Data Engineer

Your contributions to organisation's growth:

• 
  Maintain & develop data platforms based on Microsoft Fabric for Business Intelligence & Databricks for real-time data analytics
• .Design, implement and maintain standardized production-grade data pipelines using modern data transformation processes and workflows for SAP, MS Dynamics, on-premise or cloud
• .Develop an enterprise-scale cloud-based Data Lake for business intelligence solutions
• .Translate business and customer needs into data collection, preparation and processing requirements
• .Optimize the performance of algorithms developed by Data Scientists
• .General administration and monitoring of the data platforms

.Competencie

• s:Working with structured & unstructured dat
• a.Experienced in various database technologies (RDBMS, OLAP, Timeseries, etc.
• ).Solid programming skills (Python, SQL, Scala is a plus
• ).Experience in Microsoft Fabric (incl. Warehouse, Lakehouse, Data Factory, DataFlow Gen2, Semantic Model) and/or Databricks (Spark
• ).Proficient in PowerB
• I.Experienced working with API
• s.Proficient in security best practice
• s.Data centered Azure know-how is a plus (Storage, Networking, Security, Billing

).Expertise you have to bring in along wi

• th;Bachelor or Master degree in business informatics, computer science, or equ
• al.A background in software engineering (e.g., agile programming, project organization) and experience with human centered design would be desirab
• le.Extensive experience in handling large data se
• ts.Experience working at least 5 years as a data engineer, preferably in an industrial compa
• ny.Analytical problem-solving skills and the ability to assimilate complex informati
• on.Programming experience in modern data-oriented languages (SQL, Pytho
• n).Experience with Apache Spark and DevO
• ps.Proven ability to synthesize complex data advanced technical skills related to data modelling, data mining, database design and performance tuni
• ng.English language proficien

cy.Special requireme

• nts:High quality mindset paired with strong customer orientation, critical thinking, and attention to det
• ail.Understanding of data processing at s
• caleInfluence without author
• ity.Willingness to acquire additional system/technical knowledge as nee
• ded.Problem sol
• ver.Experience to work in an international organization and in multi-cultural te
• ams.Proactive, creative and innovat