IngestOps Engineer Data Engineer

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.