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- Tasks: Build and maintain scalable data pipelines for TV advertising insights.
- Company: Join a global leader in the FAST streaming industry.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make an impact on how data drives advertising and audience engagement.
- Qualifications: 5+ years as a Data Engineer with cloud platform experience.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
The predicted salary is between 75000 - 85000 £ per year.
Location: London – 3 days onsite
Salary £75,000 - £85,000 Neg DOE
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 Supported 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
- 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!
Data Engineer - TV Advertising Data (FAST) in City of London employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - TV Advertising Data (FAST) in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can sometimes lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data engineering projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practise explaining your past projects and how you tackled challenges – it’s all about demonstrating your problem-solving skills!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer - TV Advertising Data (FAST) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with ETL/ELT pipelines and cloud platforms like Azure, as these are key for us. Use specific examples that showcase your skills in data transformation and integration.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data and how it drives the industry. Mention any relevant projects or experiences that align with our needs, especially around audience metrics and monetisation insights.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills! We want to see your proficiency in Spark SQL, PySpark, and any experience with Microsoft Fabric. Include any relevant certifications or courses that demonstrate your commitment to staying current in the field.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application goes directly to us. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at Datatech Analytics
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals, especially around ETL/ELT processes. Be ready to discuss your experience with tools like Azure Data Factory and how you've built scalable data pipelines in the past.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data issues. Think about times when you had to diagnose problems or optimise data flows, and be ready to explain your thought process.
✨Familiarise Yourself with Microsoft Fabric
Since this role involves working within the Microsoft Fabric environment, it’s crucial to understand its features and capabilities. If you have experience with it, highlight that; if not, do some research to show your enthusiasm and willingness to learn.
✨Communicate Clearly and Collaboratively
As you'll be working with cross-functional teams, practice articulating your ideas clearly. Prepare to discuss how you've collaborated with others in the past, particularly in relation to data governance and reporting.
