Senior Data Engineer

Pleo

Pleo is in search of a Senior Data Engineer to become a part of their Business Analytics team. This team focuses on providing robust data solutions that boost Pleo's commercial success and strategic projects, enhancing revenue operations and financial planning. The role involves collaboration with various teams to drive innovation and leverage cutting-edge technology to build impactful solutions.

In this role you can expect to have the responsibilities:

• Develop and enhance data strategies alongside product and business teams to support new features.
• Drive key strategic projects with leadership and hands-on involvement.
• Support various teams in delivering impactful data and analytics solutions.
• Build and manage scalable data products supporting domain goals.
• Collaborate with leadership to align data strategies with company objectives.
• Enhance data infrastructure and pipelines for improved scalability and quality.
• Experiment with advanced technologies for impactful data stack innovation.
• Mentor teams to foster growth and develop a world-class data team.

This role comes with the following benefits:

• Pleo card for company spending
• Lunch catering or lunch allowance
• Private health insurance
• 25 days holiday plus public holidays
• Flexible remote working options
• Option to purchase additional holiday days
• Access to mental health and wellbeing support
• LinkedIn Learning subscription
• Paid parental leave

This role requires you to have:

• Expertise in Python and SQL
• Proficiency with BigQuery, AWS, dbt, and Airflow
• Strong background in data modelling
• Experience building scalable data pipelines
• Ability to translate business and product needs into technical solutions

You would benefit from having:

• A passion for modern data tools and technology
• Capability in strategic decision-making
• Natural curiosity for experimenting with new tech

Pleo emphasizes diversity and inclusion, encouraging applications from all backgrounds. They value the importance of company values such as customer championing, team success, and innovation. Data processing details are noted in their FAQs.