Tilt Recruitment
Macclesfield / Global
Data Engineering Manager
- £85,000
- Remote
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Macclesfield / Global
Data Engineering Manager
Location: Remote, UK
Are you an experienced Lead Data Engineer / Data Team Leader, or Data Engineering Manager ready to take the next step in your career?
You do not need to have held a senior management title to be considered. If you have led or mentored engineers, stayed hands-on with modern Azure data technologies, and helped take a data platform through meaningful transformation, this could be your opportunity to step into a broader leadership role.
You will join an organisation as it moves from a fragmented data landscape to a scalable, integrated enterprise data platform.
This is not a role where you will inherit a finished solution and keep it running. You will help shape the architecture, lead the technical delivery and develop the engineering capability needed to support the organisation's future.
What's in it for you?
A genuine opportunity to step up from a Lead Data Engineer or similar role
Ownership of a significant global data platform transformation
The freedom to influence the platform roadmap, architecture and technical direction
An existing team of six, with budget to grow to ten during the next financial year
The opportunity to build your formal leadership experience while developing and mentoring engineers
A role that keeps you close to the technology rather than moving you entirely into people management
International scope, supporting users and services across APAC, EMEA and the Americas
Exposure to senior stakeholders across technology, architecture, product and the wider business
The opportunity to apply your expertise within an organisation whose work has a meaningful global impact
What will you be doing?
You will help lead the journey from legacy and fragmented data services to a modern, integrated Microsoft data platform.
Working across strategy, architecture and hands-on delivery, you will:
Help define and deliver the data platform roadmap
Design and deliver solutions using Azure Data Lake, Databricks, SQL and Python
Lead the transformation and migration of existing systems and data services
Translate the wider programme into practical workstreams covering migration, integration, governance, analytics and legacy retirement
Design scalable data platforms and contribu...
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