Back to searchData Engineer – TV Advertising Data (FAST)
Datatech
Posted 10 hours ago, valid for 9 days
London, Greater London SW1A2DX, England
£75,000 - £85,000 per year
Full Time
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Location: London - 3 days onsite
Salary 75,000 - 85,000 Neg DOE
Reference : J13057
Note: Full and current UK working rights required for this role
We're currently seeking a Data Engineer to build the foundations behind the rapidly growing FAST (Free Ad Supports Streaming TV channels) A pioneering opportunity to be involved with direct to consumer advertising for a Global player in the field. Someone who is passionate about how data drives the industry and to help optimise campaigns, measure performance, and monetise content.
Key Responsibilities
Design, build, and maintain scalable ETL/ELT pipelines that transform raw data into reliable, analytics-ready datasets
Ingest, integrate, and manage new data sources across advertising, audience, platform, and content data within Fremantle's Microsoft Fabric environment
Deliver robust data flows that underpin global FAST dashboards, monetisation insights, and audience viewing metrics
Work closely with the central Data & Analytics team to enable high-quality Power BI reporting and analysis
Ensure strong data governance, integrity, and security across the Azure/Fabric ecosystem
Optimise data pipelines for performance, scalability, and efficiency, following best-practice engineering standards including version control and code reviews
Monitor pipeline health, data freshness, and quality, implementing proactive alerting and issue resolution
Translate business and analytical needs into well-structured data models and technical solutions
Automate data workflows to minimise manual processes and improve operational reliability
Maintain clear documentation of pipelines, datasets, and data flows to support collaboration and smooth handovers
Stay current with data engineering best practices, particularly within the Microsoft technology stack
Skills & Experience
5+ years' experience working as a Data Engineer or in a similar role
Proven experience with cloud-based data platforms (Azure, AWS, SQL, Snowflake, Springserv); Microsoft Fabric experience is a strong plus
Strong proficiency in Spark SQL and PySpark, including complex transformations
Experience building ETL/ELT pipelines using tools such as Azure Data Factory or equivalent
Ability to write efficient, reusable scripts for transformation, validation, and automation
Hands-on experience integrating data from APIs (REST, JSON), including automated data collection
Solid understanding of data modelling best practices for analytics and dashboards
Confidence working with large, complex datasets across multiple formats (CSV, JSON, Parquet, databases, APIs)
Strong problem-solving skills and the ability to diagnose and resolve data issues
Excellent communication skills and experience working with cross-functional teams
Genuine curiosity about how data drives content performance, audience behaviour, and monetisation
If this sounds like the role for you then please apply today!
