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 72000 - 84000 £ 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
Network with professionals in the investment management sector. Attend industry meetups or webinars to connect with data engineers and leaders who can provide insights into the company culture and expectations.
✨Tip Number 2
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 3
Familiarise yourself with the latest trends in data engineering, especially within financial services. Being able to discuss current technologies and methodologies will demonstrate your commitment to staying ahead in the field.
✨Tip Number 4
Prepare to discuss your experience with the Microsoft stack, particularly Azure and SQL Server. Highlight any projects where you've successfully implemented data lakes or warehouses, as this aligns closely with the role's requirements.
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 Skills: Since this role involves leading and mentoring a team, include examples of your leadership experience. Highlight any instances where you successfully managed a technical team or drove projects to completion.
Highlight Relevant Projects: If you have worked on projects involving data lakes, warehouses, or pipelines, be sure to mention these. Detail your role in these projects and the impact they had on the organisation's data capabilities.
How to prepare for a job interview at OFS
✨Showcase Your Technical Expertise
Be prepared to discuss your extensive background in data engineering, especially within financial services. Highlight specific projects where you've implemented data strategies or built modern data stacks, and be ready to dive into technical details about SQL, Python, and the Microsoft stack.
✨Demonstrate Leadership Skills
Since this role involves leading a team, it's crucial to showcase your leadership experience. Share examples of how you've mentored or managed a technical team, focusing on your approach to fostering innovation and collaboration within the group.
✨Understand the Company's Data Needs
Research the firm’s current data infrastructure and their specific needs. Be ready to discuss how you can enhance their capabilities and align your vision for data strategy with their goals. This shows that you're proactive and genuinely interested in the role.
✨Prepare Questions for the Interviewers
Have insightful questions ready to ask the interviewers about their data challenges and future projects. This not only demonstrates your interest in the position but also gives you a chance to assess if the company aligns with your career aspirations.