Flowdesk is seeking a highly motivated Data Engineer to join the team and managed by the Quentin, the Lead Data!
The data engineer will be an integral part of the growing data team, working closely with our trading and quantitative departments to provide a platform and tools to answer their analytical needs. The data platform revolves around Dagster deployed on Kubernetes for the orchestration, dbt on BigQuery for the transformations, and Looker for the visualization.
Among our current challenges, we are currently focusing on the real-time ingestion and processing of terabytes of market data.
Responsibilities
- Design, build, and maintain efficient, scalable, and reliable batch and streaming data pipelines to support Flowdesk's trading infrastructure.
- Develop and maintain data warehouses, data lakes, and other data management systems with a strong focus on logical and physical modeling.
- Contribute early on to the definition of the data team's data products to maximize ease of access, data quality, and related documentation.
- Collaborate with the software engineering team to integrate data-related functionality into Flowdesk's trading infrastructure and other applications.
- Leverage cutting-edge data engineering technologies to continually improve the speed, reliability, and scalability of Flowdesk's data processing capabilities.
- Develop and maintain strong processes and procedures for data quality control, data validation, data documentation and, data integration.
- Collaborate with cross-functional teams including traders, developers, and compliance officers to ensure that all data used by Flowdesk is accurate, timely, and compliant with relevant regulations and requirements.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- 3+ years of experience in data engineering or related field.
- Awareness of software, data, and analytics engineering best practices (e.g. programming standards, data modelization, code idempotency....)
- General understanding of systems architecture and concepts (distributed computing, lake-house architecture, ci/cd workflows...)
- Experience optimizing modern data warehousing platforms (BigQuery is a plus).
- Strong communication skills and ability to work collaboratively in a fast-paced international environment.
- Knowledge of the data engineering ecosystem (contribution to open source projects is a plus).
- Strong analytical and problem-solving skills with a keen attention to detail.
Benefits
🌍 International environment (English is the main language)
🚃 50% of transportation costs & a sustainable mobility agreement
🍔 Swile lunch voucher (€9.25 per day, 60% covered)
🏥 100% Alan Blue covered for you and your children
💻 Top of the range equipment: Macbook, keyboard, laptop stand, 4K monitor & headphones
🎉 Team events and offsites
🔜 Coming soon : gym memberships, international mobility & lot of other cool benefits !
Recruitment process
👀 Are you interested in this job but feel you haven't ticked all the boxes? Don't hesitate to apply and tell us in the cover letter section why we should meet!
📝 Here's what you can expect if you apply:
- HR interview (30')
- Technical test
- Technical interview (60')
- Chat with the Head of People (30') and the Head of Department (30')
On the agenda: discussions rather than trick questions! These moments of exchange will allow you to understand how Flowdesk works and its values. But they are also (and above all) an opportunity for you to present your career path and your expectations for your next job!
