Data Engineer
Core
Build and evolve the foundations for Business Intelligence, Machine Learning, and AI activities within the Data Platform team.
Role type
Junior Data Engineer
Builds
Data pipelines, data models, and optimized data acquisition/transformation processes
Domain
Telecommunications / 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, Spark, S3, Iceberg, Docker, Kubernetes
Responsibilities
Standardize and optimize data acquisition and transformation processes; Develop ETL/ELT pipelines under team guidance; Contribute to data governance, pipeline observability, and performance optimization
Seniority
Junior (0-2 years experience)
