Data Engineer – TV Advertising Data (FAST)

Data Engineer - TV Advertising Data (FAST)

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 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);
·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