
• Implement and maintain best practices for data governance, data security, and data quality, alerting systems and CI/CD processes
• Play a central role in business system procurement and change management processes, to advise on the downstream impact for reporting and analytics of system modification, integration and implementation
• Stay current with industry trends and technologies to identify opportunities for innovation and improvement

• Experience as a Data Engineer or similar role working within a modern, cloud‑based environment
• Strong SQL development skills, including experience designing modular, maintainable data models and transformations
• Hands‑on experience with cloud data warehouses, preferably Google Big Query, including performance optimisation, cost management and working with large datasets
• Experience developing and maintaining ELT/ETL pipelines with tools such as Fivetran, Stitch, Airbyte or similar
• Practical experience with SQL‑based transformation frameworks such as Dataform or dbt, including managing pipelines as code and version control
• Good understanding of data modelling principles (e.g. dimensional modelling) and best practices for data quality, lineage tracking and governance
• Ability to design robust, testable and scalable data products and processes, with attention to reliability, documentation and long‑term maintenance
• Understanding of Dev Ops practices (CI/CD, Git workflows, environment management)
• Excellent communication skills, enabling effective collaboration with technical and non‑technical stakeholders

• Exposure to Google Cloud Platform (GCP) services beyond Big Query, such as Cloud Functions, Cloud Storage, Pub/Sub or Cloud Run
• Experience with data quality frameworks and automated monitoring, including alerting, anomaly detection, or testing frameworks
• Familiarity with data visualisation and BI tools, such as Looker, Looker Studio, Tableau or Power BI
• Knowledge of AI/machine learning concepts, and experience using tools such as Vertex AI, Big Query ML or similar

At Digital Science, we are committed to building and nurturing a workplace where every individual feels valued and belongs. All applicants will be considered for employment without attention to race, colour, religion, age, sex, sexual orientation, gender identity, national origin, veteran, or disability status. We strive to cultivate an environment where inclusivity is woven into the fabric of our culture, enabling everyone to be their best self and do their best work.