Data Engineering Lead

Role Overview

• Build and stabilise core data infrastructure: Design, build and maintain reliable, scalable pipelines and systems that ensure data flows correctly across the business and support critical operational and reporting workflows.
• Improve data reliability and observability: Own and improve the quality, resilience and maintainability of Attio’s broader data infrastructure — helping reduce operational risk and improve trust in the data underpinning the business.
• Shape Attio’s future data architecture: Partner closely with Product, Engineering and business stakeholders to define how our data platform should evolve over time, balancing immediate business needs with long-term scalability.
• Enable better business decision-making: Help create the foundational datasets, transformations and infrastructure required to support experimentation, analytics and operational reporting across the company.
• Operate as a senior technical leader: Bring clarity and direction within ambiguity — taking loosely defined problems, creating clear plans of execution, and driving outcomes with a high degree of ownership and autonomy.
• Help build the future data function: Contribute toward defining best practices, technical standards and longer-term hiring plans as Attio’s data capability matures and scales over time.

Requirements

• Strong Data Engineering foundations: Deep hands-on experience designing and maintaining modern data infrastructure, pipelines and transformation layers within cloud-native environments.
• Technical depth across modern data tooling: Strong hands-on Data Engineering capability across modern tooling such as BigQuery, DBT, SQL and Python (or equivalent ecosystems e.g. Snowflake).
• Startup or scale-up experience: You’ve operated within fast-moving product or engineering-led environments and understand how to balance speed, ambiguity and long-term technical quality.
• Translation across abstraction levels: Able to move fluently between ambiguous business problems and precise technical implementation by translating effectively in both directions.
• Quantitative reasoning: Able to translate ambiguous business concepts (e.g. “activated workspace” or “qualified lead”) into clear, measurable and defensible definitions, with strong judgement around whether resulting outputs represent meaningful signal or simply noise.
• High ownership and autonomy: Comfortable operating as a senior IC with minimal direction. You have experience being responsible for problems end-to-end and driving them through to resolution.
• Pragmatic technical leadership: You’re able to bring structure and prioritisation to unclear problem spaces, communicate effectively with both technical and non-technical stakeholders, and influence decisions across the business.
• Commercial and operational awareness: You understand that data infrastructure is not just an engineering problem: it directly impacts product velocity, reporting accuracy, experimentation capability and commercial performance.
• Bias for action: You move with urgency, enjoy solving difficult problems, and are equally comfortable operating strategically as you are rolling up your sleeves and building directly.

Tech Stack

• BigQuery
• Cloud
• Python
• SQL

Benefits

• Competitive salary of £115,000
• £145,000
• Equity in an early-stage tech company on an incredible trajectory
• 25 days holiday plus local public holidays
• Apple hardware
• Private medical insurance through AXA
• Pension contribution through Hargreaves Lansdown
• Enhanced family leave
• Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far)