Senior Analytics Engineer
Locations:
london, London, United Kingdom
Type:
Contract
Published:
May 21, 2026
Contact:
Ike Feehi
Ref:
20679
Required Skills:
Python,MySQLShare this job
Apply
Senior Analytics Engineer
Our client is a fast-growing international media business operating across multiple content platforms and markets. Data sits at the heart of everything they do from understanding how audiences engage with their content to how they monetise and grow their platform. They are looking for a Senior Analytics Engineer to help build the data foundation that powers those decisions.
About the role
This is a hands on engineering role with real influence. The successful candidate will work closely with data scientists, analysts, and business stakeholders across the media platform to design, build, and maintain high-quality data models that power everything from content performance reporting to audience insights. You will also play a key role in simplifying and modernising the BI layer making data more accessible, more reliable, and less reliant on manual intervention.
The role comes with the autonomy to make meaningful technical decisions and the opportunity to shape the team's roadmap. If you are the kind of engineer who takes pride in clean, performant data models and cares about the downstream impact of the work you ship, this role was built for you.
What you will be doing
Design, scope, and build data models across content, audience, and commercial domains, working closely with data engineers and business stakeholders to understand requirements and deliver scalable solutions
Simplify and modernise the BI layer by standardising definitions into the core data stack, reducing complexity and manual overhead
Refactor existing reporting models into clean, performant upstream data models that are easier to maintain and build on
Support data scientists in building and validating data models, ensuring the data they work with is accurate, well-documented, and ready to use
Build and maintain CI/CD pipelines using modern tooling to ensure reliable, automated deployment of data assets
Act as a bridge between technical teams and business users, translating complex data requirements into clear solutions and explaining technical concepts to non-technical stakeholders
Requirements
Our client is a fast-growing international media business operating across multiple content platforms and markets. Data sits at the heart of everything they do from understanding how audiences engage with their content to how they monetise and grow their platform. They are looking for a Senior Analytics Engineer to help build the data foundation that powers those decisions.
About the role
This is a hands on engineering role with real influence. The successful candidate will work closely with data scientists, analysts, and business stakeholders across the media platform to design, build, and maintain high-quality data models that power everything from content performance reporting to audience insights. You will also play a key role in simplifying and modernising the BI layer making data more accessible, more reliable, and less reliant on manual intervention.
The role comes with the autonomy to make meaningful technical decisions and the opportunity to shape the team's roadmap. If you are the kind of engineer who takes pride in clean, performant data models and cares about the downstream impact of the work you ship, this role was built for you.
What you will be doing
Design, scope, and build data models across content, audience, and commercial domains, working closely with data engineers and business stakeholders to understand requirements and deliver scalable solutions
Simplify and modernise the BI layer by standardising definitions into the core data stack, reducing complexity and manual overhead
Refactor existing reporting models into clean, performant upstream data models that are easier to maintain and build on
Support data scientists in building and validating data models, ensuring the data they work with is accurate, well-documented, and ready to use
Build and maintain CI/CD pipelines using modern tooling to ensure reliable, automated deployment of data assets
Act as a bridge between technical teams and business users, translating complex data requirements into clear solutions and explaining technical concepts to non-technical stakeholders
Requirements
- Strong SQL and Python skills with hands-on experience across platforms such as dbt, Airflow, Databricks, or Looker
- Solid understanding of analytics engineering and data engineering best practices including data warehousing, data modelling, performance optimisation, observability, and governance
- Experience using BI tools in a platform engineering capacity as well as providing frontline support to business users
- Experience working with large-scale operational data across multiple business functions in a fast-moving environment
- Strong commercial instincts and familiarity with media and content metrics such as audience retention, subscriber growth, content monetisation, and platform engagement
- Excellent communication skills with the ability to reduce ambiguity, explain complex topics clearly, and deliver incrementally in a fast-moving environment
- Able to work autonomously, take ownership of features, and contribute meaningfully to the team's technical roadmap
Protect yourself from recruitment scams
All official Signify Technology emails end with @signify-tech.com. If you're unsure, check our Meet the Team page and verify any unsolicited payment requests by contacting info@signify-tech.com.