At a Glance
- Tasks: Lead a team tackling complex intelligence data challenges and drive innovative solutions.
- Company: A global intelligence business with over 125 years of heritage, now modern and cloud-native.
- Benefits: Up to £100k salary, hybrid working, 27 days leave, private medical, and pension contributions.
- Other info: Join a dynamic team in Manchester city centre with excellent career growth opportunities.
- Why this job: Make a real impact on critical data platforms that serve governments and enterprises worldwide.
- Qualifications: Hands-on engineering leader with backend or data platform experience and strong people skills.
The predicted salary is between 80000 - 100000 £ per year.
We're recruiting an Engineering Manager for a global intelligence business with over 125 years of heritage, now operating as a modern, cloud-native data platform serving governments, defence organisations and commercial enterprises worldwide. This is a hands-on leadership role sitting at the heart of how complex intelligence data is structured, delivered and consumed.
The team you'll lead owns the downstream layer of the platform, APIs, search and discovery systems, and data access and delivery services, working with some genuinely interesting technical challenges at scale.
What you'll be working on:
- The platform handles complex, unstructured intelligence data with heavy validation requirements.
- Leading a team of 6-8 engineers through live infrastructure challenges including a significant Document DB migration, large-scale S3 data transfers and evolving API design for backend data handling.
This is not a role for someone who manages from a distance. The tech stack includes AWS throughout, Python and Node.js on the backend, MongoDB and DocumentDB for document storage, OpenSearch and Elasticsearch for search and indexing, event-driven architecture, CI/CD, and strong observability standards.
What we're looking for:
- A hands-on engineering leader with a strong backend or data platform background.
- Genuine experience with unstructured data, schema design and document databases.
- Someone who understands what good looks like around data quality, validation and system reliability.
- A people leader who can develop engineers, have difficult conversations when needed and build a team that takes ownership.
- AWS experience and comfort with distributed, event-driven systems.
- Corporate governance instilled, you know the standards without needing to be taught them.
What this isn't:
- An analytics or BI role.
- A DevOps or infrastructure role.
- A role for someone who hasn't worked close to the data layer.
Package: Up to £100k base. Hybrid working, 2 days per week in Manchester city centre. Benefits include 27 days annual leave, BUPA private medical, 6% employer pension contribution and life cover.
If you're a technically credible EM who wants to work on data that genuinely matters, get in touch.
Engineering Manager - Data Platform in Manchester employer: Wave Group
Join a prestigious global intelligence business with over 125 years of heritage, where you will lead a dynamic team in tackling complex data challenges at scale. Our hybrid work culture promotes flexibility and collaboration, while our commitment to employee growth is evident through ongoing training and development opportunities. With competitive benefits including generous annual leave, private medical care, and a strong pension contribution, we offer a rewarding environment for those passionate about making a meaningful impact in the world of data.
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We think this is how you could land Engineering Manager - Data Platform in Manchester
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We think you need these skills to ace Engineering Manager - Data Platform in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Wave Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Wave Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
