(Junior) Data Engineer (m/f/d)

Projectstudy; Berlin; Hybrid; EUR 60.000 - 90.000; Vollzeit

Benefits dieser Stelle

Hybrid work and flex-time

Career & training opportunities

International team and social events

Subsidized urban mobility

Free Langdock access

Mental health support with OpenUp

Zusammenfassung

Statista is hiring to build a state-of-the-art data publishing infrastructure for existing and future products. You will collaborate with data sourcing and architecture teams to design and scale data pipelines powering content management and production.

The role requires Python-based ETL development, experience with Airflow, Docker, SQL, and a solid understanding of data modelling and cloud infrastructure. It offers hybrid work, an international team, and career training opportunities.

Qualifikationen

• Proficient in building ETL/data automation pipelines using Python (ETL development).
• Experience with workflow orchestration and containerization tools (Airflow, Docker).
• Strong SQL skills for data manipulation and querying.
• Good understanding of data modelling and architecture.
• Experience with cloud services (AWS ECS/EC2/RDS) is a plus.
• Excellent English communication skills.

Aufgaben

• Collaborate with data sourcing and architecture teams to build data publishing infrastructure for existing and future products.
• Build and maintain data pipelines that scale Statista’s content management and production.
• Develop reliable data orchestration workflows to support automated publishing processes.
• Analyze established processes to identify opportunities for optimization and automation.
• Monitor and optimize data infrastructure for high availability, performance, and security.
• Stay up-to-date with AI & Automation developments to revise and upgrade services.

Kenntnisse

ETL development

Python

Workflow orchestration

Containerization

Git

SQL

Data modelling

Cloud services

Infrastructure as Code

English proficiency

Tools

Apache Airflow

Docker

Git

SQL

Python

AWS

ECS

EC2

RDS

Infrastructure as Code

Jobbeschreibung

Your Role

• Work collaboratively with our data sourcing and architecture teams to build a state-of-the-art data publishing infrastructure for existing and future products
• Build and maintain data pipelines that scale Statista’s content management and production
• Develop reliable data orchestration workflow to ensure and support the automated publishing processes of Statista’s content teams
• Proactively analyze established processes in our content and data teams to identify opportunities for optimization and automation
• Monitor and optimize data infrastructure to ensure high availability, performance, and security
• Stay up-to-date with important developments in AI & Automation to ensure constant revision and upgrades of our services and tools.

Your Profile

• You are comfortable in developing ETL processes and data automation processes using Python
• Proficiency in workflow orchestration, containerization and version control tools (e.g. Apache Airflow, Docker or git)
• You have a good command of SQL for data manipulation and querying
• You have a good understanding of data modelling and architecture, with a strong interest in best practices.
• You have some experience in cloud services and infrastructure (e.g. AWS: ECS, EC2 & RDS); Infrastructure-as-Code is a plus
• You have excellent spoken and written English skills

What we offer

In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from:

• Work from abroad up to 30 calendar days a year
• Hybrid work and flex-time
• International team and social events
• Subsidized urban mobility and access to fitness and wellness options
• Free access to Langdock and all its amazing functionalities
• Career & training opportunities
• Attractive locations and modern offices
• Mental health support with OpenUp

Some of the benefits listed here apply only to the German entity and to Junior-level roles or above.