Senior Data and BI / Ai Engineer (non SAP)

We are ZF R&D Tech Center in Romania!

Our presence in Automotive R&D market in Timisoara begun in 2007 when we started as BeeSpeed – Timisoara Engineering Center having a strong partnership with ZF Group along this journey. All our services contributed to the global mission of developing a safer vehicle for the driver and the passengers.

Starting with 1st of January 2019, we became part of the ZF Group, which is a global leader in driveline and chassis technology as well as active and passive safety technology. The company has a global workforce of more than 165,000 employees with approximately 168 locations in some 32 countries. In 2022, ZF achieved sales of 43.8 billion euro.

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.

Offering:

-Working in a multidimensional environment with various stakeholders involved;

-Attractive career and development opportunities in an international environment;

-Flexible working hours and modern working environment;

-Cooperation with the general IT management.