Data Engineer

Role

As a Data Engineer at bp you will design, build, test, and deploy data pipelines and data products across the full stack — from raw data ingestion through transformation, orchestration, serving, APIs and dashboards to downstream ML/AI consumers. The role emphasizes rapid iteration, prototyping and productionalization of solutions in short sprint cycles.

Key Responsibilities

• Develop and operate end-to-end data pipelines and curated datasets.
• Build APIs, dashboards and data services for downstream ML/AI consumption.
• Rapidly prototype proofs-of-concept and turn them into production systems.
• Automate CI/CD, data quality checks, monitoring and operational tasks.
• Collaborate closely with data scientists, AI engineers and product managers in an agile environment.
• Propose and implement improved architectures and engineering patterns.

Requirements

• 3+ years of hands-on data engineering experience, ideally in startup or high-growth environments.
• Experience building systems from scratch (ingestion, transformation, orchestration, serving, monitoring).
• Strong automation mindset (CI/CD, testing, observability) and experience operationalizing pipelines.
• Comfortable working with ambiguity and owning end-to-end delivery.
• Proven history of rapid prototyping and “hackathon”-style execution.
• Familiarity and regular use of AI-assisted coding tools (e.g., Copilot, Claude, Cursor) is encouraged.

Benefits & Perks

• Competitive pay aligned with industry standards.
• Discretionary bonuses and recognition awards (Energize points, spot awards).
• Retirement and savings plans (regional offerings vary).
• Insurance benefits in some countries.
• Potential equity (stock/share) eligibility depending on location and level.
• Relocation support available within country.
• Flexible working arrangements may be considered for full-time roles.

Logistics

• Travel: up to ~10% expected.
• Relocation: eligible within country.
• Job code: RQ109466.