Poland - Warsaw - ASEC
Open 3 months, first seen by us 108 days agoLead and mentor data and backend engineers on MDM/RDM delivery
Build Kafka/MSK event-driven pipelines for master data ingestion and distribution
Guide mastering and matching workflows such as survivorship and golden records
Develop AWS Glue PySpark jobs for data standardisation and enrichment
Embed data quality rules, validation and exception handling into pipelines
Lead and mentor a team of data and backend engineers aligned to MDM/RDM delivery
Kafka / MSK-based event-driven data pipelines for master data ingestion and distribution
Mastering and matching workflows (e.g., survivorship, deduplication, golden record creation)
AWS Glue ETL jobs (Python/PySpark) for data standardisation and enrichment
Embed data quality rules, validation frameworks, and exception handling into pipelines
Open 3 monthsWe first saw this posting 108 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 108
Up longer than most. Similar jobs usually come down between day 6 and day 56.
Well past Aviva’s usual: its jobs come down by about day 51.
From 13,745 similar postings that came down, and 15 of Aviva’s. Coming down is not always a hire.
14 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- 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:
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?
- 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)
- 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
- 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
- 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
- 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)
- 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
- 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
- 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
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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 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®!
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.
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Poland - Warsaw - ASEC
- 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
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