IngestOps Engineer Data Engineer (f/m)

We are looking for an experienced professional to join a team responsible for data ingestion, processing, and loading. This position combines data engineering responsibilities with the operational maintenance of data-processing environments.

Responsibilities

• Build and maintain data ingestion processes for external systems.

• Validate, transform, and prepare data for downstream processing.

• Monitor data pipelines and troubleshoot operational issues.

• Analyse logs and perform daily operations in a Linux environment.

• Create, analyse, and optimise SQL queries.

• Identify performance bottlenecks and improve data-processing efficiency.

• Ensure the quality, integrity, and consistency of data loaded into target systems.

• Cooperate with technical and business teams.

• Participate in deployments and the maintenance of data-processing solutions.

Requirements

• Very good knowledge of Linux, including log analysis, file operations, monitoring, and command-line tools.

• Very good knowledge of SQL, including joins, aggregations, stored procedures, and performance optimisation.

• Experience in building or maintaining data ingestion and integration processes.

• Practical knowledge of data validation, cleansing, and transformation

• Ability to analyse complex data flows and troubleshoot technical issues

• Experience working with large data volumes

• English proficiency sufficient for effective communication in an international project environment

• Independence, accountability, and strong problem-solving skills.

Nice to have

• Knowledge of Python.

• Experience with Apache Spark, PySpark, or the Hadoop ecosystem.

• Knowledge of Apache Airflow or other workflow orchestration tools.

• Experience with Apache Kafka and stream processing.

• Knowledge of Data Lake environments and ETL ELT processes.

• Experience with cloud solutions, particularly AWS.

• Familiarity with Docker, CI CD, Databricks, or Snowflake.