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- Tasks: Design and maintain data transformation layers, automate pipelines, and collaborate with data experts.
- Company: Join Ocado Logistics, a leader in innovative technology and customer experience.
- Benefits: Enjoy flexible work, wellbeing support, pension plan, and shopping perks.
- Why this job: Make a real impact by modernising technology and building user-centric applications.
- Qualifications: Expertise in SQL, Google Cloud Platform, and data modelling required.
- Other info: Dynamic team environment with opportunities for growth and development.
The predicted salary is between 36000 - 60000 £ per year.
Here at Ocado Logistics it’s our mission to provide an outstanding customer experience for our partners, developing groundbreaking technology and engaging in exciting new business partnerships around the world - changing the way the world shops, for good.
About the role: We now have an opportunity for an Analytics Engineer to join the team. You will sit at the strategic intersection of data analysis, automation, and application development, bridging the gap between raw data sources and actionable business insights. You will play a pivotal role in modernising our technology stack and building user-centric applications within a Google BigQuery environment.
You will be:
- Designing and maintaining robust data transformation layers within Google BigQuery.
- Utilising your expertise as an Analytics Engineer to build production-grade data models using SQL and dbt.
- Automating complex data pipelines to replace legacy manual tools and Excel-based processes.
- Collaborating with Data Scientists and Analysts to optimise data structures for predictive modelling.
- Championing software engineering best practices including Git workflows and CI/CD.
About you:
- You are a SQL expert with deep experience in window functions and performance tuning for the Analytics Engineer role.
- You have a strong technical foundation in Google Cloud Platform (GCP) and BigQuery environments.
- You are proficient in data modelling concepts such as dimensional modelling and Star Schema.
- You have hands-on experience with dbt (data build tool) and version control systems like Git.
- You are a proactive communicator capable of translating technical specifications for business stakeholders.
What you can expect to receive in return:
- Flexible Work: Enjoy 30 days of 'work from anywhere' policy.
- Wellbeing Support: Access dedicated apps and an Employee Assistance Programme.
- Pension Plan: Up to 7% employer contribution matching.
- Private Medical Cover: Comprehensive private medical insurance.
- Shopping Perks: 15% discount.
Ocado Group is an equal opportunities employer and as such makes every effort to ensure that all potential employees are treated fairly and equally.
Due to the high volume of applications we receive, if you have not heard from us within 3 weeks of the closing date, please assume that your application has been unsuccessful on this occasion.
Analytics Engineer in Hatfield employer: Ocado Logistics
Contact Detail:
Ocado Logistics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer in Hatfield
✨Tip Number 1
Network like a pro! Reach out to current employees at Ocado Logistics on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your SQL expertise and experience with Google BigQuery. This will help you stand out during interviews and show that you’re ready to hit the ground running.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for Analytics Engineers. Think about how you can relate your past experiences to the role at Ocado, especially around data modelling and automation.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team at Ocado Logistics.
We think you need these skills to ace Analytics Engineer in Hatfield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Analytics Engineer role. Highlight your SQL expertise, experience with Google BigQuery, and any relevant projects that showcase your skills in data modelling and automation.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with our mission at Ocado Logistics. Don’t forget to mention your experience with dbt and Git!
Showcase Your Technical Skills: In your application, be specific about your technical skills. Mention your hands-on experience with data pipelines and performance tuning. We want to see how you can bridge the gap between raw data and actionable insights!
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and ensure it gets into the right hands!
How to prepare for a job interview at Ocado Logistics
✨Know Your SQL Inside Out
As an Analytics Engineer, you'll need to showcase your SQL expertise. Brush up on window functions and performance tuning techniques. Be ready to discuss specific examples of how you've optimised queries in past projects.
✨Familiarise Yourself with Google BigQuery
Since the role involves working within a Google BigQuery environment, make sure you understand its features and best practices. Prepare to talk about your experience with data transformation layers and how you've used BigQuery to derive actionable insights.
✨Showcase Your Automation Skills
Highlight your experience in automating data pipelines. Be prepared to discuss how you've replaced manual processes with automated solutions, and share any specific tools or frameworks you've used, like dbt.
✨Communicate Like a Pro
You'll be collaborating with Data Scientists and Analysts, so strong communication skills are key. Practice explaining technical concepts in simple terms, as you'll need to translate complex data specifications for business stakeholders.
