Volvo Group is looking for Azure Data Engineers!
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 8+ years of relevant experience with possible DevOps skills 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.
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
Able to provision resources on Azure
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:
We are looking for experienced data engineer with 8+ years of experience and relevant education background
You have good hands-on skills on Azure Data Analytics, Spark, Databricks (Cost Optimization Techniques, Cluster Optimization, Performance Tuning)
You have strong hands-on ETL skills and experience in building data pipelines using Databricks (with good knowledge of spark) and orchestrating Data workloads on Azure Data Factory
Experience in handling real-time streaming/transactional data preferably Spark-Streaming, Kafka/EventHubs/EventGrid/Stream Analytics/Service Bus etc
You have significant experience in processing data in scripting languages (Python, Pyspark, Scala)
Working with Git and following Git workflow (Branching, Managing conflicts, etc.)
Databases (like SQL server or Netezza) don’t have any secret for you
You are comfortable with DevOps (or DevSecOps) and are able to provision resources in Azure
You are comfortable working in a diverse, complex, and fast-changing landscape of data sources
Extras – good to have:
Experience in AGILE project methodology and practice with ARM Templates/Bicep on the DevOps front
Understanding the DevOps Architecture (Agent Pools, Accounts, Var Groups, Templating, etc.)
Azure Networking model (public and private connectivity, VNET injection, etc.)
Familiarity with Microsoft Power BI or other data visualization tools such as Qlik, SAP Business Objects
Knowledge of other services and tools used to ETL workflows like Informatica IICS
Experience with business intelligence platforms, such as Microsoft SSIS/SSAS/SSRS, Teradata, IBM Netezza
Familiarity with database management systems, online analytical processing (OLAP)
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
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
