Data Engineering Technical Lead

As a Data Engineering Technical Lead, you will play a critical leadership role in shaping Aviva's enterprise data foundations, ensuring master and reference data is trusted, governed, scalable, and reusable across the organisation.

You will lead a cross-functional engineering team to build scalable, event-driven data pipelines, mastering workflows, and API-driven data services using Kafka (MSK), AWS services, and containerised microservices (Spring Boot / Python).

Technical Leadership & Team Guidance

• Lead and mentor a team of data and backend engineers aligned to MDM/RDM delivery
• Translate enterprise data architecture and domain models into implementable designs
• Drive engineering best practices including coding standards, CI/CD, and quality assurance
• Act as the primary technical escalation point for MDM platform delivery

MDM/RDM Platform Engineering & Delivery

• Guide the development of:
• Mastering and matching workflows (e.g., survivorship, deduplication, golden record creation)
• Kafka / MSK-based event-driven data pipelines for master data ingestion and distribution
• AWS Glue ETL jobs (Python/PySpark) for data standardisation and enrichment
• Containerised microservices for master data services (ECS, Spring Boot / Python)
• Ensure delivery of scalable, resilient, and high-performing master data systems
• Drive observability, data quality monitoring, and lineage tracking

Master & Reference Data Implementation

• Implement end-to-end master data lifecycle flows (ingest → standardise → match → publish)
• Apply event-driven and API-based integration patterns for data synchronisation
• Ensure alignment to enterprise canonical data models and ACORD/industry standards where applicable
• Enforce config-driven / metadata-driven processing (e.g., YAML-based mappings and rules)
• Promote reusable ingestion, matching, and publishing patterns across domains
• Contribute to establishing the “golden path” for domain onboarding into MDM
• Work closely with governance tools (e.g., Collibra) to ensure metadata, lineage, and quality visibility

Data Governance, Quality & Standards

• Embed data quality rules, validation frameworks, and exception handling into pipelines
• Define and enforce data stewardship workflows and ownership models
• Support implementation of reference data management (hierarchies, code sets, taxonomies)
• Ensure auditability, traceability, and compliance across master data processes

Requirements

• 5+ years of relevant professional experience
• Hands-on experience with Reltio (preferred), Informatica MDM, Profisee, SAP MDM, or similar MDM platforms
• Experience with Kafka or other event-driven architectures
• AWS experience preferred (S3, ECS, Glue, Aurora/Postgres), though strong MDM candidates with experience on other cloud platforms will also be considered
• Ability to write and review code in Java, Python, or another modern programming language
• Strong understanding of:
• Master Data Management concepts (golden record, survivorship, hierarchy management)
• Data modelling (canonical models, 3NF, domain-driven design)
• Data quality, data governance, and stewardship models
• Integration patterns (API, event streaming, CDC)
• Experience building scalable, domain-oriented data platforms
• Ability to define reusable frameworks and “factory model” onboarding patterns
• Strong problem-solving, communication, and stakeholder management skills
• Experience working in large-scale transformation programmes

Nice to Have:

• Experience with insurance data domains (Customer, Policy, Risk, Product, Supplier)
• Knowledge of ACORD data standards
• Experience with metadata/catalogue tools (e.g., Collibra) and data modelling tools (e.g., Erwin)
• Familiarity with config-driven architectures and schema-driven processing (Avro/Schema Registry)

Benefits:

• Contract of employment
• Performance Bonus
• Private medical care (ENEL-MED)
• Cafeteria system of benefits (e.g. MultiSport card)
• Additional parent privileges: - baby leave – 6 weeks leave for second parent - shortened working time after parental leave
• Employer-funded group insurance
• Employee Shares Plan
• Extra day off for birthday
• Paid time off to volunteer
• Additional leave acquired over the years in the company (even 5 days more in a year)
• Wellbeing Leave - additional two weeks paid leave after 10 years of service
• Psychological support consultations
• Access to the e-learning platforms
• Internal employee referral program
• Hybrid working model from Poland with a few days in Warsaw office per month
• Attractive office location in Warsaw - Gdański Business Center
• Additional entitlements for people with disabilities - Work Without Barriers
• Work environment that promotes diversity - Diversity Charter