At a Glance
- Tasks: Design and manage scalable data solutions, focusing on large datasets and real-time analytics.
- Company: IMSERV, a leading UK data collection and energy metering expert.
- Benefits: 28 days annual leave, enhanced pension contributions, healthcare plan, and social events.
- Other info: Diversity and inclusion are central to our recruitment practices.
- Why this job: Join a dynamic team and make an impact in the energy sector with innovative data solutions.
- Qualifications: Experience with Spark, SQL, and Azure Data Factory; strong problem-solving skills.
The predicted salary is between 40000 - 50000 £ per year.
About Us: IMSERV is one of the UK’s leading data collection and energy metering experts, delivering award-winning services to more customers in more places, meeting industry targets and becoming a benchmark for excellence. We offer a range of specialist metering technology for electricity, gas, and water along with highly accurate energy data collection services. All this is wrapped up with an easy-to-view online data management analysis and reporting software.
Purpose of the Role: The purpose of the role is to design, build, and manage scalable data solutions focusing on the ingestion, transformation, and management of large datasets across real-time analytics environments. This includes developing robust and efficient data pipelines, ensuring secure and well-governed data access, and optimising system performance. The role also involves analysing business requirements to ensure data is accessible and usable for decision-making, while carrying out platform administration, monitoring, and maintenance to support reliable and secure operations.
Main Responsibilities:
- Develop and maintain data infrastructure, data warehouses, and big data processing systems.
- Build data pipelines that clean, transform, and aggregate data from disparate sources.
- Build solutions for automated ingestion and data versioning i.e. Time Travel.
- Provide technical skills and support to other areas for Fabric components under the team’s control.
- Ensure data accuracy, reliability, security, and compliance with policies.
- Work with analysis engineers, analysts, developers, and business teams to understand needs and deliver solutions.
- Re-engineer manual processes for scalability and efficiency.
- Deliver project tasks to agreed timescales and provide technical expertise to ensure project success.
- Ensure business continuity strategy is appropriate for purpose and is always delivering.
- Report on work in progress and any problems and performance issues.
- Perform established procedures to accredited standards on an ongoing basis.
- Contribute to the planning, research, recommendation, and implementation of current and future IT strategies.
Person Specification:
Essential:
- Demonstrable experience of Spark (PySpark) and SQL.
- Demonstrable experience of Fabric components.
- Demonstrable experience of working on enterprise environments.
- Experience of designing architectural Fabric processes.
- Experience of Azure Data Factory.
Desirable:
- DP-700 (Microsoft Fabric Data Engineer) certification.
- Demonstrable experience of Oracle PL/SQL or SQL Server.
- Demonstrable experience of data visualization/exploration tools.
- Understanding of Project Life Cycles.
- Able to make recommendations that will benefit the organisation, which are where possible cost-effective and timely.
- Able to deliver innovative solutions for problems encountered within the scope of Data Engineer duties.
- Continuous improvements to existing team processes/monitoring.
- High attention to detail and ability to work under pressure.
Benefits:
- 28 days annual leave plus Bank Holidays.
- Annual leave Buy & Sell scheme.
- Enhanced Salary Sacrifice Pension Contributions.
- Life Assurance up to 6 X Base Salary.
- Simply health – Healthcare plan (Upgrades available).
- In Office & Out of Office Social Events.
- Retailer Discounts Platform.
- Car Salary Sacrifice Scheme.
Our people are our main asset. We strive to ensure they remain happy, competitive, and fulfilled - helping to propel our business forward and ensure we remain customer-centric and competitive. We are proud to remain the UK’s leading and growing energy data collection and meter operations service provider.
Diversity and inclusion have long been at the heart of IMSERV’s success. As we continue our growth, our focus remains on ensuring that equality, diversity, and inclusion remain central to our business and recruitment practices. We recognise that we operate in an industry in which there has traditionally been a lack of diversity, and we are keen to encourage applications from as inclusive a group as possible. We recognise that a balanced workforce encourages collaboration and innovation, promotes entrepreneurship and a feeling of ownership. These are the key drivers of our business, that our customers really look to us for.
(Please note that we reserve the right to close this position before the expiry date)
Data Engineer in Milton Keynes employer: IMServ
IMSERV is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. With a strong commitment to employee growth, we provide extensive benefits including a generous annual leave policy, enhanced pension contributions, and opportunities for professional development. Our inclusive culture fosters diversity and encourages all team members to contribute to our mission of delivering excellence in energy data collection and metering services across the UK.
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We think this is how you could land Data Engineer in Milton Keynes
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We think you need these skills to ace Data Engineer in Milton Keynes
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!
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Craft a Tailored Cover Letter:For a full-time role at IMServ, 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 IMServ. 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!
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✨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!
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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 IMServ!
✨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.
