Data Engineer

📋 Description

• Design, build and maintain scalable data pipelines, transforming complex internal and external data
• Develop and enhance data quality frameworks, monitoring and validation processes to ensure
• Partner with business, marketing and technology teams to translate requirements into effective data
• Contribute to solution architecture and technical design, owning delivery from discovery through to
• Collaborate with central data, platform and engineering teams to ensure alignment with enterprise
• Drive continuous improvement across processes, datasets and tools, increasing efficiency

🎯 Requirements

• Strong experience building and maintaining data pipelines using SQL, Python, or similar
• Experience with modern cloud data platforms, ideally Snowflake, or alternatives such as Databricks
• Experience developing cloud-based solutions, with AWS preferred, or equivalent experience in Azure
• Familiarity with data transformation and ELT frameworks, ideally dbt.
• Experience implementing data quality, testing, monitoring, and observability solutions, with tools
• Experience with workflow orchestration tools, preferably Prefect, or alternatives such as Airflow

🎁 Benefits

• A regular bonus and great pension.
• 25 days annual leave and all Bank holidays.
• Extra paid leave, including wellbeing and development days.
• Life assurance and Income Protection.
• Private healthcare and wellbeing support.
• A stake in our success through our ShareSave scheme.