At a Glance
- Tasks: Design and build data pipelines while collaborating with teams to drive analytics.
- Company: Leading beverage company modernising its data capabilities.
- Benefits: Hybrid work, generous holidays, employee discounts, and learning support.
- Other info: Fast-paced environment with clear career progression opportunities.
- Why this job: Shape the future of data platforms and develop skills in AI technologies.
- Qualifications: 3+ years in data engineering, strong SQL and Python skills.
The predicted salary is between 55000 - 65000 £ per year.
We’re partnering with a leading beverage company who are looking for a Data & Analytics Engineer as they continue modernising their Data Estate. This is an opportunity to take real ownership of a modern Databricks data platform as the business continues to scale and modernise its cloud and analytics capabilities. You’ll work in a highly visible role, helping shape the future of the platform while partnering closely with teams across the business. The organisation is investing heavily in its modern data stack, including Databricks, Unity Catalog and Delta Live Tables, with a strong focus on building scalable, governed and high-performing data solutions.
The Role
- You’ll be responsible for designing, building and maintaining robust data pipelines and analytical datasets that support reporting, insight generation and strategic decision-making across the business.
- This role combines hands‑on engineering with strong stakeholder engagement, particularly within their financial team.
Key Responsibilities
- Design, build and optimise scalable ETL/ELT pipelines across multiple business systems.
- Develop and maintain modern analytical data models and warehouse structures.
- Drive the ongoing modernisation of the Databricks platform, including Unity Catalog and DLT.
- Build reliable and high-quality datasets for reporting and analytics.
- Work closely with stakeholders across finance, operations, analytics and commercial teams to understand business requirements.
- Improve governance, monitoring, data quality and engineering standards across the platform.
- Support integrations with internal and third‑party systems.
- Contribute to CI/CD, automation and DataOps best practices.
- Help shape the future direction of the organisation’s data platform and engineering capability - especially as they develop their AI strategy and roadmap.
Key Skills
- 3+ years of experience in a similar Engineering/Analytical role.
- Strong SQL and Python skills.
- Hands‑on experience building ETL/ELT pipelines in modern cloud environments.
- Experience with Databricks and modern data platform architecture.
- Knowledge of data modelling and data warehousing concepts.
- Experience with Azure data services (ADF, Functions, Storage Accounts and related services).
- Strong stakeholder engagement and communication skills.
- Ability to operate in a fast‑paced, collaborative environment.
- Understanding of software engineering best practices, including CI/CD and version control.
Nice to Have
- Experience with Unity Catalog and DLT.
- Exposure to Power BI semantic models.
- Experience working with finance or forecasting datasets.
- Experience within FMCG / CPG environments.
- Interest in AI-enabled data solutions.
Benefits
- Hybrid working model (3 days onsite in London).
- Generous holiday allowance plus bank holidays.
- Employee discounts and product perks.
- Learning & development support, including training and certifications.
- Clear progression and career development opportunities.
- Collaborative and fast‑paced working environment.
- Opportunity to work with modern cloud and data technologies, including the opportunity to develop skills in AI.
Data & Analytics Engineer employer: Venturi
Join a leading beverage company that prioritises innovation and employee growth, offering a dynamic work culture where you can take ownership of a cutting-edge Databricks data platform. With generous holiday allowances, hybrid working options, and a strong commitment to learning and development, this role provides an excellent opportunity to shape the future of data analytics while collaborating with diverse teams in a fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at the company you're eyeing. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects related to data pipelines or analytics, share it. It’s a great way to demonstrate your hands-on experience and passion for the role.
✨Tip Number 3
Prepare for the interview by brushing up on your SQL and Python skills. Be ready to discuss how you've built ETL/ELT pipelines and tackled challenges in past roles. Real examples will make you stand out!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data & Analytics Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data & Analytics Engineer role. Highlight your experience with SQL, Python, and any relevant cloud environments like Databricks. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our modernisation efforts. Be sure to mention any experience with ETL/ELT pipelines and stakeholder engagement.
Showcase Your Projects:If you've worked on any cool projects related to data pipelines or analytics, don’t hold back! Include links or descriptions of your work to give us a taste of your hands-on experience and problem-solving skills.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to track your application better. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Venturi
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Databricks, SQL, and Python. Brush up on your ETL/ELT pipeline knowledge and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Stakeholder Skills
Since this role involves a lot of collaboration, prepare examples of how you've engaged with stakeholders in previous roles. Think about specific instances where you gathered requirements or communicated complex data insights effectively.
✨Demonstrate Problem-Solving Abilities
Be ready to tackle hypothetical scenarios during the interview. Practice explaining how you would approach designing a data pipeline or improving data quality. This will show your analytical thinking and engineering mindset.
✨Align with Their Vision
Research the company’s current data initiatives and their focus on AI. Be prepared to discuss how you can contribute to their modernisation efforts and what ideas you have for enhancing their data platform.
