Description

In this role, you will design and maintain data pipelines while collaborating with clients to create tailored solutions. Your day-to-day responsibilities will involve communicating technical concepts, developing high-quality datasets, and delivering projects in an Agile environment.

Requirements

• •University degree in computer science, software engineering, data science, or comparable education
• •At least 3 years in data or software engineering positions
• •Experience in designing, building, and maintaining data products
• •Understanding of data analysis, data visualization, and optionally data science
• •Experience with various data architectures
• •Experience with Cloud Data Platforms like Databricks, Snowflake, Microsoft Fabric, or Amazon Sagemaker
• •Practical data programming skills in Python and SQL
• •Hands-on skills or keen interest in technologies like Apache Spark, Delta Lake, Airflow, Kafka, Kubernetes, Terraform, FastAPI, and programming languages (Scala, R, Java, Typescript, or .NET)
• •Hands-on experience with relational and non-relational databases
• •Familiarity with big data infrastructures and concepts
• •Practical knowledge of handling varied types of structured and unstructured data
• •Experience with agile development and DevOps methodologies
• •Fluency in both German and English

Tasks

• •Design and implement data pipelines
• •Maintain data pipelines for optimal performance
• •Collaborate with clients to understand data needs
• •Develop tailored solutions for business insights
• •Communicate technical solutions to stakeholders
• •Develop, test, and monitor data processing pipelines
• •Extrapolate data sets to produce high-quality datasets
• •Ensure datasets are scalable and maintainable
• •Work collaboratively with Architects, Software Engineers, and Data Scientists
• •Understand the needs of data producers and consumers
• •Deliver projects using Agile methodologies
• •Continuously learn new technologies and concepts

Tools & Technologies

Benefits