
Data Engineer
- Paris
- CDI
- Temps-plein
- Develop and maintain scalable, reliable, and high-performance data pipelines to process, transform and load data into our data warehouse.
- Collaborate with software engineers, data scientists, business and product development teams
- Optimize data pipelines for performance and cost-efficiency, leveraging best practices and appropriate technologies.
- Implement data quality and validation checks to ensure accuracy and consistency of data.
- Document data pipelines, processes and workflows for internal reference and knowledge sharing.
- A degree in computer science, information systems or related field.
- At least 3 years’ experience as Data Engineer with track record of building and maintaining data pipelines.
- Proficiency in Python, including performance optimization techniques
- Fluency in Linux shell scripting
- Knowledge of Business intelligence and Data Visualization tools such as Tableau/PowerBI/Qlik
- Expertise in processing and storage of large-scale time-series data and knowledge of related technologies. Knowledge of KDB is a strong plus.
- Strong SQL and relational database experience
- Familiarity with cloud compute platforms is a plus.
- Understanding of software development life cycle
- Interest in automated testing and continuous integration
- A drive to learn and master new technologies and techniques
- Comfortable in a fast-paced, dynamic environment
- Excellent communication and collaboration skills
- Financial industry experience is preferred but not required
- We respect and value the people we work with
- We are unified through a common purpose
- We embrace diversity and strive for inclusion
- We value transparency, communicate honestly and share information openly
- We act with integrity in everything we do
- We don’t hide our mistakes, and we learn from them
- We act with a sense of urgency and decisiveness
- We are adaptable, responsive and embrace change
- We take smart risks
- We are positively driven to make a difference and challenge the status quo
- We focus on and encourage personal leadership
- We motivate each other with our ambition
- We deliver maximum value to our customers and stakeholders
- We take ownership and are accountable for the outcome
- We reward and celebrate performance