Asks for

The ad says“You are familiar with containerization and workflow orchestration tools such as Docker and Airflow.”
The ad says“You are experienced with cloud environments (preferably Azure, alternatively AWS or GCP).”
The ad says“You are experienced with cloud environments (preferably Azure, alternatively AWS or GCP).”
The ad says“You are experienced with cloud environments (preferably Azure, alternatively AWS or GCP).”
The ad says“You understand data lakes, data warehouses, and streaming technologies (e.g. Kafka, Kinesis).”
The ad says“You understand data lakes, data warehouses, and streaming technologies (e.g. Kafka, Kinesis).”
The ad says“You ideally have experience with distributed processing systems like Spark, Snowflake, or Databricks.”
The ad says“You are familiar with containerization and workflow orchestration tools such as Docker and Airflow.”
The ad says“You have hands-on experience in building and managing ETL/ELT pipelines and data workflows.”
The ad says“You are experienced with cloud environments (preferably Azure, alternatively AWS or GCP).”
The ad says“You have experience with Infrastructure as Code (e.g. Terraform) to manage scalable, reproducible setups.”
The ad says“You understand data lakes, data warehouses, and streaming technologies (e.g. Kafka, Kinesis).”
The ad says“You understand data lakes, data warehouses, and streaming technologies (e.g. Kafka, Kinesis).”
The ad says“You have strong experience in Python and SQL as foundational tools for data integration, transformation, and automation.”
The ad says“You ideally have experience with distributed processing systems like Spark, Snowflake, or Databricks.”
The ad says“You ideally have experience with distributed processing systems like Spark, Snowflake, or Databricks.”
The ad says“You have strong experience in Python and SQL as foundational tools for data integration, transformation, and automation.”
The ad says“You understand data lakes, data warehouses, and streaming technologies (e.g. Kafka, Kinesis).”
The ad says“You have experience with Infrastructure as Code (e.g. Terraform) to manage scalable, reproducible setups.”

What client look for:

You design, build, and optimize scalable data pipelines and architectures that form the foundation for analytics and AI solutions.
You ensure that data from various sources is efficiently integrated, transformed, and made available for business and analytics use cases.
You collaborate closely with Data Scientists, Consultants, and Product Owners to deliver end-to-end data solutions with measurable business impact.
You develop and maintain ETL/ELT processes that ensure data quality, reliability, and performance.
You take ownership of cloud-based data infrastructures (Azure, AWS, or GCP) and contribute to their continuous improvement.
You leverage containerization and workflow tools (e.g. Docker, Airflow) to build robust, automated, and reproducible systems.
You develop solutions with a clear end-to-end mindset, from raw data ingestion to production deployment.
You actively contribute to the evolution of our data strategy, tooling, and best practices within Client.

Requirements

What the client requires:

You hold a degree with excellent grades in Computer Science, Data Engineering, Information Systems, Mathematics, Physics, or a related field.
You have strong experience in Python and SQL as foundational tools for data integration, transformation, and automation.
You have hands-on experience in building and managing ETL/ELT pipelines and data workflows.
You are experienced with cloud environments (preferably Azure, alternatively AWS or GCP).
You are familiar with containerization and workflow orchestration tools such as Docker and Airflow.
You have experience with Infrastructure as Code (e.g. Terraform) to manage scalable, reproducible setups.
You understand data lakes, data warehouses, and streaming technologies (e.g. Kafka, Kinesis).
You ideally have experience with distributed processing systems like Spark, Snowflake, or Databricks.
You ensure data quality, observability, and monitoring as integral parts of your solutions.
You enjoy cross-functional collaboration with Data Scientists, Product Owners, and clients.
You are a service-oriented and communicative team player with a high degree of self-responsibility and passion for your work.
You have strong communication and presentation skills, and can explain complex topics clearly.
You speak English fluently; regional languages are an advantage.

Benefits

What you can expect:

Your impact is crucial: You actively shape the digital future in a highly motivated & smart team in direct cooperation with the founders & partners, creating real added value by linking strategy and implementation.
Your hard work pays off! You benefit from attractive salary packages, participation in sales success, and exclusive investment opportunities. In addition, we promote our top talents through the 'Digital Leaders of Tomorrow' program and thus offer you further exciting benefits.
Your development: From day one, you will be supported on your journey through a wide range of development opportunities, quickly take on responsibility, and have the opportunity to shape your individual career at the company. You will become a digital leader!
Your working environment: You will be immersed in a diverse and family-friendly environment with a strong team spirit, benefitting from a flexible and hybrid working model in one of our offices in Munich, London, Amsterdam, Milan, and Berlin. 
Your view into the future: You will work at the cutting edge and gain valuable insights and practical experience with a focus on digital business models and data-driven value creation in eight forward-looking industries.
Your benefits on top: You can look forward to regular team events and joint sports sessions, an attractive company pension scheme, access to local fitness and wellness partnerships, as well as mobility and meal allowances, and a wide range of other company benefits.