Data Engineer
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Key skills for this role
About the Role
Adecco seeks an experienced Data Engineer to join a high-performing data and analytics team driving enterprise-wide transformation. You will design and optimize scalable batch and real-time data pipelines, build enterprise data lakes, and support AI/ML initiatives.
Key Skills for This Role
Responsibilities
- Design, develop, and optimize scalable batch and real time data pipelines
- Build and maintain enterprise data lakes, lakehouse architectures, and curated analytical datasets
- Develop high performance SQL and Python code for large scale data processing workloads
- Implement robust data quality, validation, monitoring, and observability frameworks
- Develop cloud native data solutions and infrastructure as code deployments
- Collaborate with Data Scientists, BI teams, and business stakeholders to deliver trusted data products
- Support AI and machine learning initiatives by preparing training datasets and enabling MLOps workflows
Requirements
- 5+ years of experience in Data Engineering
- Strong experience designing and building ETL/ELT pipelines at scale
- Advanced expertise in SQL and Python
- Hands on experience with cloud data platforms, preferably Azure
- Experience with modern data warehousing and lakehouse architectures
- Exposure to CI/CD and infrastructure automation practices
Full Job Posting
Job Overview
- Seeking an experienced Data Engineer to join a high performing data and analytics team driving enterprise wide transformation.
Key Responsibilities
- Design, develop, and optimize scalable batch and real time data pipelines.
- Build and maintain enterprise data lakes and lakehouse architectures.
- Develop high performance SQL and Python code for large scale data processing.
- Implement data quality, validation, monitoring, and observability frameworks.
- Develop cloud native data solutions and infrastructure as code deployments.
- Collaborate with Data Scientists, BI teams, and stakeholders.
- Support AI/ML initiatives by preparing training datasets and enabling MLOps.
Required Experience
- 5+ years in Data Engineering.
- Strong experience with ETL/ELT pipelines at scale.
- Advanced SQL and Python.
- Hands on experience with Azure.
- Experience with modern data warehousing and lakehouse architectures.
- Exposure to CI/CD and infrastructure automation.
Top Skills for the Ideal Candidate
- Microsoft Fabric
- Azure Data Factory
- Databricks
- PySpark
- Python
- Advanced SQL
- Lakehouse Architecture
- Delta Lake
- Azure Synapse Analytics
- Terraform
- Infrastructure as Code
- GitHub Actions
Nice to Have
- Scala
- Hadoop ecosystem exposure
- Machine Learning pipeline experience
- Experience supporting enterprise AI initiatives
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