Sr.Databricks Engineer (AWS)

We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada.

Role Title: Sr.Databricks Engineer (AWS)

Location: Glasgow

Duration: 31/12/2026

Days on site: 2-3

Rate: £402/day on Umbrella

Role Description:

We are currently migrating our data pipelines from AWS to Databricks, and are seeking

a Senior Databricks Engineer to lead and contribute to this transformation. This is a

hands-on engineering role focused on designing, building, and optimizing scalable data

solutions using the Databricks platform.

Key Responsibilities:

Lead the migration of existing AWS-based data pipelines to Databricks.

Design and implement scalable data engineering solutions using Apache Spark on

Databricks.

Collaborate with cross-functional teams to understand data requirements and translate

them into efficient pipelines.

Optimize performance and cost-efficiency of Databricks workloads.

Develop and maintain CI/CD workflows for Databricks using GitLab or similar tools.

Ensure data quality and reliability through robust unit testing and validation

frameworks.

Implement best practices for data governance, security, and access control within

Databricks.

Provide technical mentorship and guidance to junior engineers.

Must-Have Skills:

Strong hands-on experience with Databricks and Apache Spark (preferably PySpark).

Proven track record of building and optimizing data pipelines in cloud environments.

Experience with AWS services such as S3, Glue, Lambda, Step Functions, Athena, IAM,

and VPC.

Proficiency in Python for data engineering tasks.

Familiarity with GitLab for version control and CI/CD.

Strong understanding of unit testing and data validation techniques.

Preferred Qualifications:

Experience with Databricks Delta Lake, Unity Catalog, and MLflow.

Knowledge of CloudFormation or other infrastructure-as-code tools.

AWS or Databricks certifications.

Experience in large-scale data migration projects.

Background in Finance Industry.