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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 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
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 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 London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data engineering. You never know who might have a lead on your dream job!
✨Show Off Your Skills
Create a portfolio showcasing your projects and skills. Whether it's GitHub repos or a personal website, let your work speak for itself. This is your chance to shine and show potential employers what you can do!
✨Ace the Interview
Prepare for technical interviews by brushing up on your ETL/ELT pipeline knowledge and data modelling best practices. Practice common interview questions and be ready to discuss how you've tackled challenges in past roles.
✨Apply Through Us!
Don't forget to apply through our website! We’re always on the lookout for passionate data engineers like you. Plus, it gives us a chance to see your application first-hand and get you in front of the right people.
We think you need these skills to ace Data Engineer - TV Advertising Data (FAST) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Engineer. Highlight your experience with ETL/ELT pipelines and cloud platforms like Azure, as these are key for us. Don’t just list your skills; show how they relate to the job description!
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 specific projects or experiences that align with our needs in TV advertising data. Let us see your personality!
Showcase Relevant Projects: If you’ve worked on any projects that involved data integration or building scalable data pipelines, make sure to mention them. We love seeing real-world applications of your skills, especially if they relate to audience metrics or monetisation.
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. Plus, it shows you’re keen on joining our team at StudySmarter!
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 and cloud platforms like Azure. 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 and the outcomes.
✨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 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, to demonstrate your teamwork skills.
