At a Glance
- Tasks: Lead a team of Data Engineers while actively delivering technical solutions.
- Company: Join a market-leading organisation with a focus on data innovation.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Fast-paced environment with a commitment to technology and AI development.
- Why this job: Shape the future of data engineering and make a real impact.
- Qualifications: Strong experience in data engineering, SQL, Python, and team leadership.
The predicted salary is between 72000 - 88000 Β£ per year.
We're partnering with a market-leading, highly regulated organisation to recruit a newly created Data Engineering Manager position. This is a fantastic opportunity for a hands-on data engineering leader to take ownership of a growing data function, leading a team while remaining actively involved in technical delivery.
Acting as the bridge between senior leadership and the data team, you'll be responsible for the data engineering roadmap, platform development, engineering standards, and delivery capability. This is a genuine player-coach role, with a roughly 60/40 split between hands-on engineering and leadership responsibilities.
The Role
- Lead and develop a team of Data Engineers and Data Analysts
- Own the data engineering function, platform roadmap, and delivery priorities
- Design, build, and optimise data pipelines, integrations, and warehouse solutions
- Drive best practice across SQL, Python, data modelling, and engineering standards
- Improve platform reliability, performance, and scalability
- Lead data quality, monitoring, and observability initiatives
- Work closely with senior stakeholders across the business to deliver data-driven outcomes
- Evaluate new tools, technologies, and future platform requirements
Technology
- Microsoft Azure
- SQL
- Python
- Data Warehousing
- Data Integrations & Backend Engineering
The business takes a pragmatic approach to technology and is increasingly leveraging AI-assisted development practices to accelerate delivery.
About You
- Strong Data Engineering experience with ownership of data platforms or warehouses
- Advanced SQL and Python skills
- Experience working within Azure environments
- Previous team leadership or mentoring experience
- Strong understanding of data architecture, engineering best practices, and data quality
- Comfortable working with legacy source systems and improving data reliability
- Able to communicate effectively with both technical and business stakeholders
Why Apply?
- Newly created role with significant ownership and influence
- Opportunity to shape the future of the data platform and engineering function
- Strong mix of leadership and hands-on technical work
- Direct exposure to senior stakeholders and strategic decision-making
- Fast-paced environment with genuine investment in data and technology
This role would suit a Lead Data Engineer, Principal Data Engineer, or hands-on Data Engineering Manager looking to make a significant impact within a growing organisation.
Data Engineering Lead in London employer: Eutopia Solutions Limited
As a leading player in the AI learning and workforce transformation sector, this company offers an exceptional work environment that fosters innovation and collaboration. With a strong focus on employee growth, you will have the opportunity to shape the future of enterprise sales while working closely with the CEO in a mission-driven culture that prioritises skills development and social impact. The hybrid working model in London allows for flexibility, ensuring a balanced work-life experience while being part of a high-performing team dedicated to making a difference.