Data Engineer
Core
Build and evolve the foundations for Business Intelligence, Machine Learning, and AI activities within the telecom sector.
Role type
Junior Data Engineer
Builds
Data pipelines, data models, and data acquisition/transformation flows for a telecom operator.
Domain
Telecom / Data Engineering
Deliverable
production ML models
Required skills
SQL, Python, ETL/ELT concepts, data modeling, rapid learning
Preferred skills
Airflow, dbt, SQLmesh, NiFi, NoSQL (Cassandra, ElasticSearch, MongoDB), Columnar DBs (Clickhouse, DuckDB), Distributed storage/querying (S3, Iceberg, Arrow, Dremio, Polars, Spark), Event-driven architectures (Kafka, Flink), DevOps (GitOps, CI/CD), Docker, Kubernetes, BI, ML/AI
Technologies
Python, SQL, Airflow, dbt, SQLmesh, NiFi, Kafka, Flink, Docker, Kubernetes, S3, Iceberg, Spark
Responsibilities
Standardize and optimize data acquisition and transformation processes; Develop ETL/ELT pipelines and evolve data models; Contribute to data governance, pipeline observability, and performance optimization; Collaborate with Data professionals across BI, ML, and AI domains
Seniority
Junior (0–2 years experience)