Analytics Engineer

DeepL; Deutschland; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A global communications platform in Germany is seeking an experienced Data Engineer to build and maintain data pipelines, optimize data systems, and collaborate with analytics teams. Candidates should have over 5 years of experience in data engineering with strong skills in SQL, Python, and cloud platforms like Snowflake. This role offers a hybrid work schedule with competitive benefits and a focus on team collaboration.

Leistungen

Hybrid work flexibility

30 days of annual leave

Monthly hack sessions

Diverse international team

Qualifikationen

• 5+ years in data or analytics engineering roles.
• Expertise in designing and implementing data models.
• Advanced proficiency in SQL.

Aufgaben

• Build and maintain data pipelines and models.
• Integrate new data sources and optimize performance.
• Collaborate with data scientists and stakeholders.

Kenntnisse

Data pipeline development

Data modeling

SQL proficiency

Python

Cloud platforms

Data orchestration tools

OLAP and clickstream databases

Problem-solving skills

Communication

Collaboration

Tools

Snowflake

Databricks

BigQuery

ClickHouse

dbt

Airflow

Jobbeschreibung

Overview

Meet DeepL. DeepL is a global communications platform powered by Language AI. Since 2017, our mission is to break down language barriers. Our human-sounding translations and intelligent writing suggestions are designed with enterprise security in mind, enabling over 100,000 businesses to transform communications, reach new markets, and improve productivity, while empowering millions of individuals worldwide to express their ideas.

Our goal is to become the global leader in Language AI by building products that drive better communication, foster connections, and make a real-life impact. We invite talented individuals to join our journey and grow their careers in the fast-moving AI space.

What sets us apart

We blend modern technology, competitive benefits, and an open, welcoming work culture that enables our people to thrive. Our teams share positive experiences about life at DeepL, reflecting our products, mission, and commitment to employee well-being. Discover insights from our teams on LinkedIn, Instagram, and our Blog.

Meet the team behind this journey

DeepL serves millions of users worldwide, including consumer and enterprise audiences. The Data Foundation team improves operational efficiency and drives innovation by enabling the flow of data from producers to consumers and by creating stable, user-friendly analytical data products. These efforts make customer data models and user behavioral data accessible and reusable for data professionals across the company.

Your responsibilities

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 to optimize queries and tables and to maximize data usability.

• Data pipeline development: design, implement, and maintain scalable data pipelines and architecture in both on-prem and cloud environments. Build the next generation of DeepL's data products while maintaining and migrating legacy assets.
• Data modeling: develop and optimize data models to support analytics and reporting, 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: own the quality and availability of data, apply data governance frameworks and champion data contracts to guarantee confidence in 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.

Qualities we look for

• 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 optimizing performance.
• Python: experience in data manipulation and scripting.
• Cloud platforms: hands-on experience with Snowflake, Databricks, or BigQuery; experience with on-prem data warehouses such as ClickHouse is valuable.
• Data orchestration: experience with dbt, Airflow, or similar tools.
• OLAP, clickstream, and real-time event processing databases: understanding of best practices for querying.
• Product mindset: ability to translate analytics needs into user-friendly, performant data products.
• Troubleshooter: experience diagnosing and resolving data issues and outages; willing to participate in on-call rotations and post-mortems.
• Soft skills: excellent problem-solving, strong communication, and collaborative mindset.

What we offer

• Diverse and internationally distributed team: join a global community with more than 90 nationalities, based in the UK, Germany, the Netherlands, Poland, the US, and Japan, among others.
• Open communication, regular feedback: value clear, honest communication, collaborative work, and constructive feedback with a growth mindset.
• Hybrid work, flexible hours: hybrid schedule with in-office days and work-from-home flexibility to support collaboration across locations.
• Regular in-person team events: local team events, onboarding for new joiners, and company-wide gatherings.
• Monthly full-day hacking sessions: Hack Fridays to pursue projects and collaborate with other teams.
• 30 days of annual leave: 30 days off (excluding public holidays) with access to mental health resources.
• Competitive benefits: location-tailored benefits to support you wherever you are.

If this role and our mission resonate with you, but you don\'t check all the boxes, don\'t hesitate to apply. At DeepL, we value potential and growth.

We are an equal opportunity employer

You are welcome at DeepL for who you are—we value authenticity in our workplace. Our product is for everyone, and so is our workplace. We believe that diverse voices strengthen us and help us break down language barriers around the world.