Data Ops Engineer - Data Publishing (m/f/d)

Statista GmbH; Deutschland; Hybrid; EUR 50.000 - 70.000; Vollzeit

Zusammenfassung

A leading data platform company in Germany seeks a skilled Data Engineer to enhance data publishing infrastructure and optimize workflow automation. Ideal candidates have strong Python skills, experience in ETL processes, and a background working with cloud services. Join a diverse team that values collaboration and offers flexible hybrid working arrangements alongside several employee benefits.

Leistungen

Work from abroad 10 days a year

Hybrid work and flex-time

Free access to Perplexity Enterprise Pro

Career & training opportunities

Mental health support

Qualifikationen

• Experience developing ETL processes and data automation.
• Proficiency in SQL for data manipulation.
• Familiarity with cloud infrastructure (AWS) a plus.

Aufgaben

• Build and maintain data publishing infrastructure.
• Develop reliable data orchestration workflows.
• Analyze and optimize content and data processes.

Kenntnisse

ETL processes

Data automation using Python

Workflow orchestration

Containerization

SQL proficiency

Data modelling

Cloud services (e.g., AWS)

Git

Infrastructure-as-Code

English communication

Tools

Apache Airflow

Docker

Jobbeschreibung

At Statista, we're all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions.

Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees.

We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Your story matters - keep writing it as part of our team.

Are you ready to join us?

Your Job

• 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 Skills

• 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 10 days a year (up to 30 if your family lives abroad)
• Hybrid work and flex-time
• International team and social events
• Free access to Perplexity Enterprise Pro 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.