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Analytics Engineer

Global communications platform powered by Language AI, providing human-sounding translations and intelligent writing suggestions for businesses and individuals.
Data
Staff Software Engineer
Hybrid
1,000 - 5,000 Employees
5+ years of experience
AI · Enterprise SaaS

Job Description

DeepL, a leading Language AI platform, is seeking a Senior Analytics Engineer to join their Data Foundation team. This role is perfect for an experienced data professional who will be responsible for building and maintaining critical data infrastructure that powers DeepL's analytics capabilities. The position offers an opportunity to work with massive quantities of user data, creating stable and user-friendly analytical data products that drive business impact.

The role combines technical expertise in data engineering with business acumen, requiring the ability to design and implement scalable data pipelines, develop optimized data models, and ensure data quality across the organization. You'll be working with both on-premises and cloud environments, handling revenue, customer, and product usage data while collaborating with cross-functional teams including product managers, data scientists, and analysts.

DeepL offers an exceptional work environment with a truly global team representing over 90 nationalities. The company has demonstrated impressive growth, doubling in size nearly every year, with offices across multiple countries including the UK, Germany, Netherlands, Poland, US, and Japan. The position comes with attractive benefits including a hybrid work model, flexible hours, 30 days of annual leave, and regular team events.

As an Analytics Engineer at DeepL, you'll be at the forefront of enabling data-driven decision making in a rapidly growing AI company. The role offers significant opportunities for professional growth, mentorship of junior team members, and the chance to make a meaningful impact on a product that helps millions of users worldwide break down language barriers. The company culture emphasizes open communication, regular feedback, and a strong focus on work-life balance, making it an ideal environment for talented professionals looking to advance their careers in the data and AI space.

Last updated 3 days ago

Responsibilities For Analytics Engineer

  • Design, implement, and maintain scalable data pipelines in on-prem and cloud environments
  • Develop and optimize data models for analytics and reporting
  • Collaborate with data scientists, product analysts, and business stakeholders
  • Monitor and enhance data systems performance
  • Ensure data quality and availability
  • Maintain documentation and promote best practices
  • Guide and mentor junior team members

Requirements For Analytics Engineer

Python
  • 5+ years in data or analytics engineering roles
  • Expertise in designing and implementing data models for analytics
  • Advanced proficiency in SQL and complex queries
  • Experience in Python data manipulation and scripting
  • Experience with cloud data warehouses (Snowflake, Databricks, or BigQuery)
  • Experience with data orchestration tools (dbt, Airflow)
  • Understanding of OLAP, click stream, real-time event processing databases
  • Strong problem-solving and communication skills

Benefits For Analytics Engineer

Medical Insurance
Mental Health Assistance
  • 30 days of annual leave
  • Hybrid work schedule
  • Flexible working hours
  • Regular in-person team events
  • Monthly full-day hacking sessions
  • Mental health resources
  • Competitive benefits package

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