DeepL is a global communications platform powered by Language AI, aiming to break down language barriers since 2017.
The company serves over 100,000 businesses and millions of individuals, enhancing communication and productivity.
The Senior Data Engineer will be part of a versatile team responsible for building and maintaining data models, libraries, and tooling for data processing.
Key responsibilities include developing ETL pipelines, creating foundational data models, integrating new data sources, and supporting data specialists.
The role involves collaboration with product managers, data scientists, and developers to solve complex technical challenges using various data sources.
Responsibilities also include monitoring data system performance, ensuring data quality, maintaining documentation, and mentoring junior team members.
Requirements:
Candidates should have 3+ years of experience in data or analytics engineering roles, focusing on cloud data platforms.
Advanced proficiency in SQL for writing complex queries and optimizing performance is required.
Experience in Python for data manipulation and scripting is necessary.
Hands-on experience with cloud data warehouses like Snowflake, Databricks, or BigQuery is essential.
Familiarity with OLAP, click stream, real-time event processing databases, and on-prem data warehouse experience is valuable.
Expertise in designing and implementing data models for analytics is required.
Experience with data orchestration and transformation tools like dbt, Airflow, or similar is necessary.
A product mindset to work directly with business stakeholders and translate analytics needs into user-friendly data products is essential.
Candidates should have experience diagnosing and resolving data issues and outages, and be prepared for on-call rotations.
Strong problem-solving abilities, communication skills, and a collaborative mindset are important.
Benefits:
Employees will join a diverse and internationally distributed team with over 90 nationalities, fostering a global community.
The company promotes open communication and regular feedback, valuing clear and honest interactions.
A hybrid work schedule is offered, allowing team members to work from home while coming into the office twice a week.
Regular in-person team events are organized to strengthen team bonds and enhance collaboration.
Monthly full-day hacking sessions, known as Hack Fridays, allow employees to work on projects they are passionate about.
Employees receive 30 days of annual leave, excluding public holidays, along with access to mental health resources.
A competitive benefits package is tailored to reflect the diversity of the team and support employees in their unique locations.
