Staff Data Engineer

Own the long-term technical vision for data engineering within your scope. Architect and implement petabyte scale data platform and frameworks that enable frictionless data publishing and consumption across the organisation.

Lead the effort to unify fragmented data models into single sources of truth for critical business domains. Define and enforce high standards for data quality, metadata, and documentation.

Work independently across multiple teams to identify and remove technical blockers. Partner with product and engineering leads to design and provide the reusable frameworks and data platform capabilities that ensure data is a default part of new service development from day one.

Improve data platform reliability and performance by optimizing data ingestion and transformation processes. Lead the response to complex technical incidents and establish proactive monitoring and alerting, ensuring automated data observability and quality gates.

Coach and guide engineers across the organisation and in interfacing teams on data engineering best practices and foster a culture of technical excellence and continuous improvement.

Implement and automate data governance protocols, including PII tagging, data lifecycle management, and secure access controls, ensuring compliance without adding unnecessary friction for users. 

Treat the data platform as a product, identifying internal 'customer' pain points and roadmapping technical solutions that increase developer velocity across all of PPRO engineering

10+ years experience in data engineering and data warehousing, with a track record of delivering high-impact, complex technical projects, and hands-on experience building reusable data models (e.g., using dbt, SQL, and modern data warehouses like BigQuery or Snowflake)

Strong experience with distributed systems and cloud infrastructure (GCP/AWS). You apply rigorous software engineering principles to design for scale, reliability, and cost-efficiency.

Agentic first mindset and experience building systems that utilize metadata and LLMs to automate complex engineering reasoning, e.g. automated root-cause analysis (RCA) or SQL generation/optimization agents

Ability to navigate ambiguity and translate high-level business goals into actionable technical roadmaps.

Excellent communication skills, with the ability to influence stakeholders at various levels and explain complex technical trade-offs clearly.

A strong sense of ownership, a solution-oriented mindset, and a passion for making things better through data.