Job Description

We’re looking for a Data Mastermind! We need some magical data engineers to help us change the way the world moves. If you love a challenge, are passionate about technology and are full of spark, energy and ambition, this could be the dream role for you. 

Our team of rock-solid software engineers, technologists, futurists and dreamers are changing how people think and feel about cars.

To be clear: this is no ordinary software engineering role. We’re looking for someone spectacular – someone who stands out and who can contribute big things working alongside our dynamic team of technical wizards.

Naturally, all the usual stuff applies. Apart from excellent technical skills, you’ll be a problem-solver, a planner and a doer. Under your influence, things run like clockwork. But you’re no clock-watcher. You bring energy and star-quality to what you do, engineering success with a smile.

In return, you’ll be surrounded by some of the best talent in the business, in an inspiring environment where our people are well-looked after, happy and part of a connected team that’s changing the future of mobility.

Responsibilities

Superstar data engineers need superstar projects: from autonomous driving to electrification, from car sharing services to vehicle connectivity, Critical TechWorks operates at the cutting-edge of the BMW Group’s technologies.

You’ll work closely with the business stakeholders to design and implement data integration architectures while achieving cost-effectiveness, high-performance and simple maintainability, with as many source technologies as you can imagine. From the most common to the most exotic ones.

You’ll create meaningful data solutions that will support the creation of new business value. To achieve this mission, you’ll always be curious and enthusiastic about using advanced architectures and technologies to solve problems and inspire others to see the benefits.

Profile

Whatever you’re working on, here’s the lowdown on the technical skills you’re likely to have:

• Relevant academic degree
• Solid background in data engineering
• Experience with Cloud data platforms (preferably AWS PaaS)
• Experience with IaC tools, such as Terraform
• Experience with coding languages (like Pyhton, Java, JavaScript) is a plus
• Experience working with and creating data-driven architectures
• Experience using a querying language such as SQL
• Experience with data visualisation tools, such as D3.js, GGplot, etc.
• Experience with Big Data and data modeling
• Advanced knowledge of multiple SQL/noSQL data environments and a strong understanding of why and when to use a particular solution
• Familiarity with tools in the Big Data ecosystem (like Hadoop, Cassandra, Apache Hive, Apache Spark and others alike)