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- Tasks: Lead a team to design and maintain data pipelines in a dynamic environment.
- Company: Join a top Financial Services firm in the heart of London.
- Benefits: Enjoy a competitive salary, strong benefits, and flexible working options.
- Why this job: Be part of an innovative team solving complex data challenges in a fast-paced setting.
- Qualifications: Experience in data engineering, SQL, and cloud technologies like Azure is essential.
- Other info: Ideal for creative problem solvers with a passion for data.
The predicted salary is between 51000 - 119000 £ per year.
A leading Financial Services client in the City of London is now seeking an experienced Data Engineering Manager to join on a permanent basis. This role is offering a base of £85,000 a strong benefits package and flexible working. The ideal Data Engineering Manager will come from a data engineering background and have strong knowledge in SQL, Snowflake, Microsoft Azure, Azure Data Factory and Azure DevOps. The Engineering Manager will design, improve and maintain robust data pipelines within data architecture. To be considered for this role you will need the following: Experience designing, improving and maintaining robust data pipelines Strong SQL programming skills. Knowledge of other programming languages such as Python, C++ and Java beneficial Possesses a strong understanding of Snowflake – beneficial Experience managing small teams of Data Engineers Strong experience working in a cloud environment and knowledge in the following very beneficial: Microsoft Azure, Azure Data Factory and Azure DevOps Experience working in fast-paced Agile environments Creativity and curiosity for solving complex problems. 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.41bf1e1f-b16b-4260-a40a-17c77a06fd15
Data Engineering Manager employer: McCabe & Barton
Contact Detail:
McCabe & Barton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager
✨Tip Number 1
Network with professionals in the financial services sector, especially those who work with data engineering. Attend industry meetups or webinars to connect with potential colleagues and learn more about the company culture.
✨Tip Number 2
Familiarise yourself with the latest trends and technologies in data engineering, particularly around SQL, Snowflake, and Azure. This will not only boost your confidence but also help you engage in meaningful conversations during interviews.
✨Tip Number 3
Prepare to discuss your experience managing teams and projects in an Agile environment. Be ready to share specific examples of how you've led teams to success and tackled complex problems.
✨Tip Number 4
Showcase your creativity and curiosity by thinking of innovative solutions to common data engineering challenges. Bring these ideas to the interview to demonstrate your problem-solving skills and passion for the field.
We think you need these skills to ace Data Engineering Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, particularly with SQL, Snowflake, and Microsoft Azure. Use specific examples to demonstrate your skills in designing and maintaining data pipelines.
Showcase Leadership Experience: Since the role involves managing a team, emphasise any previous leadership or team management experience you have. Include details about how you led projects or mentored junior engineers.
Highlight Relevant Skills: In your application, clearly outline your proficiency in programming languages like Python, C++, and Java, as well as your experience with Azure Data Factory and Azure DevOps. This will show that you meet the job requirements.
Express Problem-Solving Abilities: Demonstrate your creativity and curiosity in solving complex problems. You could include a brief example of a challenging project you worked on and how you approached it, which aligns with the company's fast-paced Agile environment.
How to prepare for a job interview at McCabe & Barton
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Snowflake, and Azure in detail. Bring examples of how you've designed and maintained data pipelines, as this will demonstrate your technical expertise and problem-solving abilities.
✨Highlight Team Management Experience
Since the role involves managing a small team, be ready to share your experiences in leading teams. Discuss your management style, how you motivate your team, and any successful projects you've overseen.
✨Demonstrate Your Agile Knowledge
Familiarise yourself with Agile methodologies, as the company values experience in fast-paced environments. Be prepared to discuss how you've applied Agile principles in your previous roles and how it has benefited your projects.
✨Prepare for Problem-Solving Questions
Expect questions that assess your creativity and curiosity in solving complex problems. Think of specific challenges you've faced in data engineering and how you approached them, as this will showcase your analytical skills.
