At a Glance
- Tasks: Join our data team to create impactful data models and support business reporting.
- Company: Orbit, a leading affordable housing developer in the UK.
- Benefits: Flexible working, training support, and wellbeing programmes.
- Other info: 12-month fixed-term role with excellent career development opportunities.
- Why this job: Make a difference in people's lives through data engineering in a values-driven environment.
- Qualifications: Experience in SQL, ETL, Azure DevOps, and strong analytical skills required.
The predicted salary is between 43760 - 54697 £ per year.
Salary: £43,760 - 54,697 per year
Requirements
- Excellent analytical skills and attention to detail.
- Experience working on SQL database development solutions within Visual Studio.
- ETL skills, minimum SSIS, preferably Data Factory, Synapse and Fabric.
- Experience developing data warehouse solutions and modelling fact and dimension tables.
- Working knowledge of Azure DevOps methodologies for Agile projects, including source control, development, testing and deployment pipelines.
- Good communication skills to convey complex technical concepts to non‑technical stakeholders.
- Experience gathering requirements, doing business analysis and working with SMEs to build and refine a requirements backlog.
- Ability to write technical documents and data dictionaries.
- Scripting experience with Python and PowerShell.
- Strong documentation and organisational skills to support effective knowledge transfer.
- Ability to manage time effectively and balance multiple priorities in a fast‑paced environment.
Responsibilities
- Deliver a range of data engineering activities within our central data team to produce relevant data models that support business reporting requirements.
- Support the Platform Lead – Data Engineering and work in partnership across the Transformation, Technology and Data directorate to design, build, deploy and support the security, networks and infrastructure required to host our central data platform.
- Ensure development, solution designs and ways of working align with our corporate policies on data governance compliance.
- Embed and document best practice processes within our Data Engineering team and support documentation standards and clear knowledge sharing to improve onboarding and troubleshooting.
- Use Azure DevOps in line with our Data Engineering ways of working for source control, development, deployment pipelines and testing, while recording required detail and time spent on assigned DevOps activities.
- Review requirements and specifications, define test conditions, identify issues and risks, analyse and report test activities and results, and identify root causes of data issues with sustainable fixes.
- Support the Transformation, Technology and Data directorate in embedding the end‑to‑end data and reporting process in our organisation.
- Work with Data Architecture and teams across Transformation, Technology and Data to elicit end‑user requirements and translate them into actions for the Data Engineering team.
- Participate in code reviews, mentoring opportunities, and adapt to evolving technologies such as Microsoft Fabric and Power Platform.
Technologies
- Azure Data Warehouse
- DevOps
- ETL
- Fabric
- Support
- PowerShell
- Python
- SQL
- Security
- SSIS
- Visual Studio
- Cloud
- Power BI
We are Orbit, one of the UKs largest housing groups and a leading developer of affordable housing. We believe everyone is entitled to a good home they can afford, in a place they are proud to live, and more than 100,000 people live in our homes. We are recruiting for a Data Engineer to join us on a 12 month fixed‑term basis, working on key projects within our Everyday Excellence programme and as part of our Technology & Information team. We offer an inclusive experience with benefits and wellbeing programmes, flexible working opportunities for many roles, and development support through training programmes and professional qualifications. We are values‑driven, focused on progress and people, and our hiring process is simple and fair with online application, interview(s), decision and offer. Certain roles are subject to a DBS check.
Data Engineer - Binley Woods employer: Orbit Group
At Orbit, we pride ourselves on being an excellent employer, offering a supportive and inclusive work culture that prioritises employee wellbeing and development. As a Data Engineer in Binley Woods, you will have access to flexible working opportunities, comprehensive training programmes, and the chance to contribute to meaningful projects that impact the lives of over 100,000 residents. Join us to be part of a values-driven organisation that fosters growth and innovation in the housing sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Binley Woods
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Orbit Group before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Orbit Group.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Orbit Group.
We think you need these skills to ace Data Engineer - Binley Woods
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Orbit Group, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Orbit Group, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Orbit Group’s attention and show the tangible impact of your work.
How to prepare for a job interview at Orbit Group
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Orbit Group.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Orbit Group.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Orbit Group.
