Lead Data Engineer in Leeds

Lead Data Engineer in Leeds

Leeds Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and improve our central data platform while leading a dynamic data team.
  • Company: Join JN Bentley, a top civil engineering firm with a stellar reputation.
  • Benefits: Hybrid working, competitive salary, and a supportive culture focused on wellbeing.
  • Other info: Exciting opportunities for growth in a fast-paced, innovative environment.
  • Why this job: Make a real impact in data engineering and shape the future of our projects.
  • Qualifications: Strong experience in data architecture and cloud platforms, plus leadership skills.

The predicted salary is between 63000 - 77000 £ per year.

JN Bentley is a leading civil engineering and construction organisation that directly employs over 2,500 people.

We are a fast-growing business and are successfully working alongside companies such as National Grid, Rolls Royce, Yorkshire Water, United Utilities, Welsh Water, Severn Trent Water, the Environment Agency, and the Coal Authority, which has allowed us to progress as a leader in the UK construction and civil engineering sectors whilst developing and maintaining an excellent reputation with our clients.

Across JN Bentley and our design and build companies MMB and JBA Bentley, annual revenue now exceeds £650 million.

The Lead Data Engineer will design, deliver and improve the organisation’s central data platform.

The role combines data architecture, hands-on engineering, line management and technical leadership to provide secure, scalable and trusted data for reporting, analytics and AI.

As a Lead Data Engineer, you will

  • Design and implement scalable data warehouse and Microsoft Fabric solutions.
  • Define data architecture standards, design patterns and engineering best practices.
  • Develop conceptual, logical and physical data models aligned with business requirements.
  • Design, build and maintain reliable data pipelines and integrations.
  • Integrate data from databases, APIs, files and third-party platforms.
  • Set standards for data ingestion, transformation, storage and consumption.
  • Support data governance, quality, security, lineage and access controls.
  • Optimise the performance, resilience, storage and cost of the data platform.
  • Evaluate new technologies and recommend solutions that meet business needs.
  • Provide technical leadership, design assurance and mentoring across the data team.
  • Line manage members of the data team, including objective setting, development, workload planning and performance support.

What you’ll need

  • Strong experience in data architecture, data engineering or a comparable senior data role.
  • Experience designing and delivering modern cloud data platforms, ideally using Microsoft Fabric or Azure.
  • Strong knowledge of SQL, data modelling, warehousing, lakehouse architecture and integration patterns.
  • Experience with data governance, security, source control and automated deployment practices.
  • Strong communication, problem-solving and technical leadership skills.
  • Experience using source control tools such as Git.
  • Previous line-management experience, with the ability to develop, support and motivate technical team members.

What's in it for you?

Enjoy hybrid working from our Leeds office (2 days per week), a competitive salary, and a fantastic working culture.

We offer a supportive environment and access to a wide range of financial, lifestyle, health, and wellbeing benefits.

To view our full range of benefits, please see the Bentley benefits brochure attached.

Lead Data Engineer in Leeds employer: JN Bentley Experienced Careers

Mott MacDonald Bentley is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration within the water, energy, and environment sectors. With a strong commitment to employee growth through tailored progression plans and extensive training opportunities, you will be part of a team dedicated to making a positive impact on communities in the south west of England. The company also provides a comprehensive benefits package that supports your financial, lifestyle, health, and wellbeing needs, ensuring a rewarding and fulfilling career experience.

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Contact Details:

JN Bentley Experienced Careers Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Engineer in Leeds

Get Involved in Data Science Meetups

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Show Off Your Projects

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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 JN Bentley Experienced Careers.

Apply Directly through Our Website

When you find a suitable opening like Lead Data Engineer at JN Bentley Experienced Careers, 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 Lead Data Engineer in Leeds

Data Architecture
Data Engineering
Microsoft Fabric
Azure
SQL
Data Modelling
Data Warehousing

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 JN Bentley Experienced Careers, 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 JN Bentley Experienced Careers. 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 JN Bentley Experienced Careers

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 JN Bentley Experienced Careers!

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.