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- Tasks: Lead data product teams and drive improvements in data models and automation.
- Company: Dynamic tech company focused on building trustworthy data products.
- Benefits: Hybrid work model, flexible hours, and a full home working setup.
- Why this job: Shape the future of data products while leading talented engineers.
- Qualifications: Experience in engineering management and a strong technical background.
- Other info: Great career growth opportunities and a supportive team culture.
The predicted salary is between 36000 - 60000 £ per year.
Not every Engineering Manager role is about running sprints or firefighting delivery issues. This one is about building strong teams, setting clear technical direction, and helping a data platform mature in a way that is sustainable, consistent and genuinely useful to customers.
You will not be coding day to day, but this is not a hands off role either. It suits an Engineering Manager who is comfortable going deep on architecture, data models and trade offs, and who enjoys working closely with senior engineers and tech leads to get the best outcomes.
What you will be responsible for:
- You will lead engineering across a set of data product teams, with responsibility for both people and outcomes.
- Teams building and maintaining data feeds, datasets and client facing outputs.
- The evolution of shared data models and event schemas, making products more consistent and easier to extend.
- The automation and internal tooling that improves quality and efficiency, including testing, rules engines and AI assisted workflows.
- You will own direction and delivery across these areas, making sure teams are aligned, supported and focused on the right problems.
What you will be working on day to day:
- Own the roadmap and execution for data products spanning multiple domains such as apps, web, media, social and commerce.
- Lead teams responsible for schemas, datasets and reporting outputs used directly by customers.
- Drive improvements to data models and event structures, reducing complexity and inconsistency.
- Shape and prioritise work on automation and internal tools that reduce manual effort and raise quality.
- Partner closely with Product, Data Engineering and ML, Apps, QA and client facing teams.
- Hire, develop and support engineers and tech leads through one to ones, feedback and career development.
- Establish and improve engineering practices around observability, data quality, documentation, incident response and service levels.
This role has real scope, technically, organisationally and culturally.
Who this role suits:
- This role is a strong fit if you enjoy leading engineers, not just managing work.
- Have a solid technical background and like being able to challenge designs and assumptions.
- Care about building well modelled, trustworthy data products.
- Are comfortable balancing delivery, quality and long term platform health.
- Like working cross functionally and navigating real world constraints.
You will likely bring:
- Proven experience as an Engineering Manager or Tech Lead Manager in a data, platform or backend environment.
- A background in data or backend engineering, such as AWS, Python or Scala, Spark, Airflow or similar.
- Experience owning or supporting analytics, data or reporting products.
- Strong people leadership skills including hiring, coaching and performance management.
- A track record of delivering complex, cross functional initiatives.
Nice to have:
- Experience with automation or test tooling.
- Familiarity with data privacy and governance, such as GDPR or consented data.
How you will work:
- Hybrid role, Manchester based.
- Two days per week in the office, the rest flexible.
- Flexible start and finish times.
- Full home working setup provided.
Data Engineering Manager in Bolton employer: Circle Group
Contact Detail:
Circle Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager in Bolton
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Get involved in relevant communities! Join online forums, attend meetups, or participate in webinars related to data engineering. This not only helps you learn but also puts you in touch with potential employers and like-minded professionals.
✨Tip Number 3
Showcase your expertise! Create a portfolio or a blog where you can share insights about data models, architecture, or any projects you've worked on. This will demonstrate your knowledge and passion to potential employers.
✨Tip Number 4
Apply through our website! We’ve got some fantastic roles waiting for you, and applying directly can give you an edge. Plus, it shows you’re genuinely interested in being part of our team!
We think you need these skills to ace Data Engineering Manager in Bolton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Engineering Manager role. Highlight your leadership experience, technical background, and any relevant projects you've worked on. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your experience aligns with our goals at StudySmarter. Be genuine and let your personality come through – we love to see enthusiasm!
Showcase Your Technical Skills: While you won't be coding daily, it's important to demonstrate your technical expertise in areas like AWS, Python, or data modelling. Include specific examples of how you've tackled complex problems or improved processes in your previous roles.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Circle Group
✨Know Your Data Inside Out
Make sure you have a solid understanding of data models, schemas, and the technical stack mentioned in the job description. Be prepared to discuss how you've previously tackled complex data challenges and how you can apply that experience to help the company’s data platform mature.
✨Showcase Your Leadership Style
This role is all about leading teams, so be ready to share your approach to people management. Discuss specific examples of how you've supported engineers in their career development and how you foster a collaborative environment. Highlight your ability to balance delivery with quality.
✨Prepare for Technical Discussions
Even though you won't be coding daily, you should still be comfortable discussing architecture and trade-offs. Brush up on relevant technologies like AWS, Python, and any automation tools you've used. Be ready to dive deep into technical conversations with senior engineers.
✨Align with Company Values
Research the company culture and values, and think about how your own values align with them. Be prepared to discuss how you can contribute to a positive team environment and improve engineering practices around observability and data quality.
