Lead Data Engineer

The Valuation Office Agency (VOA) are the public sector’s property valuation experts and advisers. We offer a whole host of learning and development opportunities to support your career development.

Data is crucial to that role and to the VOA. It’s at the heart of what we do, the use of data is woven into the operation of the business through the analytical models used operationally.

We’re looking for talented people who are eager to contribute to vital public services and assist us to deliver taxation and benefits support to the government and local authorities. Your skills and experience will enable us to provide an efficient, effective service right at the heart of the public interest.

At the heart of the agency, we are committed to providing our people with a work environment which is accommodating and accessible to all and which values diversity and inclusion in everything we do. We encourage our people to bring their whole selves to work by providing a culture that values different perspectives to help tackle complex problems, promote innovation and deliver stronger decision making in a safe and supportive environment. We therefore welcome applicants from a diverse range of backgrounds to join our organisation and enable us to be representative of the communities we serve.

We trust our people and look forward to welcoming your skills into the VOA community.

Lead Data Engineer – Role Overview

This role sits within Data Foundations which is a diverse multi-disciplinary team at the heart of VOA transformation supporting the Business Systems Transformation programme (BST) and the delivery of our data strategy. We have bold plans to unlock the value of the data in the Valuation Office Agency, and you will be at the heart of this, contributing to the team’s vision to make the availability of quality data an assumption, not a concern.

You will be joining at an exciting time with a fantastic opportunity to gain extensive experience in a broad range of activities. Our unit has a focus on leadership development. We have an open transparent culture based on collective responsibility and accountability. We support each other, we help each other, and we learn from each other.

Ideally, you’ll have a background in Data Engineering with a genuine business focus. Or you’ll be someone with a strong data background with an aptitude for programming. We want to hear from people who:

• Have an insatiable curiosity and want to innovate and improve.
• Are collaborative and seek to work across boundaries to achieve a common goal.
• Have enthusiasm for what they do and want to make positive change.
• Support their team and help them develop.
• Are tenacious and pragmatic enough to see things through.

“I am passionate to see the Data Engineering team drive innovation through the data we deliver and the relationships we build across the VOA. If you have the enthusiasm for Data Engineering and its role in supporting impactful analytics I want to hear from you. As we are currently in the process of migrating over to a new technology stack, we can provide you with the opportunity to make your mark on Data Engineering in VOA and provide an excellent experience that’ll enhance your future career prospects and skills development.” Joe Frend, Head of Data Engineering

Lead Data Engineer – Key responsibilities

You will be part of the Data Foundations unit within the VOA, initially your work will be focussed in developing our priority data pipelines, critical for supporting our analytical products and functionality.

The typical ongoing activity of the Lead Data Engineer could involve:

• Developing Azure Data Factory pipelines for the orchestration of data pipelines supporting the analytical community.
• As part of our initial Extract Transform Load (ETL) solution, co-ordinating the development of SQL scripts to ensure our datasets provide the Power BI community with the data they require.
• Collaborating with our analysts to identify new opportunities for our data to be used in advanced analytics to benefit the organisation.
• Developing the Data Engineering team to continue to build our capability.
• Establishing best Data Engineering practices.