At a Glance
- Tasks: Lead a dynamic team of Data Engineers and shape data strategies for impactful projects.
- Company: A leading housing association focused on improving lives through data-driven decisions.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Join a collaborative environment with a focus on innovation and career development.
- Why this job: Make a real difference by leveraging data to enhance community services.
- Qualifications: Experience in leading teams and knowledge of Azure, Databricks, and Python.
The predicted salary is between 56700 - 69300 £ per year.
The Data Engineering Manager role is responsible for leading the data engineering team within a leading housing association. This position combines strategic leadership with technical expertise to develop and oversee the organisation’s data capabilities, ensuring best practices and effective governance frameworks are in place.
About the Organisation
The organisation is a housing association committed to delivering essential services and improving outcomes for residents through data-driven decisions.
Role Overview
The Data Engineering Manager will oversee a growing team of Data Engineers, shaping its structure, capability, and future direction. The role involves collaborating with stakeholders to promote data as a strategic asset, improving data quality, reliability, and accessibility. Success involves developing a strategic roadmap, establishing governance standards, and balancing operational delivery with long-term planning. The position entails approximately 20-30% hands-on work, with the remainder focused on leadership, strategy, and stakeholder engagement. The role operates within an Azure environment, with technologies including Databricks and Python.
Key Skills & Experience
- Lead and mentor a team of Data Engineers
- Define and implement data governance frameworks, policies, and standards
- Develop and deliver a roadmap of data initiatives and projects
- Establish best practice across data engineering and data management
- Collaborate with senior stakeholders to communicate the value of data
- Drive improvements in data quality, reliability, and accessibility
- Support and evolve an Azure data platform using Databricks and Python
Nice to Have
- Experience working in the Bradford area
Key Responsibilities
- Lead, mentor, and develop the data engineering team
- Define and implement data governance frameworks and standards
- Establish best practices for data engineering and management
- Develop and execute a strategic data project roadmap
- Collaborate with stakeholders to demonstrate data value
- Improve data quality, reliability, and accessibility
- Support the Azure data platform and balance operational and strategic priorities
Requirements
- Right to work in the UK
- Experience leading Data Engineering teams
- Knowledge of Azure-based data platforms, Databricks, and Python
- Proven track record in establishing governance and operational standards
- Strong stakeholder engagement skills
- Ability to translate technical concepts into business value
- Available for an initial 2-week period starting 21/07/2026
- Based on-site in Bradford with hybrid working arrangements
Data Engineer Manager employer: Gravitas Group
Gravitas Group is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation within the Insurance Technology sector. Located in the vibrant city of London, employees benefit from a hybrid working model, extensive professional development opportunities, and a supportive environment that encourages personal growth and meaningful contributions to client success.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer Manager
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Gravitas Group!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer Manager at Gravitas Group.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Gravitas Group.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer Manager at Gravitas Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer Manager
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Gravitas Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Gravitas 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 Gravitas 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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Gravitas Group!
✨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.
