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 carol@vivatechtalent.com
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