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 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!