Senior Data Engineer

5+ years of experience designing, developing, and managing large-scale data platforms, with strong expertise in cloud data warehousing (e.g. Snowflake, Databricks, BigQuery, Redshift)

Advanced SQL and dbt proficiency — you write clean, well-tested transformation logic and understand the difference between a well-organised set of dbt models and a true semantic layer

Strong understanding of data modelling techniques — you know when to apply dimensional modelling, Data Vault, or a simpler normalised approach based on the problem at hand

Experience with data integration pipelines — building and maintaining ELT pipelines from SaaS sources (CRM, billing, product databases) into a centralised warehouse

Infrastructure-as-Code experience — you're comfortable managing data infrastructure programmatically (e.g. Terraform) and understand why it matters at scale

Exceptional collaboration skills — you can translate ambiguous business questions into clear data requirements, communicate confidently with non-technical stakeholders, and contribute positively to a fast-moving, distributed team

A genuine curiosity about how data drives business decisions — you care about the downstream impact of the work, not just the technical elegance of the pipeline

Nice-to-have

Experience with AWS cloud infrastructure (S3, Lambda, Glue)

Experience building or contributing to a semantic layer or metrics layer

Prior experience in a B2B SaaS environment

Qualifications

• Bachelor's degree (or higher) in Computer Science, Data Science, Information Technology, or a closely related analytical field — or equivalent practical experience