Data Engineer

About this role

Responsibilities

• Design, build, and operate scalable, reliable, and observable data pipelines using modern ELT and streaming patterns.
• Develop and maintain data models that support analytics, reporting, and machine‑learning workloads.
• Maintain the end‑to‑end data lifecycle, from source ingestion to consumption, including documentation and data contracts.
• Enable and support new inbound and outbound data integrations.
• Collaborate closely with analysts, data scientists, and application developers to deliver trusted, self‑service data products.
• Implement data quality, validation, and observability frameworks to ensure reliability and transparency.
• Monitor pipeline health, performance, and cost; continuously optimize queries, storage, and compute usage.
• Apply software engineering best practices (version control, CI/CD, testing, code reviews) to data codebases.
• Ensure security, privacy, and regulatory compliance through access controls, auditing, and platform standards.
• Contribute to architecture decisions, standards, and technical documentation to support long‑term scalability.
• Support backup, disaster recovery, and resilience strategies for critical data assets

Requirements

• Strong passion for automation and platform thinking.
• Product‑ and outcome‑oriented mindset, with focus on enabling value
• Excellent analytical and problem‑solving skills with a high attention to detail.
• Clear communicator, able to explain data and technical concepts to non‑technical stakeholders.
• Collaborative team player comfortable working across disciplines & locations.
• Curious, proactive, and committed to continuous learning and improvement