Data Engineer (m/f/d)
Data Engineer (m/f/d)
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Job Description
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 job
Facilitate our shift from Redshift to Snowflake from batch to streaming from traditional Reporting to Conversational Analytics.
Drive cross-functional collaboration with engineering product and analytics teams
Develop and optimize ELTs to integrate new data sources and enhance data management in the data warehouse (DWH) and other systems.
Drive business outcomes through data solutions (e.g. reducing costs increasing accessibility)
Provide support for data consumers and downstream services.
Your skills
Data Ingestion / ELTs and Orchestration: Ability to fetch and prepare data using Python & SQL (or other relevant programming languages). Familiarity with a data orchestration tools like Prefect Airflow etc. Familiarity with data ingestion from S3 Iceberg tables APIs databases and external sources.
Cloud Platform Expertise: Hands-on experience with Amazon Web Services (AWS) including services like Redshift Snowflake S3 EC2 and ECS. Knowledge of best practices for data storage security and scalability on AWS. PowerBI and dbt is a plus.
Infrastructure as Code (IaC): Proficiency in using Terraform to define and provision cloud infrastructure (AWS resources). Ability to create and manage infrastructure declaratively ensuring version control and reproducibility.
CI/CD and Automation (Github Actions): Implementation of CI/CD pipelines for seamless software development and deployment. Automation of data workflows reducing manual effort and ensuring efficiency.
Continuous Learning: Stay updated with new ELT and stream processing tools and languages to adapt to evolving requirements.
To be successful:
Understand Common Architectural Patterns.
Believe in delivering high-quality work and actively implement testing.
Be adept at quickly understanding intricate information.
Be a good communicator both in technical discussions and collaboration.
Embrace feedback as an opportunity for personal and professional growth.
Your Team
At Statista Tech our mission is to to harness the possibilities of modern technology to bring Statistas data assets to the fingertips of our customers around the globe as conveniently and reliably as possible. Internally we provide a productive digital workplace environment at Statista globally.
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
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.
Employment Type
Full-Time
