Data Engineering Tech Lead (MDM)
LocationPoland - Warsaw - ASEC
Work modehybrid
Typefull-time
SeniorityLead
Experience5+ yrs
DepartmentEngineering
EquityIncluded
Company size10,000+ people
PostedSep 28, 2026 · 2w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
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
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)
Strong understanding of data modelling (canonical models, 3NF, domain-driven design)
Strong understanding of data quality, data governance, and stewardship models
Strong understanding of 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
AWS experience preferred (S3, ECS, Glue, Aurora/Postgres), though strong MDM candidates with experience on other cloud platforms will also be considered
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)
Skills
Kafka
AWS
MSK
Spring Boot
Python
Reltio
Informatica MDM
Profisee
SAP MDM
S3
ECS
Glue
Aurora/Postgres
Java
PySpark
Collibra
Avro/Schema Registry
Erwin
Benefits
Performance bonus
Private medical care
Multi sport card
Parental leave
Group insurance
Employee stock plan
Extra day off for birthday
Volunteer time off
Additional leave
Wellbeing leave
Psychological support
E learning platforms
Employee referral program
Hybrid working
Hi, we’re glad you’re here! We are hiring to our Aviva Services Excellence Centre! Take a look at our job description - maybe it suits you or one of your friends?
About the role
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
This role is responsible for leading the engineering and delivery of a cloud-native Master & Reference Data platform (MDM/RDM), enabling consistent, high-quality data across core business domains such as Customer, Product, Supplier and other master entities across Aviva.
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). This is a hands-on leadership role focused on delivering high-quality engineering outcomes while embedding strong governance, data quality, and standardisation practices.
What will you be doing?
You will be responsible for:
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
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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:
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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)
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Ensure delivery of scalable, resilient, and high-performing master data systems
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Drive observability, data quality monitoring, and lineage tracking
Master & Reference Data Implementation
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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
What we’re looking for?
We are searching for an experienced lead or a senior engineer ready to step into a leadership role, with:
•
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)
In Aviva Services Excellence Centre, we provide:
•
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
Do you see yourself in Aviva Services Excellence Centre? Be sure to apply!
Aviva is for everyone!
We’ve been ranked the #1 Best Workplace in Poland for a second year in a row and a top choice for Millennials by Great Place to Work®!
Legal
As a signatory to the Diversity Charter, Aviva applies a policy of equal treatment and creates a work environment that is friendly to people with disabilities. We do not require from candidates the date of birth, marital status and attached photos to your CV. We encourage all individuals regardless of gender to apply.
Most of our people are smart working – spending also time in our office - combining the benefits of flexibility, with time together with colleagues.
We’re inclusive - we welcome applications from people with diverse backgrounds and experiences.
Excited but not sure you tick every box? Research tells us that women, particularly, feel this way. So, regardless of gender, why not apply and try!
To find out more about current job offers at Aviva take a look here.