At a Glance
- Tasks: Lead a team to design and deliver innovative data solutions for public services.
- Company: Join a forward-thinking Digital Services team in Lancashire.
- Benefits: Competitive salary, flexible working, and a generous pension scheme.
- Other info: Be part of a large-scale digital transformation with great career growth.
- Why this job: Make a real difference in your community through impactful data projects.
- Qualifications: Extensive data engineering experience, strong leadership, and cloud platform skills.
The predicted salary is between 51356 - 55612 £ per year.
Salary £51,356 - £55,612 Per Annum (Pay Award Pending) | Permanent | Full time, 37 hours per week | Hybrid working
Shape the Future of Data in Lancashire. Please note: International Sponsorship – this role is not open to international sponsorship. We are looking for an exceptional Principal Data Engineer to lead the design and delivery of modern data solutions that directly improve services for residents across Lancashire. This is a key leadership role at the heart of our Digital Services transformation, driving innovation through data.
What You’ll Be Doing
- Lead and mentor a team of data and integration engineers
- Design and deliver scalable data platforms and pipelines
- Own end-to-end data engineering solutions
- Drive modern cloud data architecture using Azure technologies
- Collaborate with architects, analysts, and service teams
- Champion best practice in data engineering and governance
About You
- Extensive experience in data engineering and cloud platforms (Azure preferred)
- Strong experience with ETL/ELT pipelines and data lakes
- Advanced SQL and data modelling skills
- Experience building APIs and integration services
- Proven leadership and mentoring capability
Why Join Us
- Work on meaningful projects that impact public services
- Be part of a large-scale digital transformation
- Flexible and hybrid working arrangements
- Generous Local Government Pension Scheme and benefits
If you are ready to lead, innovate, and make a difference through data, we would love to hear from you. For an informal chat please contact Angela Teasey on 01772 535235. Closing date: 05 July 2026. Please ensure you upload a supporting statement demonstrating how you meet the criteria for the role. We reserve the right to close down a vacancy early, before the closing date, if we receive sufficient applications.
Principal Data Engineer | Digital Services in Preston employer: Lancashire County Council
Join us in shaping the future of data in Lancashire, where you'll lead a talented team in delivering impactful digital services that enhance public life. Our flexible hybrid working model, commitment to employee growth, and generous benefits, including a Local Government Pension Scheme, make us an exceptional employer for those looking to innovate and make a difference in their community.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Engineer | Digital Services in Preston
✨Get Involved in Data Science Meetups
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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 Lancashire County Council.
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We think you need these skills to ace Principal Data Engineer | Digital Services in Preston
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 Lancashire County Council, 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 Lancashire County Council. 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 Lancashire County Council
✨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 Lancashire County Council!
✨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.
