Databricks Data Engineer | Cloud ELT/ETL & Governance

Itransition; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Corporate medical insurance

Gym membership

5 days of paid sick leave

Job summary

Itransition is seeking a London-based Data Engineer (Databricks) to design and implement scalable data solutions for clients in the Operational Risk Management domain. You will work with stakeholders to translate data requirements into robust architectures and ELT/ETL pipelines using modern data stack tools.

The role requires hands-on Databricks and SQL/Python expertise, cloud experience on Azure/AWS, strong communication, and ability to adapt to diverse business domains within agile, fast-paced

Qualifications

• 5+ years of hands-on data engineering experience.
• Experience with Databricks Lakehouse Platform.
• Strong SQL and Python skills.
• Cloud deployment experience (Azure/AWS).
• Excellent stakeholder communication.
• Agile project experience.

Responsibilities

• Surface data requirements with client stakeholders and audit systems.
• Architect scalable, future-proof data solutions for clients.
• Build and maintain production-grade ELT/ETL pipelines.
• Deploy and govern cloud data platforms on Azure and AWS.
• Create technical docs and lead knowledge transfer to client teams.
• Support project scoping, estimation, and reporting with delivery managers.

Skills

Data engineering

Databricks

SQL

Python

Cloud deployment

Stakeholder comms

Agile

Tools

Snowflake

Databricks Certification

Job description

Itransition is seeking a London-based Data Engineer (Databricks) to design and implement scalable data solutions for clients in the Operational Risk Management domain. You will work with stakeholders to translate data requirements into robust architectures and ELT/ETL pipelines using modern data stack tools.

The role requires hands-on Databricks and SQL/Python expertise, cloud experience on Azure/AWS, strong communication, and ability to adapt to diverse business domains within agile, fast-paced