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Company Description InPost Group is an innovative European out-of-home deliveries company, revolutionizing the way parcels are delivered to customers. With operations across several countries, our network of intelligent lockers (Paczkomat®) provides customers with a fast, convenient, and secure delivery option. Our mission is to provide best-in-class user experience for merchants and consumers. "Simplify everything" – redefining e-commerce logistics. We work by innovating the market with constant technological research and with meticulous attention to the customer. The Data & AI department is seeking a (Senior) Analytics Engineer to join our Core Team. In this role, you'll shape analytical standards and implement innovative solutions, impacting our operations across Poland and 7 international markets. Remote work is possible. Daily you’ll work with: Apache Spark in Databricks, Databricks various features, Python\PySpark, SQL, Kafka, Power BI, GitLab, Google BigQuery, inhouse data modeling tool. Job Description On a daily basis you will: drive innovation and improvements by evaluating new tools (e.g., Data Quality monitoring) and platform features (e.g., Genie Space on Databricks). monitor the effectiveness of solutions by tracking implemented actions (e.g., naming convention adherence, metadata completeness, MR quality). define workflows and coding standards for style, maintainability, and best practices on the analytical platform. evangelize platform users on the best practices for its use and encouraging teams to continuously improve their working methods. Advocate for coding standards through various workshops and guidelines. monitor the market for new tools and methodologies in data product development area. while the role involves conceptual work, you'll also have opportunities for hands-on coding, such as analyzing AI readiness and implementing AI solutions to automate data development tasks. work with various Data&AI competencies (Data Consultants, Data Engin