Data Engineer at Pleo
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

26 Sep, 25

Salary

0.0

Posted On

27 Jun, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

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How Pleo hires
-
1
The first call(s)
Let’s get to know each other. We want to find out more about you, your motivations, and give you more information about the role.
-
2
The challenge
The task is deliberately open-ended and based on something you’ll actually work on. There are no right or wrong answers here.
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3
The team interview
Expect to share a (virtual) meeting room with two to three people you’ll work with regularly if you get the job.
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4
The final interview
A call with someone in leadership who’ll walk you through the big picture and chat about how your role will figure into that.
Find out more

Responsibilities

ABOUT THE ROLE

We’re looking for a Data Engineer to join our Data Infrastructure team at Pleo. In this role, you’ll be working on essential parts of our data platform, enabling data engineers, analytics engineers and analysts across Pleo by providing them with reliable, easy to use and well documented systems and tools.
As a Data engineer, you’ll be working within an established team, Data infrastructure, alongside other Data and Platform engineers. The Data infrastructure team is responsible for maintaining core parts of our data platform, including BigQuery, Airflow, Looker and Kafka. You’ll be working closely with Senior and Staff level engineers in the team, to design and deliver maintainable and scalable infrastructure using Terraform and data pipelines using Python and Airflow.
If you’re excited about enabling Data teams at scale with world class, easy to use tooling, in a fast-growing, product-led company — this might be the perfect next step for you.

WHAT YOU’LL BE DOING

As a Data Engineer, you will:

  • Design, build and maintain components of our data platform, including BigQuery, Airflow, Kafka consumers, Terraform, CI/CD pipelines
  • Design, build, and optimize data pipelines using Airflow and Python to ingest data into our data warehouse and push transformed data into other business systems
  • Ensure our infrastructure across GCP and AWS is stable, secure, easy to use and cost efficient
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and translate them into data solutions.

HOW YOU’LL DEVELOP IN THIS ROLE

In your first few months at Pleo, you’ll:

  • Gain an understanding of our platform architecture, code standards and ways of working
  • Design and develop several smaller features of our data platform (e.g. a new data pipeline in Airflow), with guidance from senior engineers on the team
  • Create new resources in our production infrastructure setup using Terraform

We’re committed to helping you develop your career—you’ll be joining a team with several highly experienced Data engineers who will support you with mentoring, as well as being given the freedom to own projects end to end.

You’ll thrive in this role if you have:

  • Experience working as an infrastructure focused data engineer
  • Experience maintaining data platform infrastructure as Terraform code
  • Proficiency in Python and SQL
  • Familiarity with cloud platforms (AWS, GCP)
  • Experience writing data pipelines in Airflo
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