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ai-инструменты
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описание
As a Data Engineering Manager, you will lead a team and create technology products that help people have the best experience they have ever had. We are looking for a leader with a strong passion for both technology and people, who is motivated to build outstanding products. The ideal candidate brings deep technical expertise across multiple technologies, a strong track record of delivery, and proven experience in building and leading high-performance engineering teams.
задачи
Design, implement, and test data pipelines, ETL/ELT processes, and data storage solutions
Build and maintain scalable, reliable, and high-performance pipelines for structured and unstructured data
Work with big data technologies and distributed systems to process and transform large datasets
Collaborate with data modelers, data scientists, and solution architects to ensure efficient data flows and optimal storage
Partner with data scientists and analysts to deliver clean, well-structured, and accessible data
Coordinate with integration teams and data source owners for smooth ingestion of data from multiple systems
Automate provisioning, deployments, and environment management for data platforms
Create and support APIs and data services for internal and external consumers
Ensure solutions meet requirements for scalability, performance, data quality, and governance
требования
Hands-on experience with ETL/ELT design and implementation
Familiarity with big data ecosystems (e.g., Spark, Hadoop, Kafka, Flink)
Experience with one or more cloud platforms (Azure, AWS, GCP) and modern data engineering tools (e.g., Databricks, Snowflake, BigQuery, Synapse)
Proficiency in programming languages such as Python, Java
Solid understanding of SQL and experience with both relational and non-relational databases
Experience with data modeling, schema design, and data partitioning strategies
Experience with version control (e.g., Git) and CI/CD practices
Familiarity with Agile development methodologies and test management basics
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
6+ years of professional experience in data engineering or related roles
Strong teamwork, communication, analytical thinking, and problem-solving skills
Fluent in German, both spoken and written
Curiosity and drive to continuously learn, adapt, and share knowledge
Будет плюсом: Knowledge of workflow orchestration tools (e.g., Airflow, Data Factory) is a plus; Background in the Energy and Commodities or Financial Services sector is a plus
условия
An inclusive workplace that promotes diversity and collaboration.
Access to ongoing learning and development opportunities.
Competitive compensation and benefits package.
Flexibility to support work-life balance.
Comprehensive health benefits for you and your family.
