Data engineer

Описания нет

• You further develop the data pipelines (ETL/ELT).
• You build robust, scalable data warehouse and data lake structures.
• You implement automated processes for validating, cleaning, and ensuring the quality of internal data.
• You develop high-performance APIs and data interfaces for business analysts, risk managers, and data science teams.
• You support the migration of on-premise legacy systems to secure hybrid or dedicated cloud environments.
• You monitor, analyze, and optimize the performance, runtimes, and costs of big data queries and system resources.
• You support the Data Lineage team in building and maintaining transparent data governance and data cataloging.

• Successfully completed a technical degree.
• At least 5 years of full-time professional experience in IT, including at least 2 years with the same employer.
• At least 3 years of full-time professional experience as a Data Engineer.
• Fluent in SQL and good at Python in Bash.
• Good knowledge of database servers, as well as experience with at least one of the following technologies: Jenkins, Nexus, Airflow, Bitbucket, Ansible.
• Initial experience with cloud systems.
• Strong communication skills, experience with interdisciplinary teams, accuracy, agile methods.
• Business-fluent German (C1).

• Work at a spin-off of one of Germany's most successful banks.
• Deliver high-priority IT projects.
• Enjoy flexible working hours and the option to work from home up to 50% of the week.
• Come to the beautiful office in the heart of Berlin.
• Take part in regular company events and sports activities, such as a summer party, Christmas party, table tennis, or a company run.
• 30 + 2 vacation days.