Strategio is seeking a Senior Data Engineer to join a globally recognized Banking Data Platform project. This role is pivotal in shaping the next-generation cloud-based data infrastructure. You’ll design, build, and optimize data pipelines, implement governance and automation standards, and enable AI-powered analytics that fuel business decisions at scale. This is your chance to apply your advanced technical chops in SQL, Python, and cloud-native technologies in a collaborative and high-impact environment. If you’re a data craftsman ready to level up infrastructure and analytics pipelines, this is for you.

About You:

You are a proactive, detail-obsessed Data Engineer with a builder’s mindset and a love for complex systems. You have a natural curiosity, deep technical rigor, and the humility to collaborate with cross-functional teams. You communicate clearly, design elegantly, and optimize relentlessly.

As a Strategio Senior Data Engineer, you will:

• Design and deploy cloud-based data pipelines and infrastructure to support enterprise data needs
• Translate raw data into well-modeled datasets for dashboards, analytics, and AI use cases
• Champion data quality, governance, and access controls across multiple environments
• Implement and maintain CI/CD workflows to support seamless data operations
• Collaborate with engineers, analysts, and product stakeholders to drive data-driven solutions
• Contribute to dashboard development and reporting tools for internal teams
• Support innovative AI initiatives by enabling clean, accessible, and scalable data

Core Skills

• Advanced English is a must.
• Advanced proficiency in SQL: optimization, modeling, and complex querying
• Professional fluency in Python, especially for data tasks (pandas, pyspark, pyarrow, numpy)
• Hands-on experience with cloud-based data platforms, ideally Databricks, or Snowflake/Redshift
• Familiarity with CI/CD tools like GitHub Actions, Jenkins, or similar
• Working knowledge of AWS or Azure, including permissions, serverless tools (Lambda), and storage solutions
• A track record of building well-governed, scalable data pipelines and workflows
• Strong communication and teamwork skills.

Nice-to-Haves:

• Experience using DBT for transformation and modeling
• BI/reporting tool proficiency: Power BI, QuickSight, or Sigma
• API integration and development for data services
• Understanding of agentic workflows and applied AI systems
• Exposure to container orchestration (Docker, Kubernetes) and real-time processing (Kafka, Spark Streaming)
• Familiarity with ML workflow tooling (Kubeflow, MLflow) and data storytelling techniques

Your job search ends here.

If you’re ready to launch your tech career with meaning and momentum, apply to become a Strategio Finance Data Analyst.

Advanced English is Must

Degree Requirements: Degree related to STEM (Science, Technology, Engineering, and Mathematics) OR Business with focus on Analytics.