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- Tasks: Lead and scale data engineering services, delivering innovative data solutions for clients.
- Company: Join Loop Horizon, a boutique consultancy transforming brands with data-driven strategies.
- Benefits: Competitive salary, 25 days holiday, private healthcare, and flexible working options.
- Why this job: Shape the future of data engineering while making a real impact on client success.
- Qualifications: Proven experience in data engineering and strong leadership skills required.
- Other info: Dynamic team culture with opportunities for growth and regular social events.
The predicted salary is between 36000 - 60000 £ per year.
Location: London / UK - Hybrid
Job Type: Full-Time
Company: Loop Horizon
Salary: Competitive, based on experience
About Loop Horizon
Loop Horizon is a boutique marketing, data, and technology consultancy helping world-leading brands transition to a truly data-driven future. Our team is predominantly ex-client side, which means we understand the realities our clients face - from legacy platforms and organisational constraints to regulatory pressure and skills gaps. We focus on outcome-based delivery, enabling clients with sustainable data and technology capability while supporting their teams through strategy, design, delivery, and new ways of working.
Due to continued growth and increasing client demand for senior data engineering expertise, we are looking for a Data Engineering Manager to build, lead, and scale our data engineering capability.
Role Overview:
As a Data Engineering Manager, you will play a pivotal role in shaping and delivering Loop Horizon's data engineering services. This is a hands-on leadership role combining technical delivery, team building, and client engagement. You will be responsible for:
- Owning end-to-end technical delivery of data products - from discovery and design through to build & release
- Building a high-performing data engineering capability within the organisation
- Acting as a trusted technical partner to clients, owning delivery quality and relationships
- Supporting the growth of our core service lines
Key Responsibilities:
Technical Leadership & Delivery- Lead the design and implementation of scalable, secure data pipelines (batch and near-real-time)
- Architect and deliver data models for marketing, customer analytics, and digital behavioural use cases (e.g. SCV, attribution, journey analysis)
- Define and enforce best practices across data architecture, modelling, testing, deployment, and documentation
- Oversee data quality, observability, lineage, and governance to ensure trusted analytics outputs
- Act as a hands-on senior engineer on complex client engagements where needed
- Build and scale Loop Horizon's data engineering capability, including ways of working, delivery standards, and reusable assets
- Line manage and mentor data engineers, supporting technical growth and career development
- Identify skills gaps and support hiring, onboarding, and upskilling of new team members
- Foster a collaborative, high-quality engineering culture aligned to consultancy delivery
- Act as the senior data engineering point of contact for clients
- Translate client business objectives into pragmatic, scalable technical solutions
- Partner closely with Analytics, MarTech, and Strategy leads to deliver integrated solutions
- Support pre-sales activity including solution design, estimates, and technical credibility in pitches
- Build long-term, trusted client relationships through high-quality delivery and clear communication
- Provide SME support for ongoing data platform operations and optimisation
- Lead data platform build or migration projects in collaboration with selected technology partners
- Ensure partner solutions align with Loop Horizon standards and client needs
Skills and Qualifications:
Essential- Proven experience as a Senior Data Engineer, Data Engineering Lead, or Data Engineering Manager
- Strong hands-on experience designing and building scalable data pipelines and analytics-ready datasets
- Deep understanding of data modelling for analytics and marketing use cases
- Experience working with marketing, digital, or customer data
- Experience with cloud data platforms (AWS, Azure, or GCP) and modern data stacks (e.g. Databricks, BigQuery, Snowflake)
- Experience implementing data quality, governance, and monitoring frameworks
- Experience with workflow orchestration and scheduling tools (e.g., Airflow, AWS Step Functions)
- Strong stakeholder management and client-facing experience
- Ability to balance hands-on delivery with leadership and strategic thinking
- Consultancy or agency experience
- Exposure to privacy, consent, and regulatory considerations (e.g. GDPR)
- Experience working with partners and third-party vendors
Our Commitment to You:
- Competitive salary
- 25 days holiday, plus an additional 3 days leave between Christmas and New Year
- Pension scheme and life assurance
- Private Healthcare for you (and your spouse/children at extra cost)
- Flexible benefits scheme including electric car leasing scheme, cycle to work, gym discounts, discounted vouchers
- Shares in company after one years' service
- Hybrid working - we believe in a balance between spending time face-to-face with colleagues and our clients, as well as enabling working from home
- Excellent opportunities to grow and develop
- Vibrant, friendly, dynamic team with calendar of regular social activities and team events
*We are unable to provide sponsorship, therefore only applicants with the right to work in the UK will be accepted
Data Engineering Manager in London employer: LOOP HORIZON
Contact Detail:
LOOP HORIZON Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the data engineering field. Attend meetups, webinars, or industry events to meet potential employers and learn about job openings that might not be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects and achievements in data engineering. This can be a game-changer during interviews, as it gives you a chance to demonstrate your hands-on experience and problem-solving abilities.
✨Tip Number 3
Prepare for those interviews! Research Loop Horizon and understand their approach to data-driven solutions. Be ready to discuss how your experience aligns with their needs, especially around building scalable data pipelines and client engagement.
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining our team. It shows initiative and enthusiasm, which we value highly at Loop Horizon.
We think you need these skills to ace Data Engineering Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineering Manager role. Highlight your experience with data pipelines, team leadership, and client engagement. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data engineering and how you can contribute to Loop Horizon. Be sure to mention any relevant consultancy experience or projects.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical expertise! Include specific examples of data models you've designed or data platforms you've worked with. We love seeing hands-on experience that matches our needs.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at LOOP HORIZON
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data engineering, especially around scalable data pipelines and analytics-ready datasets. Brush up on your experience with cloud platforms like AWS, Azure, or GCP, as well as tools like Databricks or Snowflake. Being able to discuss your hands-on experience confidently will impress the interviewers.
✨Showcase Your Leadership Skills
As a Data Engineering Manager, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've built high-performing teams in the past, and be ready to discuss your approach to fostering a collaborative engineering culture. Highlight any experience you have in managing client relationships and delivering quality outcomes.
✨Understand the Client's Needs
Loop Horizon focuses on outcome-based delivery, so it’s crucial to show that you can translate client business objectives into technical solutions. Research their clients and think about how your skills can help solve their specific challenges. Be prepared to discuss how you would approach building long-term, trusted relationships with clients.
✨Prepare for Technical Questions
Expect to face technical questions that assess your knowledge of data modelling, governance, and quality frameworks. Brush up on best practices in data architecture and be ready to discuss how you’ve implemented these in previous roles. Practising common technical scenarios can help you articulate your thought process during the interview.