Databricks Data Engineer

Coltech Recruitment; Greater London; On-site; GBP 9,600 - 14,000; Full time

Job summary

Coltech Recruitment is seeking an Azure Databricks Data Engineer in London on a hybrid pattern with HR data focus. You will design scalable data pipelines across data lake, warehouse and mesh, delivering reliable production-ready solutions that support employee lifecycle processes.

The role emphasizes automation, testing, security, observability and long‑term sustainability, collaborating with engineering, product and HR peers to shape scalable data products.

Qualifications

• 8–10 years of hands-on data engineering experience.
• Extensive experience with Azure Databricks and Azure Data Factory.
• Advanced Spark development using Python or Scala, with strong SQL skills.
• Experience with Azure Data Lake Storage Gen2 and Azure SQL or PostgreSQL.
• Strong understanding of Azure analytics services and Azure identity (SPN, SAMI, UAMI).
• Experience designing data lake, data warehouse, data mesh, and service-oriented integration solutions.
• ETL development experience with Informatica, SSIS, Talend or equivalents.
• Experience delivering solutions within an Agile SDLC environment.
• Git/GitLab/GitHub with branching, pull requests and CI/CD.
• Linux or PowerShell scripting.
• Exposure to Docker and automated testing practices.
• Pipeline orchestration tools such as Airflow, Autosys or Control‑M (Airflow preferred).
• Excellent written and verbal English communication skills.
• Kafka or other streaming technologies.
• Terraform, ARM templates, YAML or Puppet.
• GitLab CI/CD pipeline creation.
• Azure Functions and Logic Apps.
• Test‑driven development.
• HR/employee lifecycle data solutions experience.

Responsibilities

• Design and develop scalable data pipelines and analytics solutions using Azure Databricks and Azure Data Factory.
• Build and improve data products supporting HR and employee lifecycle processes.
• Translate business and technical requirements into production-ready solutions.
• Develop data lake, data warehouse and data mesh solutions using Azure services.
• Work with large, complex and multi-format datasets.
• Apply automated testing, CI/CD and DevOps practices throughout the development lifecycle.
• Build observability into solutions to monitor production health and support incident resolution.
• Ensure solutions meet security, reliability, compliance and performance standards.
• Collaborate with engineering, product, HR and other cross‑functional teams.
• Contribute to technical decisions with long‑term scalability and sustainability in mind.

Skills

Data engineering

Azure Databricks

Azure Data Factory

Python/Scala

SQL

English communication

Git/GitLab/GitHub CI/CD

Linux/PowerShell scripting

Docker

Kafka/Streaming

Terraform/ARM/YAML

Tools

Airflow

Autosys/Control‑M

Informatica

SSIS

Talend

GitLab CI/CD

Azure Functions & Logic Apps

Terraform

ARM templates

YAML

Job description

Salary: £9,600 - 14,400 per year

Requirements:

• 8–10 years of hands‑on data engineering experience.
• Strong commercial experience with Azure Databricks and Azure Data Factory.
• Advanced Spark development using Python or Scala, alongside strong SQL skills.
• Experience with Azure Data Lake Storage Gen2 and Azure SQL or PostgreSQL.
• Strong understanding of Azure analytics services and Azure identity, including SPN, SAMI and UAMI.
• Experience designing data lake, data warehouse, data mesh and service‑oriented integration solutions.
• Previous ETL development experience using Informatica, SSIS, Talend or similar.
• Experience delivering solutions within an Agile SDLC environment.
• Strong Git, GitLab or GitHub experience, including branching, pull requests and CI/CD.
• Hands‑on scripting experience with Linux or PowerShell.
• Exposure to Docker and automated testing practices.
• Experience with pipeline orchestration tools such as Apache Airflow, Autosys or Control‑M, with Airflow preferred.
• Excellent written and verbal English communication skills.
• Kafka or other streaming technologies.
• Terraform, ARM templates, YAML or Puppet.
• GitLab CI/CD pipeline creation.
• Azure Functions and Logic Apps.
• Test‑driven development.
• Previous experience delivering data solutions within an HR or employee lifecycle environment

Responsibilities:

• Design and develop scalable data pipelines and analytics solutions using Azure Databricks and Azure Data Factory.
• Build and improve data products supporting HR and employee lifecycle processes.
• Translate business and technical requirements into production-ready solutions.
• Develop data lake, data warehouse and data mesh solutions using Azure services.
• Work with large, complex and multi-format datasets.
• Apply automated testing, CI/CD and DevOps practices throughout the development lifecycle.
• Build observability into solutions to monitor production health and support incident resolution.
• Ensure solutions meet security, reliability, compliance and performance standards.
• Collaborate with engineering, product, HR and other cross‑functional teams.
• Contribute to technical decisions with long‑term scalability and sustainability in mind.

Technologies:

• Airflow
• ARM
• Azure
• CI/CD
• Data Warehouse
• Databricks
• DevOps
• Docker
• ETL
• Git
• GitHub
• GitLab
• Informatica
• Support
• Kafka
• Linux
• PostgreSQL
• PowerShell
• Puppet
• Python
• SQL
• Scala
• Security
• Spark
• SSIS
• Talend
• Terraform
• Cloud

More:

We are hiring an Azure Databricks Data Engineer in London on a hybrid working pattern, with 3–4 days per week onsite. This is an inside IR35 contract role within an HR technology environment, where we focus on building reliable, scalable and production‑quality data solutions across the employee lifecycle. Our team works closely with engineering, product, HR and other cross‑functional partners, with a strong emphasis on automation, testing, security, observability and long‑term sustainability.

last updated 33 week of 2026