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For Companies At a Glance
- Tasks: Lead engineering teams to build and maintain impactful data products.
- Company: Dynamic tech company focused on innovative data solutions.
- 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.
Locations
Engineering Manager - Data Products Technical Manager in Cheshire, Warrington employer: Circle Group
Contact Detail:
Circle Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager - Data Products Technical Manager in Cheshire, Warrington
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in data or engineering roles. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your leadership skills! When you get the chance to meet potential employers, share examples of how you've successfully led teams and tackled complex projects. This will help them see you as the Engineering Manager they need.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge, especially around data models and architecture. Be ready to discuss how you would improve data products and lead teams effectively.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Engineering Manager - Data Products Technical Manager in Cheshire, Warrington
Some tips for your application 🫡
Show Your Leadership Skills: When writing your application, make sure to highlight your experience in leading teams. We want to see how you've supported engineers and tech leads in the past, so share specific examples of your leadership style and how it has positively impacted your teams.
Get Technical: Don’t shy away from showcasing your technical background! Mention your experience with data products, AWS, Python, or any relevant tools. We’re looking for someone who can dive deep into architecture and data models, so let us know how you’ve done this in previous roles.
Focus on Outcomes: We care about results, so when you describe your past projects, focus on the outcomes. Talk about how your contributions led to improvements in data quality, efficiency, or team alignment. This will help us see the impact you can bring to our data product teams.
Apply Through Our Website: We encourage you to apply directly through our website! It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you’re keen to join the StudySmarter team!
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. Brush up on your knowledge of AWS, Python, and any relevant tools like Spark or Airflow. Being able to discuss these topics confidently will show that you're not just a manager but someone who can engage deeply with the technical aspects.
✨Showcase Your Leadership Style
Prepare examples that highlight your leadership skills, especially in hiring, coaching, and performance management. Think about specific situations where you've successfully led teams through challenges or improved processes. This will demonstrate your ability to build strong teams and support engineers effectively.
✨Align with Company Goals
Research the company’s mission and values, and think about how your experience aligns with their goals. Be ready to discuss how you can contribute to building trustworthy data products and improving engineering practices. This shows that you’re not just looking for a job, but are genuinely interested in making a positive impact.
✨Prepare for Cross-Functional Collaboration
Since this role involves working closely with various teams, prepare to discuss your experience in cross-functional projects. Highlight how you've navigated real-world constraints and collaborated with product, data engineering, and client-facing teams. This will illustrate your ability to work effectively in a hybrid environment and manage diverse stakeholder expectations.
