Trips Data Engineering II

We are looking for a Data Engineer I to join our team and help build scalable, reliable, and well-governed data solutions that power analytics, operational decision-making, and reporting. This role is suited for an engineer who can own team-level delivery with some supervision and grow through hands-on execution.

What you will do

• Design, build, and maintain moderately complex data systems and pipelines based on business requirements.

• Own delivery for team-level data solutions, including implementation, deployment, and production monitoring.

• Translate business needs into practical data models, architecture decisions, and data flow mappings.

• Build batch, streaming, and event-based data solutions that are scalable, reliable, and maintainable.

• Improve data quality, validation, observability, and operational reliability across owned data assets.

• Partner closely with teammates and stakeholders to make sure data is accurate, accessible, and useful.

• Support secure and compliant data handling practices in line with company standards.

Responsibilities

Technical delivery

• Deliver high-quality data pipelines and systems that are reliable, testable, and observable.

• Work with SQL, Python, and distributed data processing technologies such as Spark.

• Apply data modelling and architecture principles to support business-aligned data domains.

• Build reusable components and patterns where they improve consistency and maintainability.

• Contribute to the technical design of important team projects.

Ownership and operations

• Take ownership of the systems and datasets you build.

• Support monitoring, alerting, troubleshooting, and incident response for production data workflows.

• Help improve data availability, schema checks, validation, and failure detection.

• Document systems, assumptions, and operational processes clearly.

• Follow governance, privacy, and compliance requirements across the data lifecycle.

Collaboration and growth

• Work closely with engineers, analysts, product managers, and platform teams to deliver fit-for-purpose solutions.

• Communicate clearly and collaborate well within the team and with stakeholders.

• Seek support on complex problems and bring a strong learning mindset.

• Contribute to a culture of engineering quality, curiosity, and continuous improvement.

What we’re looking for

• BSc or higher in Computer Science or a related field, or equivalent work experience.

• 2+ years of experience in data engineering or a closely related role.

• Hands-on experience with data pipelines, data modelling, and data quality practices.

• Solid skills in SQL and Python, plus familiarity with distributed processing tools such as Spark.

• Exposure to orchestration, monitoring, and production support for data systems.

• A pragmatic, detail-oriented approach with strong ownership and follow-through.

• Good communication and collaboration skills.

  • A willingness to learn, take feedback, and grow into more complex technical work.