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- Tasks: Lead the transformation to a data-first approach and manage the Data Engineering team.
- Company: Join a global Private Equity firm focused on modernising their data strategy.
- Benefits: Enjoy opportunities for career growth and work in a dynamic, innovative environment.
- Why this job: Be part of a critical data transformation that drives business growth and insights.
- Qualifications: Experience in data engineering, Python, Azure, and a background in Financial Services is essential.
- Other info: This role offers a chance to shape a best-in-class data function.
The predicted salary is between 43200 - 72000 £ 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.
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.
A technical background in data engineering with experience of technologies including Python, Spark, Databricks and Azure cloud is required. Passion for all aspects of data (data governance, data quality management etc.) and the positive impact ‘good data’ can bring to a business is essential.
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.
From Data Engineer to Head of Data Engineering employer: Cornwallis Elt
Contact Detail:
Cornwallis Elt Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land From Data Engineer to Head of Data Engineering
✨Tip Number 1
Familiarise yourself with Databricks and Azure, as these are key technologies for the role. Consider taking online courses or certifications to deepen your understanding and demonstrate your commitment to mastering these platforms.
✨Tip Number 2
Showcase your leadership skills by discussing any previous experience managing teams or projects. Prepare examples of how you've successfully led data engineering initiatives or transformed data processes in your past roles.
✨Tip Number 3
Network with professionals in the financial services sector, particularly those involved in data engineering. Attend industry events or join relevant online forums to connect with potential colleagues and gain insights into the specific challenges they face.
✨Tip Number 4
Stay updated on the latest trends in data governance and data quality management. Being knowledgeable about these topics will not only enhance your expertise but also show your passion for the positive impact of good data on business growth.
We think you need these skills to ace From Data Engineer to Head of Data Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, Azure, and Python. Emphasise your leadership roles and any relevant projects that showcase your ability to manage data engineering teams and implement data strategies.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and how it can drive business growth. Mention specific examples of how you've successfully led data transformation projects in the past, particularly in financial services or regulated industries.
Showcase Technical Skills: Clearly outline your technical skills related to data engineering, such as ETL processes, data pipelines, and real-time reporting. Use bullet points to make this information easy to read and ensure it aligns with the job requirements.
Highlight Relevant Experience: Detail your experience in managing high-performing teams and developing modern data platforms. Include metrics or outcomes from your previous roles to demonstrate your impact and effectiveness in similar positions.
How to prepare for a job interview at Cornwallis Elt
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Databricks, Azure, Python, and ETL processes. Highlight specific projects where you've successfully implemented data pipelines or led data transformation initiatives.
✨Demonstrate Leadership Skills
As this role involves managing a team, be ready to share examples of how you've led high-performing teams in the past. Discuss your approach to mentoring and developing talent within your team.
✨Understand Data Governance and Quality
Express your passion for data governance and quality management. Be prepared to discuss how you have ensured data integrity and compliance in previous roles, especially in regulated industries like Financial Services.
✨Align with Business Goals
Research the company’s objectives and be ready to explain how your data strategy can support their business growth. Discuss how you can leverage data insights to drive decision-making and enhance collaboration with the Investment Team.
