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🧭 Full-Time
🔍 Financial Technology
- Strong background in building and managing data infrastructure at scale.
- Expertise in Python, AWS, dbt, Airflow, and Kubernetes.
- Ability to translate business and product requirements into technical data solutions.
- Experience in mentoring and fostering collaboration within teams.
- Curiosity and enthusiasm for experimenting with new technologies to solve complex problems.
- Hands-on experience with modern data tools and contributing to strategic decision-making.
- Partnering with product and business teams to develop data strategies that enable new features and improve user experience.
- Driving key strategic projects across the organisation, dipping in and out as needed to provide leadership and hands-on support.
- Supporting multiple teams across Pleo in delivering impactful data and analytics solutions.
- Building data products that directly support Pleo's product roadmap and business goals.
- Collaborating with the VP of Data and other data leaders to set the vision for Pleo’s data strategy and ensure alignment with company objectives.
- Enhancing our data infrastructure and pipelines to improve scalability, performance, and data quality.
- Experimenting with and implementing innovative technologies to keep Pleo’s data stack at the forefront of the industry.
- Mentoring engineers, analysts, and data scientists to foster growth and build a world-class data team.
AWSPythonApache AirflowKubernetesData engineering
Posted 5 days ago
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