Data Engineer (Python)
About The Position
Future Connections is a company that understands technology and the future of telecommunications by helping network operators and service providers bridge the gap between legacy and innovative technologies such as Cloud, 5G, Big Data, and Machine Learning. They develop and deliver customized services and products that enhance, strengthen, and automate business processes, providing new levels of efficiency through expert guidance based on a deep understanding of the Telco sector, particularly in network planning, design, optimization, and automation. The company fosters an environment that promotes teamwork and flexibility, with a working model adapted to each role and team, combining remote, hybrid, and office-based approaches while supporting ongoing professional development.
Requirements
- 7+ years of experience as a Backend Engineer working with Python
- Advanced expertise in data analysis and transformation using Python libraries such as Pandas and NumPy, applied to large-scale and production-grade datasets.
- Strong experience building ETL/data processing pipelines
- Solid experience with Python and relevant frameworks/tools
- Experience working with relational and NoSQL databases
- Hands-on experience with cloud platforms (AWS, Azure or GCP)
- Strong experience with Docker and containerized environments
- Ability to analyze and work with data, understanding structure, anomalies, and patterns
- Experience handling large-scale datasets
- Strong problem-solving and analytical skills
- English level B2+
Nice To Haves
- Experience with big data tools (Spark, Kafka, Airflow, etc.)
- Knowledge of data modeling and data architecture
- Exposure to ML/AI pipelines or data platforms
- Background in telecom or data-intensive industries
Responsibilities
- Design, develop and maintain backend services in Python
- Build and optimize ETL pipelines for large-scale data processing
- Work with structured and unstructured data, ensuring data quality and consistency
- Develop data ingestion, transformation, and integration processes
- Deploy and manage applications in cloud environments (AWS, Azure or GCP)
- Containerize applications using Docker and contribute to scalable architectures
- Analyze datasets to extract insights and support technical decision-making
- Ensure code quality, performance, and maintainability
Benefits
- Competitive salary
- Health insurance
- Flexible Compensation Plan
- Annual training budget
- Time flexibility (flexible entry and exit times)
- Reduced working day on Fridays and during Summer (July and August)
- Involvement in cutting-edge technology projects (national and international)
- Flexible working model (remote, hybrid, or office-based)
- Great work environment
- Great professionals
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
