Data Engineer for AI Stack (f/m/d) @ A1 Competence Delivery Center
Core
Build enterprise data pipelines to make data usable for the AIaaS platform, supporting AI, machine-learning, RAG, and operational automation use cases.
Role type
Senior Data Engineer (AI/ML Data Stack)
Builds
Reusable data ingestion, transformation, and orchestration patterns for the AIaaS platform
Domain
Telecommunications / AI & Machine Learning Data Infrastructure
Deliverable
production ML models | product features
Required skills
Python, SQL, data ingestion pipelines, ETL/ELT, data orchestration, data quality controls, metadata management, lineage tracking, idempotent pipeline design, containerized execution, Kubernetes
Preferred skills
Airflow, Airbyte, dbt, Spark, Kafka, Flink, vector databases, embedding pipelines, RAG ingestion, feature engineering
Technologies
Python, SQL, Kubernetes, Airflow, Airbyte, dbt, Spark, Kafka, Flink, Iceberg, Delta Lake, OpenMetadata, MLflow, Feast
Responsibilities
Design and implement batch, incremental, API-based, and file-based data-ingestion pipelines; Integrate the AIaaS platform with enterprise systems, databases, object storage, and SaaS services; Define processing patterns for transformation, enrichment, validation, deduplication, checkpointing, retries, and replay; Develop reusable connectors, Python jobs, orchestration workflows, and data-service APIs; Support RAG ingestion, document processing, embedding pipelines, and feature engineering; Work with security stakeholders on data classification, minimisation, and access controls.
Seniority
Senior, hands-on IC
