Senior Business Intelligence Data Engineer

Role Overview

• 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

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.

Tech Stack

• BigQuery
• Cloud
• ETL
• Google Cloud Platform
• SQL
• Tableau

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.