Lead Data Engineering Data Production (mfd)

Berlin - Germany

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

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

Tasks:

Contribute to Statistas Data Production mission by building an automated at-scale production machine for high-value data that empowers corporates and AI-builders worldwide.
Lead your team both disciplinarily and professionally setting objectives managing delivery and actively contributing to high-priority projects.
Oversee the extraction of data from multiple sources at scale leveraging automation and AI tools where applicable and ensure data is structured processed and ready for further use or publication.
Build and maintain scalable data pipelines and orchestration workflows to support both data production and content publishing processes.
Monitor and optimize the performance reliability and security of data infrastructure ensuring high availability across all systems.
Collaborate with internal stakeholders to understand requirements provide automated sourcing solutions and facilitate large-scale data ingestion and publishing.
Participate in strategic decisions for data production value contribution AI & automation initiatives
Continuously analyze established processes and identify opportunities for automation and optimization across production and publishing workflows.

Requirements:

5 years of experience in Data Engineering Data Operations or a related field with a strong track record of leading technical teams and delivering complex data solutions.
Demonstrated experience in building and scaling data pipelines ETL processes and automated workflows in production environments.
Strong Python skills for developing scalable automation backend services and data processing pipelines.
Proficiency in workflow orchestration containerization and version control tools (e.g. Apache Airflow Docker git).
Expert command of SQL for querying manipulation and optimization of large datasets.
Deep understanding of data modeling and architecture with a proven ability to implement best practices for robust scalable and maintainable systems.
Hands-on experience with cloud infrastructure (AWS preferred: ECS EC2 RDS S3) including deployment monitoring and management; Infrastructure-as-Code is a plus.
Track record of strategic thinking and execution able to align data production and publishing initiatives with business goals.

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 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.

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...

Are you ready to join us

Tasks:

Contribute to Statistas Data Production mission by building an automated at-scale production machine for high-value data that empowers corporates and AI-builders worldwide.
Lead your team both disciplinarily and professionally setting objectives managing delivery and actively contributing to high-priority projects.
Oversee the extraction of data from multiple sources at scale leveraging automation and AI tools where applicable and ensure data is structured processed and ready for further use or publication.
Build and maintain scalable data pipelines and orchestration workflows to support both data production and content publishing processes.
Monitor and optimize the performance reliability and security of data infrastructure ensuring high availability across all systems.
Collaborate with internal stakeholders to understand requirements provide automated sourcing solutions and facilitate large-scale data ingestion and publishing.
Participate in strategic decisions for data production value contribution AI & automation initiatives
Continuously analyze established processes and identify opportunities for automation and optimization across production and publishing workflows.

Requirements:

5 years of experience in Data Engineering Data Operations or a related field with a strong track record of leading technical teams and delivering complex data solutions.
Demonstrated experience in building and scaling data pipelines ETL processes and automated workflows in production environments.
Strong Python skills for developing scalable automation backend services and data processing pipelines.
Proficiency in workflow orchestration containerization and version control tools (e.g. Apache Airflow Docker git).
Expert command of SQL for querying manipulation and optimization of large datasets.
Deep understanding of data modeling and architecture with a proven ability to implement best practices for robust scalable and maintainable systems.
Hands-on experience with cloud infrastructure (AWS preferred: ECS EC2 RDS S3) including deployment monitoring and management; Infrastructure-as-Code is a plus.
Track record of strategic thinking and execution able to align data production and publishing initiatives with business goals.

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 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

Apply Now

About Company

Statista

Find statistics, consumer survey results and industry studies from over 22,500 sources on over 60,000 topics on the internet's leading statistics database

View Profile View Profile

AI AutoApply

Apply to 100+ jobs with one click