Data Engineer

Data Engineer

Full-Time 45000 - 55000 £ / year (est.) No home office possible
IMServ Europe Ltd

At a Glance

  • Tasks: Design and manage scalable data solutions for real-time analytics.
  • Company: IMSERV, a leading UK data collection and energy metering expert.
  • Benefits: 28 days leave, pension contributions, healthcare plan, and social events.
  • Why this job: Join a dynamic team and make an impact in the energy sector.
  • Qualifications: Experience with Spark, SQL, and Azure Data Factory required.
  • Other info: Diversity and inclusion are central to our recruitment practices.

The predicted salary is between 45000 - 55000 £ per year.

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.
  • To 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 data visualization/exploration tools.
  • Understanding of Project Life Cycles.
  • 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.

COMPANY 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*

(*Length of service & T&Cs apply)

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 employer: IMServ Europe Ltd

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 generous annual leave, enhanced pension contributions, and a focus on diversity and inclusion, ensuring that every team member feels valued and empowered. Located in the heart of the UK, our team enjoys a vibrant culture with regular social events and opportunities for professional development, making IMSERV a rewarding place to advance your career as a Data Engineer.
IMServ Europe Ltd

Contact Detail:

IMServ Europe Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer

✨Tip Number 1

Network like a pro! Reach out to current employees at IMSERV on LinkedIn or attend industry events. A friendly chat can give you insider info and maybe even a referral!

✨Tip Number 2

Show off your skills! Prepare a mini-project or case study that highlights your experience with Spark, SQL, and Azure Data Factory. Bring it up during interviews to demonstrate your hands-on expertise.

✨Tip Number 3

Be ready to discuss real-time analytics! Brush up on how you've tackled data ingestion and transformation in past roles. This will show you're not just a techie but also understand the business side of things.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the IMSERV team.

We think you need these skills to ace Data Engineer

Spark (PySpark)
SQL
Fabric components
Azure Data Factory
Data Pipeline Development
Data Warehousing
Big Data Processing
Data Ingestion Automation
Data Versioning
Data Accuracy and Reliability
Technical Support
Project Management
Attention to Detail
Problem-Solving Skills
Understanding of Project Life Cycles

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Spark, SQL, and Azure Data Factory. We want to see how your skills match what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team at IMSERV. Keep it concise but impactful.

Showcase Your Projects: If you've worked on any relevant projects, be sure to mention them! Whether it's building data pipelines or optimising system performance, we love seeing real-world examples of your work.

Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!

How to prepare for a job interview at IMServ Europe Ltd

✨Know Your Tech Inside Out

Make sure you brush up on your Spark (PySpark) and SQL skills. Be ready to discuss how you've used these technologies in past projects, especially in enterprise environments. This will show that you can hit the ground running!

✨Understand the Role's Purpose

Familiarise yourself with the key responsibilities of a Data Engineer at IMSERV. Think about how you can design, build, and manage scalable data solutions. Prepare examples of how you've tackled similar challenges in previous roles.

✨Showcase Your Problem-Solving Skills

Be prepared to discuss innovative solutions you've implemented for data-related problems. Highlight any experience you have with automated ingestion and data versioning, as this is crucial for the role.

✨Ask Insightful Questions

Prepare thoughtful questions about the company's data strategies and how they ensure data accuracy and compliance. This shows your genuine interest in the role and helps you understand if it's the right fit for you.

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