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For Companies At a Glance
- Tasks: Lead data engineering projects and build scalable data pipelines.
- Company: Join a global team at Robert Walters, a leader in recruitment.
- Benefits: Enjoy hybrid work, competitive salary, and career progression opportunities.
- Why this job: Be part of a data-driven culture with a focus on innovation and AI/ML.
- Qualifications: Strong SQL, Python/Java/Scala skills, and cloud platform experience required.
- Other info: This is a senior management role with a focus on strategic data roadmap.
The predicted salary is between 75000 - 80000 £ per year.
The Data Lead will build and lead the organisation's data engineering capability, ensuring a scalable, cost-effective platform that supports the company’s ambition to be data-led. Initially, the role will focus on transforming the existing data warehouse into a GCP based analytics platform, integrating system and client APIs, and preparing for AI/ML adoption.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL processes.
- Collaborate with data scientists and analysts to optimise data usage.
- Monitor, troubleshoot, and optimise data infrastructure for performance and cost.
- Ensure data security, compliance, and proper documentation.
- Stay updated on industry trends and emerging technologies.
Role Requirements
- Strong SQL skills and experience with database management systems.
- Proficiency in Python, Java, or Scala.
- Familiarity with cloud platforms (GCP Preferred).
- Experience with API development, CI/CD, and workflow management tools.
- Strong problem-solving, communication, and collaboration skills.
Reporting & Working Style
- Reports to the Head of Data and Analytics.
- Hybrid role with remote work and occasional UK site visits (2-3 days per week).
- Responsible for delivering a strategic data roadmap and ensuring smooth IT integration.
Data Engineering Manager employer: Robert Walters UK
Contact Detail:
Robert Walters UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager
✨Tip Number 1
Network with professionals in the data engineering field, especially those who have experience with GCP. Attend local meetups or online webinars to connect with potential colleagues and learn about industry trends.
✨Tip Number 2
Showcase your technical skills by contributing to open-source projects or creating your own projects that demonstrate your proficiency in SQL, Python, and cloud platforms. This hands-on experience can set you apart from other candidates.
✨Tip Number 3
Prepare for interviews by familiarising yourself with common data engineering challenges and solutions, particularly around ETL processes and API development. Being able to discuss these topics confidently will impress interviewers.
✨Tip Number 4
Research StudySmarter’s current data initiatives and be ready to discuss how your experience aligns with their goals. Tailoring your conversation to their specific needs shows genuine interest and can make a strong impression.
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 with data engineering, particularly in building scalable data pipelines and ETL processes. Emphasise your proficiency in SQL, Python, Java, or Scala, as well as any relevant cloud platform experience, especially with GCP.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills align with the responsibilities outlined in the job description, such as collaborating with data scientists and optimising data usage.
Showcase Relevant Projects: If you have worked on projects that involved API development, CI/CD, or workflow management tools, be sure to include these in your application. Provide specific examples of how you contributed to the success of these projects.
Highlight Soft Skills: The role requires strong problem-solving, communication, and collaboration skills. Use your application to demonstrate these abilities through examples from your previous work experiences, showing how you effectively worked within teams or solved complex issues.
How to prepare for a job interview at Robert Walters UK
✨Showcase Your Technical Skills
Make sure to highlight your strong SQL skills and experience with database management systems during the interview. Be prepared to discuss specific projects where you've designed, developed, or maintained data pipelines and ETL processes.
✨Demonstrate Collaboration Experience
Since the role involves working closely with data scientists and analysts, share examples of how you've successfully collaborated in the past. Discuss any challenges you faced and how you overcame them to optimise data usage.
✨Stay Updated on Industry Trends
Research the latest trends in data engineering, especially regarding GCP and AI/ML adoption. Being knowledgeable about emerging technologies will show your commitment to staying ahead in the field and your readiness to lead the organisation's data engineering capability.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, particularly related to monitoring and optimising data infrastructure. Prepare to discuss specific scenarios where you've successfully troubleshot issues and improved performance or cost efficiency.
