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Data Engineering Lead

ICAEW
Milton Keynes, United Kingdom
Last week
£75,000 – £85,000 pa
Applications closed

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Salary

£75,000 – £85,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Lead
Education
Degree
Posted
30 Apr 2026 (Last week)

Benefits

Flexible working arrangements Generous benefits package including gym discounts, pension plan, season ticket travel loans, health and dental plans
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Data Engineering Lead
Milton Keynes
Hybrid
Permanent
Full time - 35 hours
£75,000 - £85,000

Join the ICAEW

At ICAEW, you'll be part of an organisation that's shaping the future of business, finance and the accountancy profession on a global scale. Our bold 2030 Strategy puts members, innovation, sustainability and trust at the heart of everything we do-creating an exciting, forward-looking environment where your work has real impact. We invest in our people through our benefits package, continuous development and a supportive, inclusive culture that empowers you to grow and thrive. If you're looking for a role with purpose, influence and opportunity, ICAEW is a place where your future can truly take shape.

Role Profile

The Data Engineering Lead is responsible for building and leading the data engineering capability at ICAEW, ensuring that data is collected, transformed, and made available in a secure, scalable, and efficient manner. The role will lead a small team of engineers, shaping best practice in data architecture, pipelines, and platforms, and working closely with the Data Architect, Data Governance, Data Science, and Technology colleagues to ensure the data estate supports current and future analytical, operational, and digital needs.

Responsibilities include:

* Lead, mentor, and develop the data engineering team, ensuring delivery of robust and reliable data pipelines and platforms.

* Design and implement scalable data architectures, including data lakes, warehouses, and integration layers.

* Ensure data is accessible, well-structured, and compliant with governance, quality, and security requirements.

* Collaborate with the Data Architect to translate data architecture and design principles into practical engineering solutions.

* Design, implement, and manage data integration across enterprise systems, ensuring reliability, scalability, and alignment with organisational needs.

Candidate Profile

Requirements include:

* Extensive experience in Data, with a previous role in a lead engineering capacity.

* Proven track record in leading data engineering teams in a Microsoft data eco-system. We are a Microsoft-first house in terms of data sources.

* Hands-on experience with data engineering development, automation and integration strategy/implementation.

* Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and programming languages (Python, R).

* Ability to translate business problems into data-driven solutions and communicate insights effectively.

For the full role profile please click the document attached.

Why work for us?
We want you to enjoy your work and flourish in your role.
Our working environment is friendly and supportive, and we encourage everyone to understand personal differences and treat each other with respect.
We are a diverse organisation, employing skilled and motivated people from all backgrounds and helping them to reach their full potential, through training and development.
Sustainability is important to us, and we work hard to reduce our carbon footprint, whether that's in our buildings through lighting and heating, or encouraging staff to recycle and reduce paper consumption.
Our employee benefits include:

* A substantial suite of training and development
* Flexible working arrangements
* A generous benefits package which includes gym discounts, pension plan, season ticket travel loans and health and dental plans
We are a disability confident employer.

We reserve the right to close this vacancy earlier than the advertised closing date should we receive a sufficient number of suitable applications. We therefore encourage interested candidates to apply as soon as possible to avoid disappointment

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