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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 Warrington employer: Circle Group
Contact Detail:
Circle Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager in Warrington
✨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
Prepare for those interviews by brushing up on your technical knowledge and leadership skills. Be ready to discuss how you've led teams and tackled complex projects, as this role is all about guiding others and making impactful decisions.
✨Tip Number 3
Showcase your passion for data products! When you get the chance to chat with potential employers, share your thoughts on current trends in data engineering and how you envision improving data models and automation in their organisation.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineering Manager in Warrington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Engineering Manager. Highlight your experience in leading teams, managing data products, and any relevant technical skills like Python or AWS. We want to see how you fit into our vision!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about building strong teams and improving data platforms. Share specific examples of your leadership style and how you've tackled challenges in the past.
Showcase Your Technical Acumen: Even though this role isn't hands-on coding every day, we still want to know about your technical background. Mention any relevant projects or experiences that demonstrate your understanding of data architecture and models. This will help us see your depth of knowledge!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates. Plus, it shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Circle Group
✨Know Your Data Inside Out
Make sure you’re well-versed in data models, schemas, and the specific technologies mentioned in the job description, like AWS and Python. Prepare 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. Think of examples where you’ve successfully coached engineers or navigated team dynamics. Highlight how you balance delivery with quality and long-term health of the platform.
✨Prepare for Technical Discussions
Even though you won’t be coding daily, you’ll need to dive deep into architecture and trade-offs. Brush up on relevant technical concepts and be prepared to discuss how you would challenge designs and assumptions. This shows you’re not just a manager but a technical leader.
✨Understand Cross-Functional Collaboration
Since this role involves working closely with various teams, think about your past experiences collaborating with product, QA, and client-facing teams. Be ready to discuss how you’ve prioritised work across different domains and ensured alignment among diverse stakeholders.
