At a Glance
- Tasks: Join our Data & Insight team to develop and maintain data solutions.
- Company: Keepmoat, a leader in creating communities and transforming lives.
- Benefits: Competitive pay, smart holidays, pension scheme, and exclusive discounts.
- Other info: Collaborative environment with great career development opportunities.
- Why this job: Gain hands-on experience in data engineering while making a real impact.
- Qualifications: Experience in data analysis or engineering, with strong SQL skills.
The predicted salary is between 27000 - 33000 £ per year.
Great homes start with great people. At Keepmoat our purpose is clear, we create communities and transform lives. Every year we build thousands of high-quality homes that help more people and families find a place to call their own. As we continue to grow, we’re looking for talented people who want to do meaningful work, develop their careers and help shape the future of housebuilding.
As a Junior Data Engineer, you'll join our Data & Insight team and play a key role in helping the business make data-driven decisions. Working alongside experienced data professionals, you'll support the development, maintenance and monitoring of data solutions that ensure our data is accurate, reliable and accessible for reporting, analytics and business insight. This is an excellent opportunity for someone looking to develop their career in data engineering, gaining hands-on experience with modern data platforms, cloud technologies and data integration tools within a collaborative and supportive environment.
Key Responsibilities
- Develop, maintain and support data pipelines that move data from source systems into data warehouses, lakehouses and other approved platforms.
- Assist with the optimisation of data pipelines to improve performance, reliability, scalability and maintainability.
- Write, test and maintain SQL queries, scripts and procedures to transform, validate and reconcile data.
- Support data modelling and schema design activities that underpin reporting and analytics solutions.
- Carry out data profiling, validation and quality checks, helping to identify and resolve data issues.
- Support cloud-based data engineering activities using Microsoft technologies, including Azure and Microsoft Fabric.
- Monitor scheduled data processes and integrations, investigating failures and supporting issue resolution.
- Create and maintain clear documentation for data pipelines, processes, controls and operational procedures.
- Work closely with BI Developers, Analysts and stakeholders to support trusted reporting and insight solutions.
- Follow development, testing, deployment and change management best practices.
- Contribute to continuous improvement initiatives that enhance data quality and reduce manual effort.
Skills, Experience and Qualifications
Essential:
- At least one year of relevant technical work experience, which may include data analysis, data engineering, software development, technical support, reporting or systems-related activity.
- Good understanding of SQL and relational database concepts, with the ability to write, test and troubleshoot queries.
- Strong analytical and problem-solving skills with excellent attention to detail.
- Ability to interpret business requirements and translate them into technical data-related tasks.
- Strong written and verbal communication skills, with the ability to document technical processes clearly.
- Proactive and self-motivated approach, with the ability to manage priorities and take ownership of assigned tasks.
- Good working knowledge of Microsoft Office applications, including Excel, Word, PowerPoint and Outlook.
Desirable:
- Experience with Microsoft Fabric, Azure Data Factory, Informatica or similar ETL/data integration tools.
- Understanding of data warehousing, data lakehouse concepts, data modelling and Power BI semantic models.
- Exposure to Python, Git, DevOps practices, source control, testing or deployment methodologies.
- Microsoft data certifications (such as DP-600 or DP-700), or a willingness to work towards professional certification.
- Flexibility to travel to other offices or sites when required.
Qualifications
Desirable:
- Relevant qualification in Data, Computer Science, Information Technology, Software Engineering, Mathematics or a related discipline, or equivalent practical experience.
- Microsoft data-related certifications (e.g. DP-600 or DP-700) are advantageous but not essential.
Why work for us?
- Competitive rates of pay
- Smart Holidays
- Company Pension Scheme
- Cycle to Work Scheme
- 5% discount on a Keepmoat home
- Exclusive offers and discounts
- Life Assurance and Health Assessments
- Employee Assistance Programme
- Volunteering Day and Payroll Giving
- Development opportunities to progress your career
Our values
Our values are the foundation for our vision, the cornerstone of our culture and the benchmark for our achievement. Straightforward - We get the job done in the most efficient and effective way. We are friendly, open and honest. It’s about being respectful and working in a transparent and honest way. Collaborative - We work together in partnership to deliver the very best customer experience. Partnership working is key to our business. We work collaboratively to deliver the best results possible. Passionate - We care about what we do. We put pride and energy into delivering results. It’s important to us to do a good job. Creative - We are proactive, flexible and resourceful. We listen, learn and deliver solutions. We don’t offer a one size fits all solution; we are flexible and will tailor our services to our customers’ needs.
At Keepmoat, we believe that diversity makes us stronger. We are committed to creating an environment where colleagues feel they belong. We recognise the importance of building a workforce that reflects the diverse communities we serve. We welcome applications from all suitably qualified candidates and are dedicated to ensuring our recruitment process is fair, accessible and free from discrimination. We are all about creating an inclusive workplace where everyone feels respected, valued and empowered.
HS&S Responsibilities
To take care of your own health and safety and that of others who may be affected by your work and adhere to the Keepmoat Health, Safety and Sustainability standards.
If this sounds like you, please apply now.
Junior Data Engineer in Doncaster employer: Keepmoat
Keepmoat is an excellent employer that fosters a collaborative and innovative work culture in Wigan, where employees are encouraged to grow and develop their skills. With competitive pay, a performance-linked bonus scheme, and a commitment to employee well-being, Keepmoat provides a rewarding environment for Architectural Technicians looking to make a meaningful impact in the construction industry.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Engineer in Doncaster
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Keepmoat!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Junior Data Engineer at Keepmoat.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Keepmoat.
✨Apply Directly through Our Website
When you find a suitable opening like Junior Data Engineer at Keepmoat, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Junior Data Engineer in Doncaster
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Keepmoat, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Keepmoat. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Keepmoat
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Keepmoat!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
