At a Glance
- Tasks: Lead a data engineering team and shape the strategy for cloud migration.
- Company: Established online business with direct access to C-suite leadership.
- Benefits: Competitive salary up to £100k, hybrid work model, and career development opportunities.
- Other info: Opportunity to mentor and develop a talented team in a dynamic environment.
- Why this job: Make a real impact by driving innovation in data engineering and AI.
- Qualifications: Experience in leading teams, SQL, Azure, and cloud architecture.
The predicted salary is between 90000 - 110000 £ per year.
Reporting into the C-suite, you'll connect the ambitions of an established online business with what its engineers build.
You'll own the strategy, architecture and roadmap, with responsibility for the tooling, budget and suppliers behind them.
You'll also need the technical depth to help when delivery gets difficult.
Someone who can work through a design with the team, mentor an engineer or roll their sleeves up when there's a pinch point.
Microsoft Fabric is being explored.
The interest is there, but the foundations and route to adoption still need working out.
You'll decide where it fits and what needs to happen first.
What you'll be doing
- Turning business priorities into a data engineering strategy the team can deliver.
- Leading and developing ten people, providing technical direction and mentoring.
- Owning the architecture and migration from on-prem SQL into Azure.
- Making the calls on tooling, investment and suppliers, and explaining those decisions to senior leadership.
- Setting engineering standards across data modelling, pipelines, quality, governance, automated deployments and production reliability.
What we need
- Experience leading a data engineering team, with ownership of strategy and delivery.
- Strong technical grounding in SQL, Azure, Azure Data Factory and ETL/ELT, including cloud migration and architecture.
- The confidence to challenge senior stakeholders and make a clear case for investment.
- Enough engineering depth to step into the detail and help the team move forward.
There's real appetite for AI here.
They want someone who has explored how it can improve engineering, automation or platform operations and can bring useful ideas into practice.
Choosing the right tool for the job matters, alongside knowing how to test whether it's actually helped.
Up to £100k, Manchester hybrid, direct C-suite access and ownership of the data engineering function. A team to develop and a substantial platform programme to shape
Head of Data Engineering in Manchester employer: Microsoft Corp.
Microsoft Corp. is an attractive employer due to its commitment to innovation and quality in product development. The company provides ample opportunities for career advancement and fosters a collaborative work environment that encourages creativity and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Engineering in Manchester
✨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 Microsoft Corp.!
✨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 Head of Data Engineering at Microsoft Corp..
✨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 Microsoft Corp..
✨Apply Directly through Our Website
When you find a suitable opening like Head of Data Engineering at Microsoft Corp., 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 Head of Data Engineering 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!
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 Microsoft Corp., 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 Microsoft Corp.. 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 Microsoft Corp.
✨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 Microsoft Corp.!
✨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.
