Data Engineer Architect

Institution of Engineering and Technology (IET)
Stevenage
3 weeks ago
Applications closed

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Are you passionate about shaping data strategies that drive real change and innovation?

Do you excel at designing scalable data solutions, implementing best practices, and leading the adoption of cutting-edge technologies?

Could you be our next Data Engineer Architect, helping to enhance our data-driven decision-making?

Up to £55,000

Permanent / Full Time

Stevenage with Hybrid Working

At the IET, making our world a better place starts by creating a better place for our people.

At the IET you’ll have more than just a job. Our work is exciting and challenging, connecting the people who solve the problems that matter. It means working with us has real meaning and impact, and you’ll grow – professionally and personally – in ways you never thought possible.

We’re also making significant investments in our people, including providing a modern, vibrant workplace and embracing hybrid working.

What you'll be doing

As a Data Engineer Architect, you’ll play a pivotal role in transforming The IET’s data landscape, ensuring our data strategy and technology solutions are cutting-edge, efficient, and aligned with our strategic objectives. Reporting to the Head of Data Technology and CRM, you’ll lead the evolution of our data architecture, championing best practices and driving the adoption of Azure-based data solutions.

You’ll be at the forefront of modernising our data technology stack, implementing scalable and resilient data pipelines, and enhancing accessibility, security, and usability. Working across all teams at The IET, you’ll provide technical expertise to ensure high-quality, reliable data underpins critical decision-making and operational excellence.

As a leader in the Data Technology team, you’ll guide offshore development teams, collaborate with analytics and business stakeholders, and play a key role in shaping the future of data-driven insights at The IET. If you’re passionate about harnessing the power of data to drive impact and innovation, we’d love to hear from you.

What we hope you can bring to the role

We’re looking for a highly skilled data engineering professional with experience in shaping and embedding organisation-wide data strategies. You’ll have hands-on expertise with Azure data technologies and a strong track record of delivering scalable, secure, and high-performance data solutions.

Your technical credibility will be key in making impactful architectural and engineering decisions. Strong stakeholder management skills, the ability to engage with diverse teams, and experience in Agile delivery processes will be vital. Experience in AI/ML implementation within an Azure environment would be a great advantage.

A Little More About The Role

  • Manage and lead the modernisation of The IET’s data architecture, ensuring alignment with best practices and strategic goals.
  • Drive the adoption of Azure data technologies such as Fabric, Data Factory, Databricks, Synapse, and Delta Lake.
  • Develop and maintain scalable data pipelines, ensuring efficient data ingestion, transformation, and storage.
  • Introduce and enhance self-service reporting capabilities for stakeholders across The IET.
  • Collaborate with analytics and business teams to optimise data accessibility and usability.
  • Work closely with Information Security teams to implement robust data security measures.
  • Design and implement advanced analytics and business intelligence solutions using tools like Power BI.
  • Provide technical expertise, troubleshooting support, and mentorship within the Data Technology team.
  • Stay ahead of emerging trends in data engineering to ensure The IET remains at the forefront of innovation.

A Little More About What We’re Looking For

  • Proven experience in a senior data engineering role, ideally as a Lead/Senior Data Engineer or equivalent.
  • Extensive knowledge of the Azure analytics ecosystem and core Azure data technologies.
  • Strong programming skills in C#, SQL, PowerShell, and Python.
  • Experience in AI/ML implementation within an Azure environment.
  • Demonstrable expertise in data strategy development and embedding best practices.
  • Strong stakeholder management skills and experience in Agile delivery processes.
  • Technical credibility and confidence in architectural decision-making.
  • Familiarity with governance practices, data security standards, and compliance frameworks.
  • A proactive approach to process improvement, innovation, and continuous learning.
  • Microsoft Azure Data Engineer Associate certification (desirable) and exposure to Power Platform

We’d love to get to know you

Is Imposter syndrome creeping in? Don’t worry – we’d rather hear from you this time than not hear from you at all!

Download the full job description for a little more information about the role; but also, keep in mind that we’re open to discussing flexible ways of working, including reduced hours and working in an agile way, supported by a hybrid working framework that allows you to find the best place to do your best work.

The IET will collect, use and handle personal information about you in connection with our online and offline recruitment activities. For further information about privacy please see our Recruitment Privacy Notice.

Apply

When you select ‘apply now’ you will be taken to our candidate portal where, once registered, you can submit your CV in application for this role. If you have already created an account, you will need to log in to progress your application.

Should you require further support to register your interest in a role, or complete an application, please contact .

What if you could be you?

The IET is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Learn more about life at the IETSeniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesNon-profit Organizations

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