Data Engineer (German speaking)

Posted 5 hours 16 minutes ago by Logix 2

Contract
Not Specified
Multilingual Jobs
Hessen, Frankfurt am Main, Germany, 60261
Job Description

Data Engineer

  • More than 8+ years of experience in various data architecture and engineering roles within data & analytics
  • Collaborate with stakeholders to understand and document data requirements, business rules, and objectives for the data platform.
  • Design and develop conceptual, logical, and physical data models that accurately represent the organization's data assets and support its business needs.
  • Ensure designs meet documented objectives for reliability, scalability, supportability, user experience, security, governance, performance and more
  • Implement data modelling best practices, including normalization, denormalization, and indexing, to ensure data integrity, performance, and scalability.
  • Work closely with data engineers and architects to integrate data models into the overall platform architecture, ensuring efficient data processing and storage.
  • Evaluate and recommend appropriate data storage technologies and database management systems based on project requirements and constraints.
  • Drive data modelling automation to optimize solutions time to market, increase solutions transparency and overall quality as well as code portability
  • Collaborate with data analysts to understand analytical requirements and ensure that data models support effective data analysis and reporting.
  • Communicate effectively with technical and non-technical stakeholders to present and explain data models, design decisions, and recommendations.
  • Good understanding of key data modelling concepts & patterns related to data systems architecture.
  • 5+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).
  • Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
  • Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning).
  • Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models
  • Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
  • Hands-on modelling, design, configuration, installation, performance tuning, and sandbox POC.
  • Work proactively and in dependent