Senior Data Engineer

A fast-growing, cloud-first technology scale-up is hiring its first dedicated Data Engineer to build and own a modern analytics and data platform from the ground up.

This is a foundational, hands‑on role with real influence across architecture, data strategy, and how product teams design and expose data. Ideal for a senior IC who wants scope, autonomy, and a clear path to owning data end-to-end as the business scales.

What you’ll be doing

• Designing and building a scalable data platform on AWS
• Creating robust batch and streaming data pipelines
• Owning analytical data models (SQL / dbt) used across the business
• Partnering with engineering teams on data modelling and data contracts
• Optimising for cost, scale, governance, and data quality in a high-volume environment

What they’re looking for

• 5+ years in data engineering / data platform roles
• Strong AWS experience (e.g. S3, Lambda, Glue, Kinesis)
• Expert SQL and solid Python
• Experience with modern data warehouses (Snowflake, Redshift, BigQuery)
• Orchestration tools (Airflow, Dagster, Prefect) and dbt
• Comfortable operating at architecture level, not just pipelines

Nice to have

• Streaming or event‑driven architectures
• IoT / high-volume telemetry data
• IaC (Terraform / CloudFormation)
• Scale‑up or startup experience

Why this role

• First data hire with genuine ownership
• Influence platform direction from day one
• High‑impact work in a growing, mission‑driven tech company
• Strong progression as the data function scales

Get in touch for full info - submit your CV or contact Carol Donnelly on