Data Engineer building scalable data platforms using Databricks and Azure for Reconomy. Collaborating across teams to deliver high - quality data solutions.
About the role
- Data Engineer building and maintaining data pipelines for Statista, a leading data platform. Collaborating with teams on data infrastructure and optimizing publishing processes.
Responsibilities
- Work collaboratively with our data sourcing and architecture teams to build a state-of-the-art data publishing infrastructure for existing and future products
- Build and maintain data pipelines that scale Statista’s content management and production
- Develop reliable data orchestration workflow to ensure and support the automated publishing processes of Statista’s content teams
- Proactively analyze established processes in our content and data teams to identify opportunities for optimization and automation
- Monitor and optimize data infrastructure to ensure high availability, performance, and security
- Stay up-to-date with important developments in AI & Automation to ensure constant revision and upgrades of our services and tools.
Requirements
- You are comfortable in developing ETL processes and data automation processes using Python
- Proficiency in workflow orchestration, containerization and version control tools (e.g. Apache Airflow, Docker or git)
- You have a good command of SQL for data manipulation and querying
- You have a good understanding of data modelling and architecture, with a strong interest in best practices.
- You have some experience in cloud services and infrastructure (e.g. AWS: ECS, EC2 & RDS); Infrastructure-as-Code is a plus
- You have excellent spoken and written English skills
Benefits
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Engineering Professional at BT Group enabling data - driven decision making through scalable data solutions. Responsible for development, testing, and deployment of ETL/ELT pipelines.
Senior Data Engineer developing scalable data solutions for SimplePractice. Collaborating across teams for data - driven insights and efficient business operations.
Engineer building and operating data systems for Spotify's marketing initiatives. Contributing to data pipelines and integrations supporting global campaigns like Wrapped.
Junior Data Architect role supporting data architecture design and delivery at Solirius Reply. Involves working with clients on scalable and secure data solutions.
Marketing Data Engineer owning technical setup for marketing measurement and supporting data initiatives. Collaborating across multiple departments to ensure reliable tracking and conversion implementation.
Team Lead overseeing Product Data Architecture for a specialized team in Product Data Development. Collaborating with Software Development and Product Management to establish data standards.
Data Engineer responsible for analyzing business data and translating it into technical requirements. Designing and implementing data products in Finance Domain with minimal guidance.
Data Engineer at Ekimetrics responsible for designing and industrializing data pipelines. Develop modern data solutions while deepening knowledge in Data Engineering and Data Science.
Data Engineer developing and maintaining data infrastructure for analytics at OAG. Collaborating with teams to ensure high data reliability and performance across platforms in the travel industry.