Data Engineer - Data Analysis Methods and Tools

Who are we?
Volvo Cars is a company on a mission; to bring traditional car manufacturing into a connected, sustainable and smart future.
Since 1927, we have been a brand known for our commitment to safety, creating innovative cars that make life less complicated for our consumers. In 2010, we decided to transform our business, resulting in a totally new generation of cars and technologies, as well as steady growth and record sales. Today, we’re expanding our global footprint in Europe, China and the US, and we’re on the lookout for new talent.
We are constantly pushing our own skills and abilities to drive change in the automobile industry like never before. We are looking for innovative, committed people to join us in this endeavour and create safe, sustainable and connected cars. We believe in the power of people and will challenge and support you to reach your full potential. Join us and be part of Volvo Cars’ journey into the future.

What’s in it for you?
Our team is cross-functional, consisting of data analysts, data engineer, and Software Engineers developing product applications, tools and services with direct or indirect connection to our cars. The Data Analysis & Methods and Tools Team supports many teams within Engine Controls & Diagnostics, partly with building and maintained tools used by Control and calibration teams, and partly by offering help with data analysis.
We are looking for a qualified data engineer to join our team to help build and maintain the databases infrastructure as well as the hardware for it. Your main responsibility will be making sure that we have a robust data infrastructure in which we have all our data stored and ready to be used by our teams as well as our data scientists. 

What you’ll do
* Responsible for building and maintaining the infrastructure which includes: Databases and the hardware for that infrastructure
* Purchasing, organizing or ordering it
* Manage servers
* The choice of the software used to run the database and the server

* Manage Data storage and use Monitor how they work
* Monitor who, what people are using which data

Pull data out and distributed to those who need it
Do you fit the profile?
You have an university degree in data engineering, machine learning, computer science and applied mathematics. Or proven experience achieved by other means.
* Some knowledge of what's the right hardware to be looking for, both in terms of storage and in computing.
* Some knowledge about databases software.
* You need to know about software for computing, and what are the different software needs in an organization.
* You need to understand data processing at scale and be able to run at scale those data processes and those data prediction algorithms that have been developed.
* Some software engineering understanding is needed in order to be able to interact with all the other components of data analysis/Methods and tools team such as data scientist and software engineers
* Strong programming skills in two of the following: Python, C++, Java
* Two or more technologies from the following: Spark, Dask, Flink, MongoDB, PostgreSQL, Hive, HBase, Hadoop

You have experience with cloud environments

Meritorious
Experience with Machine Learning tools and algorithms, in particular Spark MLlib, scala programming and experience in building and designing large scale end-to-end applications. Experience designing pipelines for both batch and streaming use cases and experience from pushing "lab" specifics (training and validation) into real-time engines are also knowledge we value.

Personal characteristics
You are able to ask questions and figure out what's the right hardware, and what's the right security measures to be taking. You need to know how data is used, pulled and analysed to be able to build an useful infrastructure for the teams. The right candidate works well under pressure, keeps things up and running, and keeps things maintaining. You find answers on your own and make good decisions about software maintainability. You are friendly but relentless and wants to interact with people internally and externally. You have the ability to use a simple language (non-technical) to explain what's going on, what the problem is and the solution.

How to learn more and apply
For more information regarding the position please contact Lauren Yaqo at [email protected]  or regarding the recruitment process [email protected]
Please apply no later than February 21st, 2021.

Please note due to GDPR we only accept applications via our Recruitment Tool.