At a Glance
- Tasks: Lead the design and build of a cutting-edge data platform using Microsoft technologies.
- Company: Join a forward-thinking organisation investing in technology and data transformation.
- Benefits: Up to £90k salary, excellent benefits, and flexible remote work options.
- Other info: Opportunity for career growth in a dynamic and innovative setting.
- Why this job: Make a real impact by shaping data strategy in a greenfield environment.
- Qualifications: Experience as a Senior Data Engineer with strong skills in SQL, Python, and Azure.
The predicted salary is between 90000 - 90000 £ per year.
Data Platform Lead/Head of Data - Microsoft Technology - Manchester
Up to 90k per annum plus excellent benefits & bonus - 1/2 days per week on-site expected, the rest from home. Full-time role
Data Platform Lead/Head of Data with strong Microsoft/Fabric skillsrequired for an organisation that is progressing through investment in technology & data transformation.
This is an exciting greenfield opportunity to lead the strategy and delivery on a data platform that will bring together multiple sources of data from various systems.
Ideally you will be a Senior Data Engineer/Lead that is looking to move up in your career and make a real difference in an organisation that is looking to invest and grow.
Within the role
- Lead the end-to-end design and build of the organisation's data platform, utilising the Microsoft ecosystem (Azure/Fabric, Databricks, Power BI)
- Develop scalable ETL/ETL pipelines, data models and reporting layers to support business-wide analytics.
- Integrate data from core business systems across finance, CRM & operations.
- Work with senior stakeholders to translate business needs into data solutions.
- Set pragmatic data governance, security & quality standards.
- Proven experience as a Senior Data Engineer, Data Platform Engineer or Data Lead.
- Demonstrated ability to build a data platform from scratch in a low-maturity or greenfield environment would be highly desirable.
- Experience working with multi-entity or professional services environments is advantageous.
- Exposure to data governance tooling or AI-enablement use cases is beneficial.
- Strong hands-on capability with SQL, Python, ETL/ELT pipelines and data modelling.
- Solid experience across Azure data services, Microsoft Fabric, Databricks and Power BI.
- Ability to engage senior stakeholders, shape direction and influence decision-making.
- Strong understanding of data governance, security and quality frameworks.
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Data Platform Lead/Head of Data - 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.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Lead/Head of Data - Manchester
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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 Investigo.
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We think you need these skills to ace Data Platform Lead/Head of Data - Manchester
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.
