Advancing the research ecosystem. Together, we make open, collaborative and inclusive research possible.
Senior Business Intelligence Data Engineer
Location
United Kingdom
Posted
2 days ago
Salary
0
Seniority
Senior
Job Description
Senior Business Intelligence Data Engineer
Digital Science
• 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
Job Requirements
- Essential Experience & Skills
- 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
- Practical experience with SQL-based transformation frameworks such as Dataform or dbt, including managing pipelines as code and version control.
- Understanding of DevOps practices (CI/CD, Git workflows, environment management).
- 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.
- 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
- Desirable Experience
- Exposure to Google Cloud Platform (GCP) services beyond BigQuery, 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, BigQuery ML or similar.
- Don't worry if you don't meet every qualification—let us be the judge! Studies show that many qualified candidates from under-represented groups hesitate to apply unless they meet every single requirement. We are dedicated to building a diverse and inclusive team and strongly encourage you to submit your application.
Benefits
- 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. The values we live by are:
- 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
- At Digital Science, our vision is to see research flow seamlessly – trusted, collaborative, and accessible – fueling breakthroughs that push humanity forward. This ambitious mission is one we achieve together, by enabling open, collaborative, inclusive research.
- We firmly believe that to truly innovate and solve the complex challenges faced by our customers, from researchers and universities to funders and publishers, we need diverse perspectives, experiences, and ideas. A rich mix of voices drives quality insights, fosters enhanced collaboration, and ultimately pushes knowledge forward more effectively.
- 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.
Related Guides
Related Categories
Related Job Pages
More Business Intelligence Developer Jobs
• Design and build operational dashboards (Looker Studio / G-Suite ecosystem) • Structure data sources for reporting (Sheets models, imports, transformations) • Create lightweight automations using AppScript, Google Workspace integrations, Zapier, and similar tools • Support integrations between tools (HubSpot, Atlassian, Slack, Google Workspace; nice to have: Productive) • Prepare clear documentation to hand over solutions to internal teams • Ensure high standards of data security, access control, and compliance • Provide technical consultation on best practices in data architecture and BI tooling
• Connect BI and Data areas with international offices • Translate business needs from different countries into structured visual and analytical solutions • Work in direct collaboration with teams of different nationalities • Use technical expertise in data visualization and strong communication skills to identify process optimization opportunities • Standardize metrics and improve the efficiency of commercial operations • Serve as the focal point for international offices on data-related matters • Lead scoping meetings (in English) to map local processes • Understand the user journey and translate complex business needs into technical specifications • Develop and maintain executive and operational dashboards and reports in Power BI • Structure report distribution in accordance with the company's governance and security rules • Conduct delivery presentations and training sessions for teams across the globe
• Develop, maintain, and optimize dashboards and reports in Power BI. • Structure and model data using Power Query and DAX. • Perform integrations with multiple sources (SQL Server, Oracle, APIs, Excel, Azure, etc.). • Ensure data and report governance, security, and standardization. • Collaborate with business areas to gather requirements and define KPIs. • Support the definition of data architecture and BI best practices. • Conduct training and knowledge transfer for user teams. • Provide technical leadership for BI initiatives and mentor junior teams.
Senior Growth, BI Analyst
Globaldev GroupBuilding remote teams and providing software development solutions for tech businesses 🇺🇸🇮🇱🇩🇪🇺🇦🇵🇹🇵🇱
• Data Analysis & Reporting: Extract, clean, and analyze performance data across the product. Identify trends, winning variants, and underperforming segments by yield, RPM, and engagement, and report findings clearly to stakeholders. • Test Design & Tracking: Design statistically sound A/B tests, track them end to end, and drive each to a clear, data-backed verdict. (Test deployment on-platform is straightforward and fully supported — no engineering required.) • Feed & Segment Optimization: Diagnose underperforming segments, root-cause the drivers from the data, and recommend optimizations validated against test results. • Competitor Intelligence: Use spy tools and manual research to study competitor landers, funnels, and structures, and translate observations into testable hypotheses. (Training provided.) • Monitoring & Anomaly Detection: Build and maintain dashboards and automated monitors over live activity; investigate performance anomalies and irregularities in the data. • Traffic & Behavior Analysis: Analyze traffic patterns and user behavior to flag bots, synthetic sessions, or irregular activity that could affect performance or compliance. Compliance Awareness: Help keep creatives, landers, and feeds aligned with Google AdSense policies, escalating compliance risks early. (Policy guidance provided.)
