Data Engineering Tech Lead (ODS)

Aviva; Warszawa; Hybrid; PLN 240,000 - 320,000; Full time

Benefits offered by this job

Performance Bonus

Private medical care (ENEL-MED)

Cafeteria system of benefits (e.g. My)

Employee Shares Plan

Extra day off for birthday

Paid time off to volunteer

Wellbeing Leave

Hybrid working model

Office: Warsaw - Gdański Business Ctr

Job summary

Aviva Services Excellence Centre in Warsaw is looking for a Date Engineering Technical Lead to shape Aviva's enterprise data foundations and lead a cross-functional team. You will build a cloud-native ODS platform, deliver event-driven pipelines, and mentor engineers to ensure quality and best practices.

You will guide development of Kafka/MSK pipelines and containerised microservices, driving delivery, CI/CD, testing, and observability across the stack.

Qualifications

• 5+ years of data engineering and platform delivery experience.
• Experience with Kafka/MSK and event-driven architectures.
• Proficiency in Java (Spring Boot) and/or Python.
• Experience building scalable data pipelines and microservices.
• Strong knowledge of ODS, data modelling and transformation patterns.
• Leadership experience guiding data/backend engineers.
• Strategic mindset with strong communication and planning skills.

Responsibilities

• Lead and mentor a team of data and backend engineers.
• Break down architecture into implementable tasks and designs.
• Review code and drive engineering best practices.
• Act as go-to technical escalation point for the team.
• Guide development of Kafka/MSK based pipelines and containerised microservices.
• Ensure scalable, resilient, and high-performing systems.
• Drive CI/CD, testing, and observability standards.
• Implement end-to-end ODS data flows and integration patterns.
• Align to canonical data models and promote reusable patterns.

Skills

Data engineering

Kafka/MSK

Java (Spring Boot)

Python

Scalable data pipelines

Microservices

ODS concepts

Data modelling

API/event integration

Technical leadership

Tools

Kafka (MSK)

AWS Glue

ECS

Spring Boot

Python

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?

• Strong experience in data engineering and platform delivery (5+ years)


• Kafka / event-driven architectures (MSK preferred)


• Java (Spring Boot) and/or Python


• Experience building scalable data pipelines and microservices


• Solid understanding of:


• Operational Data Stores (ODS)


• Data modelling and transformation patterns


• Integration patterns (API, event streaming, CDC)


• Hands‑on experience leading developers and driving delivery


• Demonstrated ability to lead and mentor a team of data and backend engineers


• Strategic mindset with strong problem‑solving, communication and planning skills, alongside experience working in complex, 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 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!