Data Science • Business Intelligence • Data Warehousing • Machine Learning • Artificial Intelligence
December 6
Data Science • Business Intelligence • Data Warehousing • Machine Learning • Artificial Intelligence
• Design scalable data processing pipelines for streaming and batch processing using Big Data technologies like Databricks, Airflow and/or Dagster. • Contribute to the development of CI/CD and MLOps processes. • Develop applications to aggregate, process, and analyze data from diverse sources. • Collaborate with the Data Science team on Machine Learning projects, including text/image analysis and predictive model building. • Develop and organize data transformations using Databricks/DBT and Apache Airflow. • Translate business requirements into technical solutions and ensure optimal performance and quality.
• At least 1,5 years of commercial experience implementing, developing, or maintaining Big Data systems. • Strong programming skills in Python: writing a clean code, OOP design. • Experience in designing and implementing data governance and data management processes. • Familiarity with Big Data technologies like Airflow, Dagster, Databricks, or Snowflake. • Experience implementing and deploying solutions in cloud environments (with a preference for Azure or AWS). • Knowledge of how to build and deploy Power BI reports and dashboards for data visualization. • Excellent understanding of dimensional data and data modeling techniques. • Excellent communication skills and consulting experience with direct interaction with clients. • Ability to work independently and take ownership of project deliverables. • Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field.
• Work in a supportive team of passionate enthusiasts of AI & Big Data. • Engage with top-tier global enterprises and cutting-edge startups on international projects. • Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces. • Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences. • Choose from various employment options: B2B, employment contracts, or contracts of mandate. • Make use of 20 fully paid days off available for B2B contractors and individuals under contracts of mandate. • Participate in team-building events and utilize the integration budget. • Celebrate work anniversaries, birthdays, and milestones. • Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching. • Get full work equipment for optimal productivity, including a laptop and other necessary devices. • Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.
Apply NowOctober 31
Data Engineer at Formula5, specializing in Microsoft Azure technologies.