Data Engineer

Requirements of the role

Job Introduction

We are looking for two Data Engineers to join our Business Intelligence team in brand new roles at the Regulator of Social Housing (RSH).

Working in a hybrid fashion and out of one of our offices in Leeds, Birmingham, Manchester or Bristol, you’ll play a central role in supporting our transformational data programme, giving you opportunity to make an impact in transforming the systems we use to collect regulatory data from registered providers.

About the role:
As a Data Engineer, you will focus on modernising our legacy data systems, enabling scalable, resilient data services that underpin regulatory functions and business intelligence. You will design and maintain robust data pipelines, integrate diverse data sources and support analytical capabilities through well structured, reusable assets.

You will work closely with colleagues and third parties to ensure data solutions are aligned, interoperable and future ready and will provide technical leadership and mentoring to analytical staff, contribution to the development of shared standards.  You will enable the analytical teams by developing and maintaining reusable assets, including PowerBI templates, that support insightful reporting.

You will embed and champion DataOps principles across the data lifecycle, promoting automation, monitoring, continuous improvement and collaboration in data delivery. You will identify and resolve complex data challenges, particularly those arising from legacy systems, proactively driving forward improvements.

About you:
As the successful candidate, you should have strong data engineering skills, with the ability to demonstrate your experience of designing, building and maintaining data systems and pipelines in complex environments. You will have strong programming skills, such as in Python, SQL or similar and will have a familiarity with version control systems and collaborative development processes.

You will have excellent communication skills, with the ability to develop key relationships and work effectively and communicate clearly with both technical and non-technical teams. You will also have strong problem solving skills, with the ability to tackle complex legacy data challenges.

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