Hybrid Data Engineer – Azure/Data Platform & Analytics

Amtis Professional; Coleshill Heath; Hybrid; GBP 27,000 - 45,000; Full time

Job summary

Amtis Professional is hiring a Data Engineer in Birmingham for a hybrid, permanent role. You will help build the data platform supporting reporting, analytics, and AI use cases across the organisation.

You’ll work across the data lifecycle with a Microsoft data stack focus, including Fabric/Azure services, SQL, ETL/ELT, data modelling, and Power BI. Strong Python, APIs, and Git experience are valued.

Qualifications

• Experience with Microsoft Fabric and/or Azure data services.
• Strong SQL/T-SQL, data modelling and ETL/ELT development.
• Proficiency in Python and Power BI for analytics dashboards.
• Experience integrating data from APIs and multiple sources.
• Familiarity with Git and Agile delivery practices.

Responsibilities

• Design and build data pipelines ingesting data from multiple sources.
• Establish and maintain data feeds via APIs and integration methods.
• Develop ETL/ELT processes to transform and model data for reporting.
• Design database structures, schemas and data models.
• Ensure data quality, integrity, security and performance.
• Work with SQL and the Microsoft data stack for analytics.
• Support reporting and self-service analytics, including dashboards.
• Build Power BI dashboards as needed.
• Translate business requirements into technical solutions.
• Produce high-level and detailed technical designs.
• Explore AI/ML opportunities to add value from data.
• Contribute to technical standards and best practices.

Skills

Python

Power BI

DAX

Power Query / M

APIs integration

Agile delivery

Git

Tools

Microsoft Fabric

Azure data services

SQL

T-SQL

ETL/ELT development

Data modelling

Database design

Oracle SQL

Oracle databases

Job description

Amtis Professional is hiring a Data Engineer in Birmingham for a hybrid, permanent role. You will help build the data platform supporting reporting, analytics, and AI use cases across the organisation.

You’ll work across the data lifecycle with a Microsoft data stack focus, including Fabric/Azure services, SQL, ETL/ELT, data modelling, and Power BI. Strong Python, APIs, and Git experience are valued.