(Senior) Data Engineer (Kafka)
Summary
Build and maintain scalable, event-driven data pipelines in AWS using Kafka (MSK), AWS Glue, Python and PySpark to power Aviva’s enterprise Operational Data Store and ensure trusted business data.
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 (Senior) Data Engineer you will be responsible for designing, building and supporting scalable data ingestion and transformation pipelines that power the enterprise Operational Data Store (ODS). You will work within a cloud-native AWS environment, developing event-driven data solutions using Kafka (MSK), AWS Glue and Python-based engineering services. You will collaborate closely with Technical Leads, Solution Architects, API Engineers and Domain Teams to onboard new data domains into the ODS platform using reusable, metadata-driven patterns and enterprise data standards. This role focuses on delivering high-quality, reliable and scalable data pipelines that enable trusted business data across the organisation.
What will you be doing?
- Building and maintaining scalable data pipelines using Kafka/MSK, AWS Glue, Python and PySpark.
- Designing and implementing ingestion, transformation, validation and publishing processes.
- Delivering end-to-end Operational Data Store (ODS) data flows integrating APIs, event streams and batch sources.
- Developing reusable frameworks, metadata-driven solutions and onboarding patterns across business domains.
- Ensuring data quality, integrity, traceability and adherence to enterprise data models and standards.
- Writing clean, testable and maintainable code while participating in code reviews and technical discussions.
- Supporting CI/CD pipelines, monitoring, logging and operational excellence initiatives.
- Identifying opportunities to improve platform performance, scalability and reliability.
- Collaborating with Product Owners, Architects, Domain SMEs and engineering teams to deliver business outcomes.
- Contributing to technical documentation, design artefacts and domain onboarding activities.
What we’re looking for?
- Essential Strong experience in Data Engineering (Senior over 5 years, regular over 3 years).
- Experience with Kafka or event-driven architectures.
- Hands-on experience with AWS services including: AWS Glue, S3, ECS, MSK , Aurora/PostgreSQL.
- Strong Python development skills.
- Experience building ETL/ELT pipelines.
- Good understanding of data modelling concepts.
- Experience working with JSON, Avro and schema-based integrations.
- Familiarity with CI/CD and DevOps practices.
- Knowledge of data quality and data validation techniques.
Desirable
- Experience with Apache Kafka/MSK.
- Experience with CDC technologies such as Debezium.
- Knowledge of metadata-driven data platforms.
- Experience working within Financial Services or Insurance organisations.
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 volunteerAdditional 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
We do not require from candidates the date of birth, marital status and attached photos to your CV.