At a Glance
- Tasks: Build and maintain cloud-based data solutions to drive marketing effectiveness.
- Company: Leading independent media agency known for innovation and creativity.
- Benefits: Competitive salary, bonus, extensive benefits, and hybrid work model.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Join a dynamic team shaping the future of marketing intelligence with AI.
- Qualifications: Experience in data engineering, strong SQL and Python skills required.
The predicted salary is between 50000 - 65000 £ per year.
Salary: Competitive + Bonus + Extensive Benefits
Location: London (Hybrid – 4 days office, 1 day WFH)
Our client is one of the UK’s leading independent media agencies, known for combining data, technology and creativity to deliver exceptional results for a diverse portfolio of household-name brands. As they continue to invest in data transformation and AI-powered solutions, they are looking for a Data Engineer to help shape the future of marketing intelligence.
The Opportunity
- Join an award-winning Insight, Analytics and Data team at the forefront of media innovation.
- Work on cutting-edge cloud-based data solutions that power marketing effectiveness and business growth.
- Play a key role in AI, automation and data transformation projects.
- Collaborate with specialists across analytics, media, technology and strategy.
- Help clients unlock the full value of their first-party and marketing data.
- Influence the development of scalable data products and future-facing solutions.
Responsibilities
- Build and maintain cloud-based data solutions and ELT pipelines.
- Integrate data from marketing platforms, CRM systems and third-party technologies.
- Develop robust datasets that support reporting, activation and business decision-making.
- Manage stakeholder relationships and coordinate complex data integration projects.
- Ensure data quality, accuracy and governance across multiple sources.
- Support the creation of advanced visualisation and reporting solutions.
Your Profile
- Experience in a Data Engineer, Analytics Engineer or similar technical role.
- Strong SQL and Python skills.
- Hands-on experience with Google BigQuery and cloud platforms.
- Experience integrating Salesforce CRM and marketing data.
- Understanding of marketing, media, martech and performance measurement.
- Strong project management, communication and problem-solving abilities.
How to apply
To apply for this outstanding opportunity, please contact Ellie Drury at Pivotal for a confidential discussion.
Pivotal is an equal opportunities employer and we encourage applications regardless of ethnic origin, race, religious beliefs, age, disability, gender or sexual orientation, and any other protected status as required by applicable law.
Data Engineer in Slough employer: Pivotal London
Join one of the UK’s leading independent media agencies, where innovation meets collaboration in a vibrant London setting. With a strong focus on employee growth and a hybrid work model, you will thrive in a culture that values creativity and data-driven solutions. Enjoy competitive salaries, extensive benefits, and the opportunity to work on cutting-edge projects that shape the future of marketing intelligence.
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We think this is how you could land Data Engineer in Slough
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We think you need these skills to ace Data Engineer in Slough
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
