Databricks Data Engineer

Coltech; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Coltech in the United Kingdom seeks an experienced Azure Databricks Data Engineer to design, develop and deliver scalable data solutions across HR tech environments. You will build reliable data pipelines and analytics with a strong focus on automation, testing, security and production quality.

You will collaborate with engineering, product and HR teams to drive data initiatives, implement CI/CD, and ensure robust data governance and performance at scale.

Qualifications

• 8-10 years hands-on data engineering experience.
• Strong experience with Azure Databricks and Azure Data Factory.
• Advanced Spark development with Python or Scala; strong SQL.
• Experience with ADLS Gen2 and Azure SQL/PostgreSQL.
• Knowledge of Azure analytics services and Azure identity (SPN/SAMI/UAMI).
• Experience designing data lake/warehouse/mesh and integration solutions.
• ETL development with Informatica/SSIS/Talend.
• Experience in an Agile SDLC environment; CI/CD with Git/GitHub.
• Linux scripting (bash/PowerShell) and Docker exposure.
• Airflow/Control-M/Autosys for orchestration; Kafka streaming.
• Fluent English communication; Terraform/YAML/Puppet familiarity.

Responsibilities

• Design and develop scalable data pipelines and analytics using Azure Databricks and Data Factory.
• Build data products supporting HR and employee lifecycle processes.
• Translate requirements into production-ready solutions.
• Develop data lake, data warehouse and data mesh solutions using Azure services.
• Work with large, multi-format datasets; implement automated testing and CI/CD.
• Build observability and monitor production health; support incidents.
• Ensure security, reliability, compliance and performance standards.
• Collaborate with engineering, product, HR and cross-functional teams.
• Contribute to long-term scalability and sustainability decisions.

Skills

Azure Databricks

Azure Data Factory

Spark (Python/Scala)

SQL

Azure Data Lake Gen2

Azure SQL/PostgreSQL

Azure analytics services

Data lake/warehouse/mesh

ETL tools (Informatica/SSIS/Talend)

Agile SDLC

Git/GitHub + CI/CD

Linux/PowerShell

Docker

Airflow (Apache)

Kafka streaming

Terraform/YAML

Tools

Informatica

SSIS

Talend

Apache Airflow

Control-M

Autosys

Job description

Contract: Inside IR35

Role Overview

We are looking for an experienced Azure Databricks Data Engineer to design, develop and deliver scalable data solutions within an HR technology environment. You will work across the employee lifecycle, building reliable data pipelines and analytics solutions with a strong focus on automation, testing, security and production quality.

Key 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.

Essential Skills and Experience

• 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.