Azure Data Engineer

Accion Labs

London, UK

1 day ago

Apply on www.collegerecruiter.com

Prepare application

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.collegerecruiter.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Microsoft Azure Databases Continuous Integration Information Engineering Data Governance Data Integration Extract Transform Load (ETL) Data Security Data Visualization Data Warehousing

+15 more

DevOps Python (Programming Language) Machine Learning Power BI Standard Sql SQL Databases Data Processing Microsoft Power Automate Azure Data Factory Microsoft Fabric Data Lakes Azure Synapse Analytics Data Pipelines Serverless Computing Databricks

Job description

Design and develop real-time and ETL/ELT data pipelines integrating multiple data sources (APIs, databases, flat files).
Support the development and maintenance of a scalable data warehouse for reporting and analytics.
Build and enhance Power BI dashboards and reports for business stakeholders.
Develop data integration workflows using Azure Data Factory, Logic Apps, and Azure Functions.
Perform data processing and transformation using Python and SQL.
Contribute to AI-driven solutions using OpenAI APIs for automation, NLP, and insights.
Assist in building AI agents for post-sales call audits and analysis.
Collaborate with cross-functional teams including analysts, product managers, and data scientists.
Monitor pipeline performance and ensure data quality, consistency, and reliability.
Follow best practices for data governance, security, and compliance.

Requirements

We are looking for an experienced Azure Data Engineer with strong expertise in Azure Data Services, Data Warehousing, ETL Development, and Data Visualization. The ideal candidate should be capable of designing scalable data solutions and delivering business-critical analytics platforms., * 5 - 7 years of experience in Data Engineering or similar roles.

Hands-on experience in building ETL/ELT data pipelines.
Strong proficiency in Python for data manipulation and automation.
Solid SQL skills for querying and managing data.
Experience with Azure ecosystem:
Azure Synapse / Data Lake (preferred exposure)
Experience in Power BI for reporting and dashboards.
Basic exposure to OpenAI APIs / AI/ML concepts.
Good understanding of data warehousing concepts.
Strong analytical and problem-solving skills.

Preferred Qualifications

Exposure to DevOps / CI-CD pipelines.
Familiarity with Databricks / Microsoft Fabric.
Understanding of data privacy regulations (GDPR) and secure data handling practices.