Data Engineer

I am seeking a technically strong Data Engineer to support the development and scaling of a modern cloud-based data platform within a fast-growing B2B SaaS organisation that specialises in marketing data integrity. The company provides a platform that helps organisations automate and standardise the flow of lead and marketing data across multiple systems, improving data quality, transparency and operational efficiency. Working within a small but growing data function, this role will focus on building and optimising data pipelines, improving access to platform and event data and strengthening the underlying data architecture that supports analytics, machine learning and AI initiatives. This role is ideal for someone with strong experience across modern data engineering practices, cloud data platforms and large-scale data processing within a SaaS or data-driven environment. Responsibilities

• Build, maintain and optimise scalable data pipelines that move data from operational systems into analytics platforms
• Work closely with Engineering and DevOps teams to support data replication, ingestion and reliability
• Improve access to and usability of platform logs and event data for analytics and AI use cases
• Manage and structure data stored within AWS environments including S3 and Redshift
• Develop and maintain analytics-ready datasets using dbt as the core transformation tool

• Experience working as a Data Engineer or similar role, ideally within a SaaS or technology-driven environment
• Strong SQL experience and confidence working with modern cloud data warehouses such as AWS Redshift
• Strong Python experience for building and maintaining production data pipelines, working with APIs, logs and semi-structured data
• Experience using dbt to build and manage analytics models within a data warehouse
• Familiarity with AWS data services such as S3, RDS or Aurora
• Experience working with event or log-based data sources such as Elasticsearch or OpenSearch

• Salary up to £80,000 depending on experience
• Flexible remote or hybrid working
• 25 days holiday plus an additional day for your birthday
• Opportunity to work within a growing data team at a scaling SaaS organisation

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