Data Engineering Tech Lead (MDM)

Aviva plc; Warszawa; On-site; PLN 300,000 - 380,000; Full time

Benefits offered by this job

Performance Bonus

Private medical care

Cafeteria benefits

Employee Shares Plan

Birthday and volunteering leave

Wellbeing Leave

E-learning platforms

Internal referral program

Hybrid working model

Job summary

Aviva plc is seeking a Data Engineering Tech Lead to shape and deliver a cloud-native Master & Reference Data platform (MDM/RDM). You will lead a cross-functional team building Kafka-based pipelines, using AWS services and containerised microservices, while embedding governance and data quality across domains like Customer, Product, and Supplier.

The role requires hands-on leadership in engineering excellence, architectural design, and scalable delivery, with a focus on survivorship, matching,

Qualifications

• 5+ years of engineering with MDM/Reference Data focus.
• Experience with Kafka-based event-driven architectures (MSK).
• Proficiency with AWS data stack (Glue, S3, ECS, Aurora/Postgres).
• Java (Spring Boot) and/or Python expertise.
• Experience leading engineers and driving platform delivery.

Responsibilities

• Lead and mentor data and backend engineers for MDM/RDM delivery.
• Translate domain models into implementable designs and enforce best practices.
• Develop and operate event-driven data pipelines and microservices.
• Ensure data quality, lineage, and governance across master data systems.
• Collaborate with governance tools to maintain metadata and standards.

Skills

MDM/RDM

Kafka (MSK)

AWS data stack

Java (Spring Boot)

Python

Data governance

Team leadership

Education

BS/MS in Computer Science

Tools

Collibra

Erwin

Apache Airflow

Schema Registry

Job description

## Data Engineering Tech Lead (MDM)Applylocations: Poland - Warsaw - ASECposted on: Posted Todayjob requisition id: R-171384**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?**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 organisationThis 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* 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**What we’re looking for?**We are searching for an experienced engineer (5+ years) with a proven expertise in:* Master Data Management (MDM) and/or Reference Data platforms (e.g., Reltio or any modern MDM platforms)* Kafka / event-driven architectures (MSK preferred)* AWS data stack (Glue, S3, ECS, Aurora/Postgres)* Java (Spring Boot) and/or Python* 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)* Hands-on experience leading engineers and driving platform delivery* 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 and #5 for Women by Great Place to Work! Join a place where you’re empowered to grow, thrive, and shine bright!**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!