At a Glance
- Tasks: Lead the design and build of a modern data platform using Azure.
- Company: Join a renowned cultural organisation transforming its data landscape.
- Benefits: Salary up to £75,000 plus comprehensive benefits package.
- Other info: Opportunity to mentor a growing team and drive best practices.
- Why this job: Make a real impact on data innovation and AI initiatives.
- Qualifications: Strong expertise in data modelling and experience with Azure Data Services.
The predicted salary is between 75000 - 75000 £ per year.
This is a fantastic opportunity to join one of the UK's most recognisable cultural organisations as they embark on a major data transformation programme. You'll take ownership of building a modern data platform from the ground up, driving best practice across data engineering while helping the organisation unlock the full value of its data and AI ambitions.
THE COMPANY: Part of a renowned charitable organisation that entertains millions across the UK, this is the largest publicly funded performing arts organisation in the country. The organisation is investing heavily in modernising its technology estate and creating new opportunities to leverage data, analytics and AI to support future growth and innovation.
THE ROLE: You will take ownership of designing, building and evolving the organisation's modern data platform. As the technical lead for data engineering, you will define standards, mentor a growing team and deliver data solutions that support business-wide analytics and future AI initiatives.
- Leading the design and implementation of a cloud-based Lakehouse platform using Microsoft Fabric
- Building scalable and reliable data pipelines using a Medallion architecture approach
- Designing robust data models and semantic layers across multiple business domains
- Establishing engineering best practices, governance frameworks and development standards
- Managing and developing a small team of data engineers
- Partnering with stakeholders across the organisation to translate business requirements into scalable data solutions
- Enabling high-quality downstream reporting, analytics and Power BI semantic models
- Supporting long-term data innovation and AI initiatives across the organisation
YOUR SKILLS AND EXPERIENCE: You will bring strong capability in:
- Strong expertise in dimensional data modelling and semantic layer design
- Hands-on experience with Microsoft Fabric and/or Azure Data Services
- Proven experience delivering end-to-end data solutions, from ingestion through to Power BI reporting and analytics
- Strong stakeholder management and communication skills
- Previous experience managing, mentoring or leading teams, with at least two direct reports
THE BENEFITS: You will receive a salary up to £75,000 dependent on experience, alongside a comprehensive benefits package.
Lead Data Engineer (Azure) employer: Harnham
Join a leading UK-based media organisation at the forefront of digital transformation, where your role as Director of Streaming Product and Growth will be pivotal in shaping the future of their subscription services. With a strong emphasis on innovation and a collaborative work culture, you'll have access to significant growth opportunities, competitive salary packages, and a performance-based bonus structure, all while working in a dynamic environment that values data-driven decision making and customer-centric strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer (Azure)
✨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 Harnham!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Data Engineer (Azure) at Harnham.
✨Leverage Professional Networks
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 Harnham.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Engineer (Azure) at Harnham, 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 (Azure)
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 Harnham, 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 Harnham. 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 Harnham
✨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 Harnham!
✨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.
