Data Engineer

Summary

Join our Public Cloud Group, a team of over 400 employees across 16 EU locations, specializing in helping mid-sized companies modernize their IT infrastructure using public cloud solutions. We are seeking an experienced Data Engineer AWS to support our clients in developing and implementing innovative data solutions. Starting immediately, you will contribute to a dynamic and innovative team passionate about data and AI. We offer clear career paths, flexible work arrangements (on-site, hybrid, or remote), a modern tech stack, continuous training, and a strong company culture. This role involves designing, building, and operating a scalable data infrastructure, ensuring compliance, optimizing data pipelines, collaborating with stakeholders, and providing technical support.

Requirements

• Completed studies (Bachelor or Master) in computer science, mathematics, business informatics, information systems, or another quantitative field
• At least 5 years of professional experience in the data environment, e.g., as a Data Engineer or AI Engineer
• Negotiation-level German skills to comprehensively advise our clients
• Professional experience with the following technologies/tools: Big data tools: Spark, Elastic/OpenSearch, Hadoop, Kafka, Kinesis, etc
• Knowledge of relational SQL and NoSQL databases, such as MySQL or Postgres and DynamoDB or Cassandra
• Secure knowledge of AWS cloud data services: Kinesis, EMR, Redshift, Glue, Athena, etc
• Functional and scripting languages: Python, Java, Scala, etc
• Experience in the development and optimization of big data pipelines, architectures, and datasets

Responsibilities

• Develop, build, and operate a highly scalable and secure data infrastructure that enables the extraction, transformation, and loading (ETL) of data from various sources using SQL, cloud migration tools, and big data cloud technologies
• Ensure compliance with and adherence to compliance and security policies throughout the entire data lifecycle
• Optimize the data pipeline for ingestion, storage, processing, and querying of various data types, including real-time events, IoT data, and unstructured data such as images, audio, video, and documents
• Collaborate with internal stakeholders, including business leadership, product, data, software development, and design teams, to solve data-related technical challenges and continuously adapt the data platform to business requirements
• Provide technical support and consulting to clients and internal stakeholders regarding the data platform and its usage
• Evaluate and implement new technologies and tools to continuously improve and expand the data platform

Benefits

• Clear career paths and top development perspectives within the Public Cloud Group
• A lot of freedom through flexible scheduling and the possibility to work on-site, hybrid, or remotely from wherever you feel most comfortable
• Modern technology stack and free hardware choice
• Continuous training in courses and freedom to test new technologies
• Excellent market positioning and strong company growth
• Open communication and short decision-making processes in a corporate culture with flat hierarchies
• Diverse benefit program with e.g. mobility package (BahnCard, car sharing), etc
• 30 days of vacation
• Regular company and team events