OBS! Ansökningsperioden för denna annonsen har
passerat.
Arbetsbeskrivning
Are you interested in being involved in the biggest, data driven transformation of transport solutions in history? We are in the middle of our digitalization journey, and you are welcome to join and help us drive analytics and artificial intelligence initiatives which enable new business models.
We are looking for Data Engineers to develop and optimize data pipelines and work together with Data Scientists and other experts who focus on generating business value out of data. You will work with the latest technology, in agile product teams which discover data to create innovative services.
These are challenges waiting for you:
You ingest and process data coming from our business application, factory equipment (Industrial Internet of Things), products (Vehicle Logged Data), as well as external sources. You will organize both structured and unstructured data to enable development of new services, such as preventive maintenance of vehicle, fuel consumption and battery lifetime optimization and many more innovative services which are changing our business models.
Your typical day at work will be filled with the following activities:
Build complex data pipelines in Microsoft Azure.
Optimize existing data pipelines.
Support in building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources to Azure.
Work closely with data analysts and data scientists to provide required data structures and enable new insights .
Keep the data secure across the end-to-end solutions.
Evaluate and improve existing data analytics solutions.
Develop your competences, learn new tools and ways of working.
This is you:
A data engineer with 4+ years of experience and relevant education background.
You are familiar with Azure Data Analytics, Spark, Databricks.
You have strong ETL skills and experience with data processing tools, such as Informatica PC/IICS, PySpark.
You have significant experience in processing data in scription languages (Python)
Databases (like SQL server or Netezza) don’t have any secret for you.
You are comfortable working in a diverse, complex, and fast-changing landscape of data sources.
You communicate fluently in English.
You are proactive problem solver with innovative thinking and a strong team player.
Good to have:
Knowledge of other services and tools used to ETL workflows.
Experience with business intelligence platforms, such as Microsoft SSIS/SSAS/SSRS, Trradata, IBM Netezza.
Familiarity with Microsoft Power BI or other data visualization tools such as Qlik, SAP Business Objects.
Familiarity with database management systems, online analytical processing (OLAP)
Experience in AGILE project methodology and practice.
This is what we can offer you:
Being a part of a product team focusing both on maintenance and innovations.
A steep learning curve with a state of the art and individualized training program.
Collaborative environment in Swedish organizational culture.
Work-life balance: we make sure you enjoy quality time away from work.
Remote work opportunities, employment contracts, and flexible working hours.
Clear career path & extensive development opportunities such as mentoring or coaching programs.
Private healthcare (available also onsite)
Participation in international projects and different. pieces of training.
Unlimited access to learning including Azure academy, Pluralsight, and many more.
The seats are filled on an ongoing basis, we encourage you to apply as soon as possible! Apply by sending your CV and application in English. Please state clearly in your application your expected graduation date and for which country you are applying.
We are very much looking forward to hearing from you!
For more questions ,please do not hesitate to reach out to Jonas Widriksson Chapter Lead Data Architecture Sweden at jonas.widriksson@volvo.com.
Union representatives for Swedish applicants:
Akademikerna – Therese Koggdal, +46 470 387855
Unionen - Johan Svedberg, +46 31 3222712
Ledarna – Ulrika Holmberg, +46 31 3225071
Kindly note that due to GDPR, we will not accept applications via mail. Please use our career site.