At a Glance
- Tasks: Lead data solutions and optimise pipelines in a dynamic logistics environment.
- Company: Join one of the UK's largest parcel delivery organisations, innovating in logistics.
- Benefits: Enjoy flexible working, up to 15% bonus, 26 days holiday, and global remote work options.
- Other info: Opportunity for career development and a chance to drive innovation in data engineering.
- Why this job: Blend technical leadership with hands-on development using cutting-edge technologies.
- Qualifications: 8+ years in data engineering with expertise in Databricks, Python, and AWS.
The predicted salary is between 55000 - 75000 £ per year.
Leading UK Logistics Organisation
Hybrid Working | £66,000 - £75,000
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
- Cutting-edge tech stack
- Career development opportunities
To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant.
Data Engineering Product Owner in Leeds employer: VIQU Limited
Join a leading Investment Banking firm in London, where you will thrive in a dynamic hybrid work environment that fosters innovation and collaboration. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to work on complex projects that make a real impact in the financial sector. Our inclusive work culture values your contributions and encourages you to take ownership of your projects, ensuring a rewarding and meaningful career path.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Product Owner in Leeds
✨Tip Number 1
Familiarise yourself with the Databricks platform, as it's a key requirement for this role. Consider working on personal projects or contributing to open-source projects that utilise Databricks to showcase your expertise.
✨Tip Number 2
Brush up on your Python and SQL skills, focusing on optimisation techniques for large-scale operations. You might want to create a portfolio of projects that demonstrate your ability to handle data efficiently.
✨Tip Number 3
Network with professionals in the logistics and data engineering fields. Attend relevant meetups or webinars to connect with others who can provide insights into the industry and potentially refer you to opportunities.
✨Tip Number 4
Stay updated on the latest AWS technologies, especially those mentioned in the job description. Consider obtaining certifications or completing online courses to validate your knowledge and make your application stand out.
We think you need these skills to ace Data Engineering Product Owner in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your 8+ years of experience in data engineering and any leadership roles you've held. Emphasise your expertise with the Databricks platform and your advanced Python skills, as these are crucial for the role.
Craft a Compelling Cover Letter:In your cover letter, explain why you're passionate about data engineering and how your background aligns with the company's needs. Mention specific projects where you've optimised data pipelines or implemented CI/CD practices to showcase your hands-on experience.
Showcase Relevant Projects:If you have worked on significant projects involving AWS technologies or Spark workloads, include these in your application. Detail your role and the impact of your contributions to demonstrate your technical leadership capabilities.
Proofread and Edit:Before submitting your application, take the time to proofread your documents. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at VIQU Limited
✨Showcase Your Technical Expertise
As a Data Engineering Product Owner, it's crucial to demonstrate your deep understanding of the Databricks platform and AWS technologies. Be prepared to discuss specific projects where you've successfully implemented these technologies, highlighting your role in optimising data pipelines.
✨Emphasise Leadership Experience
With over 8 years in data engineering and team leadership, you should be ready to share examples of how you've mentored teams and driven engineering best practices. Discuss your approach to fostering collaboration and innovation within your team.
✨Prepare for Technical Questions
Expect to face technical questions related to SQL optimisation and Python development. Brush up on your knowledge of streaming and batch Spark workloads, as well as CI/CD practices, to confidently answer any queries that may arise during the interview.
✨Align with Company Values
Research the logistics organisation's mission and values. Be ready to explain how your experience and vision align with their goals, particularly in driving innovation within their data engineering space. This will show your genuine interest in the role and the company.
