Hiring.Camp

Data Engineering Tech Lead (MDM)

Aviva the most attractive choice

·

Today

Location
Poland - Warsaw - ASEC
Department
Engineering
Seniority
Lead
Source
Workday

Description

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 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

  • 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! 

 

To find out more about current job offers at Aviva take a look here.

Skills

PythonJavaSpring BootAWSCI/CDData EngineeringETLMicroservicesCompliance

Similar Jobs

30

Data Engineering Tech Lead (ODS)

Aviva the most attractive choice · Poland - Warsaw - ASEC

Today

Data Engineering Tech Lead B2B (H/F)

Edenpeople · France - Issy les Moulineaux - E-Quarter · Remote

5 months ago

Data Engineering Tech Lead

Lingaro · Poland · Remote

8 months ago

Tech Manager, Data Engineering - AI and Support

Macy's Jobs · Johns Creek, GA, United States, US

1 week ago

Tech Lead Data Engineering GCP/SQL (H/F)

ALTEN · Lyon, Auvergne-Rhône-Alpes, France · Hybrid

1 week ago

Tech Advisory, Data Engineering Manager

Crowe Careers · Chicago, United States of America +11

1 month ago

Tech Lead Data Engineering

Encora · Mexico

1 month ago

Tech Lead, Data Engineering

Coatesgroup · Chicago, IL · Hybrid

1 month ago

Tech Lead - Data Engineering - Tampa

Photon Group · United States, US

1+ year ago

Tech Lead - Data Engineering - Irving

Photon Group · United States, US

1+ year ago

Tech Lead - Data Engineering

Quess · Noida, Uttar Pradesh, India

1+ year ago

Interested in future Tech positions? (Engineering, IT, Data, Product, Design)

Weedmaps77 · Irvine, CA (HQ), Austin, TX, Remote · Remote

1+ year ago

Tech Lead - Data, Integrations & AI Engineering (w/m/d)

enua Pharma GmbH · Deutschland · Onsite

2 months ago

Tech Lead - Data, Integrations & AI Engineering (w/m/d)

enua Pharma GmbH · Deutschland · Onsite

2 months ago

Principal Tech Lead Manager - Data Platform & Reliability Engineering

Idme · Mountain View, California, United States · Remote, Onsite

2 weeks ago

Director, Data Engineering – Technical Lead

Msd · CZE - Central Bohemian - Prague (Five), Czechia

1 week ago

AVP, Infrastructure & Engineering, Technology Data Management

Td · 310/320 Front Street West Corporate, Toronto, Ontario, Canada · Onsite

1 week ago

Technical Data Engineering for GOV A/C (H/F)

Airbus · Marignane, France

1 month ago

Data Engineering Technical Lead

Hillenbrand · No:6, Mettupalayam Road, Kavundampalayam, Coimbatore, Tamil Nadu – 641030, India +1 · Remote

1 month ago

Data Engineering Technical Lead - VP

Careers Home · San Diego HQ 4350, United States of America · Remote

2 months ago

Data Engineering Technical Lead

Vanguard · GBR - Manchester, United Kingdom

2 months ago

Data Engineering Technical Lead

Vanguard · GBR - Manchester, United Kingdom

2 months ago

Senior Engineering Technician - Data Center Construction

Schnabel Engineering · Owings Mills, MD

2 months ago

Data Engineering - Technical Lead

Paytm · Noida, Uttar Pradesh +1 · Onsite

6 months ago

Data Engineer – Corporate Technology Data Engineering & Analytics

Massmutual · Boston - 10 Fan Pier Blvd, United States of America +2 · Hybrid

8 months ago

Data Centre Critical Facilities Technician, Data Centre Engineering Operations (DCEO)

Amazon

Today

Technical Lead - Data Engineering

AIA Careers · Melbourne: 509 St Kilda Rd, Australia +1

6 days ago

Data Center Engineering Technician, DCEO

Amazon

1 week ago

Engineering Operations Technician, Data Center Engineering Operations (DCEO)

Amazon

1 week ago

Engineering Operations Technician, Data Center Engineering Operations (DCEO)

Amazon

1 week ago