Data Engineering Capability Statement
Our focus across Databricks, cloud data platforms, pipelines, governance and analytics-ready data.
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Data Engineering
Build Your Data Engineering Team. Faster.
Add experienced Data Engineers for modern data platforms, scalable pipelines, cloud migration and reliable analytics. Cubic helps you strengthen your team with technical talent across Databricks, Snowflake, AWS and Azure, without limiting your hiring options to one industry.
The engineering behind reliable data
Pipelines and integration
Add engineers for ETL/ELT, batch and real-time processing, API integration and Kafka-based data flows.
Databricks and lakehouse
Find talent for Spark and PySpark workloads, Delta Lake, lakehouse architecture and data processing.
Cloud data platforms
Support modernization and migration work across AWS, Azure, Snowflake, Azure Data Factory and AWS Glue.
Data quality and DataOps
Strengthen testing, monitoring, CI/CD, observability and pipeline reliability.
Governance and AI-ready data
Support data modeling, lineage and controlled access so analytics and AI teams can work with reliable inputs.
Databricks-certified talent
Databricks-certified talent for your next data initiative.
Access a pipeline of Databricks-certified Data Engineers for lakehouse development, Spark and PySpark workloads, ETL/ELT pipelines and cloud data modernization. We match technical skills, relevant experience and availability to the work your team needs to deliver.
Where certified engineers contribute
LakehouseDelta Lake, lakehouse architecture
ProcessingSpark and PySpark workloads
PipelinesETL/ELT, batch and real-time
ModernizationCloud data migration on AWS and Azure
Roles we help you fill
Data EngineersDatabricks EngineersCloud Data EngineersData Platform EngineersETL DevelopersData Architects
The shortlist is shaped by your required skills, seniority, working arrangement and project needs.
One specialty. A broad range of business needs.
Whether you operate in healthcare, insurance, financial services, SaaS, retail, logistics or another data-driven sector, the starting point is your data challenge and the skills your team needs. Add one engineer or build additional project capacity through contract staffing, temp-to-hire or direct hire.
Working with sensitive or regulated data?
Discuss HIPAA/PHI requirements, governance expectations, background checks, any required business associate agreement and insurance documentation before onboarding. We align the staffing process with the agreed requirements of the engagement.
Our process
A clear process. A direct working relationship.
Understand the requirement
Tell us about the role, technology stack, experience level, location, timeline and engagement preference. We also discuss how candidates will be evaluated.
Match the talent
We review relevant skills and project experience, then introduce candidates for your consideration.
Interview and decide
Your team meets the candidates and decides who fits. Cubic coordinates scheduling, feedback and next steps.
Onboard and stay connected
We coordinate the agreement, agreed screening and onboarding. For Cubic-employed contractors, we manage payroll and employment administration and remain involved during the engagement.
Engagement options
Contract staffing
Add Cubic-employed professionals for an agreed engagement.
Temp-to-hire
Begin with a contract arrangement and discuss conversion under agreed terms.
Direct hire
Recruit for a permanent position with your organization.
Project-based staffing
Add specialists to your project team; scope, management and responsibilities are agreed in advance.
Related resource
Share the overview with your team.
Review the capability statement, or contact us to discuss a specific role.