Description:
Akkodis is seeking a Data Engineer for a Contract to Hire (C2H) position, and this is a 100% Remote role. Ideally, the client is looking for applicants with a solid background in Python, Lakehouse, Iceberg, DBT, Kafka, and Dagster/Airflow.
Responsibilities
- Build and support data pipelines that ingest, transform, and publish data for analytics and data products.
- Develop well-structured datasets using modern modeling and testing practices (e.g., dbt).
- Orchestrate and monitor workflows using tools like Dagster (or similar).
- Improve reliability through automation, testing, documentation, monitoring, and operational best practices.
- Partner with engineers and stakeholders to understand needs and deliver high-quality data solutions
Qualifications
- 6+ years of experience in data engineering, analytics engineering, software engineering, or a related role (or equivalent practical experience).
- Experience with Python and SQL in production environments.
- Experience with or strong interest in learning Azure and Databricks.
- Experience with or strong interest in learning Dagster and dbt.
- Understanding of Lakehouse/data lake architecture concepts and how data is curated for analytics use cases.
- Strong communication skills and ability to work effectively with cross-functional teams.
Preferred Qualifications
- Experience with AI-assisted software engineering.
- Experience with Spark-based processing, Lakehouse table formats, and performance optimization.
- Familiarity with CI/CD, Git-based workflows, and production support/on-call practices.