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Data Architect

LeasePlan Digital
LeasePlan is one of the world's leading leasing companies active in more than 30 countries

Job details

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Intro

Who are we?

We are the data organisation within LeasePlan and are responsible worldwide for Data Engineering & Architecture, Data Science and Digital Analytics teams. You will be part of Data Engineering & Architecture, tasked to build next generation Data Lake and Data Governance Structure, leading the designing of a robust infrastructure for batch and real-time analytics.

You will play a critical role in shaping our “Unified Data Platform”. 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 big data modelling, building data warehouse platforms, enjoy solving complex analytical problems - all in a challenging, fast paced environment. You should have a solid professional background in data architecture, 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, and make sure data modelling are handled as per standards. You, as the Data Architect, will influence data architecture and technology decisions for best practices.

  • Conducting data modelling sessions with business and technology representatives to identify data and usage requirements,
  • Responsible for the creation and maintenance of a set of related logical models that represent the way our business works,
  • Performing detailed data analysis required for creation and validation of the models,
  • Working with analysts and development teams to define and document physical data structures,
  • Responsible for metadata capture, gating, and rationalization,
  • Build a scalable distributed data store that will be central source of truth,
  • Own data quality for the pipelines and make them auditable,
  • Build self-service tools that helps the business users to extract, analyze and visualize data faster and perform advanced analysis,

Main requirements

  • BS/MS with quantitative focus (e.g. Computer Science, Economics, Mathematics, Physics, Statistics) or equivalent practical experience,
  • 2+ year experience performing logical data modelling for a variety of subject areas,
  • Demonstrated experience modeling for a big data analytics environment, cloud databases like Google BigQuery, Amazon Redshift or Snowflake is highly desirable
  • Thorough understanding of both SQL and NoSQL physical implementations,
  • Demonstrated experience with implementation of multiple modelling techniques (star schema, data vault, snowflake, etc.)
  • Advanced data analysis and profiling skills,
  • Experience with Shell Scripting/Crontab.

Nice to have

  • Experience in designing ETL / data pipeline solutions (AWS Glue/Apache Airflow preferred),
  • Experience with AWS CloudFormation is a plus,
  • 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.

Perks

We offer a start-up atmosphere, but with the backing of one of the world’s leading fleet management companies. That means an office surrounded by like-minded innovators at B. Amsterdam. Plus, healthy snacks, drinks and a football & pool table. You can also 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.

Apply now

Sign up to apply

Or sign up to refer and earn a reward of €300