Analytics Engineer (Databricks, Spark, AWS)

Role Overview

Join Data Factorii as an Analytics Engineer and participate in high-impact data projects in an international environment.

What You Will Do

Building and industrializing data transformation pipelines, designing reliable and automated pipelines, ensuring data quality, evolving analytical data sets, contributing to the Data strategy, collaborating with Data teams, and participating in continuous improvement.

Why It Might Be a Fit

You are curious, rigorous, and quality-oriented, with an excellent analytical and synthesizing spirit, and a strong Data Engineering dimension.

Requirements

• A minimum of 4 years of experience as an Analytics Engineer, Data Engineer, or 6 years as a Data Analyst with a strong Data Engineering dimension
• Excellent mastery of SQL and good mastery of Python
• Solid experience with Spark
• Solid experience with dbt, especially for data modeling and transformation
• Expertise in Apache Airflow for pipeline orchestration
• Experience with Databricks and the Cloud AWS environment
• Good knowledge of modern data architectures and the Modern Data Stack
• Solid experience in dimensional modeling (Kimball, Data Vault, One Big Table…)
• Good mastery of Git, GitHub, CI/CD practices, and development tools
• Good understanding of Data Lineage, Data Governance, and data documentation
• Good level of English to evolve in an international environment
• Experience with Agile methodologies (Scrum/Kanban)
• Knowledge of Great Expectations for data quality
• Experience with Tableau
• Curiosity about Modern Data Stack tools such as Polars, DuckDB, Malloy, or MetricFlow
• Strong appetite for performance, data quality, and analytical model optimization problems

Benefits

• An attractive and evolving salary based on your experience and skills
• Innovative data projects in an international environment
• Modern technologies and a true data culture
• Continuous skill development on the best practices of Analytics Engineering
• A fully covered health insurance and transportation
• Partial remote work for a better balance between work and personal life

Tagged as: Data Analysis, Python, SQL, Tableau