Data Engineer

  • Verity
  • Zürich, ZH, Switzerland
  • 02/05/2022
Full time Data Science Data Engineering Data Analytics Big Data Data Management Statistics

Job Description

Verity gives its clients unprecedented insights into their warehousing operation by combining drones with modern data stacks. We are seeking an experienced Data Engineer to help develop the pipelines and data stores that turn raw data collected by the drones into valuable insights at scale. In this role, you will contribute to the design, implementation and maintenance of edge and cloud data pipelines, warehouses, and marts that handle high volumes of data.

Your daily tasks will focus on making sound architectural and technological choices for current and future data storage, transmission, processing, and analysis needs, as well as implementing those solutions. With your background in realizing scalable, production-grade pipelines, you will enrich the team's expertise and become a key contributor to the development roadmap.

The global leader in autonomous indoor drone systems, Verity enables zero-error warehousing for big box retailers, third-party logistics providers, and manufacturers, with our integrated inventory tracking system. Verity counts 3PL giant DSV and IKEA among their current client base.

Job Description

  • Design, implement and maintain ETL, data analytics, and mixed cloud-edge processing pipelines.
  • Contribute to the architecture and organization of our data warehouse and data marts.
  • Drive architectural and technological decision-making.
  • Collaborate closely with developers responsible for the data sources, and influence how data is created, formatted and stored.
  • Guide others and proliferate you extensive knowledge and experience regarding large-scale data processing solutions.

Your Profile

  • Degree (FH, BSc, MSc) in computer science, software engineering, or relevant field.
  • 4+ years of professional hands-on experience in developing ETL/ELT and data analytics pipelines for production systems, preferably on AWS.
  • Excellent Python programming skills.
  • Experience with SQL and NoSQL databases (e.g., DynamoDB, MongoDB).
  • Experience with the following technologies is a plus:
    • AWS Glue, Apache Spark, AWS Redshift, S3, Athena, Snowflake…
    • Dashboards & visualization (AWS Quicksight, Tableau, …)
    • JIRA and Confluence
    • Version control (git)
    • Object-oriented programming
    • Serverless computing (AWS lambda)
    • Docker containers
    • API design
  • Fluent in written and spoken English.

Why Verity

  • Flexibility of a hybrid work environment. You can arrange start and finish times around your life (picking up kids, walking the dog, training for your next marathon at lunch)
  • A great engineering culture, including flat hierarchies, an open-door policy, and a focus on joint responsibility and mutual trust and support
  • Working with a skilled, high-achieving, experienced, and fun team—with lots of opportunities to develop your professional career and grow with the company
  • Annual team-building events, quarterly and monthly get-togethers, knowledge-sharing talks, game nights, and more
  • 25 days of annual leave, employee stock ownership plan (conditions apply), variety of pension plans, and relocation packages
  • Welcoming office space complete with friendly team members, free snacks (fresh fruits, coffee, and more!), and fun activities—we're dog-friendly!

Are you ready for a great adventure?
Learn more about who we are, what we do, and how we think at