At a Glance
- Tasks: Lead and mentor a team while building scalable data pipelines on Databricks.
- Company: Join a fast-paced, product-focused tech company with a collaborative culture.
- Benefits: Enjoy free meals, gym access, and a competitive salary.
- Other info: Dynamic environment with opportunities for growth and development.
- Why this job: Shape the future of data architecture and make a real impact.
- Qualifications: Strong experience with Databricks, Python, and SQL required.
The predicted salary is between 70000 - 90000 £ per year.
Are you a hands-on Data Engineering leader who loves building high impact data platforms while mentoring and growing teams? We’re hiring a Data Engineering Manager to join a fast-moving, product-focused environment where collaboration is high, decisions are quick, and your work will directly shape real products used by the business.
This is a true player-coach position, roughly 50% hands-on engineering and 50% team leadership. You’ll lead a small but growing team of Data Engineers (currently 5, mostly junior), helping them mature technically while remaining deeply involved in building and optimising modern data pipelines on Databricks.
The team works in a highly collaborative office environment, enabling rapid delivery and close cross-functional teamwork.
- Leading and mentoring a team of Data Engineers
- Designing and building scalable data pipelines in Databricks
- Remaining hands-on with Python/PySpark development
- Working closely with product, frontend, and backend teams
- Integrating multiple data sources, including APIs
- Driving best practice across the data platform
- Helping shape the future data architecture
Requirements:
- Strong commercial experience with Databricks
- Advanced Python and PySpark
- Solid SQL skills
- Experience building production data pipelines
- Experience working with API-based data ingestion
- Fast-paced, highly collaborative office culture
High impact role in a growing data function. Free onsite restaurant (breakfast, lunch & snacks). Fully equipped onsite gym.
Data Engineering Manager (Remote) in London employer: Primus Connect
Join a dynamic and innovative company that prioritises collaboration and rapid decision-making, making it an excellent employer for a Data Engineering Manager. With a strong focus on employee growth, you will have the opportunity to mentor a talented team while remaining hands-on in building impactful data platforms. Enjoy unique benefits such as a free onsite restaurant and a fully equipped gym, all within a fast-paced, supportive work culture that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Manager (Remote) in London
✨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 Primus Connect!
✨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 Engineering Manager (Remote) at Primus Connect.
✨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 Primus Connect.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineering Manager (Remote) at Primus Connect, 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 Engineering Manager (Remote) in London
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 Primus Connect, 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 Primus Connect. 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 Primus Connect
✨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 Primus Connect!
✨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.
