Data Engineer

Overview

You’ll own the operational health of a modern data platform — the Snowflake warehouse, the dbt transformation layer, and the ELT pipelines feeding them. The role sits at the intersection of data engineering, platform operations, and team enablement: keeping the platform reliable and performant, keeping its cost under control, and raising the standard of how the wider data team works.

This is a hands-on role with real stakeholder exposure. You’ll work across Data Engineering, Analytics, Finance, and Security rather than inside a single team.

Responsibilities

Platform operations & reliability

• Own the operational health of the Snowflake environment — warehouse sizing, query performance optimisation, and cost management
• Monitor and maintain dbt project health: model performance, test coverage, documentation standards
• Ensure ELT pipeline reliability across ingestion tooling, with appropriate alerting and incident response
• Manage data freshness SLAs and communicate proactively when issues arise

Cost & resource management

• Monitor and optimise Snowflake credit consumption; identify inefficient queries and recommend warehouse configurations
• Implement resource monitors, tagging strategies, and chargeback models where appropriate
• Partner with Finance to forecast data platform costs and manage budget

Governance & quality

• Establish and enforce data quality frameworks using dbt tests, freshness checks, and anomaly detection
• Maintain access control policies and ensure compliance with data governance requirements
• Own incident management for data issues, including root cause analysis and prevention

Enablement & process

• Define and maintain operational runbooks for common tasks and incident response
• Support engineers and analysts with dbt best practices, code review standards, and deployment processes
• Champion observability tooling to give the team visibility into data health

Collaboration

• Work with Data Engineering on infrastructure improvements and architectural decisions
• Partner with Analytics and BI teams to understand consumer needs and prioritise reliability work
• Coordinate with Security and Compliance on audit requirements and access reviews

Who You Are

• Hands-on by preference — you’d rather open the query plan than delegate it
• Comfortable owning a platform’s reliability, not just building on top of it
• A clear communicator across engineering, analytics, finance, and compliance
• Cost-conscious: you treat credit consumption as an engineering problem
• Someone who raises the standard around them through runbooks, review, and enablement

Tech Stack You’ll Work With

• Warehouse: Snowflake — administration, warehouse sizing, resource monitors, SQL optimisation
• Transformation: dbt (Core or Cloud) — incremental models, macros, testing frameworks
• ELT: Fivetran, Airbyte, Stitch or comparable ingestion tooling
• DataOps: version control, automated testing, CI/CD for data
• Observability: Monte Carlo, Elementary, dbt Cloud or similar
• Orchestration: Airflow, Dagster, Prefect

Qualifications

Must-Have

• Extensive experience in data engineering, analytics engineering, or data platform roles
• Strong hands-on Snowflake administration and SQL optimisation
• Proficiency with dbt (Core or Cloud), including incremental models, macros, and testing frameworks
• Experience operating ELT pipelines at scale (Fivetran, Airbyte, or custom solutions)
• Understanding of DataOps principles and CI/CD for data — version control, automated testing, deployment pipelines
• Strong stakeholder management and communication

Nice-to-Have

• Data observability platforms: Monte Carlo, Elementary, Datafold
• Orchestration tooling: Airflow, Dagster, Prefect
• Cost optimisation for cloud data platforms
• Data governance frameworks and compliance: GDPR, SOC 2

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