Data Engineer

Aluco Talent; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

Aluco Talent is seeking two hands-on Azure Data Engineers to design, build and optimise scalable pipelines that turn data into reliable insight within a modern Azure data platform. You’ll work across the full data lifecycle—from ingestion and transformation to modelling and delivery—using Azure Data Factory, Databricks, Logic Apps, Synapse and related tools.

This role focuses on building production-grade pipelines with performance, reliability and strong data quality, enabling actionable

Qualifications

• Experience with Azure Data Factory, Databricks and Logic Apps.
• Strong data warehousing and ETL background (Kimball preferred).
• Advanced Python and SQL development.
• Experience with relational databases, data modelling and BI/analytics environments.

Responsibilities

• Build and maintain automated, production-grade data pipelines - Azure Data Factory (ADF).
• Ingest, transform and model data from multiple sources into an enterprise data platform.
• Optimise pipelines for performance, reliability and reusability.
• Support data quality, reconciliation and monitoring.
• Work autonomously from raw source through to insight.

Skills

Azure Data Factory

Databricks

Logic Apps

Python

SQL

Data modelling

Power BI

Kimball methodology

Tools

Power BI

Job description

My client is building a modern Azure data platform and looking for two hands-on Azure Data Engineers to design, build and optimise scalable pipelines that turn data into reliable insight.

You’ll work across the full data lifecycle — ingestion, transformation, modelling and delivery — using Azure Data Factory, Databricks, Logic Apps, Synapse and related tools. I

What you’ll do

• Build and maintain automated, production-grade data pipelines - Azure Data Factory (ADF)
• Ingest, transform and model data from multiple sources into an enterprise data platform
• Optimise pipelines for performance, reliability and reusability
• Support data quality, reconciliation and monitoring
• Work autonomously from raw source through to insight

What you’ll bring

• Solid experience with Azure Data Factory, Databricks and Logic Apps
• Strong data warehousing and ETL background (Kimball methodology preferred)
• Advanced Python and SQL Development
• Experience with relational databases, data modelling and BI/analytics environments (Power BI knowledge useful)