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- Tasks: Lead and mentor a dynamic team of Analytics Engineers while managing project delivery.
- Company: Join a flexible-first employer with a collaborative culture in the heart of London.
- Benefits: Enjoy tailored benefits, health perks, learning allowances, and lifestyle support.
- Other info: Flexible work arrangements and excellent career growth opportunities await you.
- Why this job: Make a real impact in data engineering and foster innovation in a supportive environment.
- Qualifications: Experience in leading analytics teams and delivering high-quality projects is essential.
The predicted salary is between 70000 - 90000 £ per year.
We are looking for a 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 the 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.
Data Engineering Manager employer: Funding Circle
Contact Detail:
Funding Circle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in a data role. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects and achievements. Whether it’s a GitHub repo or a personal website, having tangible evidence of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data engineering. Think about how you’d lead a team or tackle a project delivery challenge. The more you rehearse, the more confident you’ll feel when it’s showtime!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves. Let’s get you on board!
We think you need these skills to ace Data Engineering Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Engineering Manager role. Highlight your leadership experience and any relevant projects you've delivered, especially in analytics engineering.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for our team. Share specific examples of how you've led teams, managed projects, and engaged with stakeholders in previous roles.
Showcase Your Technical Skills: Don’t forget to mention your technical expertise! If you’ve worked with modern data platforms, DBT, or Snowflake, make sure these are front and centre in your application.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Funding Circle
✨Know Your Team Inside Out
Before the interview, take some time to research the company’s Analytics Engineering team. Understand their projects, challenges, and successes. This will help you speak confidently about how you can lead and mentor them effectively.
✨Showcase Your Leadership Style
Be prepared to discuss your leadership approach. Share specific examples of how you've fostered a collaborative and innovative culture in previous roles. Highlight your experience in mentoring and developing team members, as this is crucial for the role.
✨Master Stakeholder Engagement
Think about how you’ve successfully engaged with stakeholders in the past. Prepare to share examples of how you translated complex requirements into actionable tasks for your team. This will demonstrate your communication skills and ability to manage expectations.
✨Demonstrate Your Technical Expertise
Brush up on your knowledge of modern data platform architectures, DBT, and Snowflake. Be ready to discuss how you’ve implemented improvements in data pipeline reliability and quality. Showing your technical prowess will reassure them that you can lead the team effectively.