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For Companies At a Glance
- Tasks: Lead a data team, implement strategy, and build a modern data stack.
- Company: Join a well-established investment management firm in London.
- Benefits: Enjoy hybrid work options and a competitive salary with bonuses.
- Why this job: Shape the future of data technology in a dynamic environment.
- Qualifications: Experience in data engineering, leadership, SQL, and Python required.
- Other info: Opportunity to mentor and grow a talented team.
The predicted salary is between 84000 - 120000 £ per year.
A hands-on Lead Data Engineer role within an established investment management firm, where you will take ownership of a new data team and drive innovation in data technology. You will be responsible for defining and implementing data strategy and architecture, building a modern data stack, and leading a team of data professionals to enhance the firm’s capabilities.
Responsibilities
- Implement data strategy and architecture
- Build and maintain a modern data stack, including data lakes, warehouses, and pipelines for data ingestion and processing
- Ensure the data infrastructure meets the requirements of data science and analytics teams
- Lead and mentor a growing team of data professionals
Key Experience
- Extensive background in data engineering roles, ideally within financial services
- Previous experience leading or managing a technical data team
- Strong proficiency in SQL and Python (Pandas, NumPy, etc.)
- Experience with the Microsoft stack including Azure and SQL Server, as well as SSIS, SSRS, and SSAS
This is an excellent opportunity to lead a data function within a well-established firm, shaping its data strategy and future direction.
Lead Data Engineer employer: OFS
Contact Detail:
OFS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in data engineering, especially within the investment management sector. Understanding how firms are leveraging data technology can give you an edge in discussions during interviews.
✨Tip Number 2
Network with professionals in the investment management and data engineering fields. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences, which can provide valuable insights for your application.
✨Tip Number 3
Showcase your leadership skills by discussing any previous experience where you led a team or project. Be prepared to share specific examples of how you mentored others and drove innovation in data technology.
✨Tip Number 4
Brush up on your technical skills, particularly in SQL and Python, as well as familiarity with the Microsoft stack. Consider working on personal projects or contributing to open-source initiatives to demonstrate your expertise and passion for data engineering.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive background in data engineering, particularly within financial services. Emphasise your experience with SQL, Python, and any relevant tools from the Microsoft stack.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for leading a data team and driving innovation in data technology. Mention specific examples of how you've implemented data strategies or built modern data stacks in previous roles.
Showcase Leadership Experience: Clearly outline your previous experience in leading or managing technical data teams. Provide examples of how you have mentored team members and contributed to their professional growth.
Highlight Relevant Projects: Include details about any significant projects you've worked on that involved building data lakes, warehouses, or pipelines. This will demonstrate your hands-on experience and ability to meet the requirements of data science and analytics teams.
How to prepare for a job interview at OFS
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in SQL and Python, especially with libraries like Pandas and NumPy. You might be asked to solve a technical problem or explain how you've used these skills in previous roles.
✨Demonstrate Leadership Experience
Since this role involves leading a team, share specific examples of how you've successfully managed or mentored data professionals in the past. Highlight any challenges you faced and how you overcame them.
✨Understand the Investment Management Sector
Familiarise yourself with the investment management industry and its data needs. Being able to discuss how data strategy impacts decision-making in this sector will show your genuine interest and understanding of the role.
✨Prepare Questions About Data Strategy
Think of insightful questions regarding the company's current data architecture and future plans. This not only shows your enthusiasm for the role but also your strategic thinking about how to enhance their data capabilities.
