MEET 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. And, empower millions of individuals worldwide to make sense of the world and express their ideas.
Our goal is to become the global leader in Language AI, building products that drive better communication, foster connections, and make a real-life impact. To achieve this, we need talented individuals like you to join our 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.

MEET THE TEAM BEHIND THIS JOURNEY

DeepL has millions of passionate users around the globe, both consumer and enterprise. These users produce a massive quantity of data. The Data Foundation team increases operational efficiency and drives innovation at DeepL by facilitating the flow of this data from producers to consumers, in order to maximize business impact. Through the creation of stable and user-friendly analytical data products, we make customer data models and user behavioral data accessible and reusable for data driven professionals throughout the company.
In this role, your main responsibilities and deliverables will be to build and maintain data 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 Senior Analytics Engineer to join a versatile team that builds and maintains data models, pipelines and data products utilised across DeepL. The team owns the core data products and pipelines utilising data from both internal and external sources. You will work with product managers, data scientists, data engineers, and analysts to solve complex technical and business problems. You will work with revenue, customer, and product usage data and will be expected to gain a deep analytical understanding of these datasets.

• Data pipeline development: design, implement, and maintain scalable data pipelines and architecture in both our on-prem and cloud environments. Build the next generation of DeepL’s data products while contributing to the maintenance and migration of our legacy assets.
• Data modeling: Develop and optimize data models to support analytics and reporting needs, ensuring data quality, consistency and integrity.
• Collaboration: Work closely with data scientists, product analysts, and business stakeholders to understand data requirements and deliver solutions.
• Performance optimization: Monitor and enhance the performance of data systems, ensuring low latency and high reliability.
• Data quality: Act as an owner for the quality and availability of our data. Apply data governance frameworks and champion data contracts to guarantee confidence in our analytics datasets.
• Documentation & best practices: Maintain comprehensive documentation and promote best practices in data engineering and analytics.
• Mentorship: Guide and mentor junior team members, fostering a culture of continuous learning and improvement.