Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead technical solutions and mentor teams in data engineering.
- Company: Join one of the UK's largest parcel delivery organisations.
- Benefits: Enjoy flexible working, bonuses, 26 days holiday, and global remote work options.
- Why this job: Be at the forefront of innovation in logistics with cutting-edge technologies.
- Qualifications: 8+ years in data engineering with leadership experience and expert-level skills in Databricks.
- Other info: Opportunity to shape strategic roadmaps and drive best practices.
The predicted salary is between 57000 - 75000 £ per year.
We're looking for an exceptional Data Consultant to join one of the UK's largest parcel delivery organisations. This is a unique opportunity to blend technical leadership with hands-on development, working with cutting-edge technologies in an exciting logistics environment!
What You'll Do:
- Lead and implement technical solutions across our data landscape
- Provide technical mentorship and drive engineering best practices
- Optimize mission-critical data pipelines supporting nationwide operations
- Establish and maintain robust CI/CD practices
- Shape strategic technical roadmaps
- Drive innovation in our data engineering space
Must-Have Experience:
- 8+ years in data engineering with team leadership experience
- Expert-level knowledge of Databricks platform for logistics applications
- Advanced Python development skills
- Deep understanding of SQL optimization for large-scale operations
- Proven experience with AWS technologies (EC2, Lambda, Fargate, ECS, CDK)
- Strong background in streaming and batch Spark workloads
What We're Offering:
- Flexible working arrangements
- Up to 15% bonus potential
- 26 days holiday + bank holidays
- Comprehensive pension package
- Work from anywhere globally for up to 90 days per year
Lead Data Consultant employer: VIQU
Contact Detail:
VIQU Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Consultant
✨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
Network with professionals in the logistics and data engineering sectors. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends and challenges in the field.
✨Tip Number 3
Prepare to discuss your leadership experience in detail. Think of specific examples where you've successfully led a team or project, particularly in data engineering, and be ready to explain how you drove best practices.
✨Tip Number 4
Stay updated on AWS technologies, especially those mentioned in the job description. Being able to speak confidently about your experience with EC2, Lambda, and other services will set you apart from other candidates.
We think you need these skills to ace Lead Data Consultant
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 the Databricks platform. Use specific examples that demonstrate your advanced Python skills and knowledge of SQL optimization.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with their needs, especially your experience with AWS technologies and your ability to drive innovation in data engineering.
Showcase Relevant Projects: If applicable, include a portfolio or a section in your CV that showcases relevant projects you've worked on. Highlight any technical solutions you've implemented, particularly those that involved optimizing data pipelines or establishing CI/CD practices.
Proofread and Edit: Before submitting your application, thoroughly proofread your documents. Check for any spelling or grammatical errors, and ensure that your formatting is consistent. A polished application reflects your attention to detail, which is crucial in a data-driven role.
How to prepare for a job interview at VIQU
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with the Databricks platform and how you've applied it in logistics. Highlight specific projects where you optimised data pipelines or implemented CI/CD practices.
✨Demonstrate Leadership Skills
Since this role involves team leadership, share examples of how you've mentored others in data engineering. Discuss your approach to driving best practices and fostering innovation within a team.
✨Prepare for Technical Questions
Expect in-depth questions about Python development, SQL optimisation, and AWS technologies. Brush up on your knowledge of streaming and batch Spark workloads, as these are crucial for the role.
✨Align with Company Values
Research the logistics organisation's mission and values. Be ready to explain how your personal values align with theirs and how you can contribute to their goals, especially in terms of innovation and efficiency.
