(RD) Senior Data Engineer

You will join our R&D Product Enablement team, responsible for central information resources across the entire Backbase ecosystem and the data foundations required to support internal AI use cases. In this role, you will design, develop, and maintain data pipelines and infrastructure to ensure that data is accessible, reliable, and actionable across our platform. Your expertise in data engineering will be crucial in enabling advanced analytics, AI, and ML workloads while ensuring compliance and security standards are met.

As a Senior Data Engineer, you will be responsible for designing and implementing data architectures, ensuring smooth data integration from various sources, and developing a scalable and secure data platform that enables insights and AI-driven applications. Your work will support multiple product teams and stakeholders, including documentation, demo environments, and AI-driven knowledge management solutions.

Your responsibilities include:

• Data Infrastructure & Pipelines: Develop and maintain data pipelines that extract, transform, and load (ETL/ELT) data from multiple sources, including RDBMS, Change Data Capture (CDC), and streaming endpoints.
• Data Lakehouse Architecture: Implement Data Lakehouse concepts using Azure Synapse, Spark, and Delta Lake to ensure efficient and scalable data storage and processing.
• Data Security & Compliance: Design and enforce data security policies, ensuring compliance with industry standards and regulatory requirements for handling sensitive financial data.
• AI & Machine Learning Readiness: Structure and optimize data models to support AI/ML workloads and enable AI-driven automation across Backbase’s information resources.
• Observability & Data Governance: Ensure data consistency, quality, and governance from ingestion to consumption across internal reporting, analytics, and AI-driven applications.
• Collaboration & Enablement: Work closely with technical writers, AI engineers, and product teams to provide data-driven insights and ensure structured, well-managed data assets power Backbase’s knowledge platforms.
• Best Practices & Continuous Improvement: Contribute to guild initiatives, improve internal data processes, and mentor junior engineers.

You have a strong technical foundation in data engineering, a passion for data-driven insights, and an understanding of how to build scalable and secure data solutions that enable AI-powered automation and knowledge management.

Must-Have Qualifications:

• 5+ years of experience in data engineering, preferably in a Data Lakehouse environment using Azure Synapse, Spark, or DataBricks.
• Expertise in ETL/ELT pipeline development, data modeling, and data integration techniques.
• Strong understanding of data security, governance, and compliance standards.

Experience working with APIs, streaming data, and structured/unstructured datasets.

• Proficiency in Python, SQL, and data pipeline orchestration tools.
• Familiarity with CI/CD practices for data engineering, using tools like GitHub Actions and Jenkins.
• Knowledge of AI/ML data needs and experience supporting AI-driven applications with structured data.
• Ability to communicate effectively and collaborate with cross-functional teams, including non-technical stakeholders.
• Strong problem-solving skills and a proactive, solution-oriented mindset.

Nice-to-Have Qualifications:

• Experience with data observability tools to monitor data quality and lineage.
• Knowledge of graph databases and knowledge graphs for AI-driven search and discovery.
• Exposure to QA/testing frameworks for data validation and integrity.

Why Join Us?

• Work on high-impact data initiatives that power Backbase’s internal AI and knowledge platforms.
• Collaborate across teams, enabling product engineers, AI specialists, and documentation experts with structured, actionable data.
• Innovate in the AI space, helping build the foundations for machine learning-driven insights in the financial sector.
• Be part of a Product Enablement team that ensures our internal tools, documentation, and demo environments are powered by reliable, high-quality data.

If you’re passionate about data, AI, and building scalable data platforms, we’d love to hear from you!