Azure Data Engineer | Databricks | Fabric | Modern Data Platforms

BindWorks; Porto; Presencial; EUR 55 000 - 75 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Modern enterprise Data & AI projects

Continuous learning and certification 

Flexible working models depending on 

Close support from BindWorks

Resumo da oferta

BindWorks is seeking an experienced Azure Data Engineer 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—utilizing the Microsoft Azure Data ecosystem and modern engineering practices.

We value engineers who care about performance, scalability, data quality, automation and maintainability, going beyond simple pipelines to deliver

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Data Engineering

Azure Data

ETL/ELT pipelines

Data quality

CI/CD

Python

PySpark

SQL

English

Ferramentas

Azure Data Factory

Azure Databricks

Azure Data Lake Storage

Python

PySpark

SQL

Microsoft Fabric

Delta Lake

Azure Synapse Analytics

Power BI

Terraform

Azure DevOps

Docker

Descrição da oferta de emprego

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.

About The Opportunity

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