Data Engineer - Azure & Power BI | AI-Ready Pipelines

Amtis Professional

Birmingham

Hybrid

GBP 41,000 - 50,000

Full time

14 days+
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Job summary

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

The role covers ingestion, transformation and modelling, leveraging the Microsoft data stack (Fabric/Azure) and strong SQL skills. You’ll design pipelines, establish data feeds via APIs, transform data with ETL/ELT, and develop Power BI dashboards while ensuring data quality and security in

Qualifications

  • Strong data engineering background across the full data lifecycle.
  • Experience with Microsoft Fabric or Azure data services.

Responsibilities

  • Designing and building reliable data pipelines to ingest data from multiple sources.
  • Working with APIs and other integration methods to maintain data feeds.
  • Developing ETL/ELT processes to model data for reporting and analytics.
  • Designing database structures, schemas and data models.
  • Ensuring data quality, integrity, security and performance across the data platform.
  • Working with SQL and the Microsoft data ecosystem to support dashboards and analytics.
  • Contributing to technical standards and best practices across the data function.
  • Assisting with advanced analytics and AI use cases.

Skills

Microsoft Fabric / Azure data services
SQL
T-SQL
ETL/ELT development
Data modelling
Python
Power BI
DAX
Power Query
Git
Agile
Oracle SQL

Job description

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

The role covers ingestion, transformation and modelling, leveraging the Microsoft data stack (Fabric/Azure) and strong SQL skills. You’ll design pipelines, establish data feeds via APIs, transform data with ETL/ELT, and develop Power BI dashboards while ensuring data quality and security in

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