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Location Hamburg Working Model Full-time Job category Product & IT
Data & Analytics Engineer (m/f/d)
Location Hamburg Working Model Full-time Job category Product & IT
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?
Location Hamburg Working Model Full-time Job category Product & IT Contact Talent Acquisition Reviews Data & Analytics Engineer (m/f/d) Your job
What you do
1. Translate business requirements into data model designs,
2. Create and manage data models in DBT using SQL,
3. Develop and optimize ELTs to integrate new data sources and enhance data management in the data warehouse (DWH),
4. Collaborate with data analysts on ad-hoc modeling using DBT,
5. Assist in data analyst onboarding for DWH (GIT, configuration, tooling),
6. Provide support for provisioning cloud resources.
Your skills
Who you are
7. 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,
8. 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,
9. 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,
10. 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,
11. 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,
12. Continuous Learning: Stay updated with new ELT and stream processing tools and languages to adapt to evolving requirements.
13. 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
Who you will be working with
As a Data & Analytics Engineer in our newly formed central data team, you will play a crucial role in transforming and managing data, ensuring its quality, and facilitating its accessibility for various business needs. Your Benefits
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:
14. Work from abroad 7 days a year
15. Hybrid work and flex-time
16. International team and social events
17. Career & training opportunities
18. Attractive locations and modern offices
19. Mental health support by Fürstenberg Institute