Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team of data engineers to build and maintain data pipelines.
- Company: Join a top financial services organisation with a strong focus on data solutions.
- Benefits: Enjoy almost fully remote work with quarterly workshops and collaborative culture.
- Why this job: Be part of a high-performing team in an ambitious, cloud-based environment.
- Qualifications: Strong data engineering background and experience in managing teams required.
- Other info: Work with cutting-edge technologies like Snowflake and Azure.
The predicted salary is between 54000 - 84000 £ per year.
Our client, a leading financial services organisation, is looking for a Data Solutions Manager to lead a small team of experienced data engineers. You will be joining a fast growing team who are responsible for delivering, improving and maintaining robust data pipelines within an ambitious data architecture. Our client has already fully transitioned to cloud, there is a mature platform in place, and you will be joining a high performing, proactive, and collaborative team.
To be successful in this role, you will need the following experience:
- Strong hands-on data engineering experience
- Previous experience managing and mentoring data engineering teams
- Significant experience working with Snowflake, Azure, Data Factory and Azure DevOps
- Strong communication and stakeholder management skills
This role is almost fully remote, with quarterly workshop visits to the clients office in the South East.
Data Engineering Team Lead employer: McCabe & Barton
Contact Detail:
McCabe & Barton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Team Lead
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Snowflake and Azure. Consider taking online courses or certifications to deepen your knowledge and demonstrate your commitment to mastering these technologies.
✨Tip Number 2
Highlight your leadership experience by preparing examples of how you've successfully managed and mentored teams in the past. Be ready to discuss your approach to fostering collaboration and driving performance within a data engineering context.
✨Tip Number 3
Since this role involves significant stakeholder management, think about instances where you've effectively communicated complex data solutions to non-technical audiences. Prepare to share these experiences during discussions to showcase your communication skills.
✨Tip Number 4
Research the company culture and values of the financial services organisation you're applying to. Tailor your conversations to reflect how your personal values align with theirs, especially regarding teamwork and innovation in data solutions.
We think you need these skills to ace Data Engineering Team Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on data engineering experience and any previous management roles. Emphasise your familiarity with Snowflake, Azure, Data Factory, and Azure DevOps, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, showcase your leadership skills and experience in mentoring data engineering teams. Mention specific projects where you improved data pipelines or contributed to a collaborative team environment.
Highlight Communication Skills: Since strong communication and stakeholder management skills are essential, provide examples in your application of how you've successfully managed stakeholders or communicated complex data solutions to non-technical audiences.
Show Enthusiasm for Remote Work: As this role is almost fully remote, express your enthusiasm for remote work and your ability to thrive in a virtual team setting. Mention any relevant experience you have in remote collaboration or managing distributed teams.
How to prepare for a job interview at McCabe & Barton
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with data engineering tools, especially Snowflake, Azure, and Data Factory. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your capability to lead a team effectively.
✨Emphasise Leadership Experience
Since the role involves managing and mentoring a team, share examples of how you've led teams in the past. Discuss your approach to mentoring and how you foster collaboration within your team, as this will be crucial for the hiring manager.
✨Prepare for Stakeholder Management Questions
Strong communication skills are essential for this position. Be ready to provide examples of how you've managed stakeholder expectations and communicated complex data solutions to non-technical audiences. This will show your ability to bridge the gap between technical and business needs.
✨Understand the Company Culture
Research the company's values and culture, especially their focus on collaboration and proactivity. During the interview, align your answers to reflect how you embody these values and how you can contribute to their high-performing team environment.
