Sciensa
51 - 200 employees
Founded 2010
đź Consulting
đŁ Marketing
đŚ Logistics
Consulting ⢠Marketing ⢠Logistics
Sciensa is an InfraTech company that designs, builds and operates scalable, secure digital infrastructure and AI-driven products for the financial sector. It provides data and generative AI solutions, API integrations (including Databricks), cloud and cybersecurity services, Salesforce platform implementations, and custom development to help banks, digital banks and fintechs accelerate product delivery, governance and customer journeys. Sciensa also offers talent and consulting services and industry-specific accelerators for finance.
Principal Data Engineer
đĽ 2 minutes ago
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Sciensa
51 - 200 employees
Founded 2010
đź Consulting
đŁ Marketing
đŚ Logistics
Consulting ⢠Marketing ⢠Logistics
Sciensa is an InfraTech company that designs, builds and operates scalable, secure digital infrastructure and AI-driven products for the financial sector. It provides data and generative AI solutions, API integrations (including Databricks), cloud and cybersecurity services, Salesforce platform implementations, and custom development to help banks, digital banks and fintechs accelerate product delivery, governance and customer journeys. Sciensa also offers talent and consulting services and industry-specific accelerators for finance.
đ Description
⢠Develop data ingestion and processing pipelines. ⢠Build Lakehouse architecture. ⢠Implement catalog, lineage and observability. ⢠Ensure data quality, availability and security. ⢠Define data engineering standards for the program.
đŻ Requirements
⢠Strong experience in Data Engineering. ⢠Proficiency with Databricks, SQL and data pipelines. ⢠Knowledge of Data Quality, Data Lineage and Data Catalog. ⢠Experience with scalable architectures. ⢠Good communication skills. ⢠Systemic (holistic) thinking. ⢠Collaborative technical leadership. ⢠Mentoring ability. ⢠Pragmatic approach. ⢠Comfortable working with multiple teams and different technology contexts. ⢠Nice-to-haves: Kafka and Streaming; Delta Lake; Event-Driven architectures; experience with sensitive data and compliance.
đď¸ Benefits
⢠High technical complexity environment ⢠Opportunity for technical growth ⢠Culture of engineering best practices ⢠Collaborative, results-oriented teams ⢠Environment that balances autonomy and governance ⢠Real and meaningful technical challenges ⢠Room to influence architecture and technical decisions ⢠Close collaboration with the business, with direct impact on deliveries ⢠Equipment provided by Sciensa, according to area/project needs
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