Data Architectf

Department: Data

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,

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,

5+ 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, Client 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.

Bonus Points for;

• 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.

• 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.

The team

We are a young & ambitious Data Organization, composed of 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 “Global Data Hub”. 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!

What do we offer?

We offer a dynamic and challenging atmosphere, but with the backing of one of the world’s leading fleet management companies. 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 and a pre-employment screening is part of the selection process.

Job type: Permanent Division: eTeam Workforce Limited Reference: 21-05750