Senior Data Engineer – Azure, DBT & ETL Pipelines

Red Engine; Greater London; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Annual bonus

33 days annual leave

Fusion working (office + home)

Job summary

Red Engine, a leading hospitality analytics team, is looking for a Data Engineer to build and maintain data pipelines and Azure-based ETL/ELT solutions. You will work with Data Analysts to model data in DBT and support reports and dashboards.

The role requires strong SQL Server, Databricks, and CI/CD experience, plus familiarity with modern data formats and IaC tools. Hybrid work and in-venue collaborations are available in our London-based offices.

Qualifications

• Extensive experience building ETL/ELT pipelines across structured and unstructured sources.
• Proficiency with Azure data services and Databricks for data engineering.
• Proven ability to model data in a warehouse using standard approaches (Inmon/Kimball).

Responsibilities

• Developing and maintaining data pipelines to ingest data from disparate sources into a centralized analytics platform.
• Designing and implementing data engineering solutions using T-SQL, Python, PySpark and DBT in Azure.
• Promoting business logic into DBT data models to support reports and dashboards.
• Maintaining CI/CD deployment pipelines and updating documentation in Azure DevOps.
• Documentation of technical work in accessible language for technical and non-technical audiences.

Skills

ETL/ELT pipelines

Azure Data Factory

Databricks

Logic Apps

Function App

ADLS

SQL Server

DBT

Parquet/Delta/Iceberg/Hudi

REST API data sources

CI/CD

Terraform/Pulumi

MS Fabric

Agile

Data warehousing (Inmon/Kimball)

Python

Tools

DBT

Job description

Red Engine, a leading hospitality analytics team, is looking for a Data Engineer to build and maintain data pipelines and Azure-based ETL/ELT solutions. You will work with Data Analysts to model data in DBT and support reports and dashboards.

The role requires strong SQL Server, Databricks, and CI/CD experience, plus familiarity with modern data formats and IaC tools. Hybrid work and in-venue collaborations are available in our London-based offices.