Data Engineering Manager

Our global fintech client is on a mission to transform how large-scale financial transaction data is processed, reconciled, and trusted. They are now seeking an experienced Data Engineering Manager to lead a high-impact team responsible for building and scaling a mission-critical regulatory and transaction data platform.

This is a hands-on leadership role with significant autonomy, where you will shape data strategy, build compliant data processes, and lead the evolution toward a modern cloud-based data platform.

The Opportunity

You will lead a small but highly capable team (2–3 engineers) at the heart of a fast-growing fintech platform. The team is currently mid-way through a major platform realignment, migrating from legacy Oracle EPM solutions to a modern Snowflake / DBT / Airflow-based data platform.

This role sits at the intersection of data engineering, financial compliance, and auditability. You will play a key role in ensuring the organisation can meet strict regulatory safeguarding requirements, demonstrating to regulators that merchant funds are always accounted for and available.

Success in this role requires someone who is:

Detail-oriented and thoughtful, with a strong appreciation for financial data accuracy
Comfortable operating in audit-heavy environments (multiple audits per year)
Able to defend data solutions clearly to auditors and stakeholders
A strong leader who can balance delivery, team leadership, and hands-on engineering

Role Responsibilities

Leadership & Team Management

Lead, mentor, and motivate a small, high-performing data engineering team
Manage day-to-day team operations within an Agile Scrum environment (2–3 week sprints)
Provide clear direction, remove blockers, and ensure delivery against sprint goals
Foster a culture of accountability, collaboration, and continuous improvement

Delivery & Execution

Own and drive delivery of a clearly defined data engineering roadmap
Ensure consistent progress against project milestones, deadlines, and regulatory requirements
Communicate status updates, risks, and roadblocks clearly to stakeholders
Work closely with product, delivery, and business teams to align on priorities

Hands-On Engineering

Design and build scalable, resilient data pipelines and data warehouse solutions
Contribute directly to engineering work, setting technical standards by example
Develop and enhance ETL/ELT pipelines supporting reconciliation and safeguarding use cases
Build robust, compliant data processes aligned with regulatory standards

What You will Be Working On

Migration from legacy systems (Oracle EPM) to a modern Snowflake + DBT + Airflow data platform
Development of an autonomous data warehouse supporting audit and compliance reporting (Omni)
Building data processes that underpin regulatory safeguarding requirements
Designing systems capable of passing frequent external audits
Expanding use of AI-assisted engineering tools (e.g., Claude Code) and driving adoption across the team

What You will Bring (Must-Have)

8+ years in data engineering, with 3+ years in leadership or management roles
Proven experience managing small engineering teams in delivery-focused environments
Strong expertise in SQL and relational databases (Oracle, PostgreSQL, MSSQL, Snowflake)
Hands-on experience building data pipelines and data warehouse solutions (DW modelling)
Solid experience with Snowflake and DBT
Practical knowledge of CI/CD tooling (GitLab, Jenkins, or similar)
Experience in regulated financial environments (payments, reconciliation, safeguarding)
Ability to design data solutions and confidently articulate and defend them to auditors
Strong stakeholder communication skills, including translating technical concepts to non-technical audiences
Experience working in Agile Scrum environments

Nice to Have

Experience with Java (medium proficiency) or Groovy
Python scripting experience
Familiarity with Oracle Cloud infrastructure
Exposure to Oracle EPM (can be learned)
Experience with microservices or JVM-based systems
Experience leveraging AI tools (e.g., Claude Code) in software development workflows

Key Traits for Success

Highly detail-oriented with a strong focus on data accuracy and integrity
Comfortable working under strict regulatory and audit requirements
Strong decision-making skills — able to walk through data solutions and trade-offs clearly
Ability to operate autonomously and own both technical and delivery outcomes
Passion for building scalable, future-proof data platforms

Why Join?

Fully remote role – work from anywhere in the UK (must have permanent right to work)
Opportunity to lead a business-critical compliance and safeguarding platform
High autonomy — shape your roadmap and execution approach
Work on a modern data platform transformation at scale
Collaborative culture with strong respect, open communication, and shared ownership
Influence strategy across technology, product, and business in a global fintech

If you are a hands-on data engineering leader who thrives in complex, regulated environments, enjoys solving challenging data problems at scale, and wants to play a key role in building a world-class financial data platform, this is an opportunity to make a real impact.