As a Data Engineer, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join:
Design and development of a universal data platform for global aerospace companies. This Azure and Databricks-powered initiative combines diverse enterprise and public data sources. The data platform is in the early stages of development, covering the design of architecture and processes and allowing freedom for technology selection.
Design and development of the data platform for managing electric and hybrid vehicle data. This project involves building a data pipeline for electric vehicle data, processing thousands of signals efficiently through streaming and batch services. The data powers IoT applications for business intelligence, customer support, maintenance, and AI insights, offering a chance to work with cutting-edge technology in electric mobility.
Design of the data transformation and following data ops pipelines for a global car manufacturer. This project aims to build a data processing system for both real-time streaming and batch data. We’ll handle data for business uses like process monitoring, analysis, and reporting, while also exploring LLMs for chatbots and data analysis. Key tasks include data cleaning, normalization, and optimizing the data model for performance and accuracy.
responsibilities :
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.
requirements-expected :
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, and Databricks.
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.
offered :
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.
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
