Data Platform Lead – Hybrid (Azure, Fabric & Power BI) in Manchester

Data Platform Lead – Hybrid (Azure, Fabric & Power BI) in Manchester

Manchester Full-Time 51750 - 63250 Β£ / year (est.) Home office (partial)
I

At a Glance

  • Tasks: Lead the design and development of a cutting-edge Microsoft data platform.
  • Company: Join Investigo, a forward-thinking company in Manchester.
  • Benefits: Enjoy a hybrid work model, competitive salary, and career growth opportunities.
  • Other info: Be part of a dynamic team driving innovative data solutions.
  • Why this job: Make an impact by unifying data across finance, CRM, and operations.
  • Qualifications: Experience with Azure, Fabric, Databricks, and Power BI is essential.

The predicted salary is between 51750 - 63250 Β£ per year.

Investigo is seeking a Data Platform Lead/Head of Data in Manchester to drive the strategy and delivery of a Microsoft-based data platform.

The role combines greenfield development with stakeholder engagement, using Azure/Fabric, Databricks, and Power BI to unify data from finance, CRM, and operations.

You will lead the end-to-end design, build scalable ETL pipelines, data models, and reporting layers, while setting governance, security, and quality standards.

#J-18808-Ljbffr

Data Platform Lead – Hybrid (Azure, Fabric & Power BI) in Manchester employer: Investigo

Investigo is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for professionals looking to make a significant impact in the financial sector. Located in Coventry, employees benefit from a competitive salary package, including performance bonuses and cash allowances, alongside ample opportunities for professional growth and development in a forward-thinking environment. Join us to be part of a team that values your expertise and encourages you to drive meaningful change through automation and technology.

I

Contact Details:

Investigo Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Data Platform Lead – Hybrid (Azure, Fabric & Power BI) in Manchester

✨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 Investigo!

✨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 Data Platform Lead – Hybrid (Azure, Fabric & Power BI) at Investigo.

✨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 Investigo.

✨Apply Directly through Our Website

When you find a suitable opening like Data Platform Lead – Hybrid (Azure, Fabric & Power BI) at Investigo, 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 Data Platform Lead – Hybrid (Azure, Fabric & Power BI) in Manchester

Azure
Fabric
Power BI
Databricks
ETL Pipeline Development
Data Modelling
Reporting Layer Design

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 Investigo, 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 Investigo. 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 Investigo

✨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 Investigo!

✨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.