(Senior) Data Engineer

Senior level • Full-time • On-site • #StandWithUkraine
StandWithUkraine
7

Job Summary

As a (Senior-) Data Engineer you are responsible for handling data pipelines and designing data architecture. You will be joining a fast-growing team of consultants and data specialists to bring cutting edge technological solutions to our clients. You will design architectures for data integration and processing to provide high quality datasets and utilize Big Data processing tools to build data pipelines on modern technology stack. To set the foundation for a complete data architecture, you will set up data management frameworks and help organizations to create their data governance.

In this role, you will take responsibility for project scoping, data collection, data extraction, data processing, data cleaning and enrichment to support the team in the conceptual development and implementation of data platforms. Your area of expertise covers the creation of a complete, end-to-end data pipeline: from the import of structured and unstructured raw data, its processing and transformation, and metadata management to the implementation of scalable analytics platforms.

Qualifications

  • Degree in a scientific field (Information Systems, Computer Science, Statistics, Machine Learning, Physics, Mathematics, etc.) and have demonstrated industry experience in data engineering
  • Database Technologies – Knowledge of working with data models and databases (including relational and document-based and key-value stores; e.g., Postgres, SQL Server, Cassandra, Redis)
  • Cloud Technologies – Experience in working on cloud infrastructures and cloud-based analytics systems (e.g., AWS, Azure, Google Cloud Platform etc.)
  • Big Data Technologies – Experience in handling Big data and (e.g., Apache Hadoop Ecosystem (Hive, HBase, Impala, Oozie etc.), Apache Spark)
  • SAP Technologies – Working knowledge of SAP Technologies is beneficial (SAP S4/HANA, SAP BW, SAP Fiori etc.)
  • Streaming Technologies - Understanding of event-driven and log-structured architectures (Kafka, Flink, Kinesis), streaming and batch processing methods and data transfer protocols
  • Programming Languages - Strong coding knowledge in common programming and query languages (Java, Scala, SQL, Python)
  • Data Management – Experience in defining and implementing data management frameworks (including data governance, metadata management, data lifecycle etc.)
  • Demonstrable knowledge of applying Data Engineering best practices (coding practices, testing (unit, system, acceptance, black box etc.), code review)
  • Very good command of German and English (both spoken and written)

We offer you:

  • Exciting international environment, diverse projects and customers as well as open minded colleagues
  • Extensive training opportunities in data analytics and data engineering
  • Development opportunities as data engineering expert (with limited mobility requirements) and if desired career paths in consulting (with high mobility requirements)

    Apply following this link or send your CV to [email protected]

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