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- Tasks: Lead data engineering projects and mentor a team while coding in Python and SQL.
- Company: Join one of the UK's largest and most innovative parcel delivery organisations.
- Benefits: Enjoy flexible working, up to 15% bonus, and 26 days holiday plus bank holidays.
- Why this job: Shape the future of logistics with cutting-edge tech and a supportive culture.
- Qualifications: 8+ years in data engineering with leadership experience and expert knowledge of Databricks.
- Other info: Work from anywhere globally for up to 90 days per year.
The predicted salary is between 55000 - 84000 £ per year.
Leading UK Logistics Organisation
Hybrid Working | £66,000 - £70,000 + Bonus
We're looking for an exceptional Lead Data Engineer to join one of the UK's largest and most innovative parcel delivery organisations. This is a unique opportunity to combine technical leadership with hands-on development, working with cutting-edge technologies to shape the future of logistics.
What You'll Do:
- Lead the technical direction of our Databricks Common Data Platform
- Drive hands-on development with high-quality Python and SQL code
- Mentor and coach a distributed team of data engineers
- Champion CI/CD and automated testing best practices
- Collaborate with cross-functional teams to align with Evri's data strategy
- Maintain system resilience and accurate documentation
- Identify and implement cost optimisation strategies
- Establish data governance frameworks for secure data handling
- Support developer interviews and contribute to team growth
- Work closely with the Head of Data Engineering to align with strategic goals
Must-Have Experience:
- 8+ years in data engineering, including leadership experience
- Expert-level knowledge of the Databricks platform
- Advanced Python development for logistics and delivery optimisation
- Mastery of SQL for large-scale, nationwide operations
- Strong understanding of data modelling for parcel tracking systems
- Experience with both streaming and batch Spark workloads
- Proven ability to lead distributed teams in a hybrid environment
What We're Offering:
- Flexible working arrangements and patterns
- Up to 15% bonus potential
- 26 days holiday + bank holidays (with buy/sell options)
- Comprehensive pension scheme (3% employer contribution)
- Work from anywhere globally for up to 90 days per year
- Career progression framework and development support
- Discounts from major clients and flexible benefits options
To discuss this exciting opportunity in more detail, please APPLY NOW for a no-obligation chat with your VIQU Consultant.
Data Engineering Manager employer: VIQU Ltd
Contact Detail:
VIQU Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager
✨Tip Number 1
Familiarise yourself with the Databricks platform, as it's a key requirement for this role. Consider taking online courses or tutorials to deepen your understanding and showcase your expertise during discussions.
✨Tip Number 2
Brush up on your Python and SQL skills, particularly in the context of logistics and delivery optimisation. Being able to discuss specific projects where you've applied these skills will set you apart from other candidates.
✨Tip Number 3
Prepare examples of how you've successfully led distributed teams in a hybrid environment. Highlight your leadership style and how you've mentored team members to achieve their goals.
✨Tip Number 4
Understand the importance of CI/CD and automated testing in data engineering. Be ready to discuss how you've implemented these practices in previous roles to improve efficiency and reliability.
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 your leadership roles and expertise with Databricks, Python, and SQL. Use specific examples that demonstrate your ability to lead teams and manage projects.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for logistics and data engineering. Mention how your skills align with the company's goals and how you can contribute to their data strategy. Be sure to include your experience with CI/CD practices and mentoring.
Showcase Relevant Projects: If applicable, include a portfolio or a section in your CV that details relevant projects you've worked on. Highlight any experience with streaming and batch Spark workloads, as well as your contributions to data governance frameworks.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. Ensure that your formatting is consistent and professional, as this reflects your attention to detail.
How to prepare for a job interview at VIQU Ltd
✨Showcase Your Technical Expertise
As a Data Engineering Manager, you'll need to demonstrate your expert-level knowledge of the Databricks platform and advanced Python skills. Be prepared to discuss specific projects where you've successfully implemented these technologies, highlighting your hands-on development experience.
✨Emphasise Leadership Experience
With over 8 years in data engineering, it's crucial to showcase your leadership capabilities. Share examples of how you've mentored teams, driven technical direction, and fostered collaboration in a hybrid environment. This will illustrate your ability to lead and inspire others.
✨Discuss CI/CD and Best Practices
Since the role involves championing CI/CD and automated testing, be ready to talk about your experience with these practices. Provide insights into how you've implemented them in past projects and the impact they had on system resilience and efficiency.
✨Align with Company Goals
Research the company's data strategy and be prepared to discuss how your vision aligns with it. Highlight your understanding of data governance frameworks and cost optimisation strategies, showing that you can contribute to the organisation's long-term objectives.
