Data Engineer

Location: Amsterdam

*** Mention DataYoshi when applying ***

To continue LeasePlan's success story in the fast-moving automotive industry, we are actively building our digital presence to create the future of Digital in the mobility industry. We are looking for a Data Engineer to influence data architecture and technology decisions for engineering best practices.

As part of the Enterprise Information Management (EIM) department, you will be responsible for on-boarding data from 32 entities and more than 15 sources in to our data platform Global Data Hub (GDH) and delivering to both global initiatives and local stakeholders. In our team, we know new analytics technologies are emerging every day and we are excited about the impact they will have – we hope you share our enthusiasm!

Who are we looking for?

We want to work with people who are passionate about building and maintaining reliable, performant data pipelines, and have practical experience of doing so. You should have a solid professional background in data engineering, and a deep understanding of databases. Given the versatile nature of the role, we're looking for someone who can learn fast, enjoys working with others, and is a pragmatic decision-maker.

What are you going to do?

You will contribute to a variety of exciting projects ranging from designing robust and fully automated ETL/ELT processes to building tools for improving company-wide productivity with data. You have a passion for designing, implementing and operating stable, scalable and efficient solutions to flow data from disparate sources into data lake. You, as the Data Engineer, will influence data architecture and technology decisions for engineering best practices.

  • Build scalable and reliable near real time data pipeline that collects, transforms, loads and process data from various internal and external data sources,
  • Build a scalable distributed data store that will be central source of truth,
  • Own data quality for the pipelines you build and make them auditable,
  • Collaborate with data scientists to make data available for ad-hoc querying, real time dashboards, and production machine learning models,
  • Build self-service tools that helps the business users to extract, analyze and visualize data faster and perform advanced analysis,
  • Evaluate new technologies and build prototypes for continuous improvements in Data Engineering.

In this role you will be working closely together with:

  • The data governance team to ensure data quality, alignment and validity,
  • Privacy, risk, information security officers to ensure that GDH is set up according to security and privacy standards,
  • Data engineers and data scientist to ensure data is made ready for consumption and can serve global initiatives and deliver What's Next to LeasePlan customers,
  • Architects to ensure design decisions comply with LeasePlan's Next Generation Digital Architecture.

What do you need to do the job?

  • BS/MS with quantitative focus (e.g. Computer Science, Economics, Mathematics, Physics, Statistics) or equivalent practical experience,
  • Experience with AWS is a prerequisite
  • Experience in Big Data, server-less and data streaming technologies (Hadoop, Hive, AWS lambda, Kinesis, Kafka, Spark),
  • Experience in designing ETL / data pipeline solutions (AWS Glue/Apache Airflow preferred),
  • Experience in Amazon Redshift and/or Snowflake highly preferred,
  • Experience in designing, implementing and maintaining production grade ETL processes and data pipelines,
  • Experience with git, github, and the pull request workflow,
  • Experience with Shell Scripting,
  • Understanding of the application of Continuous Integration/ Continuous Delivery (CI/CD).
  • Experience in building large-scale, distributed systems using Python, Java or Scala,
  • An eye for automation and instrumentation in all data-related aspects,
  • Positive outlook towards work, strong work ethic and ability to work in a team environment.

Bonus Points for;

  • Experience in position of leadership
  • Experience with Snowflake
  • Experience with AWS Sagemaker and AWS ML services
  • Experience with DataBrick/Dataiku
  • Experience in working with requirements provided by data scientists,
  • Familiarity with Data Warehousing concepts (e.g. dimensional data modeling) and schema design (e.g. Kimball and/or Data Vault)

How is life at LeasePlan Digital?

With around 1.7 Million cars in over 30 countries and more than 50 years of experience on a global scale, LeasePlan is the largest automobile leasing and fleet management company in the world. LeasePlan Digital, is there to create our ambition for a customer centric experience across all digital touch points, to deliver true value to our customers and in turn maximize long-term customer satisfaction.

We offer a challenging and dynamic environment, incorporated in one of the world's leading fleet management companies. That means a working environment surrounded by like-minded innovators working together from their home offices using Microsoft Teams, Slack, Jira and other tools to get the job done together. Our working community is close, sharing work and personal related matters to stay connected.

You can expect a competitive salary and benefits, room to grow and plenty of can-do attitudes. Most importantly? You'll get the opportunity to help shape the future of an exciting, dynamic industry.

This role is based in Amsterdam. To apply, just upload your information via the link and apply directly. We are looking forward to exploring your opportunities with us!

*** Mention DataYoshi when applying ***

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