Data Engineer Data Platform (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

As a Data Engineer on our Statista R Data Platform youll own data ingestion and platform reliability end-to-end: designing and operating scalable batch pipelines hardening orchestration ensure data quality security and cost efficiency. Youll partner closely with Data Analysts Software Developers and Data Scientists to deliver well-governed datasets tailored for the teams specific need and maturity to make high-quality data accessible and trustworthy for analysis.

Your role

Develop and optimize ELTs/ ETLs to integrate new data sources and enhance data management in the data lake and other systems

Develop reliable data orchestration workflows to ensure and support the ranking creation process of Statista Rs analyst teams.

Drive cross-functional collaboration with engineering data science and analysis teams to deliver documented reproducible datasets that power rankings KPIs and business decisions.

Monitor and optimize data infrastructure to ensure high availability performance and security

Your profile

Bachelors or masters in computer science Data Science Engineering or related field.

2 years in data engineering building production pipelines and platforms; including a sustained period within one organization seeing a product through build launch iteration

Comfortable in developing ELT/ETL processes and data automation processes using Python and SQL

Proficiency in workflow orchestration containerization and version control tools (e.g. Apache Airflow Docker or git)

Good understanding of data modelling and architecture with a strong interest in best practices

Knowledge in dlt dbt Snowflake infrastructure as code and software development best practices is a plus

Hands-on experience in cloud services and infrastructure (e.g. AWS: S3 Glue Athena ECS RDS)

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.

Required Experience:

IC