Senior Data Engineer @ Volvo Group
(práce v Polsku)

Senior Data Engineer @ Volvo Group

Polsko

• You are graduated with a Masters degree in Computer Science, Data Engineering or any related field
• Data & Engineering has been your world for 4-5 years now
  
• Databases (like SQL server) don’t have any secret for you
  
• You have strong ETL skills and experience with data processing tools like Informatica Powercenter, Informatica Intelligent Cloud Services,
• Development with SSIS
• .NET knowledge - reading and writting code
• Python skills
• You are comfortable working in a diverse, complex and fast-changing landscape of data sources
• You care about agile software processes, data-driven development, reliability, and responsible experimentation
• Fluent in English
• You are a proactive problem solver with innovative thinking and a strong team player.
• Available to visit office at Wrocław two times a week

Volvo Group Digital & IT is looking for a Senior Data Engineer!   
Are you up for a new challenge and interested in joining a high-performing, global and diverse team of skilled professionals? Here is your chance! We are in the middle of our digital transformation and we need your expertise, your curiosity, and your drive to take an active role in it.   

Volvo Group Digital & IT manages the Group’s overall IT strategies and has the end-to-end responsibility for all development, delivery, support of IT solutions and services for the Volvo Group.   
We are looking for Senior Data Engineer – to support our data and productization journey to the cloud. You will contribute to our top-notch cloud projects focusing on the development of data pipelines in Azure Data Factory and Databricks. 

,[Providing data in the appropriate format, granularity and accuracy to the platform and end-users on on-prem and Azure environments , Using modern data preparation, integration tools , Implementing and improving ETL workflows , Work in a cross-functional agile team and international teams (France, Poland, India, Sweden, Belgium) to continuously experiment, iterate and deliver on new product objectives , Pre-process, clean and structure data to facilitate data exploration and advanced analytics/Machine Learning activities.] Requirements: Azure Additionally: Training budget, Private healthcare, Flat structure, Small teams, International projects, Free coffee, Bike parking, Free parking, In-house trainings, Startup atmosphere, No dress code.

Kategorie

data

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