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#
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