Data Engineer Modelled Data (mfd)

At Statista were all about facts and data for we are the worlds 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 role

Develop tools that enable large-scale forecasting and modelling of market sizes market shares and other key indicators across Statistas market insights coverage.

Leverage AI and automation to support complex quantitative and qualitative analyses helping analysts focus on interpretation and strategic insights.

Build and maintain the infrastructure required to make these tools accessible to analysts ensuring scalability reliability and seamless integration into Statistas data architecture and platform.

Enable Statista to introduce innovative data offerings that are highly relevant for our customers by integrating forecasts survey data financial filings and third-party datasets into robust pipelines and storage solutions.

Work closely with analysts researchers and other Data Operations teams to deliver solutions that raise efficiency improve data quality and expand the value of our data products.

Your Skills

Comfortable developing in Python with experience in building scalable data pipelines automation and backend services.

Solid understanding of data modelling and architecture with a strong interest in applying and promoting best practices.

Commitment to code quality and maintainability including modular design refactoring code review best practices and thorough documentation.

Ability to translate business needs into standardized automated workflows through process mapping and optimization.

Proficiency with workflow orchestration containerization and version control tools (e.g. Apache Airflow Docker Git).

Hands-on experience with cloud services and infrastructure (preferably AWS : ECS EC2 EKS); experience with Infrastructure-as-Code is a plus.

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 Perplexity Enterprise 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.

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full-Time

Experience : years

Vacancy : 1