Senior Analytics Engineer

Job not on LinkedIn

October 11

Apply Now

Receive Emails with Similar Jobs

InPost Group

WebsiteLinkedInAll Job Openings

eCommerce • Transport • Logistics

InPost Group is Europe's leading e-commerce enablement platform, specializing in out-of-home delivery services. Founded in 1999 by CEO Rafal Brzoska, InPost provides cost-effective and environmentally friendly delivery solutions through a robust network of Automated Parcel Machines (APMs) and courier services. The company also offers pick-up drop-off (PUDO) services, enhancing convenience and efficiency for e-commerce merchants across Europe. InPost is committed to sustainability, reducing carbon emissions significantly in its delivery processes. With operations in countries like Poland, France, Benelux, the UK, and Italy, InPost continues to expand its innovative technology solutions to drive long-term growth in the e-commerce sector.

10,000+ employees

🛍️ eCommerce

🚗 Transport

📋 Description

• 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 • Opportunities for hands-on coding, analyzing AI readiness and implementing AI solutions to automate data development tasks • Work with various Data&AI competencies (Data Consultants, Data Engineers, AI Engineers, Cloud Engineers, Data Architect)

🎯 Requirements

• At least 5 years of experience in an analytical role working with large datasets • Experience in data modeling and implementing complex data-driven solutions is a strong plus • Excellent proficiency in Python/PySpark for data analysis, SQL for data processing, bash scripting to manage Git repositories • Comprehensive understanding of the technical aspects of data warehousing, including dimensional data modeling and ETL/ELT processes • Experience with real-time data processing and the ability to handle data from various backend/frontend systems. • Familiarity with cloud-based data platforms (GCP/Azure/AWS) • The ability to present technical concepts and solutions to diverse audiences • Self-motivated with the ability to work independently and manage multiple tasks • Excellent interpersonal skills with the ability to collaborate effectively with cross-functional teams • Fluent in English: verbal and written • Nice to have: Experience in working with Apache Spark in Databricks • Familiarity with modern data building tools like Apache Airflow, DBT • Familiarity with data visualization tools such as PowerBI/Tableau/Looker • Knowledge of data governance principles and practices • Ability to thrive in a highly agile, intensely iterative environment • Positive and solution-oriented mindset

🏖️ Benefits

• Remote work is possible