Analytics Engineer
Posted 14 Oct 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 3+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
No salary listed for this role.
About us
The Financial Times is one of the world’s leading news organisations, globally recognised for its authority, integrity and accuracy, with a mission to deliver quality information and services worldwide.
At the FT, curiosity thrives and ambitious thinking is rewarded. Here, you’re given the chance to reach millions, create work that matters and deliver impartial journalism in a polarised world.
In our warm, collaborative culture, you’ll connect with a diverse community of experts who support your growth, career aspirations and wellbeing.
Your future at the FT will be filled with opportunities that challenge and inspire you. With no fixed path, you’ll discover new skills and forge a career that can take you anywhere.
Build a newsworthy career at the FT.
Our commitment to diversity, equity and inclusion
We believe in the power of unique perspectives and want all voices in our organisation to be heard, respected and valued. A supportive workplace is one where employees feel they can be themselves and operate to their full potential. We are committed to removing barriers for everyone, with a focus on addressing those faced by underrepresented groups.
The role
The Analytics Engineer is responsible for bridging the gap between data engineering and data analytics by maintaining and developing scalable data models and solutions that support finance, B2B, and B2C teams. The role plays a key part in delivering value through modern data stack technologies (including dbt), supporting cloud migration efforts, ensuring data quality, and maintaining the performance of analytical data pipelines.
Key responsibilities
- Collaborate with stakeholders across departments to design and implement robust data models and BI solutions.
- Build, test, and maintain data transformations using dbt (data build tool).
- Implement software engineering best practices for data, including version control, CI/CD, and automated testing.
- Deliver day-to-day support and project-related tasks for the data and BI infrastructure.
- Develop and maintain scalable, maintainable, and well-documented data pipelines.
- Identify and resolve issues across ETL/ELT processes and data pipelines.
Required skills and experience
Essential
- 3+ years of experience in Analytics Engineering, BI, or Data Engineering roles.
- Strong proficiency in SQL, including complex queries and performance tuning.