Principal Data Engineer

Posted 2 months agoViewed

💎 Seniority level: Principal

📍 Location: UK

🔍 Industry: Data infrastructure and enterprise technology

🪄 Skills: AWSPythonAgileData AnalysisData StructuresNosqlLinuxData modeling

Bachelor's degree.
Data pipeline development using data processing technologies and frameworks.
Agile or other rapid application development methods.
Data modeling and understanding of different data structures and their benefits and limitations under particular use cases.
Experience in Public Cloud services, such as AWS, with knowledge of core services like EC2, RDS, Lambda, Athena & Glue preferred.
Configuring and tuning Relational and NoSQL databases.
Programming or scripting languages, such as Python.
Test Driven Development with appropriate tools and frameworks.

Code, test, and document new or modified data pipelines that meet functional/non-functional business requirements.
Conduct logical and physical database design.
Expand and grow data platform capabilities to solve new data and analytics problems.
Conduct data analysis, identifying feasible solutions and enhancements to data processing challenges.
Ensure that data models are consistent with the data architecture.
Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

Posted 17 days ago

📍 Copenhagen, London, Stockholm, Berlin, Madrid, Montreal, Lisbon, 35 other countries

🧭 Full-Time

🔍 Financial Technology

🔧 Requirements

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.

💡 Responsibilities

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 17 days ago