At a Glance
- Tasks: Lead a team to design and deliver scalable data systems for analytics.
- Company: Tech-focused company in Edinburgh with a strong emphasis on innovation.
- Benefits: Competitive salary, flexible work hours, and an excellent benefits package.
- Why this job: Make a real impact by guiding a high-performing team in data engineering.
- Qualifications: Experience in data engineering and team leadership required.
- Other info: Collaborative environment with opportunities for mentorship and growth.
The predicted salary is between 70000 - 90000 £ per year.
A tech-focused company in Edinburgh is looking for an experienced Data Engineering Manager to lead a high-performing team. In this role, you will guide the design and delivery of scalable data systems that support analytics and decision-making. You are expected to collaborate with cross-functional teams, mentor engineers, and ensure best practices in data quality.
The position offers a competitive salary between £70k - £90k, flexible work hours, and a great benefits package.
Data Engineering Manager — Lead Scalable Data Platforms in Edinburgh employer: Cathcart Technology
Contact Detail:
Cathcart Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager — Lead Scalable Data Platforms in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a new role. You never know who might have the inside scoop on openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects and achievements in data engineering. This will give potential employers a clear picture of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios and challenges. Practice articulating how you've led teams and delivered scalable data systems in the past—this is your chance to shine!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Data Engineering Manager — Lead Scalable Data Platforms in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in leading data engineering teams and designing scalable data systems. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. We love hearing personal stories that connect your experience to our mission.
Showcase Your Technical Skills: Don’t forget to mention the specific technologies and tools you’ve worked with. We’re looking for someone who’s not just a manager but also has hands-on experience with data platforms. Be specific about your expertise!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy and straightforward!
How to prepare for a job interview at Cathcart Technology
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest data engineering trends and technologies. Brush up on scalable data systems, as you'll need to demonstrate your expertise in designing and delivering these solutions during the interview.
✨Showcase Your Leadership Skills
As a Data Engineering Manager, you’ll be leading a team. Prepare examples of how you've successfully mentored engineers and fostered collaboration within cross-functional teams. Highlight specific instances where your leadership made a difference.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and knowledge of data quality best practices. Practise articulating your thought process clearly, as this will show your analytical capabilities and how you approach challenges.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s data strategy and culture. Inquire about their current projects or challenges they face in data management, which will demonstrate your enthusiasm and strategic thinking.