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- 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: Experience in managing data engineering teams and expertise in Snowflake and Azure.
- Other info: Opportunity for mentorship and professional growth in a proactive setting.
The predicted salary is between 48000 - 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:
- 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: JR United Kingdom
Contact Detail:
JR United Kingdom 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 technologies mentioned in the job description, such as Snowflake and Azure. Having hands-on experience or relevant projects to discuss can really set you apart during interviews.
✨Tip Number 2
Showcase your leadership skills 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 team.
✨Tip Number 3
Research the company culture and values of the financial services organisation. Understanding their mission and how they operate will help you align your responses during interviews and demonstrate your enthusiasm for joining their team.
✨Tip Number 4
Prepare to discuss your stakeholder management experience. Think of specific instances where you've effectively communicated with various stakeholders, as this is crucial for the role and will highlight your ability to navigate complex environments.
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 experience in managing and mentoring data engineering teams. 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 strong communication and stakeholder management skills. Provide specific examples of how you've successfully led teams and delivered data solutions in previous roles.
Highlight Relevant Projects: Include details about any relevant projects you've worked on that involved building or maintaining data pipelines. This will demonstrate your hands-on experience and understanding of ambitious data architectures.
Prepare for Interviews: If invited for an interview, be ready to discuss your leadership style and how you foster collaboration within a team. Prepare to answer questions about your technical expertise and how it aligns with the company's goals.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Leadership Skills
As a Data Engineering Team Lead, it's crucial to demonstrate your ability to manage and mentor a team. Prepare examples of how you've successfully led teams in the past, focusing on your approach to fostering collaboration and driving performance.
✨Highlight Technical Expertise
Make sure to discuss your significant experience with Snowflake, Azure, Data Factory, and Azure DevOps. Be ready to provide specific examples of projects where you utilised these technologies, showcasing your technical prowess and problem-solving skills.
✨Emphasise Communication Skills
Strong communication and stakeholder management skills are essential for this role. Prepare to discuss how you've effectively communicated complex data concepts to non-technical stakeholders and how you've managed expectations in previous roles.
✨Prepare for Remote Work Dynamics
Since the role is almost fully remote, be prepared to discuss your experience working in remote teams. Highlight your strategies for maintaining productivity and collaboration in a virtual environment, as well as your willingness to engage during quarterly workshops.
