At a Glance
- Tasks: Design and maintain data pipelines to support business insights and decision-making.
- Company: Global premium retail brand in the fast-moving consumer goods sector.
- Benefits: Competitive perks, training opportunities, and a flexible, inclusive work environment.
- Other info: Dynamic workplace with strong focus on innovation and career growth.
- Why this job: Join a collaborative team and shape the future of data in a growing brand.
- Qualifications: Experience in data modelling, ETL processes, and software development practices.
The predicted salary is between 45000 - 55000 £ per year.
This company is a premium retail brand within the FMCG market, operating on a global scale and continually looking to grow with similar products that align with the brand. The environment is fast-paced, collaborative, and growth-oriented, requiring initiative, adaptability, and proactive problem-solving. We are looking for individuals who can help shape the evolution of our business as we continue to scale and innovate within the consumer products sector.
As a Data and Analytics Engineer, you will support the delivery and ongoing development of the organisation’s data and analytics capability. You will design, build, and maintain scalable data pipelines and structured analytical datasets that support business reporting, insights, and decision‑making. The role sits within the Technology function and works closely with analytics, operations, finance, and wider business teams.
Key Responsibilities- Design, build, and maintain robust ETL/ELT pipelines across multiple business systems
- Develop and manage analytical data models and warehouse structures
- Transform and curate data using Python, SQL, and cloud-based data platforms to ensure accuracy and performance
- Support the delivery of datasets and semantic models for BI reporting
- Build and maintain integrations with internal and third‑party systems
- Apply software engineering best practices, including version control, CI/CD, and automated testing
- Collaborate with stakeholders to understand data requirements and translate them into technical solutions
- Support monitoring, troubleshooting, and incident handling
- Create high‑quality documentation and reusable engineering standards
- Power BI
- Databricks
- Python
- Cloud services including data orchestration, serverless functions, and storage solutions
- Experience with data modelling and data warehousing
- Experience working with data analysis and DataOps practices
- Integration experience across multiple systems
- Understanding of software development practices (version control, CI/CD, DevOps)
- Experience working with finance, forecasting, or analytical datasets
- Experience with enterprise planning tools
- Experience within a consumer goods or fast-moving consumer goods environment
- Experience building AI‑enabled solutions or a strong willingness to learn and upskill in AI technologies
- Opportunity to work within a globally recognised and growing consumer brand
- Supportive and collaborative culture with strong emphasis on innovation and continuous improvement
- Investment in employee training, development, and career progression
- Competitive benefits package and employee perks
- Inclusive and flexible working environment
- Modern office environment and collaborative workspaces
We are an equal opportunity employer and are committed to creating an inclusive workplace where all employees are treated fairly and with respect, regardless of background or protected characteristics.
Data and Analytics Engineer employer: Venturi
Join a globally recognised premium retail brand in the FMCG market, where innovation and collaboration are at the heart of our fast-paced environment. As a Data and Analytics Engineer, you will benefit from a supportive culture that prioritises employee growth through continuous training and development, alongside a competitive benefits package. Our modern office fosters teamwork and creativity, making it an ideal place for those looking to make a meaningful impact in the consumer products sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data and Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, analytical models, or any projects you've worked on. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s data needs. Be ready to discuss how you can contribute to their growth and innovation in the FMCG sector.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about joining our team.
We think you need these skills to ace Data and Analytics Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data and Analytics Engineer role. Highlight your experience with data modelling, ETL/ELT pipelines, and any relevant technologies like Python and SQL.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data and analytics. Share specific examples of how you've tackled challenges in previous roles and how you can contribute to our fast-paced, collaborative environment.
Showcase Your Technical Skills:Don’t forget to mention your experience with cloud services and data orchestration. We love seeing candidates who are familiar with software engineering best practices, so be sure to include any relevant projects or tools you've used.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows initiative, which we really appreciate!
How to prepare for a job interview at Venturi
✨Know Your Data Stuff
Make sure you brush up on your data modelling and warehousing skills. Be ready to discuss your experience with ETL/ELT pipelines and how you've used Python and SQL in past projects. This role is all about data, so showing your expertise will definitely impress.
✨Show Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in previous roles. Think about times when you had to adapt quickly or innovate solutions. The company values proactive problem-solving, so demonstrating this ability will set you apart.
✨Collaborate Like a Pro
Since the role involves working closely with various teams, be ready to talk about your collaboration experiences. Share how you've communicated technical concepts to non-technical stakeholders and how you’ve gathered requirements to deliver effective data solutions.
✨Get Familiar with Their Tech Stack
Do some homework on the technologies mentioned in the job description, like Power BI, Databricks, and cloud services. If you have experience with these tools, great! If not, show your willingness to learn and adapt. This will demonstrate your commitment to growing within the role.
