- Your Challenge
- Build and maintain a truly complex self-service data trust platform that lets business users validate, govern and work with data without learning SQL or depending on more technical colleagues
Work on a well-established, complex product with a large enterprise customer base – improving and optimizing existing solutions rather than designing everything from scratch
Contribute to and own parts of our data quality and data processing components: scalable backend systems designed to perform under huge amounts of data, built on microservices, messaging systems and well-designed APIs
Collaborate closely with our product manager to turn user and customer problems into pragmatic, technically sound features
Own features end-to-end, from design to production deployment and operations – we expect software that is ready to deploy and run in cloud environments
Mentor teammates with empathy – supporting juniors and constructively challenging seniors through thoughtful code reviews and design conversations
Play a hands-on role in architectural decisions, balancing innovation with simplicity and taking part in decisions that shape how our product is developed
Make the platform agent-ready – expose our data quality and metadata capabilities to the built-in Ataccama AI Agent and to customers’ agents through APIs and MCP, and explore where LLMs can take over work that engineers and data stewards do by hand today
- Build AI-first: use AI coding agents as a normal part of how you design, write, test and review code, and help the team raise the bar on how we work with them
- You might be a great fit if you
- Are fluent in Java and curious or experienced with Kotlin
Enjoy deep backend work – you’ve moved beyond standard APIs and get excited by complex applications, data-intensive engines and platform-like architectures
Like solving problems and have a maker mindset – you see challenges as opportunities, jump in and find what works
Don’t mind doing some research when engines require complex algorithms and data structures to work efficiently
Can write and understand complex SQL queries and are comfortable working with relational databases at scale
Have experience building and operating distributed, scalable PaaS systems
Know your way around Kubernetes or are eager to learn it
Are skilled at using AI coding tools such as Claude Code or Codex as part of your daily development workflow – and have an opinion on where they help and where they don’t
Are curious about LLMs, agents and MCP and how to integrate them into a product safely and reliably (hands-on experience is a plus, not a must)
Enjoy being in contact with customers’ problems and are not afraid to take ownership of a whole competency
Write clean, well-designed, documented and testable code, and promote industry standards and best practices
- Want to work in a collaborative engineering culture where mentorship, feedback and shared ownership are the norm
- Bonus knowledge
- Experience (or interest) in any of the following areas: Problem Solving, Complex Algorithms, Software Architecture, Databases, Cloud Operations, Application Security / Identity Management, or building LLM-powered features
- Why join us?
- You’ll help shape a complex, valuable product at the core of the Ataccama ONE agentic data trust platform – recognized as a Leader in the Gartner® Magic Quadrant™ for Augmented Data Quality Solutions for the fifth consecutive time
You’ll work with sharp minds who care about code quality, design thinking and continuous learning
We balance autonomy with collaboration, giving you space to innovate and grow
Everyone in Ataccama is close to the customer – you can propose and drive changes to our product and see their impact
- Your work will make data trustworthy enough for AI agents to act on it – the foundation of the next wave of enterprise AI
- Tech we use
- Languages: Java, Kotlin
Frameworks & Tools: Spring Boot, Gradle, jOOQ, GraphQL, GitLab CI/CD
Storage & Infra: Kubernetes, ArgoCD, Helm, Postgres / Aurora, Elastic, S3 / Minio
Big data: Spark, Redshift, Snowflake
AI: LLM integrations and MCP in the product; Claude Code and Codex in our day-to-day development
Observability: Grafana stack + Prometheus
Cloud: AWS and Azure – managed services such as Aurora Serverless
