We are looking for a few Mid/Senior Data Engineers with Databricks experience to join our clients project in the debt collection industry. In this role, you will work at the forefront of data engineering technology, collaborating closely with customers to create high impact, data driven solutions.
responsibilities :
Develop and operate scalable, robust analytical models and modern data pipelines.
Design and build data platforms, data models, and ETL/ELT workflows.
Innovate with customers to identify new opportunities and drive data driven value.
Champion best practices in architecture, data quality, reliability, and performance.
Leverage Microsoft Azure services for data processing, transformation, orchestration, and storage.
Construct top tier cloud solutions that enable customers to adopt a modern data driven approach.
Support migrations from on premises to cloud and hybrid integrations.
Act as a technical advisor, problem solver, and trusted partner to business stakeholders
requirements-expected :
Excellent English and French communication skills
4+ years of experience as Data Engineer
Strong expertise in Databricks Lakehouse, including Delta Lake, Apache Spark, and MLflow.
Hands on experience with Azure services in modern data platforms.
Practical knowledge of Azure DevOps, Git-based workflows, and CI/CD processes.
Experience with ETL/ELT tools such as Azure Data Factory, Databricks, dbt Cloud, Snowflake.
Experience with Data Lakes or Lakehouse architectures.
Strong SQL skills and solid grounding in information and dimensional modelling.
Background in hybrid data environments and on premises integrations.
Ability to communicate clearly with both technical and business stakeholders.
