Senior Analytics Engineer (m/f/d)

• Design, develop, and maintain scalable data models to support reporting and analytics needs, with a focus on performance and governance.


• Build and optimize data pipelines for transforming raw data into well-organized models, using cloud-based technologies like BigQuery, Athena, and Glue.


• Implement data governance and data quality frameworks to ensure that our data is accurate, consistent, and reliable across all sources.


• Collaborate with data scientists, engineers, and stakeholders to understand business needs and develop models that enable insightful reporting and analytics.


• Integrating and combining data from different sources into standarized source-independent data model.


• Communication with business units to understand requirements and business questions and translate the needs into the data models.


• Ensure compliance with best practices in data governance, privacy, and security standards.


• Automate data validation and quality checks using frameworks like Great Expectations.


• Drive continuous improvements in query performance, data modeling, and pipeline efficiency.


• Partner with engineering teams to integrate modern cloud solutions (BigQuery) into the overall data architecture.

• Proven experience as an Analytics Engineer or Data Engineer, with 5+ years focusing on data modeling and governance.


• Expertise in building, optimizing, and maintaining data pipelines in BigQuery, Glue, and Airflow.


• Strong proficiency in SQL and experience with designing dimensional models (star, snowflake schemas) for performance at scale.


• Solid knowledge of BigQuery and Athena.


• Highly proficient in implementing data quality standards and developing robust data monitoring frameworks.


• Strong understanding of data governance, security, and privacy frameworks to ensure compliance.


• Experience working in an e-commerce related industry and a high level understanding of different analytics use cases, for example, in Marketing, CRM, SEO, and Finance.


• Hands-on experience with data quality frameworks such as Great Expectations or similar tools.


• Experience working with large datasets and optimizing queries for high performance.


• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

With over 50 nationalities represented, we’re proud to welcome people of all backgrounds to our growing community, and we’re always finding new ways to help people feel welcomed and included. Here, you’ll have the tools, training and support you need to work in a way that suits you, learn new skills and reach your potential. We provide flexible office attendance and working hours, up to 30 days paid vacation (depending on the location) and state of the art, modern offices to name a few. Our goal is to support you in doing your best work. Learn more about our  benefits on our career page.

For a career where you can drive our business and shape your future, apply now.