Afarax is looking for a freelance Databricks Senior Data Engineer.
Maximise your chances of a successful application to this job by ensuring your CV and skills are a good match.
We need you! The project Our client in the insurance sector, is seeking an experienced Databricks Data Engineer to strengthen their team.
Objective of the job Databricks Engineering & Implementation Synchronization with the Data Architect on the Target Architecture and Roadmap Lead hands-on implementation of enterprise-grade solutions on the Databricks platform Design and build robust data pipelines using Databricks notebooks, workflows, and Delta architecture Implement scalable ingestion, transformation, and serving frameworks Apply performance tuning and cost optimization techniques across Databricks workloads Ensure reliable CI/CD and deployment practices for Databricks assets Lakehouse Migration & Modernization Support the migration from legacy Azure SQL / Data Vault platforms to a Lakehouse architecture Translate existing data structures into efficient Delta-based models Help modernize batch and future-ready streaming workloads where relevant Contribute pragmatic technical decisions during the transformation Storage & Data Engineering Implement data solutions using: Azure Data Lake Storage (Adls) Delta Lake / Delta Tables Medallion architecture principles (Bronze / Silver / Gold) Build reusable ingestion and transformation patterns Orchestration & Integration Use Azure Data Factory (ADF) for orchestration and integration with enterprise systems Design maintainable scheduling, dependency, and monitoring patterns Governance & Security Guide implementation of security best practices on Databricks Support setup and optimization of Unity Catalog structures, permissions, and governance models Ensure alignment with enterprise standards for access control and compliance Technical Leadership Act as senior technical reference for internal developers and engineering teams Coach and mentor existing teams on Databricks engineering best practices Promote reusable standards, coding discipline, and knowledge sharing Collaborate effectively with architects, analysts, BI teams, and platform teams Reporting & Analytics Enablement Support integration with Power BI using Databricks data sources Help optimize data consumption patterns for reporting and analytics users Is this you? Fluent in English Good knowledge of French and Dutch Experience with Data Vault migration scenarios Experience with Power BI integration Experience with Infrastructure as Code (TerraForm, Bicep, ARM) Experience with DevOps pipelines (Azure DevOps / GitHub Actions) Exposure to streaming architectures or event-driven pipelines xphnsxz Proven real-world Databricks implementation experience in enterprise environments Strong hands-on expertise with: Databricks Workspace Spark / PySpark / SQL Delta Lake / Delta Tables Unity Catalog Databricks Workflows Cluster Pool and Serverless Strong experience with Azure Data Lake Storage (Adls) Strong experience with Azure Data Factory (ADF) Strong understanding of performance optimization and Databricks pricing/cost management Experience migrating legacy data platforms to modern cloud data platforms Ability to define and implement engineering best practices Ability to technically lead teams while remaining hands-on How afarax supports you? You benefit from our extensive network You will have access to projects that fit your expertise We help and support you throughout your project We offer the possibility to build a valuable and lasting partnership