Staff Data Platform Engineer (Python, Spark, Databricks)

• Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across
• *cloud, data, software engineering, and artificial intelligence**

. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.*

• Following the acquisition of
• *Tooploox**

, a premier AI and product development company, Solvd now offers true

• *end-to-end delivery**

—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.*

We are looking for a

• *Staff Data Platform Engineer (Python, Spark, Databricks)**

to join our team.

• *Project Description**

The project consists of building a scalable backend platform that runs data-driven analytical models in a controlled, automated, and auditable way. The backend must orchestrate model execution, enforce data validation, manage metadata and artefacts, and ensure full traceability of every processing step. The architecture is modular and cloud-oriented, with a strong focus on automation, versioning, and operational reliability.

• *What You'll Do
• Build, maintain, and optimize data ingestion pipelines using Python, pandas, Spark, and Databricks
• Parse and transform complex Excel-based financial models into structured Delta Lake tables
• Implement data processing workflows and calculation logic in Python
• Develop and manage pipelines using Databricks Jobs, clusters, and SQL Warehouse
• Improve performance, scalability, and reliability of existing data pipelines
• Write clean, maintainable, and production-quality Python code
• Use SQL for data validation, transformation, and pipeline integration
• *What You Bring
• Senior-level engineer with 5–8+ years of experience
• Strong Python skills, with proven experience building production data pipelines
• Hands-on experience with pandas for data transformation and ingestion
• Experience working with Spark (PySpark or Scala) and Databricks
• Solid SQL skills and experience writing complex queries
• Experience designing, implementing, and maintaining data processing pipelines
• Experience working with medium to large datasets
• Strong ownership and ability to work hands-on in a data platform environment
• English fluency for daily communication with actuarial and engineering teams.
• *Nice to have
• Experience optimizing Python or Spark workloads for performance and scalability
• Experience working with Delta Lake
• Experience ingesting and transforming large Excel-based datasets
• Experience working with financial or structured modeling data
• *When you join Solvd, you'll…
• Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
• Be part of a global team with equal opportunities for collaboration across continents and cultures.
• Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
• *Ready to make an impact?**

If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.