Data Engineering Tech Lead (Operational Data Store, with Kafka, AWS)

Aviva

Warszawa

Hybrid

PLN 300,000 - 420,000

Full time

2 days ago
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Benefits offered by this job

Performance Bonus
Private medical care
Cafeteria system (MultiSport)
Office in Warsaw – Gdański Business C.
Hybrid working model from Poland

Job summary

Aviva Services Excellence Centre in Warsaw seeks a Date Engineering Technical Lead to shape Aviva’s enterprise data foundations, building a cloud-native Operational Data Store (ODS) platform and leading a cross-functional engineering team.

You will own technical delivery, guiding developers to build scalable, event-driven data pipelines and microservices using Kafka (MSK), AWS Glue, ECS, and containerised applications (Spring Boot / Python).

Qualifications

  • 5+ years of relevant professional experience.
  • Kafka and event-driven architectures (MSK preferred).
  • SQL and data modelling.
  • Experience building scalable data ingestion, processing and movement solutions.
  • Ability to write and review code in Java, Python, or another modern programming language.
  • Solid understanding of Operational Data Stores (ODS), data modelling and transformation patterns, and integration patterns (API, event streaming, CDC).
  • Strong problem-solving, communication, and stakeholder management skills.
  • Experience working in large-scale transformation programmes.

Responsibilities

  • Lead and mentor a team of data and backend engineers.
  • Break down architecture into clear, implementable tasks and designs.
  • Review code, ensure quality, and drive engineering best practices.
  • Act as the go-to technical escalation point for the team.
  • Guide the development of Kafka/MSK-based streaming pipelines, containerised microservices (ECS, Spring Boot / Python).
  • Ensure delivery of scalable, resilient, and high-performing systems.
  • Drive CI/CD, testing, and observability standards.
  • Implement end-to-end ODS data flows and promote reusable ingestion/transformation patterns.

Skills

5+ years experience
Communication skills
Problem solving
Stakeholder management

Tools

Kafka/MSK
Java
Python
SQL
AWS
Spring Boot

Job 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 Date Engineering Technical Lead you will play a critical leadership role in shaping Aviva’s enterprise data foundations, ensuring data is engineered to be trusted, scalable and accessible across the organisation. The role is to lead a cross-functional engineering team in building a cloud-native Operational Data Store (ODS) platform.

You will take ownership of technical delivery, leading developers to build scalable, event-driven data pipelines and microservices using Kafka (MSK), AWS Glue, ECS, and containerised applications (Spring Boot / Python). This is a hands‑on lead role, focused on delivering high-quality engineering outcomes while embedding standards and best 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
  • Break down architecture into clear, implementable tasks and designs
  • Review code, ensure quality, and drive engineering best practices
  • Act as the go-to technical escalation point for the team
Delivery & Engineering

Guide the development of:

  • Kafka / MSK-based streaming pipelines
  • Containerised microservices (ECS, Spring Boot / Python)
  • Ensure delivery of scalable, resilient, and high-performing systems
  • Drive CI/CD, testing, and observability (logs/metrics) standards
ODS Platform Implementation
  • Implement end-to-end ODS data flows.
  • Apply event-driven and API-based integration patterns
  • Ensure alignment to canonical data models and schemas
  • Promote reusable patterns for ingestion, transformation, and publishing
  • Contribute to establishing the “golden path” for domain onboarding
What we’re looking for?
  • 5+ years of relevant professional experience
  • Kafka and event-driven architectures (MSK preferred)
  • SQL and data modelling
  • Experience building scalable data ingestion, processing and movement solutions
  • Ability to write and review code in Java, Python, or another modern programming language
  • Solid understanding of:
    • Operational Data Stores (ODS)
    • Data modelling and transformation patterns
    • Integration patterns (API, event streaming, CDC)
  • Strong problem-solving, communication, and stakeholder management skills
  • Experience working in large-scale transformation programmes
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

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.

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