Senior Data Engineer | Tech | London, UK
New Yesterday
Senior Data Engineer | Tech | London, UK
Join to apply for the Senior Data Engineer | Tech | London, UK role at Savanta.
This role is based in our London office, with the expectation to be onsite 1-2 days a week.
About the Role
As a Senior Data Engineer, you’ll lead the design and delivery of secure, scalable data solutions. Working across multi-disciplinary teams to build robust pipelines, support AI initiatives, and ensure data governance compliance. This is a hands-on leadership role with a strong focus on mentoring, innovation, and stakeholder engagement.
Key Responsibilities
- Architect and implement modern data pipelines and engineering practices.
- Collaborate with analysts and AI teams to deliver high-quality, usable data.
- Champion best practices and performance optimization.
- Mentor juniors and support their career development.
- Promote innovation and continuous improvement across the business.
About You
You thrive in a dynamic, forward-thinking environment where data is central to innovation and decision-making. Not just a coder — you understand how data engineering fits into the bigger picture. Designing scalable solutions that support business goals, and comfortable influencing decisions through data-driven insights.
You enjoy mentoring others and building strong relationships across teams. Able to explain complex technical concepts to non-technical stakeholders and help them make informed decisions.
Excited by new technologies and trends in data engineering. Actively seeking opportunities to improve systems and processes, and not afraid to step outside your comfort zone to learn and apply new skills.
Qualifications
- Cloud Data Engineering: Proven experience building pipelines on platforms like Azure or Snowflake. Experience with a wide variety of data structures (data warehouses, data lakes) to service business data needs.
- Programming: Strong proficiency in SQL and Python.
- Agile & DevOps: Experience with CI/CD, automation, and agile delivery environments.
- Collaboration: Skilled in managing team dynamics and communicating with diverse stakeholders.
- Problem Solving: Deep understanding of data structures, common problems and resolution techniques.
- Innovation: Ability to identify opportunities for improvement and drive change.
- Learning Mindset: Passion for staying current with data engineering trends and applying new knowledge.
- Experience with data visualization tools and/or implementing machine learning models at scale.
Benefits & Perks
- Unlimited annual leave
- Health & wellbeing package (Private medical insurance or tailored well-being benefits)
- Team & Company Socials
- Committees for Health & Well Being, Charities & Volunteering and DE&I
Why Join Us
With offices in the US, Canada, India and the UK, Savanta offers the benefits of scale, whilst our specialists with deep expertise and nimble teams make life at Savanta feel like working at a boutique agency. Our client portfolio includes some of the world’s most recognizable brands. We are part of the Next 15 Communications Group, with an entrepreneurial and inclusive culture and extensive training programs.
Savanta is committed to being an equal opportunities employer and continuously strives to be an employer of choice. Our people are our greatest asset — we value workplace diversity and inclusion, oppose all forms of unlawful discrimination, and welcome applications from suitably qualified candidates of all backgrounds.
All candidates will be considered equally; however, we are unable to offer visa sponsorship.
Note
As we are looking for information specific to you, we may use AI tools as part of the review process. If your answers match to a high extent, that may be factored into the review.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
- Industries: Market Research
For more information about this role or to apply, please refer to the full job description above.
- Location:
- London
- Job Type:
- FullTime
- Category:
- IT & Technology
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