Senior Analytics/ Data Engineer


Amsterdam, NL
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 04/19/2021
  • Website:
  • Company Address: WillemFenengastraat 19, Amsterdam, 1019 BW, NL

About WeTransfer

WeTransfer was founded in 2009 as the simplest way to send big files around the world. Today we’re a set of beautifully obvious tools to keep your ideas moving.

Job Description

Every day, millions of people rely on WeTransfer to move their creative ideas.
Founded in 2009 as a simple file-sharing service, WeTransfer has grown into a set of tools designed around the creative process. Beyond the platform where 50 million people send one billion files every month, we have the storytelling platform WePresent, quick slide-making tool Paste, immersive sketching app Paper, and inspiration-capturing tool Collect. We design and deliver delightful experiences that continue to feel obvious and intuitive to millions of people—from our moms to your favorite artists. As a certified B-Corp, WeTransfer aims to be a sustainable and responsible tech company, balancing people, planet, and profit.
So, the work we do matters. Come and be a part of it.
We are looking for an experienced Analytics Engineer to join our Data and Analytics organization. You’ll be joining a team of data- and analytics engineers responsible for the data infrastructure with pipelines and analytics tools as well as a core data model that is the center of company-wide analytics. You will drive the data modeling architecture from tracking to the data mart, as well as design the infrastructure to support it. What you decide will have great impact on a large number of people in the organization as we move towards a distributed self-service oriented setup.

You will:

    • Build and maintain infrastructure for data
    • Take an architectural approach and drive improvements in the end to end analytics process
    • Team up with backend developers across the business to solve complex problems
    • Mentor junior engineers and be a beacon of WGLL

What we are looking for:

    • Hands-on experience from working with data engineering in a data-driven company
    • Extensive programming background in python or similar language
    • Deep knowledge of data modeling and ETL/ELT
    • Strong SQL skills
    • The ability to transform business questions into tracking requirements
    • Experience from running a large-scale operation in the cloud, preferably AWS
A few things about us, written by us

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.