Data Engineer at LeasePlan Digital (Amsterdam, Netherlands)

LeasePlan has been innovating on a global scale for more than 50 years. With around 1.7 million cars in over 30 countries, LeasePlan is the largest, most authoritative lease company of its kind in the world.

To continue LeasePlan success story in the fast-moving automotive industry, we are building innovative new software platforms, applications and enabling business models that will help define "what's next" for cars and mobility around the globe.  We are located in Amsterdam and are a growing international team with a start-up culture that gives you the opportunity to apply your talents on a global scale.

LeasePlan is committed to the uptake of electric vehicles and is a founding partner of EV100 - a new major global transport initiative designed to fast track the uptake of electric vehicles among corporate companies. We are working to transform LeasePlan into a data-driven company that delivers any car, anytime, anywhere.

LeasePlan is therefore keen to strengthen its Data Science team with Data Engineers to further accelerate the usage of data in maximising long-term customer satisfaction and value-creation.

The role

As a Data Engineer you will work together with Data Scientists and IT on challenging projects to create insights from data and turn these into technology solutions. Data engineers are well versed with big data technology stack and are responsible for the definition, conception and construction of Big Data platforms and solutions and implementing analytical insights in decision making processes.

A Data Engineer will use Big Data programming languages and technology, writes code, completes programming and documentation, and performs testing and debugging of applications. Data Engineers might also run ETL to integrate data from different sources and create warehouses for analysis and reporting purposes.

Tools

Data Engineers will work with AWS (Cloudformation),SQL, ETL (Airflow), Business Objects (design), etc.

Your Background and Skills

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• Problem-solving: Analytical, curious and ambitious; Execution: Result-driven, pragmatic and persuasive;
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• A passion for solving complex business challenges using analytics on large amounts of data;
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• Collaborative (with strong relation-building skills), but Independent self-starter with strong work ethic;
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• Attitude to thrive in a fun, fast-paced start-up like environment;
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• Academic degree (BSC/MSC) in Econometrics, Mathematics, Computer Science, Artificial Intelligence or another quantitative field;
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• Knowledge on analytical and statistical techniques (e.g. regression, forecasting, machine learning);
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• Affinity with programming languages and analytical tools such as SQL, R, Python and XML ;
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• Big plus: experience with big data technologies such as Hadoop, Spark, C#.
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The offer

A highly competitive starting salary and an incredibly fun and entrepreneurial working environment. In this environment, we give you the ability to have an impact at scale and to work with a diversity of data (and car) enthusiasts across the globe!

by via developer jobs - Stack Overflow