Data Product Engineer Specialist

Job description
Design, build, and iterate on data product features that solve business problems to Deliver high-quality, scalable data products that meet user needs and enhance business performance.

Duties & Responsibilities

Key accountabilities

• Data Modelling and Development: Creating and maintaining the business-domain aligned data model for the Functional Data Layer that forms the basis for the Group Compliance Data Lake aligned with standards and reference models.
• Data product design and prototyping: Design, prototyping and development of data products and solution that address specific business challenges and use cases.
• Feature development and enhancement: Building cross-functional features that empower multiple data product users with functionality and capabilities that improve business performance
• Data Product lifecycle management: Performing regular reviews on data product adoption and business impact and proposing enhancement, adoption or deprecation based on business value.
• Integration with data platforms: Ensuring maximum leverage of group-wide data platform technologies and infrastructure

Desired Experience & Qualification

Knowledge and Skills

• HIVE / Trino
• Python / FastAPI
• Golang
• Spark
• Angular
• Denodo VQL
• Postgres / PostGIS
• Kafka / Strimsi
• Redis
• MinIO
• REST + GraphQL
• AWS or Azure
• Banking / Compliance domain expertise (AML/FinCrime preferred)

Technical Competencies

• Intermediate Understanding of risk management and data governance principles
• Advanced Data Architecture Demonstrated application of data architecture practices including modelling, integration and security
• Advanced Data Modelling Proficiency in understanding industry reference models, common modelling standards and annotations with proven application and adaptation to local company context
• Intermediate Data Management: Demonstrated experience in creating, managing, and optimizing data products -like analytics dashboards, datasets, data intensive applications or machine learning models which deliver business value
• Advanced Data Integration: Full stack integration of data and system components for orchestration and observability in data intensive application stack

Behavioural and Cognitive Competencies

• Advanced Problem Solving Ability to generate creative solutions for complex data challenges and prototype data products that deliver measurable business value
• Advanced Systems / Design thinking. Understand and manage the interconnections between data products, platforms, and business processes. Break down complex problems into smaller, manageable components and identify patterns, relationships, and root cause

Technical Literacy

• An advanced grasp of data architecture principles, modeling techniques, and integration patterns
• Ability to work effectively with cross-functional teams and influence stakeholders to adopt data-driven solutions without direct authority

Desired Skills:

• Intermediate Understanding of risk management and data governance principles
• Advanced Data Modelling Proficiency i
• Intermediate Data Management:
• Advanced Data Integration: Full stack integration

Desired Work Experience:

• More than 10 years