At a Glance
- Tasks: Lead the development of a cloud-based data platform and build robust data pipelines on Azure.
- Company: Scottish Water, committed to innovation and sustainability in water management.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Hands-on role with no direct reports, focusing on technical direction and mentoring.
- Why this job: Shape a scalable data ecosystem and collaborate with talented professionals in a dynamic environment.
- Qualifications: Experience in Azure data engineering and strong collaboration skills.
The predicted salary is between 63000 - 77000 £ per year.
Scottish Water is seeking a Principal Data Engineer (Azure) to lead our cloud-based data platform within the Business Analytics team. The role is hands-on with no direct reports, guiding standards and technical direction, building robust data pipelines on Azure, and collaborating with data scientists, architects and platform engineers to deliver value.
You will help shape a scalable, governed data ecosystem, ensure high-quality outcomes through code reviews and mentoring.
Lead Azure Data Engineer – Lakehouse & AI Platform in Dartford employer: Scottish Water
Scottish Water Horizons is an exceptional employer, offering a dynamic work environment where your contributions directly impact communities across Scotland. With a strong commitment to employee growth, we provide extensive benefits including 38 days of holiday, flexible working arrangements, and opportunities for professional development. Join us at our Stepps office and be part of a team that values boldness, responsibility, inspiration, and care, all while making a meaningful difference in the water and wastewater sector.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Azure Data Engineer – Lakehouse & AI Platform in Dartford
✨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 Scottish Water!
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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 Scottish Water.
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When you find a suitable opening like Lead Azure Data Engineer – Lakehouse & AI Platform at Scottish Water, 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 Azure Data Engineer – Lakehouse & AI Platform in Dartford
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 Scottish Water, 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 Scottish Water. 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 Scottish Water
✨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 Scottish Water!
✨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.
