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- Tasks: Lead engineering teams to build and maintain innovative data products.
- Company: Dynamic tech company focused on data solutions and team collaboration.
- 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 work 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.
For further details and to apply, please get in touch with jon.brass @ circlerecruitment.com.
Engineering Manager - Data Products Technical Manager in Manchester 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 Manchester
✨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 skills! Prepare a portfolio or case studies showcasing your past projects and achievements. This is your chance to demonstrate how you've led teams and delivered complex initiatives in data products.
✨Tip Number 3
Ace the interview by being prepared! Research the company’s data products and think about how you can contribute to their evolution. Be ready to discuss your technical background and how it aligns with their needs.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Engineering Manager - Data Products Technical Manager in Manchester
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, so share specific examples of your leadership style and how it has positively impacted your teams.
Get Technical: Even though this role isn't about coding day-to-day, we still want to know about your technical background. Mention your experience with data products, AWS, Python, or any relevant technologies. This will help us understand your depth of knowledge and how you can contribute to our data platform.
Focus on Outcomes: We’re all about results here at StudySmarter. In your application, emphasise how you've driven improvements and delivered complex initiatives in previous roles. Use metrics or specific achievements to illustrate your impact and show us how you can help our teams succeed.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates. Plus, it’s super easy!
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 also technically savvy.
✨Showcase Your Leadership Style
Prepare examples that highlight your leadership skills, especially in hiring, coaching, and performance management. Think about specific instances 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.
