Data Engineer at LPL Financial developing Python - based ETL pipelines. Collaborating with cross - functional teams to ensure reliable data delivery and optimizing pipeline performance.
About the role
- AI Data Engineer at Convatec designing and deploying data and AI workflows. Collaborating with AI Engineers and Data Scientists to maintain data pipelines and support analytics.
Responsibilities
- Design, build, and maintain data pipelines using Azure Data Factory, Microsoft Fabric, and Synapse to support AI and analytics workloads.
- Prepare and transform data for AI model training, inference, and retrieval workflows.
- Implement and maintain Lakehouse data models (Delta/Parquet) following Medallion architecture principles.
- Collaborate with AI Engineers to ensure seamless data flow between enterprise systems, APIs, and AI models.
- Develop and test data interfaces and lightweight microservices connecting AI models to business processes.
- Support deployment, monitoring, and performance optimization of AI and automation workflows in production environments.
- Contribute to the setup and maintenance of retrieval-augmented generation (RAG) pipelines and agent-based automation frameworks.
- Use Git and Azure DevOps for version control, CI/CD automation, and deployment of data and AI assets.
- Contribute to Infrastructure-as-Code (IaC) practices using Bicep or Terraform for repeatable deployments.
- Support data and AI governance by documenting processes, lineage, and configuration details to ensure compliance and reusability.
- Translate stakeholder and project requirements into robust, scalable data and AI components.
- Stay current with emerging technologies in AI agents, automation, and data platforms.
Requirements
- 3–6 years’ experience in data engineering, applied AI, or related technical roles.
- Proficiency with Azure Data Factory, Microsoft Fabric, or Synapse Analytics.
- Strong programming skills in Python and SQL for data manipulation and API interaction.
- Understanding of Lakehouse and Medallion architectures, including Parquet, Delta, and JSON data formats.
- Familiarity with Azure AI Services, including Azure ML, Azure OpenAI, and Cognitive Services.
- Experience using Git and Azure DevOps for source control and workflow automation.
- Strong analytical, debugging, and problem-solving abilities with attention to detail.
Benefits
- Flexible working 1 day per week in the office driven by business requirements as Convatec has a flexible approach to office working
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Data Engineer at Keyrus focusing on data solutions and projects to drive performance. Collaborating with teams globally to enhance data transformation and governance processes.
Data Engineer developing scalable data pipelines for ETL/ELT processes using GCP services. Collaborating with team members to optimize data workflows and ensure data integrity.
Data Governance Engineer in Fintech developing a formal cyber data governance framework. Collaborating with cyber security, analytics, and platform engineering teams on metadata and lineage capabilities.
Junior Data Engineer role at Allegro, focusing on developing ETL/ELT pipelines and processing large datasets. Collaborate with cross - functional teams for data quality and reporting.
Data Engineer at Concept Reply developing innovative data - driven solutions in IoT. Collaborating with teams to unlock the potential of data and cloud computing.
Data Engineer creating and managing data pipelines for critical data solutions at S&P Global. Collaborating on enterprise - scale data processing in a supportive, innovative environment.
Data Engineer supporting and evolving data environment in cloud migration. Maintain and optimize existing databases while designing modern data solutions with cross - functional collaboration.
Senior Data Engineer responsible for data pipeline projects at Suprema Gaming. Focus on batch and streaming data solutions while collaborating with business teams.
Senior data leader managing the enterprise data architecture at Breakthru Beverage. Leading high - performing teams in data engineering and defining modern data strategies.