Dataingenieur

Dataingenieur, or data engineer, is a professional responsible for designing, building, and maintaining the data architecture and pipelines that enable data analytics and data science. Their work focuses on making data reliable, accessible, and usable for downstream consumers such as analysts, data scientists, and business users.

Core responsibilities include ingesting data from various sources, cleaning and transforming data, modeling data for storage, and ensuring data quality and governance. They design and maintain data pipelines, implement ETL or ELT processes, manage metadata, and optimize performance of data workflows. They also select appropriate storage solutions, such as data warehouses, data lakes, or lakehouses, and ensure secure access controls and compliance.

Common technologies and platforms include SQL and programming languages like Python, Java, or Scala; ETL/ELT tools and workflow orchestrators such as Apache Airflow, Apache NiFi, or Luigi; data storage systems including relational databases, columnar stores, data warehouses (e.g., Snowflake, Amazon Redshift, Google BigQuery), and data lakes (e.g., Amazon S3, Azure Data Lake). They work with big data frameworks such as Apache Spark and streaming platforms such as Apache Kafka, and they often operate in cloud environments (AWS, Azure, GCP).

Typical qualifications are a degree in computer science, information systems, software engineering, or a related field, with strong programming and database skills. Practical experience in data modeling, data integration, and performance tuning is common. The role interacts closely with data analysts, data scientists, and business stakeholders, and requires problem-solving, attention to data quality, and communication skills. Career progression may lead to senior data engineer, data platform architect, or engineering manager.