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Senior Data Engineer

Global communications platform powered by Language AI, providing human-sounding translations and intelligent writing suggestions for businesses and individuals.
Berlin, GermanyCologne, GermanyMunich, Germany
Data
Senior Software Engineer
Hybrid
3+ years of experience
AI · Enterprise SaaS
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Description For Senior Data Engineer

DeepL, a pioneering Language AI company, is seeking a Senior Data Engineer to join their dynamic team. This role sits at the intersection of data engineering and analytics, working with a platform that processes millions of users' data globally.

The position offers an exciting opportunity to work with DeepL's sophisticated data infrastructure, combining both on-premises and cloud environments. As a Senior Data Engineer, you'll be responsible for designing and implementing scalable data pipelines, developing optimized data models, and ensuring data quality across the organization. You'll work directly with product managers, data scientists, and developers to solve complex technical challenges and drive innovation.

The ideal candidate brings 3+ years of experience in data engineering, with strong expertise in SQL, Python, and cloud data warehouses. You'll need to be comfortable with data orchestration tools like dbt and Airflow, and have experience with OLAP and real-time event processing. Your role will be crucial in transforming DeepL's massive quantity of user data into actionable insights and efficient data products.

DeepL offers an attractive work environment with a truly global perspective, employing people from over 90 nationalities. The company provides a hybrid work model with flexible hours, allowing you to work from home while maintaining collaborative connections through twice-weekly office visits. Benefits include 30 days of annual leave, monthly hack days for creative projects, regular team events, and comprehensive health coverage.

The company has shown impressive growth, doubling in size nearly every year, with offices across Germany, the UK, Netherlands, Poland, the US, and Japan. This role presents an excellent opportunity for someone who wants to make a significant impact in the fast-moving AI space while working on products that break down language barriers globally.

As part of the Data Domain teams, you'll be instrumental in increasing operational efficiency and driving innovation by facilitating data flow from producers to consumers. Your work will directly impact how DeepL leverages its vast amount of user data to improve services and drive business decisions.

This position is perfect for a data engineering professional who combines technical expertise with strong communication skills and a collaborative mindset. You'll have the opportunity to mentor junior team members while working on cutting-edge language AI technology that impacts millions of users worldwide.

Last updated 15 days ago

Responsibilities For Senior Data Engineer

  • Design, implement, and maintain scalable data pipelines and architecture in both on-prem and cloud environments
  • Develop and optimize data models to support analytics and reporting needs
  • Work closely with data scientists, analysts, and business stakeholders
  • Monitor and enhance the performance of data systems
  • Act as an owner for the quality and availability of data
  • Maintain comprehensive documentation and promote best practices
  • Guide and mentor junior team members

Requirements For Senior Data Engineer

Python
  • 3+ years in data or analytics engineering roles
  • Advanced proficiency in SQL and complex queries
  • Experience in Python data manipulation and scripting
  • Hands-on experience with cloud data warehouses (Snowflake, Databricks, or BigQuery)
  • Experience with OLAP, click stream, real-time event processing databases
  • Expertise in designing and implementing data models for analytics
  • Experience with data orchestration tools (dbt, Airflow)
  • Product mindset and ability to work with business stakeholders
  • Experience diagnosing and resolving data issues and outages
  • Excellent problem-solving abilities and strong communication skills

Benefits For Senior Data Engineer

Medical Insurance
Mental Health Assistance
  • 30 days of annual leave
  • Flexible working hours
  • Hybrid work schedule (2 days office)
  • Regular in-person team events
  • Monthly hack days
  • Mental health resources
  • Competitive benefits package
  • International work environment

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