At a Glance
- Tasks: Lead and mentor a dynamic team of Analytics Engineers while managing exciting projects.
- Company: Join a flexible-first employer with a focus on innovation and collaboration.
- Benefits: Enjoy tailored benefits, health perks, learning allowances, and lifestyle support.
- Other info: Work in a vibrant London office with great coffee and subsidised lunches.
- Why this job: Make a real impact in a supportive environment that values your growth.
- Qualifications: Experience in leading analytics teams and delivering high-quality data projects.
The predicted salary is between 69750 - 85250 £ per year.
Role
Data Engineering Manager to head up a critical Analytics Engineering team.
What will you be doing?
- Team Leadership & Management: Lead, manage, and mentor a team of Analytics Engineers, fostering a collaborative, innovative, and inclusive team culture.
Oversee recruitment, onboarding, and performance management processes for the team.
Set clear goals and expectations, providing regular feedback and guidance to team members.
- Delivery
Management: Oversee the planning, execution, and delivery of projects within the analytics engineering roadmap for the team, ensuring timely and high-quality outcomes.
Manage the team's backlog, prioritise tasks effectively.
Define and track key performance indicators (KPIs) for team delivery.
- Stakeholder Engagement & Management: Build strong relationships and collaborate effectively with key stakeholders, including technical and business leaders.
Understand stakeholder needs and translate them into actionable requirements for the data team.
Communicate the team's roadmap, progress, challenges, and successes clearly and proactively to technical and non-technical audiences.
- Engineer Development & Mentoring: Actively invest in the career development of your team members through coaching, mentoring, and identifying growth opportunities.
Create personalized development plans and support Analytics Engineers in acquiring new skills and expertise.
Foster a culture of continuous learning, knowledge sharing, and technical curiosity within the team.
- What We’re Looking For
- Proven experience managing and leading a high-performing Analytics Engineering team in a product-driven environment. Experience in Financial Services.
- Proven track record of mentoring and developing Analytics/Data Engineers, fostering a culture of technical excellence, innovation, and professional growth.
- Proven track record of successfully delivering Analytics Engineering projects with a focus on trustworthy, high-quality data.
- Demonstrable experience in managing project delivery, including planning, prioritisation, and execution. Experience with Agile/Scrum.
- Excellent stakeholder management and communication skills, with the ability to engage effectively with both technical and non-technical audiences.
- Excellent problem solving skills and the ability to translate complex business requirements into technical requirements.
• Ideally you would have the following
- Solid understanding of modern data platform architectures, DBT and Snowflake. (data warehousing, ETL/ELT processes, data orchestration, streaming data, data governance).
- A proactive approach to identifying and implementing improvements related to data pipeline reliability, data quality and performance.
Why join us?
We back you to build an incredible career.
As a flexible-first employer, we use a "best of both" approach.
We’ll see you in our London office to collaborate — with barista coffee and subsidised Just Eat lunches on us!
- Our Circler Proposition Focuses On Five Areas
- Flexibility: We provide a benefit allowance you can tailor to your own life and family.
- Health: This includes private medical and dental, health assessments, and access to a digital GP.
- Wealth: We offer life assurance, share schemes, and financial coaching.
- Development: You get a dedicated annual learning allowance to help you level up.
- Lifestyle: We have electric car and cycle-to-work schemes, plus season ticket loans.
We also have award-winning parental leave policies. We're here to support you through the big life moments, from fertility treatments to new additions to the family.
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Data Engineering Manager in London employer: Funding Circle UK
Funding Circle UK is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation within the Capital Markets team in London. Employees benefit from flexible working options, comprehensive health coverage, and a dedicated learning allowance, ensuring both personal and professional growth in a supportive environment. This role not only provides the opportunity to engage in meaningful capital markets transactions but also allows for the development of strong relationships across various teams, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Manager in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Engineering Manager 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!
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Craft a Tailored Cover Letter:For a full-time role at Funding Circle UK, 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 Funding Circle UK. 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 Funding Circle UK
✨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 Funding Circle UK!
✨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.
