Senior Data Engineer (Business Intelligence / Artificial Intelligence)

Candidate profile:

Degree in computer science, business information technology or related disciplines with 5 years of analysis and development experience in analytics and BI environments;

Experience with data engineering in MS SQL (SSIS, SSRS, ETLS), MS azure (ADF, datalake, databricks & Python), BI tools (Power BI) and IT systems and interfaces;

Experience in DevOps Practices. (Project management is a plus);

Proven experience in analyzing customer requirements , data engineering and developing data and BI products/solutions;

Self organizational skills, Analytical mindset, problem solving thinking and the Ability to communicate in English with internal and external technical and non-technical audiences.

Job description:

Understand and evaluate business needs of the different domains Production, Quality and Product Development in the Analytics area  and cooperate with the business stakeholders

Creation of IT concepts of analytics solutions in the non-SAP environment (Microsoft environment – both on-premise (e.g. SQL) as well as cloud (MS Azure/AWS).

Build, implement, maintain and support (Level3) as a solution owner the different analytics solutions that are in your responsibility

Document, track, and monitor any incidents/ problems to ensure a timely resolution and communicate the service information to the business experts

Analyze and organize raw data, Build and maintain data systems and pipelines, Analysis & optimizations of data flows and prepare data (science) models for Reporting, BI and advanced analytics purposes.