Digital Science

4 weeks ago

Business Intelligence Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Senior BI Data Engineer responsible for building and maintaining robust data pipelines into a central BigQuery warehouse, designing data models, and enabling automated, contextual reports and analyses to support data-driven decision making across Digital Science.

Location: United Kingdom

Workplace: Remote

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•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 to support data processing, integration and transformation, including managing the Fivetran instance and pipelines for non-Fivetran sources.
•Develop and maintain data transformation and modelling processes using Dataform or dbt.
•Implement and maintain best practices for data governance, data security, data quality, alerting systems and CI/CD processes.
•Advise on downstream impact for reporting and analytics during system modifications and integrations; stay current with industry trends to identify opportunities for improvement.

Key Requirements

•Experience as a Data Engineer or similar role in a modern, cloud-based environment.
•Strong SQL development skills with modular, maintainable data models and transformations.
•Hands-on experience with cloud data warehouses, preferably Google BigQuery, including performance optimization and working with large datasets.
•Experience developing and maintaining ELT/ETL pipelines using tools like Fivetran, Stitch, Airbyte or similar.
•Practical experience with SQL-based transformation frameworks such as Dataform or dbt, including pipelines as code and version control.

Experience:Data engineeringCloudBigQueryETLData modeling

Skills:SQLBigQueryFivetranStitchAirbyteDbtDataformCI/CDGit

Tech Stack:Google BigQueryFivetranStitchAirbyteDataformDbtCloud FunctionsGCPLookerLooker StudioTableauPower BICI/CDGit

Company Brief

Digital Science

Digital Science provides software and AI-driven tools and services for the research ecosystem, supporting researchers, institutions, funders and publishers through products like Dimensions, Altmetric, Figshare, Overleaf and ReadCube.

Industry: Enterprise Software

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: London, United Kingdom

Founded: 2010

Glassdoor: 3.5

Website LinkedIn Glassdoor

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Digital Science

4 weeks ago

Business Intelligence Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: United Kingdom

Workplace: Remote

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•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 to support data processing, integration and transformation, including managing the Fivetran instance and pipelines for non-Fivetran sources.
•Develop and maintain data transformation and modelling processes using Dataform or dbt.
•Implement and maintain best practices for data governance, data security, data quality, alerting systems and CI/CD processes.
•Advise on downstream impact for reporting and analytics during system modifications and integrations; stay current with industry trends to identify opportunities for improvement.

Key Requirements

•Experience as a Data Engineer or similar role in a modern, cloud-based environment.
•Strong SQL development skills with modular, maintainable data models and transformations.
•Hands-on experience with cloud data warehouses, preferably Google BigQuery, including performance optimization and working with large datasets.
•Experience developing and maintaining ELT/ETL pipelines using tools like Fivetran, Stitch, Airbyte or similar.
•Practical experience with SQL-based transformation frameworks such as Dataform or dbt, including pipelines as code and version control.

Experience:Data engineeringCloudBigQueryETLData modeling

Skills:SQLBigQueryFivetranStitchAirbyteDbtDataformCI/CDGit

Tech Stack:Google BigQueryFivetranStitchAirbyteDataformDbtCloud FunctionsGCPLookerLooker StudioTableauPower BICI/CDGit

Company Brief

Digital Science

Industry: Enterprise Software

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: London, United Kingdom

Founded: 2010

Glassdoor: 3.5

Website LinkedIn Glassdoor