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

Statista Inc.; New York (NY); Hybrid; USD 60,000 - 110,000; Full time

Job summary

Join an innovative company that values data and collaboration! As part of a diverse team, you'll develop cutting-edge data publishing infrastructure and optimize data processes. This role offers the chance to work with advanced technologies, ensuring high performance and security. You'll be empowered to innovate, analyze, and automate, contributing to a platform that helps people make informed decisions. Enjoy a hybrid work environment, international team events, and opportunities for career growth. If you're passionate about data and automation, this is the perfect opportunity for you!

Benefits

Work from abroad 10 days a year

Hybrid work and flex-time

International team and social events

Career & training opportunities

Attractive locations and modern offices

Mental health support

Qualifications

• Proficient in developing ETL and data automation processes using Python.
• Strong command of SQL for data manipulation and querying.

Responsibilities

• Collaborate with teams to build data publishing infrastructure.
• Develop data pipelines and orchestration workflows.

Skills

Python

ETL processes

Data automation

SQL

Data modeling

Cloud services (AWS)

English communication

Tools

Apache Airflow

Docker

Git

Job description

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. 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 Tasks

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

Your Profile

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

Your Team

The Product Division is responsible for our platform products – from statistics and reports to consumer and industry insights – we create exclusive digital content from the world's most significant sources, our own primary data, and in-house AI-powered data tools. Over 400 experts, including researchers, analysts, product managers, and data engineers, all work together to provide our customers with one integrated product experience – empowering people with reliable data to make fact-based decisions: https://www.statista.com/

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.
• Career & training opportunities.
• Attractive locations and modern offices.
• Mental health support by Fürstenberg Institute.

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