Please click apply to learn more before role closure of Thur 11th Sep 25
60% hybrid week from Stratford
Base = £41,289 + Annual Pension (STC) = £11,961
25 days holiday and more.
About HMRC
At HM Revenue & Customs (HMRC) we are committed to creating a great place to work for all our colleagues; an inclusive and respectful environment that reflects the diversity of the society we serve. We want to maximise the potential of everyone who chooses to work for us, and we offer a range of flexible working patterns and support to make a fulfilling career at HMRC accessible to you.
Diverse perspectives and experiences are critical to our success, and we welcome applications from all people from all backgrounds with the experience and skills needed to perform this role.
HMRC is one of the UK's largest government departments and one of the country's biggest organisations. Almost every individual and business in the country is a direct customer of HMRC. We collect more than £500 billion a year in revenue from over 50 million customers across the UK.
This is an exciting time to join HMRC as we continue our journey to become one of the most digitally advanced tax authorities in the world. To achieve our ambition, we are investing in ground-breaking initiatives and programmes to transform our tax systems, building a dynamic organisation with a culture that focuses on, and significantly invests in, the continual development of our people.
Job Description
Data Engineering and Analytics (DEA) is made up of 23 people, who are primarily SAS, SQL or Oracle programmers working in system development roles. We form part of HMRC's wider Debt Management (DM) team.
DM focuses on helping customers comply fully with their tax obligations, by making timely and targeted contact with customers who do not comply.
DEA maintains and improves DM's large-scale data warehouses, which are 'big data' analytics and debt management systems, complete with a decision engine, using SAS on an Oracle platform. This system combines data from a range of sources, captures changes, and builds a single source of business intelligence for DM.
This is used to place customers on the most appropriate debt-recovery journey in terms of effectiveness, efficiency, and customer experience. Using SAS, we evaluate customer responses to HMRC interventions and create behaviour models and risk profiles. We continually enrich the data to meet the requirements of current and future campaigns, and work to identify and resolve system issues and inefficiencies to improve campaign deployment.
This is an exciting time to join the team as we transition our systems to the Cloud, and work to understand and exploit the powerful and dynamic analytical environment it brings. We are also heavily involved in the transformation programme which will see DM's large-scale data warehouse replaced by a new capability during
Person Specification
As a Junior System Developer, you will deliver the system components necessary to integrate our debt management system with the operational transactional systems, which enable front-line teams to effectively perform debt collection activities.
Working with a Senior Developer on solution designs for your projects, you will develop architecture and systems designs, including the designs for, development, testing and delivery. This will be achieved using SAS Enterprise Guide, SAS Viya and / or SAS Data Integration Studio and GIT lab - skills you will either bring to the role or develop during your tenure.
You will be comfortable engaging with a wide range of people, translating complex technical data into more accessible language, and vice versa. Working collaboratively with the business and technical leads, you will review business requirements, contribute to technical requirements, produce documentation and provide assurances on delivery. You will be able to readily translate this into a comprehensive work plan, complete with timelines and risks to delivery.
Working with the business, you will develop quality controls to assure the accuracy of your work, and ensure customers are being engaged in the most appropriate manner.
You develop data-driven products for analysis and visualisation to inform and drive business performance.
Essential Criteria
* You will have commercial experience of coding in the SAS language, and – ideally – in SQL and ORACLE as well.
* You will have proven experience of developing data to create reports and visual products to inform business analysis, and support recommendations to drive business performance.
* You will be able to readily communicate your work to a non-technical audience in a clear and logical manner to facilitate productive relationships with stakeholders and inform the team's work schedule.
Desirable Criteria
* Experience of undertaking development work on multi-terabyte databases would be an advantage, as would experience of SAS Data Integration Studio and SAS VIYA.
* Experience of using GIT Lab.
* SAS Certification>
Behaviours
We'll assess you against these behaviours during the selection process:
* Changing and Improving
* Communicating and Influencing
Technical skills
We'll assess you against these technical skills during the selection process:
* Technical Question - Exploring your knowledge of SAS programming
* Technical Question- Exploring your knowledge of SQL programming
* Technical Question- Exploring your knowledge of Data Visualisations
How to Apply
As part of the application process, you will be asked to provide the following:
* A name-blind CV including your job history, qualifications and previous experiences.
* A 750-word personal statement to demonstrate the Essential Criteria as listed within the advert.
* A 250 word statement on the Desirable Criteria, including any ODP experience and qualifications you have. This is not mandatory for the role but may be considered by the vacancy-holder where candidates have the same scores at sift or interview.
Further details around what this will entail are listed on the application form.
Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use.