Shape the world of data. Your way.
Data & Analytics Engineer (m/f/d)
At Statista, we’re all about facts and data, for 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, 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?
What you do
- Translate business requirements into data model designs,
- Create and manage data models in DBT using SQL,
- Develop and optimize ELTs to integrate new data sources and enhance data management in the data warehouse (DWH),
- Collaborate with data analysts on ad-hoc modeling using DBT,
- Assist in data analyst onboarding for DWH (GIT, configuration, tooling),
- Provide support for provisioning cloud resources.
Who you are
- Data Transformation and Modelling with DBT: Experience in building and maintaining dbt models, managing data pipelines, and ensuring data quality. Proficient in SQL: query optimization and query tuning,
- Data Ingestion / ELTs and Orchestration: Ability to fetch and prepare data using Python & SQL (or other relevant programming languages). Familiarity with a data orchestration tool like Prefect, Airflow, etc. Familiarity with data ingestion from APIs, databases, and external sources,
- Cloud Platform Expertise: Hands-on experience with Amazon Web Services (AWS) preferable, including services like Redshift, S3, EC2, and ECS. Knowledge of best practices for data storage, security, and scalability on AWS,
- Infrastructure as Code (IaC) Skills: 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.
Who you will be working with
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 7 days a year
Hybrid work and flex-time
International team and social events
Career & training opportunities
Attractive locations and modern offices
Mental health support by Fürstenberg Institute
