Responsibilities

• Ingest customers' trade and supply chain data, analyze, map, and transform it into data models
• Write SQL to investigate and validate data
• Apply validation checks, handle nulls, duplicates, and late-arriving data
• Build simple ingestion and transformation steps, and implement well-scoped fixes and config changes to the pipeline
• Contribute to dashboards and internal tooling following existing patterns
• Learn pipeline monitoring, triage alerts, and escalate with useful context
• Build domain knowledge of how trade and supply chain data maps to carbon accounting

Requirements

Bonus: Salary & Benefits: Other: Right to work in the UK and willingness to work in central London office at least 3 days a week.

• Some hands-on experience with Python and SQL (professional, academic, or personal projects)
• Detail-oriented approach to messy real-world data
• Comfortable asking questions, seeking feedback, and learning fast
• Ownership mindset: see tasks through to completion
• Strong communication skills; able to work with customer data and teams
• Passion for climate and sustainability
• Exposure to data tooling such as BigQuery, dbt, or Metabase
• Competitive salary and benefits
• 28 days annual leave
• £500 home office setup allowance
• £2,000 annual learning allowance
• Private healthcare
• Generous parental leave policy
• Weekly team lunches in the office
• Office gym and cycle to work scheme

Responsibilities

• Ingest customers' trade and supply chain data, analyze, map, and transform it into data models
• Write SQL to investigate and validate data
• Apply validation checks, handle nulls, duplicates, and late-arriving data
• Build simple ingestion and transformation steps, and implement well-scoped fixes and config changes to the pipeline
• Contribute to dashboards and internal tooling following existing patterns
• Learn pipeline monitoring, triage alerts, and escalate with useful context
• Build domain knowledge of how trade and supply chain data maps to carbon accounting

Requirements

Bonus: Salary & Benefits: Other: Right to work in the UK and willingness to work in central London office at least 3 days a week.

• Some hands-on experience with Python and SQL (professional, academic, or personal projects)
• Detail-oriented approach to messy real-world data
• Comfortable asking questions, seeking feedback, and learning fast
• Ownership mindset: see tasks through to completion
• Strong communication skills; able to work with customer data and teams
• Passion for climate and sustainability
• Exposure to data tooling such as BigQuery, dbt, or Metabase
• Competitive salary and benefits
• 28 days annual leave
• £500 home office setup allowance
• £2,000 annual learning allowance
• Private healthcare
• Generous parental leave policy
• Weekly team lunches in the office
• Office gym and cycle to work scheme