Databricks Platform Engineer
Locations:
Iselin, Remote / Relocation to Abu Dhabi available, United States
Type:
Contract
Published:
January 16, 2026
Contact:
Connor Andrews
Ref:
19716
Required Skills:
Databricks,Pyspark,PythonShare this job
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Job title: Databricks Platform Engineer
Job type: B2B
Contract Length: 12 months
Role Location: Remote / Relocation to Abu Dhabi available
Client Industry: IT Consultancy / Financial Services
Role and Responsibilities:
• Collaborate with stakeholders during requirements clarification and sprint planning to ensure alignment with business objectives.
• Design and implement technical solutions on Lakehouse platform (Databricks), including:
Prototyping new Databricks capabilities.
Exposing these capabilities to support Data Products strategy, and Data & AI ecosystem.
• Integrate data platforms with enterprise tools, including:
• Support QA teams during acceptance testing.
• Act as a third-line engineer for production incidents, ensuring system stability and uptime.
• Collaborate with cloud and infrastructure teams to deliver secure, scalable, and reliable solutions.
Job Requirements:
• Collaboration Tools: Skilled in Azure DevOps for project management.
• Problem-Solving: Strong debugging and troubleshooting skills for complex data engineering issues.
• Communication: Exceptional written and verbal skills, able to explain technical concepts to non-technical stakeholders.
Job type: B2B
Contract Length: 12 months
Role Location: Remote / Relocation to Abu Dhabi available
Client Industry: IT Consultancy / Financial Services
Role and Responsibilities:
• Collaborate with stakeholders during requirements clarification and sprint planning to ensure alignment with business objectives.
• Design and implement technical solutions on Lakehouse platform (Databricks), including:
Prototyping new Databricks capabilities.
Exposing these capabilities to support Data Products strategy, and Data & AI ecosystem.
• Integrate data platforms with enterprise tools, including:
- Incident and monitoring systems (e.g., ServiceNow).
- Identity management solutions.
- Data observability tools (e.g., Dynatrace).
• Support QA teams during acceptance testing.
• Act as a third-line engineer for production incidents, ensuring system stability and uptime.
• Collaborate with cloud and infrastructure teams to deliver secure, scalable, and reliable solutions.
Job Requirements:
- Expert knowledge of Databricks.
- Proficient in PySpark for distributed computing
- Python for library development.
- Advanced SQL skills for complex query optimisation (e.g., Oracle, MS SQL).
- Experience with Git for version control.
- Familiarity with monitoring tools (e.g., ServiceNow, Prometheus, Grafana).
- Knowledge of scheduling tools (e.g., Stonebranch, Control-M, Airflow).
- Proficiency in data quality frameworks (e.g., Great Expectations, ideally Monte Carlo).
- Solid understanding of cloud infrastructure fundamentals (DNS, certificates, identity, load balancing).
- Note: The primary focus is building platform capabilities rather than writing ETL pipelines.
• Collaboration Tools: Skilled in Azure DevOps for project management.
• Problem-Solving: Strong debugging and troubleshooting skills for complex data engineering issues.
• Communication: Exceptional written and verbal skills, able to explain technical concepts to non-technical stakeholders.
