Data Engineering Manager (Data Platform)

Carbon Data Solutions; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Funding Circle in London is hiring a Data Platform Engineering Manager. You will lead a team to deliver a modern Snowflake-based platform, migrate towards a data mesh/lakehouse, and drive platform health, efficiency, and stakeholder alignment.

This role blends hands-on engineering leadership with strategic delivery in a hybrid London setting. You will partner with the Head of Data Engineering and Principal Engineer to shape architecture, empower domain teams, and mentor engineers through growth

Qualifications

• Solid understanding of modern data platform architectures (Snowflake, data mesh/lakehouse, dbt, Airflow, streaming vs. batch pipelines, data contracts)
• Proven experience managing and leading high-performing data engineering teams in a product-driven environment
• Proven track record of mentoring and developing engineers, fostering a culture of technical excellence, innovation, and professional growth.
• Demonstrable experience in managing project delivery, including planning, prioritisation, and execution.
• Experience with Agile/Scrum methodologies.
• Excellent stakeholder management and communication skills, with the ability to engage effectively with both technical and non-technical audiences.
• Able to architect custom AI solutions and smart automated systems that are safe, maintainable, and aligned with our long-term mission
• Act as a technical bridge and mentor, training “builders"

Responsibilities

• Lead, manage, and mentor a team of data platform engineers, fostering a collaborative, innovative, and inclusive team culture.
• Champion a product mindset for internal tooling, ensuring our platform empowers domain teams to build quickly and safely without bottlenecks
• Oversee the recruitment, onboarding, and performance management processes for the team.
• Oversee the planning, execution, and delivery of projects within the data platform roadmap, ensuring timely and high-quality outcomes.
• Manage the team's backlog, prioritise tasks effectively. Define and track KPIs for platform health and team delivery.
• 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 platform.
• Communicate the team's roadmap, progress, challenges, and successes clearly and proactively to technical and non-technical audiences.
• Actively invest in the career development of your team members through coaching, mentoring, and identifying growth opportunities.

Skills

Snowflake

Data mesh / lakehouse

dbt

Airflow

Streaming pipelines

Batch pipelines

Data contracts

Agile / Scrum

Stakeholder management

Mentoring engineers

Job description

Data Engineering Manager (Data Platform) at Fundingcircle, via carbon.talent

We’re on a mission to back the UK’s small businesses like no one else Small businesses are the backbone of the economy, and we’re here to help them win.

London Full-time

Stack

Data

About this role

We’re on a mission to back the UK’s small businesses like no one else

Small businesses are the backbone of the economy, and we’re here to help them win. We’ve built a platform that uses clever data to get them the funding they need in minutes, not weeks.

At Funding Circle, we have the restless energy of a fintech start-up with the stability of a public company. It’s a unique mix that gives Circlers the autonomy to take ownership and the scale to make an impact that truly counts.

We’re a high-performing team that chooses to lift each other up. We challenge, we champion, and we have each other’s backs - because we know that when we stand together, we move faster and build better.

The impact is real: Last year alone, the businesses on our platform generated £7.2bn for the UK economy Come and join a mission that matters!

London (Hybrid) | 2 days in the office | Competitive Salary + Benefits You’ll make a real difference for our customers and your team from day one. We believe the fastest way to grow is by doing, so we give you the ownership to run with things and see real-time results We are looking for a Data Platform Engineering Manager to join our Data Platform Engineering team which sits under Tech and Data. We’re partway through a migration to a modern Snowflake-based platform, so you’ll join at a pivotal point where your decisions will shape how we work for years to come Reporting directly to the Head of Data Engineering, You’ll partner closely with our Technical Lead and Principal Engineer: while they drive architecture and technical patterns, you will own the delivery engine, team health, career progression, and stakeholder alignment that turns strategy into reality.

Lead, manage, and mentor a team of data platform engineers, fostering a collaborative, innovative, and inclusive team culture.

Champion a product mindset for internal tooling, ensuring our platform empowers domain teams to build quickly and safely without bottlenecks

Oversee the recruitment, onboarding, and performance management processes for the team. Set clear goals and expectations, providing regular feedback and guidance to team members.

Oversee the planning, execution, and delivery of projects within the data platform roadmap, ensuring timely and high-quality outcomes.

Manage the team's backlog, prioritise tasks effectively. Define and track key performance indicators (KPIs) for platform health and team delivery.

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 platform.

Communicate the team's roadmap, progress, challenges, and successes clearly and proactively to technical and non-technical audiences.

Actively invest in the career development of your team members through coaching, mentoring, and identifying growth opportunities. Create personalised development plans and support 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

We value deep expertise, but a growth mindset and good energy are what really make our team click. We’re a group that chooses to lift each other up and think smart every day.

Solid understanding of modern data platform architectures (,e.g. Snowflake, data mesh/lakehouse, dbt, Airflow, streaming vs. batch pipelines, data contracts)

Proven experience managing and leading high-performing data engineering teams in a product-driven environment

Proven track record of mentoring and developing engineers, fostering a culture of technical excellence, innovation, and professional growth.

Demonstrable experience in managing project delivery, including planning, prioritisation, and execution.

Experience with Agile/Scrum methodologies.

Excellent stakeholder management and communication skills, with the ability to engage effectively with both technical and non-technical audiences.

Able to architect custom AI solutions and smart automated systems that are safe, maintainable, and aligned with our long-term mission

Act as a technical bridge and mentor, training “builders