Data Engineer Architect

Institution of Engineering and Technology (IET)
Stevenage
1 month ago
Create job alert

Join to apply for the Data Engineer Architect role at Institution of Engineering and Technology (IET)

1 week ago Be among the first 25 applicants

Join to apply for the Data Engineer Architect role at Institution of Engineering and Technology (IET)

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

Referrals increase your chances of interviewing at Institution of Engineering and Technology (IET) by 2x

Sign in to set job alerts for “Data Engineer” roles.

Tring, England, United Kingdom 9 hours ago

Luton, England, United Kingdom 4 weeks ago

Hemel Hempstead, England, United Kingdom 1 week ago

Tottenham, England, United Kingdom 3 weeks ago

Cambridge, England, United Kingdom 2 months ago

Cambridge, England, United Kingdom 1 day ago

Cambridge, England, United Kingdom 1 week ago

Cambridge, England, United Kingdom 2 months ago

Cambridge, England, United Kingdom 5 months ago

Cambridge, England, United Kingdom 3 weeks ago

Software Engineers (all levels - Graduates to principal Engineer)

Cambridge, England, United Kingdom 4 months ago

Tottenham, England, United Kingdom 3 weeks ago

Senior Software Engineer, Machine Learning

Cambridge, England, United Kingdom 2 weeks ago

Cambridge, England, United Kingdom 1 day ago

Cambridge, England, United Kingdom 1 week ago

Cambridge, England, United Kingdom 1 week ago

Harrow, England, United Kingdom 6 days ago

Luton, England, United Kingdom 2 days ago

Cambridge, England, United Kingdom 1 week ago

Cambridge, England, United Kingdom 1 week ago

Saffron Walden, England, United Kingdom 1 month ago

Luton, England, United Kingdom 6 days ago

Luton, England, United Kingdom 3 weeks ago

Cambridge, England, United Kingdom 6 days ago

Luton, England, United Kingdom 3 weeks ago

Senior Software Engineer, UI Applications

Cambridge, England, United Kingdom 2 days ago

Associate Analytics Implementation EngineerSenior Software Engineer, Experimentation Platform

Cambridge, England, United Kingdom 5 days ago

Cambridge, England, United Kingdom 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Engineer - Architect Scalable Data Pipelines

Lead Python Data Engineer - Leading Technology AI Brand

Azure Data Engineer: Architect Scalable Data Lakes

Lead Data Engineer: Architect Scalable Data Pipelines

Senior Data Engineer: Architect Scalable Data Pipelines

Data Architect Cloud - Finance Consultancy

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

Education

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.