At a Glance
- Tasks: Lead and mentor a team of Data Engineers while managing customer relationships.
- Company: Fast-growing AI SaaS company with a clear path for career advancement.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Exciting referral schemes and a chance to shape the future of data engineering.
- Why this job: Join a dynamic team and make a real impact in the AI space.
- Qualifications: Experience in leading Data Engineering teams and strong SQL knowledge required.
The predicted salary is between 85000 - 95000 £ per year.
- Data Engineer Manager – London
- Location: London | Hybrid – Monday to Thursday in the office. Friday work from home
A fast-growing AI Saa S company is looking for an experienced Data Engineering Manager to lead and grow a Data Engineering function within AI Saa S environment
This is a senior leadership opportunity with a clear path to Head of Data Engineering as you build your knowledge of the business, its products and customers.
You’ll lead a small team of Data Engineers, take ownership of delivery and work directly with external customers.
Although primarily a leadership role, you’ll need the technical depth to review SQL and code, challenge technical decisions and provide guidance when required.
- What you’ll be doing
- Lead, mentor and develop a team of Data Engineers.
- Own delivery, priorities and engineering standards.
- Manage customer relationships and translate requirements into practical solutions.
- Review SQL, code and technical approaches.
- Work closely with Product, AI and Engineering teams.
- Improve processes, quality and ways of working.
- Support the continued growth of the Data Engineering function.
- What you’ll bring
- Experience leading or managing Data Engineering teams.
- Strong people management and mentoring skills.
- Excellent SQL knowledge, with Python and modern data platform experience.
- Experience delivering customer-facing data products or solutions.
- Confidence working with external customers and senior stakeholders.
- A decisive, commercially aware and delivery-focused approach.
- Saa S, product-led, start-up or scale-up experience would be beneficial.
If you’re ready to lead a Data Engineering function and progress towards a Head of role, apply today to find our more!
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes!
If you have a friend or colleague who would be interested in this role, please refer them to us.
For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK.
For more information visit our website
Data Engineer Manager – London in Slough employer: Datatech Analytics
Datatech Analytics is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration within the secure government and defence sectors. Employees benefit from meaningful projects that have a direct impact on national security, alongside opportunities for professional growth and development in cutting-edge technologies. With a hybrid working model and a focus on employee well-being, this role provides a unique chance to contribute to critical transformation programmes while enjoying a supportive and engaging workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer Manager – London in Slough
✨Get Involved in Data Science Meetups
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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 Datatech Analytics.
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We think you need these skills to ace Data Engineer Manager – London in Slough
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 Datatech Analytics, 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 Datatech Analytics. 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 Datatech Analytics
✨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 Datatech Analytics!
✨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.
