Senior Data Platform Engineer with CDC

Intellias Show all offers

Kraków

Expires Nov 17, 2026

6 days ago

In short

Senior Data Platform Engineer at Intellias to design and build a next-gen Data Platform. Responsibilities include developing data services using PostgreSQL, Kafka, CDC, and DataHub, creating GitOps workflows, and building internal tools. Requires strong backend/platform experience, distributed systems knowledge, and proficiency with PostgreSQL, Kafka, and Kubernetes.

Keywords

data platform backend engineering distributed systems event-driven architecture PostgreSQL Kafka CDC Kubernetes GitOps data governance

AI-written summary based on the listing content.

At Intellias, we create technology that powers global businesses. Join a team that is building the standard way data is shared across products, analytics, and AI/ML platforms, making data discoverable, governed, and reusable at scale.

What you'll do

Design and build a next-generation Data Platform used by engineering teams across the organization.
Develop data publishing and consumption services based on PostgreSQL, Debezium CDC, Kafka, and DataHub.
Create GitOps-driven workflows for data contracts, schema governance, ownership, and lifecycle management.
Build internal tools and automation that improve developer experience and enable self-service data products.
Collaborate with Product, Platform, Data Engineering, Analytics, and AI/ML teams to define and implement data standards.
Drive platform reliability, observability, lineage, and governance practices.

What we're looking for

✅ Strong software engineering experience in backend, platform, infrastructure, or data-intensive environments

✅ Solid understanding of distributed systems, event-driven architectures, and scalability challenges

✅ Hands-on experience with:

PostgreSQL or other relational databases
Kafka, CDC, Debezium, or similar streaming technologies
Kubernetes and cloud-native environments

✅ Experience building platforms, internal tooling, automation, CI/CD pipelines, or developer-facing services

✅ Ability to work through ambiguity, make architectural decisions, and deliver production-ready solutions

✅ Strong English communication skills

Nice to have

DataHub or other data catalog / governance platforms
Apache Iceberg, data lakes, BigQuery, ClickHouse, or similar analytical platforms
Data contracts, schema registries, Protobuf, Avro, JSON Schema
Infrastructure as Code, GitHub Actions, operators, controllers
Experience supporting Analytics, AI/ML, or feature-store ecosystems
Knowledge of Python, Go, TypeScript, JVM languages, or Ruby

Why join?

🚀 Shape a platform from the ground up rather than maintain existing pipelines

📊 Influence how data products are published, governed, and consumed across the organization

🤝 Collaborate with engineering, analytics, infrastructure, and AI teams

🌍 Join a global technology company with 3,000+ professionals delivering impactful digital solutions

Interested? Let's build the future of governed data sharing together.