Azure Data Engineer | Databricks | Fabric | Modern Data Platforms
Indexed description
At BindWorks, we're looking for experienced Azure Data Engineers to join challenging Data & AI projects and help design, build and evolve modern enterprise data platforms.
You'll work across the data lifecycle — from ingestion and transformation to storage, orchestration and serving — using the Microsoft Azure Data ecosystem and modern engineering practices.
We're particularly interested in engineers who don't simply build pipelines, but care about performance, scalability, data quality, automation and maintainability.
What You Will Do
- Design and develop scalable data pipelines and ETL/ELT processes
- Build modern Data Lake and Lakehouse architectures
- Develop and optimize workloads using Azure Databricks and Apache Spark
- Implement data ingestion and orchestration using Azure Data Factory
- Work with Microsoft Fabric and modern Azure Data services
- Design efficient data models and transformation layers
- Implement Data Quality, validation and monitoring mechanisms
- Optimize pipelines for performance, reliability and cost
- Develop solutions using Python, PySpark and SQL
- Implement CI/CD and DataOps practices
- Collaborate with Data Architects, Analysts, AI Engineers and business teams
- Contribute to technical design and architecture decisions
What We Are Looking For
Required
5+ years of experience in Data Engineering
Strong experience with the Microsoft Azure Data ecosystem
Hands-on experience with:
- Azure Data Factory
- Azure Databricks
- Azure Data Lake Storage
- Python / PySpark
- SQL
Experience designing ETL/ELT pipelines
Knowledge of Data Lake / Lakehouse architectures
Experience with relational and analytical data models
Git and CI/CD experience
Good understanding of Data Quality and monitoring
Strong analytical and problem-solving skills
Good communication skills in English
Highly Valued
- Microsoft Fabric
- Delta Lake
- Azure Synapse Analytics
- Event Hubs
- Azure Functions
- Power BI
- Unity Catalog
- Data Governance & Lineage
- Microsoft Purview
- Streaming / Real-Time Data
- Terraform
- Azure DevOps
- Docker
- DataOps
- Exposure to AI/ML workloads
Azure Certifications — Highly Valued
Relevant Microsoft Azure certifications will be considered a strong advantage, particularly certifications related to:
- Azure Data Engineering
- Microsoft Fabric
- Azure Solutions Architecture
- Azure AI
- Power BI / Data Analytics
What We Offer
- Modern enterprise Data & AI projects
- Exposure to Azure, Databricks, Fabric and emerging technologies
- Technically strong and collaborative teams
- Technical autonomy and ownership
- Continuous learning and certification opportunities
- Long-term career development
- Flexible working models depending on the project
- Close support from BindWorks throughout your journey
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