Lead Data Engineering Data Production (mfd)

Statista; Berlin; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading business data platform in Berlin is seeking an experienced Data Engineer to lead the development of automated data production systems. The successful candidate will have a strong background in data engineering and proven experience in managing data pipelines and cloud infrastructure. This role offers hybrid work options and various employee benefits including mental health support.

Leistungen

Work from abroad 10 days a year

Hybrid work and flex-time

International team and social events

Career & training opportunities

Mental health support

Qualifikationen

• 5 years of experience in Data Engineering or related field.
• Strong background in building data pipelines and ETL processes.
• Proficient in Python for developing back-end services.
• Expertise in SQL for large dataset manipulation.
• Hands-on experience with cloud infrastructure (AWS preferred).

Aufgaben

• Lead team in building automated data production systems.
• Oversee data extraction from multiple sources at scale.
• Maintain scalable data pipelines and orchestration workflows.
• Monitor and optimize data infrastructure performance.
• Participate in strategic decisions for automation initiatives.

Kenntnisse

Apache Hive

S3

Hadoop

Redshift

Spark

AWS

Apache Pig

NoSQL

Big Data

Data Warehouse

Kafka

Scala

Tools

Python

Apache Airflow

Docker

git

Jobbeschreibung

At Statista we are all about facts and data. 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 not only proves 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 Statista’s 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 back‑end 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

Employment Type: Full‑Time

Experience: years

Vacancy: 1