CI&T
Financial Services
SeniorDataDeveloper(AzureandDatabricks)
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“Senior Data Developer (Azure and Databricks) at CI&T. Skills: Data Engineering, Azure, Databricks, Python. Develop data pipelines. Maintain data pipelines”
Industry & Context.
Problem-solving; Investigate complex data; Understand root causes; Propose practical solutions; Troubleshooting
What They're Looking For.
Must Have
Experience with Databricks, Proficiency in PySpark, Python, and SQL, Experience with Delta Lake and Lakehouse architecture, Knowledge of Azure data ecosystem, Experience supporting financial data pipelines, Hands-on experience maintaining and improving existing pipelines, Ability to work with structured and semi-structured data, Problem-solving mindset, English proficiency
Nice to Have
Familiarity with AI frameworks, Experience with Databricks Workflows, Experience with Databricks Apps, Experience with Streamlit, Experience with data quality and observability practices
What You'll Do.
Develop data pipelines
Maintain data pipelines
Improve data pipelines
Integrate new data sources
Support financial reconciliation
Process large volumes of data
Optimize transformations
Optimize storage formats
Optimize query performance
Monitor existing pipelines
Troubleshoot existing pipelines
Support existing pipelines
Propose technical approaches
Implement technical approaches
Work with data engineers
Work with business stakeholders
Work with finance teams
Work with technology teams
Support data governance
Support validation rules
Support documentation
Support advanced data capabilities
How You'll Work.
Team & Collaboration
Cross-functional teams; Business stakeholders; Finance teams; Technology teams
Communication Scope
Technical discussions; Documentation
Full Job Description
## Description We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality. We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality. We are seeking a talented and experienced Senior Data Engineer to join our team and support a strategic partner in the evolution, maintenance, and continuous improvement of global financial closing processes. This role will focus on supporting financial data reconciliation, P&L routines, existing data pipelines, and the integration of new data sources. The professional will also contribute to building new pipelines, improving data quality and support initiatives involving AI models and advanced data capabilities. We are looking for someone hands-on, collaborative, and analytical, who enjoys solving complex data challenges and building reliable, scalable solutions that create real business impact. Responsibilities: Data Pipeline Development: Develop, maintain, and improve data pipelines using Databricks, PySpark, Python, and SQL to transform raw financial data into reliable curated datasets. Data Integration: Integrate new data sources into the existing data ecosystem, helping expand the platform’s capabilities and improve business visibility. Financial Data Reconciliation: Support financial reconciliation activities, P&L routines, and global closing processes by ensuring data consistency, accuracy, and traceability across different sources. Data Processing and Optimization: Process large volumes of structured and semi-structured data, optimizing transformations, storage formats, and query performance using Delta
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