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- Tasks: Lead data engineering projects and mentor a team of experts.
- Company: Join a top consultancy focused on data science and AI-driven solutions.
- Benefits: Enjoy hybrid work, private healthcare, and a 20% performance bonus.
- Why this job: Be part of an innovative culture that drives real business impact.
- Qualifications: 5+ years in data engineering with skills in Python, SQL, and Azure.
- Other info: Work with global brands and access unique training programs.
The predicted salary is between 56000 - 84000 £ per year.
Data Engineering Manager
Location: London (Hybrid – 2 days in the office)
Salary: £70,000 – £90,000 + 20% Bonus
A leading data science and AI-driven consultancy is seeking a Data Engineering Manager to lead large-scale digital transformations, develop advanced analytics solutions, and mentor a team of data experts. This is an opportunity to play a key role in a dynamic and innovative environment where technical and strategic expertise will drive business impact.
Responsibilities
- Lead the design, development, and implementation of scalable data pipelines.
- Manage end-to-end data engineering projects, from strategy to execution.
- Collaborate with senior engineers and data scientists to drive innovation.
- Guide and mentor junior team members, fostering technical growth.
- Consult with clients and present data-driven insights to senior executives.
- Shape and scope new projects, ensuring alignment with business goals.
Requirements
- At least five years of experience in data engineering, ideally in a client-facing or consulting role.
- Proficiency in Python, SQL, Spark, Azure Cloud, and Databricks.
- Strong expertise in ETL solutions, Data Management, Analytics Architecture, and Governance.
- Ability to bridge technical solutions with business strategy.
- Excellent communication and stakeholder management skills.
- Experience in mentorship, collaboration, and project leadership.
What the Role Offers
- A culture of innovation, collaboration, and professional growth.
- Opportunities to work with leading global brands across diverse industries.
- Unique training programs and support for professional certifications.
- Hybrid working model with the option to work remotely up to 20 days per year.
- Comprehensive benefits, including private healthcare, life insurance, and pension scheme.
- 20% performance-based bonus.
Data Engineering Manager employer: TechNET IT Recruitment Ltd
Contact Detail:
TechNET IT Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager
✨Tip Number 1
Make sure to showcase your experience in leading data engineering projects. Highlight specific examples where you've managed end-to-end processes, as this aligns perfectly with the responsibilities of the role.
✨Tip Number 2
Demonstrate your technical skills in Python, SQL, Spark, and Azure Cloud during the interview. Be prepared to discuss how you've used these technologies in previous roles to drive innovation and solve complex problems.
✨Tip Number 3
Emphasize your mentorship experience. Share stories about how you've guided junior team members and contributed to their professional growth, as this is a key aspect of the position.
✨Tip Number 4
Prepare to discuss your approach to stakeholder management. Be ready to explain how you've effectively communicated data-driven insights to senior executives and aligned projects with business goals.
We think you need these skills to ace Data Engineering Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly in client-facing roles. Emphasize your proficiency in Python, SQL, Spark, Azure Cloud, and Databricks, as well as your leadership and mentorship skills.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your background aligns with the responsibilities of the role. Mention specific projects where you led data transformations or mentored team members to showcase your leadership capabilities.
Showcase Your Technical Skills: Include examples of your work with ETL solutions, Data Management, and Analytics Architecture. If possible, provide metrics or outcomes from projects you've managed to demonstrate your impact on business goals.
Prepare for Interviews: Be ready to discuss your experience in detail, especially your approach to managing data engineering projects and collaborating with teams. Prepare to present data-driven insights and how you would consult with clients effectively.
How to prepare for a job interview at TechNET IT Recruitment Ltd
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Python, SQL, Spark, and Azure Cloud. Highlight specific projects where you implemented scalable data pipelines or advanced analytics solutions, as this will demonstrate your technical proficiency.
✨Emphasize Leadership and Mentorship
Since the role involves guiding and mentoring junior team members, share examples of how you've successfully led teams in the past. Discuss your approach to fostering growth and collaboration within a team setting.
✨Align with Business Strategy
Demonstrate your ability to connect technical solutions with business goals. Prepare to discuss how you've shaped project scopes in previous roles to ensure alignment with client objectives and drive business impact.
✨Prepare for Client Interaction Scenarios
As the role involves consulting with clients and presenting insights to senior executives, practice articulating complex data concepts in a clear and concise manner. Be ready to discuss how you've effectively communicated data-driven insights in past experiences.
