Freelance Data Engineer – Max 3 days per week

IVC Evidensia

. Design, develop and maintain scalable ELT/ETL pipelines in Azure Databricks .

Posted 10/27/2026contractGhent • BelgiumMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable ELT/ETL pipelines using Azure Databricks, with a strong focus on data quality, performance optimization, and cost management. Proficient in translating business requirements into technical solutions while collaborating effectively across teams.

Highest-signal resume keywords

Azure DatabricksSQLPythonData ModelingCloud Data Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ELT PipelinesETL PipelinesData Quality ChecksData Flow DocumentationPerformance OptimizationAzure Data FactoryInfrastructure-as-CodeDelta Lake OptimizationEvent-Driven ArchitecturesGenie

Soft Skills

Excellent Communication SkillsCollaboration

Tools & Technologies

Power BIDatabricks LakehouseAPIsMonitoring ToolsGitHub

Industry Keywords

Bronze Silver Gold Medallion ArchitectureFreelance/B2BUnity CatalogCost ManagementData Engineering

Tech Stack

Tools & technologies

AzureCloudETLPySparkPythonSQLTerraformUnity

About the role

Key responsibilities & impact

Design, develop and maintain scalable ELT/ETL pipelines in Azure Databricks
Work within and improve the existing Bronze, Silver and Gold medallion architecture
Support transition from legacy reporting infrastructure to the Databricks Lakehouse platform
Onboard and integrate internal systems, APIs and external datasets
Improve pipeline reliability, monitoring, observability and performance
Manage platform running costs effectively
Implement validation rules, data quality checks and monitoring
Maintain documentation of data flows and solutions
Follow established engineering and DevOps/GitHub practices
Develop and maintain reliable, well-modelled datasets for Power BI, Databricks AI/BI and self-service analytics
Translate business stakeholder and SME requirements into maintainable technical solutions
Collaborate with Belgian and Group-level colleagues to align local developments with the wider data landscape

Requirements

What you’ll need

Proven experience as a Data Engineer or Analytics Engineer
Available for a maximum of 3 days per week on a freelance/B2B basis
Extensive hands-on experience with Azure Databricks, including AI/BI Dashboards and Genie
Strong SQL skills
Solid understanding of Python and/or PySpark
Familiarity with data modeling principles
Familiarity with orchestration tools such as Azure Data Factory or equivalent
Excellent understanding of cloud data architecture, with focus on performance and cost management
Excellent communication skills in Dutch and English
Knowledge of French is an advantage
Experience with Unity Catalog, Delta Lake optimization, Infrastructure-as-Code (Bicep/Terraform), or event-driven architectures is a strong plus

Benefits

Comp & perks

Competitive day rate aligned with expertise and experience
Freelance/B2B collaboration for an initial duration of 3 months, with option to extend
Maximum 3 days per week
Flexible planning context
Ample opportunities for remote work in a hybrid arrangement
Opportunity to shape a modern data landscape from the ground up
Professional work atmosphere in a rapidly expanding veterinary group