Senior Business Intelligence Data Engineer

2 days ago

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Digital Science

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Science • Education • Enterprise

Digital Science is a company dedicated to enhancing the research lifecycle through innovative technology solutions. They aim to make research processes more efficient, data more effective, and collaboration more seamless, thus driving progress in academic and industry settings. Their product portfolio includes services such as Altmetric, Dimensions, Figshare, Overleaf, and more, which support various research stages from data management to publication. They focus on advancing open and responsible research while maintaining partnerships across academic, governmental, and industrial sectors. Digital Science actively contributes to the evolution of open access and research integrity standards.

501 - 1000 employees

Founded 2015

🔬 Science

📚 Education

🏢 Enterprise

📋 Description

• 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. • 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

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

🏖️ 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. • 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.