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- Tasks: Lead the transformation to a data-first approach, managing a Data Engineering team.
- Company: Join a global Private Equity firm focused on modernising their data strategy.
- Benefits: Enjoy competitive pay, career growth opportunities, and a dynamic work environment.
- Why this job: Be part of an exciting data transformation that drives business growth and innovation.
- Qualifications: Experience in data engineering, Azure, Python, and managing high-performing teams required.
- Other info: Ideal for data enthusiasts passionate about making a positive impact through good data.
The predicted salary is between 72000 - 108000 £ per year.
A global Private Equity firm are seeking an experienced Head of Data Engineering as part of a critical data transformation and modernisation programme, moving towards a data-first approach. They are currently in the process of replacing a legacy data-warehouse setup with a platform as a service model using Databricks hosted on Azure, which this role will be responsible for leading, taking line management responsibilities for their Data Engineering team.
You will take ownership for progressing their Databricks setup, from its current PoC/incubator phase through to production, ensuring a high level of optimisation and scalability to operate at a global scale. This will also involve implementing a semantic layer within the platform for effective data management and organisation, as well as the development of associated data pipelines and real-time reporting & visualisation capabilities.
Once the platform is in place, the business will then look to apply Data Science techniques with the aim of building a best-in-class data function that works in partnership with the Investment Team and actively provides deep, actionable insights to enable business growth.
The ideal candidate will demonstrate:
- A technical background in data engineering with experience of technologies including Python, Spark, Databricks and Azure cloud.
- Previous experience in managing the end-to-end build of an Azure Databricks platform.
- Passionate about all aspects of data (data governance, data quality management etc.) and the positive impact ‘good data’ can bring to a business.
- Demonstrable experience in setting up and managing high-performing technology teams, establishing and driving best practices and being able to still engage at a technical level.
- Able to credibly and confidently engage with the business at all levels.
- A background in Financial Services (Private Markets, Investment Banking, Investment Management) or similarly regulated industry such as Gambling/Online Gaming is critical.
If you are a data enthusiast with experience in leading high-performing teams to develop modern data platforms, then this is a genuinely exciting time to join a growing business transitioning to a data-first approach.
Contact Detail:
Cornwallis Elt Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Engineering
✨Tip Number 1
Familiarise yourself with Databricks and Azure by exploring their documentation and online resources. Understanding the specific features and capabilities of these platforms will help you speak confidently about how you can lead the data transformation process.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who have experience in financial services or similar industries. Engaging in conversations about best practices and challenges can provide valuable insights that you can reference during interviews.
✨Tip Number 3
Prepare to discuss your leadership style and experiences in managing high-performing teams. Be ready to share specific examples of how you've driven best practices and optimised data processes in previous roles.
✨Tip Number 4
Stay updated on the latest trends in data governance and quality management. Being knowledgeable about current challenges and solutions in these areas will demonstrate your passion for 'good data' and its impact on business growth.
We think you need these skills to ace Head of Data Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, Azure, and data engineering. Emphasise your leadership roles and any relevant projects that showcase your ability to manage teams and drive data transformation.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and how it can positively impact business growth. Mention specific examples of your previous work in data governance and management, and how you have successfully led teams in similar environments.
Showcase Technical Skills: Clearly outline your technical skills related to Python, Spark, and ETL processes. Provide examples of how you've implemented these technologies in past roles, particularly in building data platforms or pipelines.
Highlight Relevant Experience: If you have a background in Financial Services or regulated industries, make sure to highlight this experience. Discuss how your knowledge of these sectors can contribute to the company's goals and your understanding of their data needs.
How to prepare for a job interview at Cornwallis Elt
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Databricks, Azure, and Python in detail. Highlight specific projects where you've successfully implemented data pipelines or optimised data processes, as this will demonstrate your hands-on knowledge and ability to lead the team effectively.
✨Demonstrate Leadership Skills
Since this role involves managing a team, be ready to share examples of how you've built and led high-performing teams in the past. Discuss your approach to fostering collaboration and driving best practices within your team, as well as how you engage with stakeholders at all levels.
✨Understand the Business Context
Research the company and its position within the Private Equity sector. Be prepared to discuss how a data-first approach can drive business growth and provide actionable insights, showing that you understand the strategic importance of data in their operations.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about challenges you've faced in previous roles, particularly related to data governance and quality management, and how you overcame them. This will help illustrate your critical thinking and adaptability.
