Senior Business Intelligence Data Engineer

Digital Science

Senior Business Intelligence Data Engineer at Digital Science developing and maintaining robust data pipelines. Collaborating with teams to ensure seamless data operations and insights utilization.

Posted 6/24/2026full-timeRemote • 🇬🇧 United KingdomSeniorWebsite

Tech Stack

Tools & technologies

BigQueryCloudETLGoogle Cloud PlatformSQLTableau

About the role

Key responsibilities & impact

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 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

Requirements

What you’ll need

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 BigQuery, 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 DevOps 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 BigQuery, such as Cloud Functions, Cloud Storage, Pub/Sub or Cloud Run. (Desirable Experience)
Experience with data quality frameworks and automated monitoring, including alerting, anomaly detection, or testing frameworks. (Desirable Experience)
Familiarity with data visualisation and BI tools, such as Looker, Looker Studio, Tableau or Power BI. (Desirable Experience)
Knowledge of AI/machine learning concepts, and experience using tools such as Vertex AI, BigQuery ML or similar. (Desirable Experience)

Benefits

Comp & perks

We invest in, nurture and support innovative businesses and technologies that make all parts of the research process more open, efficient and effective.
The talent we secure is fundamental to us achieving our vision and our growth plans.
We are brave in the pursuit of better.
We are collaborative and inclusive.
We are always open-minded.
We are from and for the community.
As an equal opportunity employer, 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.
Beyond recruitment, 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.

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Hard Skills & Tools

SQLdata modelingETLELTdata transformationdata governancedata qualityDevOpsCI/CDdata pipelines

Soft Skills

communicationcollaborationattention to detailproblem-solvingadaptability