Data Engineer - Machine Learning Fraud & Abuse

New Yesterday

About DeepL

DeepL is a global communications platform powered by Language AI. Since 2017, we’ve been on a mission to break down language barriers. Our human‑sounding translations and intelligent writing suggestions are designed with enterprise security in mind. Today they enable over 100,000 businesses to transform communications, reach new markets, and improve productivity, while empowering millions of individuals worldwide to make sense of the world and express their ideas.

Meet the team behind this journey

You will join the Abuse Prevention team, dedicated to safeguarding DeepL’s products and users by proactively identifying and mitigating fraud and abuse across our platform. Our team is building the foundations to leverage diverse data sources and signals to detect suspicious activity, develop scalable data pipelines, and power detection models. Together we design and maintain infrastructure to enable rapid response to emerging threats, collaborate closely with teams across the organization, and shape how DeepL protects its products and users for the future.

What You’ll Be Doing

  • Architect and build data solutions that underpin our defenses and handle huge amounts of user data from the ground up.
  • Power and refine detection models, applying machine learning techniques to improve threat detection and find critical patterns in our data.
  • Ensure system reliability at scale, keeping data pipelines and detection tools running smoothly even as we grow.
  • Collaborate with backend engineers and other squads to build key defenses such as rate limiting and bot protection systems.
  • Champion data excellence, sharing expertise and helping raise our collective data community.

Responsibilities

  • A strong background in software development, with professional experience using Python and SQL.
  • A solid understanding of fundamental algorithms and data structures.
  • Practical experience applying machine learning techniques to solve real‑world problems.
  • Experience working with distributed systems, computer networks, and container orchestration technologies.
  • A passion for tackling challenging problems and a growth mindset, with the ability to work with other engineers to drive innovative solutions.
  • An effective and pragmatic mindset, weighing the trade‑offs between a “perfect” solution and a “good enough” one based on priorities and business impact.
  • Experience with C#/.NET is considered a plus.
  • Must be comfortable with a hybrid working model and able to come into our London office regularly (average of twice per week).

Qualities We Look For

  • Professional experience in software development using Python & SQL.
  • A solid foundation in algorithms & data structures.
  • Practical experience applying machine learning techniques to real‑world problems.
  • Experience with distributed systems, computer networks, and container orchestration technologies.
  • A passion for tackling challenging problems and a growth mindset, working with other engineers to drive innovative solutions and enhance product development.
  • Effective and pragmatic: weighing between “perfect” and “good enough” depending on priorities and business impact.
  • Experience with C#/.NET is a plus.
  • Comfortable with a hybrid working model and able to come into our London office regularly (2x per week).

What We Offer

  • Diverse and internationally distributed team with over 90 nationalities.
  • Open communication, regular feedback, and a culture of empathy and growth mindset.
  • Hybrid work schedule with the flexibility to work from home and attend the office twice a week.
  • Regular in‑person team events and a vibrant social calendar.
  • Monthly full‑day hacking sessions (Hack Fridays) to pursue passion projects.
  • 30 days of annual leave (excluding public holidays) and access to mental health resources.
  • Competitive benefits tailored to your location and ensuring you feel supported every step of the way.

Seniority Level

  • Entry level

Employment Type

  • Full‑time

Job Function

  • Information Technology
  • Data Infrastructure and Analytics

Equal Opportunity Employer

We are an equal opportunity employer. You are welcome at DeepL for who you are. We appreciate authenticity here. Our product is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward. Bring us your personal experience, your perspectives, and your background. Its in our diversity that we will find the power to break down language barriers in the world.

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Location:
City Of London, England, United Kingdom
Salary:
£125,000 - £150,000
Job Type:
FullTime
Category:
Engineering

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