AI Solutions Engineer at Nteractive, defining and delivering the internal AI roadmap through hands - on implementation. Collaborating across functions to drive AI innovation and efficiency.
About the role
- Data & Integration Engineer for Evidentia Group, building data pipelines and integrating systems. Working on scalable data solutions within a collaborative environment.
Responsibilities
- Design, build, and maintain ETL/ELT pipelines using Python and Azure Data Services.
- Develop and optimise SQL-based data models and queries for reporting and analytics.
- Integrate data across systems using APIs, cloud services, and custom connectors.
- Collaborate with cross-functional teams in Agile/Scrum environments to deliver business-focused solutions.
- Ensure data quality, governance, and compliance with internal frameworks.
- Document technical solutions and mentor junior team members.
- Contribute to continuous improvement of data architecture and integration practices.
Requirements
- 5+ years in data engineering, integration, or software development roles.
- Strong proficiency in Python, SQL, and Azure (e.g.SQL Server, Functions, Logic Apps).
- Experience with ETL/ELT processes and data pipeline orchestration.
- Solid understanding of relational databases (e.g., SQL Server, PostgreSQL) and data modelling.
- Familiarity with REST APIs, JSON, and cloud-native integration patterns.
- Bonus: Experience with tools like Power BI, Docker/Kubernetes, Git, and Salesforce.
- Proficiency in other programming languages e.g. C#
Benefits
- Flexible work arrangements
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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