Senior Analytics Engineer

Senior Analytics Engineer

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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.

What sets us apart is our blend of modern technology, competitive benefits, and an open, welcoming work culture that enables our people to thrive. When we share what it's like to work at DeepL, the reactions are overwhelmingly positive. This may be because of our products that have helped countless people worldwide or our shared mission to improve communication for individuals and businesses, bringing cultures closer together.

What we know for sure is this: being part of DeepL means joining a team dedicated to innovation and employee well‑being. Discover what our teams have to say about life at DeepL on Linked In, Instagram and our Blog.

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.

• 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 optimise 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 optimisation: 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, applying data governance frameworks and championing 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.

• Experience:
  
  5+ years in data or analytics engineering roles, with a focus on cloud data platforms.
• Data modeling: expertise in designing and implementing data models for analytics.
• SQL: advanced proficiency in writing complex queries and optimising performance.
• Python: experience in data manipulation and scripting.
• Cloud platforms: hands‑on experience with cloud data warehouses like Snowflake, Databricks, or Big Query. Experience with an on‑prem data warehouse such as Clickhouse is valuable.
• Experience utilising data orchestration and transformation tools like dbt, Airflow, or similar.
• Understands best practice for querying OLAP, click‑stream, real‑time event processing databases.
• Product mindset: able to work directly with business stakeholders to translate analytics needs into user‑friendly, highly‑performant data products.
• Troubleshooter: experience diagnosing and resolving data issues and outages. Prepared to participate in on‑call rotations, perform post‑mortems, and proactively recommend improvements for engineering excellence.
• Soft skills:
  
  excellent problem‑solving abilities, strong communication skills, and a collaborative mindset.

• Diverse and internationally distributed team: joining our team means becoming…