Data Engineer

Description

Join ACENSI as a consultant At ACENSI , we’re on a mission to drive innovation and digital transformation across industries. As part of our continued growth in North America, we’re looking to onboard an experienced Data Engineers with a solid foundation in technical leadership to support an ambitious client project in the Data & AI space. You’ll join one of the largest Data Science Labs in the country — where data engineering is a cornerstone of delivering high-impact machine learning solutions. The work is cutting-edge, the scale is massive, and the impact is real. What You’ll Be Working On Design, build, and deploy secure and efficient data pipelines using AWS, Databricks, Snowflake, and Informatica IICS . Ingest data from a wide range of sources, and apply complex transformations to make it ML-ready. Collaborate closely with data scientists, analysts, architects, and product owners in a dynamic Scrum team . Contribute to defining and applying best practices in data engineering and cloud architecture. Play a leadership role within your team and act as a catalyst for innovation and improvement within our Data Lab. What You Bring Bachelor’s degree in Computer Science, Software Engineering, Mathematics, or a related field. 5 years of experience in software engineering, data engineering, ETL development, or data warehousing. Hands-on experience with cloud platforms and big data technologies for large-scale processing. Strong knowledge of data governance, security, and classification practices. A solid understanding of machine learning and AI pipelines . Proficiency in Python and PySpark ; Java is a strong asset. Passion for continuous learning and collaboration in cross-functional teams. Why Join ACENSI? At ACENSI, we don’t just staff projects — we build partnerships. You’ll be part of a consulting firm with 20 years of experience in Europe and 10 in North America , trusted by major clients in finance, energy, healthcare, and public sectors . We foster a culture of technical excellence, teamwork, and impact . Come help shape the future of data science — we can’t wait to meet you.