Staff Analytics Engineer

DeepL, Europe’s leading AI company since 2017, is dedicated to breaking down language barriers and bringing cultures closer together. Our expertise in AI and neural networks has enabled us to create cutting-edge communication technologies for businesses, including the acclaimed DeepL Translator which offers 30+ languages, and DeepL Write, our AI writing companion. Our core offering includes a suite of products and tools made for businesses to communicate more effectively, both internally and with their customers around the globe.

Our goal is to become the global leader in Language AI and build products that help drive better communication, drive connection, and make real-life impact. To do that, we need talented people, like you, who want to be a part of this exciting journey. If you’re ready to work with a dynamic team and build your career in the fast-moving AI space, DeepL is your next destination.

What sets us apart

We are committed to innovation and to a nurturing work environment. Founded by developers and researchers, we spend a lot of time actively reviewing the latest trends in generative AI and software engineering. Known for pioneering AI technologies, we dive deep into cutting-edge research to create not only translations, but advanced language solutions. Combining our use of modern technology, comprehensive employee benefits with our open and welcoming work culture is what sets us apart.

When we tell people about DeepL as an employer, the reactions are overwhelmingly positive. Maybe it’s because of the products that have helped countless people worldwide, or maybe it’s because of our shared goal of improving communication for individuals and businesses worldwide. What we’re certain of is this: being part of DeepL means joining a team committed to innovation and the well-being of its employees.

What will you be doing at DeepL?

As a Staff Analytics Engineer, your main responsibilities and deliverables will be to build and maintain ETL pipelines, create foundational data models in our data warehouse and integrate new data sources using DataOps best practices, including documentation and testing. You will also support other data specialists in their work to make their queries and tables efficient and their use of data effective.

We are looking for a data-focused Staff Analytics Engineer to join a team of versatile engineers that build and maintain data models, libraries and the tooling supporting data processing at DeepL. The data platform combines various data sources, both internal and external, and makes them available to our stakeholders across the company: Developers, Product Development, Data Science and Management. You will work in a cross-functional team with product managers, data scientists, data engineers and developers to solve complex technical challenges. You may work with revenue, customer or usage data and gain an analytical understanding of these datasets.

Requirements

Your responsibilities

• Collaborate with team members to collect business requirements, define successful outcomes, and design data models
• Leverage raw data in our data warehouse to build a curated data models
• Write production quality ELT code (Python, SQL) with an eye towards performance and maintainability
• Create and maintain architecture and systems documentation
• Maintain our data catalog as a scalable resource to support self-service and serve as single source of truth for data definition
• Provide data modeling expertise to all team members through code reviews, pair programming, and training to help deliver optimal, DRY, and scalable database designs and queries
• Become a domain expert in the data you are work with
• Improve, manage, and teach code maintainability and performance standards in code submitted and reviewed
• Help our team maintain and improve the infrastructure for data collection, processing, management and analysis
• Research, design, implement and drive new solutions and software for solving complex data processing problems across all of DeepL
• Work on our internal tools to make the data easily accessible to our internal stakeholders

Qualities we look for

• Profound experience of data management, ETL pipelines and data model design
• Passionate about working with and understanding data
• Have a strong understanding of data-centric systems
• Strong experience with high-volume SQL and SQL query optimization strategies
• Experience with analytical Data Warehouses such as Clickhouse or Redshift is a requirement
• In addition to SQL and Python, experience in other programming languages is a plus
• Experience of building and maintaining a distributed data infrastructure operating at terabyte scale is a plus
• Experience with running or maintaining dbt is a plus
• You are a good communicator and team player
• You are fluent in English

What we offer

• Diverse and internationally distributed team: joining our team means becoming part of a large, global community with people of more than 90 nationalities. We’re more than just colleagues; we’re a group of professionals with a shared mission to connect diverse cultures. Our global presence is growing–we’ve doubled in size nearly every year, with our employees based in the UK, Germany, the Netherlands, Poland, the US, and Japan, and we continue to expand our network.
• Open communication, regular feedback: as a language-focused company, we value the importance of clear, honest communication. We value smooth collaboration, direct and actionable feedback, and believe that leading with empathy makes us better together.
• Remote work, flexible hours: whether you’re near or in our hubs in cities like Cologne, Berlin, Amsterdam, London, Austin, or Tokyo, or prefer the comfort of your own home, you decide where your office is. We offer remote opportunities, flexible working hours and trust in your productivity, all in sync with your team’s general locations and time zones to foster effective and seamless collaboration. Our aim is to integrate your work with your lifestyle, ensuring a balance that respects both your needs and our operational requirements.
• Regular in-person team events: we bond over vibrant events that are as unique as our team, from local team and business unit gatherings, to new-joiner onboardings, to company-wide events that bring us all together–literally.
• Monthly full-day hacking sessions: every month, we have Hack Fridays, where you can spend your time diving into a project you’re passionate about and get the opportunity to work with other teams–we value your initiatives, impact, and creativity.
• Comprehensive health insurance: your health comes first. With our comprehensive insurance, we’ll make sure you’re covered from head to toe.
• 30 days of annual leave: we value your peace of mind. With 30 days off (excluding public holidays) and access to mental health resources, we make sure you’re as strong mentally as you are professionally.
• Annual learning budget: because we never stop learning, we’ve set up an annual budget for your professional development—pick a learning path which contributes to your career development and we’ll back you up

  If this role and our mission resonate with you, but you’re hesitant because you don’t check all the boxes, don’t let that hold you back. At DeepL, it’s all about the value you bring and the growth we can foster together. Go ahead, apply—let’s discover your potential together. We can’t wait to meet you!

Please make sure to send your application in English, we are looking forward to it!