At a Glance
- Tasks: Lead a squad of 47 Data Engineers to deliver modern data solutions.
- Company: A leading Financial Services client in London with a focus on data transformation.
- Benefits: Competitive salary of £85,000, strong benefits, and flexible hybrid/remote working.
- Other info: Exciting opportunity for career growth in a dynamic financial services environment.
- Why this job: Join a forward-thinking team and make a real impact in data engineering.
- Qualifications: Proven experience in data engineering, SQL, and cloud technologies, preferably Azure.
The predicted salary is between 68000 - 102000 € per year.
A leading Financial Services client in London is undergoing a major data transformation and is hiring a Data Engineering Manager on a permanent basis. The role offers a base of £85,000, strong benefits, and flexible hybrid/remote working.
We are looking for a hands-on leader from a forward-thinking, modern data environment with a strong foundation in Data Engineering and experience managing a squad of 47 Data Engineers. You will bring solid SQL skills, cloud expertise (preferably Azure), and familiarity with tools such as Snowflake, Databricks, ADF, Python, and GenAI.
You will manage a squad of engineers and play a key role in delivering scalable, modern data solutions as part of a group-wide transformation.
Requirements:- Proven experience in fast-paced environments working with modern data architectures and tooling; Financial Services experience is a plus.
- Experience managing Data Engineering teams.
- Strong SQL and cloud skills (Azure preferred).
- Familiar with modern data tools (e.g. Snowflake, Databricks, ADF, Python).
- Track record of building/maintaining robust data pipelines.
- Agile experience.
- Financial Services experience is a bonus.
If you are an experienced Data Engineering Manager with the required skills, please respond with an up-to-date version of your CV for review.
Data Engineering Manager in City of London employer: Mccabe & Barton
Join a leading Financial Services firm in London that champions innovation and employee development. With a strong focus on flexible hybrid working, competitive benefits, and a collaborative culture, this company empowers its Data Engineering Manager to lead a talented team in driving transformative data solutions. Here, you will find ample opportunities for professional growth in a dynamic environment that values forward-thinking approaches and modern technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Manager in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector and let them know you're on the hunt for a Data Engineering Manager role. You never know who might have the inside scoop on openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! When you get the chance to chat with potential employers, be ready to discuss your hands-on experience with SQL, Azure, and modern data tools like Snowflake and Databricks. Bring examples of how you've led teams and delivered scalable data solutions.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of agile methodologies and be ready to talk about your experience managing data engineering teams. Think about challenges you've faced and how you overcame them—this will show you're the right fit for a fast-paced environment.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to submit your CV and get noticed by hiring managers. Plus, it shows you're serious about landing that Data Engineering Manager position with us.
We think you need these skills to ace Data Engineering Manager in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineering Manager role. Highlight your experience with SQL, cloud technologies like Azure, and any relevant tools such as Snowflake or Databricks. We want to see how your background aligns with what we're looking for!
Showcase Leadership Skills:Since this role involves managing a squad of 47 Data Engineers, it's crucial to showcase your leadership experience. Share examples of how you've led teams in fast-paced environments and delivered successful data solutions. We love seeing those hands-on leadership vibes!
Be Clear and Concise:When writing your application, keep it clear and concise. Use bullet points where possible to make your skills and experiences stand out. We appreciate straightforward communication that gets to the point—just like we do at StudySmarter!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Mccabe & Barton
✨Know Your Data Tools
Make sure you brush up on your knowledge of SQL, Azure, Snowflake, and Databricks. Be ready to discuss how you've used these tools in past projects, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Leadership Skills
As a Data Engineering Manager, you'll be leading a squad of engineers. Prepare examples that highlight your leadership style, how you manage teams, and how you foster collaboration and innovation within your squad.
✨Understand the Financial Services Landscape
If you have experience in Financial Services, be sure to mention it! If not, do some research on current trends and challenges in the industry. This will show your potential employer that you're proactive and understand the context of the role.
✨Prepare for Agile Discussions
Since Agile experience is mentioned in the job description, be ready to talk about your experience with Agile methodologies. Think of specific examples where you've implemented Agile practices in your team or projects.
