At a Glance
- Tasks: Design and build data pipelines, optimise performance, and deliver insights across the business.
- Company: Rapidly growing organisation in the food services sector with a purpose-driven culture.
- Benefits: Competitive salary, hybrid working, generous leave, pension scheme, and employee perks.
- Other info: Great career development opportunities and monthly incentives for your hard work.
- Why this job: Join a dynamic team to shape analytics and make impactful decisions in a fast-paced environment.
- Qualifications: Experience in analytics engineering, strong SQL and Python skills, and familiarity with Snowflake.
The predicted salary is between 80000 - 100000 £ per year.
Location: Surrey (Hybrid – 2/3 days per week in the office)
Industry: Food Services
I'm currently working with a rapidly growing organisation in the food services sector that is looking to hire an Analytics Engineer to help build and shape its in-house analytics capability. This is a key role within the business, focused on reducing reliance on third-party suppliers and contractors while developing a scalable, modern data platform that supports decision-making across multiple business functions.
Reporting directly to the Chief Information Officer (CIO), you'll work closely with stakeholders across Operations, Finance, Marketing, and IT to deliver robust data solutions, actionable insights, and a best-in-class analytics environment. This is an excellent opportunity for someone who enjoys combining data engineering, analytics, stakeholder engagement, and business transformation within a fast-paced and purpose-driven organisation.
- Design, build, and maintain data pipelines using Python and dbt to ingest data from multiple business systems and APIs.
- Develop and manage dimensional data models within Snowflake using SQLMesh, dbt, or similar technologies.
- Optimise Snowflake performance and drive cost-efficient data platform management.
- Partner with Business Intelligence teams to deliver meaningful insights and support reporting through Power BI and Metabase.
- Ensure data is accessible, reliable, governed, and well-documented through metadata management tools.
- Manage and prioritise a backlog of data requirements across the business.
- Collaborate with stakeholders to translate business requirements into scalable data solutions.
- Support data quality, governance, and continuous improvement initiatives.
- Contribute to the ongoing development of the company's data and analytics strategy.
Previous experience in an Analytics Engineer, Data Engineer, Analytics Developer, or similar role.
- Advanced SQL skills and strong production-level Python development experience.
- Strong experience working with Snowflake or similar cloud-based data platforms.
- Proven experience building and maintaining data pipelines and ELT processes.
- Strong understanding of dimensional data modelling using SQLMesh, dbt, or equivalent tools.
- Experience delivering scalable and reliable data solutions within a commercial environment.
- Experience within food services, hospitality, retail, education, or related sectors.
- Familiarity with metadata and data cataloguing tools such as OpenMetadata.
- Experience supporting Power BI, Metabase, or similar reporting platforms.
- Understanding of modern data platform architecture and cloud data ecosystems.
- Ability to communicate data insights and business value to senior stakeholders.
80,000–£100,000 salary (depending on experience).
- Hybrid working arrangement.
- 25 days annual leave plus bank holidays.
- Pension scheme and additional company benefits.
- Staff discount scheme and employee perks programme.
- Access to extensive training, qualifications, and career development opportunities.
- Monthly incentives and recognition programmes.
Remote engineer in Surrey employer: Oscar
Join a rapidly growing organisation in the food services sector that prioritises employee development and offers a dynamic work culture. As an Analytics Engineer, you'll benefit from a hybrid working arrangement, competitive salary, and extensive training opportunities, all while contributing to meaningful data solutions that drive business transformation. With a focus on collaboration and innovation, this role provides a unique chance to shape the company's analytics strategy in a supportive environment that values your contributions.
