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For Companies At a Glance
- Tasks: Design 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: Be at the forefront of data-driven advertising and make a real impact.
- 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 60000 - 84000 £ 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 are 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
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!
Data Engineer - TV Advertising Data (FAST) in City of London employer: Datatech
Contact Detail:
Datatech 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've tackled challenges—this will help you shine during those crucial conversations.
✨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. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've built scalable data solutions or worked with large datasets. This gives us a clear picture of your hands-on experience and problem-solving skills.
Craft a Compelling Cover Letter: Your cover letter should reflect your passion for data and how it drives the industry. Tell us why you're excited about this role and how you can contribute to our team at Fremantle.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Don’t miss out!
How to prepare for a job interview at Datatech
✨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 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 benefits. If you have experience with it, highlight that; if not, do some research to show your enthusiasm for learning.
✨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.
