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- Tasks: Join us as a Data Engineer to build a first-class data platform.
- Company: Homes England is dedicated to creating affordable housing and supporting home ownership.
- Benefits: Enjoy 33 days of annual leave, flexible working, and professional development opportunities.
- Why this job: Make a real social impact while working with cutting-edge technologies in a collaborative environment.
- Qualifications: Experience with cloud technologies and coding in Python, PySpark, or SQL is preferred.
- Other info: Open to UK, Commonwealth, and EEA nationals; diverse applicants encouraged.
The predicted salary is between 28800 - 48000 £ per year.
Join to apply for the Data Engineer (P1259N) role at Homes England in Birmingham, West Midlands; Bristol, South West England; Liverpool, North West England; or Salford, North West England.
Job Summary
Here at Homes England Digital, it’s not just about what we do, but why we do it. We want to make sure that the right number of homes are built in the places that people want to live, supporting affordable housing and home ownership, and regeneration. This is a rare chance to shape the future Data Engineering landscape in a fast-growing, national organisation with real social purpose. Working with key stakeholders and a professional Digital Services team you will ensure efficient, consistent, and effective resolution of engineering challenges and help create a first-class data platform for data practitioners across Homes England.
As a Data Engineer, you will play a critical role in the development of our Azure Data Platform. You will be helping to grow our team of talented Data professionals, who are committed to making Homes England a Data-led organisation. To deliver this you will be using the latest tools and technologies such as Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Azure DevOps and Terraform alongside languages such as Python, PySpark and SQL, deploying pipelines through CI/CD practices.
You will work with digital, data and technology colleagues collaboratively, taking an innovative and creative approach to deliver key strategic projects around automated analytics and reporting. We value diversity in experience and perspective to foster good decision making and problem solving within our team. There are exciting and ambitious projects to get involved with and this is an excellent opportunity to balance day-to-day delivery whilst providing an environment to learn and stay up to date with current tools and technologies.
Job Description
You are resilient and comfortable managing and communicating with stakeholders across the business. Your discussions will always be shaped by a good understanding of the commercial and operational impact of what we do as an engineering team. You enjoy working in an innovative, fun and engaging way while delivering high-quality solutions.
You will be able to design and deliver pipelines to copy data from various sources, transform this data based on the requirements of the analysis and business teams, and present this data in an accessible and consistent way. To deliver this you will have preferably worked with cloud technologies and have a good level of coding skills (preferably Python, PySpark and SQL). Solutions you deliver should be reusable and scalable with a focus on consistency and maintainability. You will be able to review existing processes and improve them while thinking about better cost efficiency and performance. As part of this, you should have a desire to learn and explore new technologies.
As an experienced Digital professional, you’ll understand how to manage relationships with colleagues and be able to demonstrate you can work with others as part of a team in a collaborative, inclusive way.
Person Specification
- Experience of delivering data solutions using cloud technologies (preferably Azure)
- Experience of coding and automating data pipelines using languages such as Python, PySpark and SQL
- Experience of working with large and complex data environments
- Evidence of adaptability with the ability to learn new technologies and methodologies
- Experience developing and maintaining effective working relationships with technical and non-specialist colleagues
- Experience of translating business problems into technical solutions
- Experience in a role that includes problem solving, analytical and logical skills
Skills
- Efficiently collecting, manipulating and validating large and complex datasets
- Designing and building data models and services
- Comfortable giving definition to ambiguous problems, can do this independently with limited guidance
- Solid understanding of software design principles and Agile best practice
- Verbal/written communication & data presentation skills, including experience of effectively communicating with both business and technical teams
- Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy
Benefits
Homes England is an executive non-departmental public body with its own terms and conditions, benefits and pension scheme. We are a government agency working in partnership with the private sector and want to employ and retain great people. In return we offer a range of excellent benefits, some of the key benefits include:
- Holiday - Homes England offers all staff 33 days annual leave per year in addition to 8 statutory bank holidays.
- Working Flexibly - At Homes England we have a strong culture of flexible working and encourage all employees to have a healthy work/life balance. We offer a wide range of potential working patterns, including part-time, job share and compressed hours.
- Health and Wellbeing - We offer health screening with Nuffield Proactive Health Clinics, a free Employee Assistance Programme which offers confidential support 24 hours a day, 7 days a week as well as access to Occupational Health.
- Professional Development - At Homes England we are committed to your continued professional and personal development with learning as one of our core values. We pay for one job-related professional membership subscription per year for our employees.
- We also offer an excellent range of family-friendly benefits, for example, maternity, paternity, shared parental leave.
Selection Process Details
How to apply? To apply please follow the links to our careers page.
Security
Successful candidates must pass a disclosure and barring security check.
Homes England are an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates. We are proud to be an equal opportunities employer that values and respects the people who work for us. Our aim is to be an employer of choice, enabling everyone to reach their full potential.
Data Engineer (P1259N) employer: Homes England
Contact Detail:
Homes England Recruiting Team
recruitmentinfo@homesengland.gov.uk
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (P1259N)
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Azure Databricks and Terraform. Having hands-on experience or even personal projects using these platforms can set you apart from other candidates.
✨Tip Number 2
Network with current or former employees of Homes England on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage during interviews.
✨Tip Number 3
Prepare to discuss your problem-solving skills in detail. Think of specific examples where you've successfully tackled complex data challenges, as this aligns closely with the role's requirements and demonstrates your analytical capabilities.
✨Tip Number 4
Showcase your adaptability by discussing any new technologies or methodologies you've learned recently. This will highlight your commitment to continuous learning, which is a key trait that Homes England values in its employees.
We think you need these skills to ace Data Engineer (P1259N)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with cloud technologies like Azure. Emphasise your coding skills in Python, PySpark, and SQL, as well as any experience with data pipelines and automation.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the role and how it aligns with Homes England's mission. Mention specific projects or experiences that demonstrate your ability to deliver high-quality data solutions and your collaborative approach to working with stakeholders.
Showcase Your Problem-Solving Skills: Provide examples in your application of how you've tackled complex data challenges in the past. Highlight your analytical skills and your ability to translate business problems into technical solutions, which is crucial for this role.
Highlight Continuous Learning: Mention any recent courses, certifications, or self-study you've undertaken related to data engineering or cloud technologies. This shows your commitment to staying updated with industry trends and your desire to grow within the field.
How to prepare for a job interview at Homes England
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Azure technologies, Python, PySpark, and SQL. Bring examples of projects where you've successfully implemented data pipelines or worked with cloud solutions, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Mission
Homes England focuses on building homes that people want to live in. Familiarise yourself with their goals around affordable housing and regeneration, and be ready to discuss how your role as a Data Engineer can contribute to these objectives.
✨Prepare for Stakeholder Interaction
Since the role involves managing relationships with various stakeholders, think of examples where you've effectively communicated technical concepts to non-technical audiences. This will show your ability to bridge the gap between technical and business teams.
✨Demonstrate Problem-Solving Skills
Be ready to discuss specific challenges you've faced in previous roles and how you approached solving them. Highlight your analytical skills and your ability to adapt to new technologies, as these are crucial for the Data Engineer position.
