Data Engineer | Python or Go - Cologne, Amsterdam, London or remote
Standort flexibel
DeepL
Translate texts & full document files instantly. Accurate translations for individuals and Teams. Millions translate with DeepL every day.is Germany's best-known AI company. We develop neural networks to help people work with language. With DeepL Translator, we have created the world's best machine translation system and made it available free of charge to everyone online. Over the next few years, we aim to make DeepL the world's leading language technology company.
Our goal is to overcome language barriers and bring cultures closer together.
What distinguishes us from other companies?
DeepL (formerly Linguee) was founded by developers and researchers. We focus on the development of new, exciting products, which is why we spend a lot of time actively researching the latest topics. We understand the challenges of developing new products and try to meet them with an agile and dynamic way of working. Our work culture is very open because we want our employees to feel comfortable. In our daily work we use modern technologies - not only to translate texts, but also to create the world's best dictionaries, and solve other language problems.
When we tell people about DeepL as an employer, reactions are overwhelmingly positive. Maybe it's because they have enjoyed our services, or maybe they just want to get on board with our quest to break down language barriers and facilitate communication.
Your choice
We are constantly looking for outstanding employees! Currently we offer remote work in Germany, the Netherlands, the UK and Poland. Whether you would like to work from home in one of these countries or from one of our offices in Cologne or Paderborn: the choice is yours. No matter where you choose to work from, our way of working is designed to make you an essential part of the team.
What will you be doing at DeepL?
We are looking for an experienced Data Engineer to help build and improve our in-house Data Platform spanning multiple data centers. The Data Platform combines different data sources, both internal and external and makes them available to our stakeholders company-wide: 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 make the future at DeepL bright and data-driven.
Requirements
Your responsibilities
- Help our team to design, build and continuously improve the infrastructure for streaming, storing and processing data at a scale of hundreds of millions of events per day
- Work closely with our other platform engineers to design and maintain a scalable data platform
- Design and implement new microservices and software for internal tooling, ETL jobs and our streaming pipelines
- Take care of the automated deployment and maintenance of our applications and services to Kubernetes and bare-metal machines
What we offer
- Data at scale from products used by more than 100 million people worldwide
- Our own data, analytics and experimentation platform - far beyond the limitations of standard web analytics platforms
- The chance to work and play with state of the art technologies like Clickhouse, Kubernetes and Kafka
- Interesting challenges: design and programming at the highest level
- A friendly, international, and highly committed team with a lot of trust and very short decision making processes
- Meaningful work: We break down language barriers worldwide and bring different cultures closer together
- A comfortable office or suitable equipment for your home office and a lot of flexibility
About you
- You have professional experience in Python or Go
- You have exceptional software engineering skills (abstraction, modularization and data structures)
- You have experience with data infrastructure: databases, message queues, batch and stream processing
- You have experience with distributed systems and container orchestration (Kubernetes)
- You are a good communicator and team player
- You are fluent in English
We are looking forward to your application!
Tags: Agile Distributed Systems Engineering ETL Kafka Kubernetes Microservices Pipelines Python Streaming
Perks/benefits: Team events
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open AI Engineer jobs
- Open Data Engineer II jobs
- Open Junior Data Scientist jobs
- Open Senior Data Architect jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Power BI Developer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Manager, Data Engineering jobs
- Open Principal Data Engineer jobs
- Open Product Data Analyst jobs
- Open Business Data Analyst jobs
- Open Data Manager jobs
- Open Data Quality Analyst jobs
- Open Sr. Data Scientist jobs
- Open Data Scientist II jobs
- Open Big Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Principal Data Scientist jobs
- Open ETL Developer jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Business Intelligence-related jobs
- Open Data quality-related jobs
- Open Privacy-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open PhD-related jobs
- Open TensorFlow-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Data warehouse-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs
- Open Kubernetes-related jobs