At a Glance
- Tasks: Lead and mentor a dynamic data team while driving innovative data strategies.
- Company: Global leader in tech with a strong focus on work-life balance.
- Benefits: Up to £120k salary, 10% bonus, and excellent benefits.
- Other info: Hybrid working policy with a tight-knit team culture.
- Why this job: Join a forward-thinking company and work with cutting-edge technologies.
- Qualifications: Proven experience in data engineering and team management.
The predicted salary is between 120000 - 120000 £ per year.
My client are well recognised as being leaders within their relative field. With operations spanning across a range of continents, they have a footprint in nearly every major city globally. They were first established over half a century ago but they are part of a much bigger group which has been around for even longer, providing stability and financial backing which allows the business to continue to use cutting edge technologies.
Whilst this role requires someone who comes from a Data Engineering background, this is a hands off role where you will be a people manager. You will be managing the core Data team but also looking after 2 other streams of work within PowerApps and Sharepoint. You will be required to provide mentorship as well as helping to drive the data strategy within the organisation. This role is paying up to £120k as a base salary. You will get up to 10% bonus (Discretionary) as well as a range of other great benefits. My client value work life balance more than anything as they strongly believe that a happy work force brings out the best productivity. They also have such a tight knit team which they want to maintain and they've achieved this through a hybrid working policy where all members of the team are required to be in office 3 days a week.
Experience required:
- Proven experience in MS Business Intelligence technologies, including Power BI
- Strong background in data architecture and engineering principles
- Demonstrated ability to manage teams and deliver complex projects
- Expertise in data warehousing and ETL processes
- Solid understanding of data governance and compliance standards
This is a unique opportunity for someone to work within a forward thinking organisation that will give you exposure to the latest technologies and some of the most exciting projects the market has to offer. Get in touch ASAP if you're interested.
Key Skills:
- Azure
- Microsoft
- Databricks
- AI
- Power Platform
- Fabric
- Power Apps
- DevOps
- SharePoint
- Business Intelligence
- Power BI
- Data Architecture
- London
Senior Data Engineering Manager - Azure - London - Up to £120k employer: Jefferson Frank
As a Senior Data Engineering Manager at this esteemed organisation in London, you will join a forward-thinking team that prioritises work-life balance and employee well-being. With a strong emphasis on mentorship and professional growth, the company offers exposure to cutting-edge technologies and exciting projects, all within a supportive hybrid working environment. Enjoy competitive compensation, including a generous bonus structure and a collaborative culture that fosters innovation and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineering Manager - Azure - London - Up to £120k
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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 Jefferson Frank.
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We think you need these skills to ace Senior Data Engineering Manager - Azure - London - Up to £120k
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 Jefferson Frank, 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 Jefferson Frank. 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 Jefferson Frank
✨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 Jefferson Frank!
✨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.
