Backend Engineer (Java)

Ataccama is the agentic data trust company. Organizations worldwide rely on Ataccama ONE, the agentic data trust platform, to ensure data is accurate, accessible, and trusted for every decision and system. Powered by the ONE AI Agent, Ataccama ONE brings autonomy to data quality and governance, continuously monitoring, improving, and explaining the reliability of data across complex enterprise and multi-agent environments. At the core of the platform is Ataccama’s market-leading data quality, with modules built around it to unify data quality monitoring, catalog, lineage, observability, and reference data management, ensuring data is consistent and explainable. This quality-first foundation makes data the engine of trust, powering AI, analytics, and operations with confidence.

Recognized as a Leader in the 2026 Gartner Magic Quadrant for Augmented Data Quality and positioned furthest in Completeness of Vision, Ataccama continues to set the standard for enterprise-grade data trust.

Our people are located across the globe. They succeed by collaborating as a team and thrive in our company culture defined by these core values:

Challenging Fun

ONE Team

Customer Centric

Candid and Caring

Aim High

Ataccama ONE is an agentic data trust platform with data quality at its core. It combines data quality, observability, catalog, lineage, reference data and master data management in one product, so that some of the world’s largest enterprises can trust their data – and let AI agents act on it. Core is the group behind our well-established product suite – the foundation of Ataccama’s business today and the reason we have such a large, trusting enterprise customer base – and this role sits on the backend of its Data Quality team.

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

• 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
• 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

• 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
• Long-Term Incentive Program
• 2 sick days and 25 days of vacation, with the option to request additional Flexible Time-Off days when needed
• The Global Family Support Program - a paid leave program to help all parents focus on the new addition to their family
• Flexible working hours & hybrid work setup
• Benefit Plus - flexible employee benefit platform (incl. Multisport card)
• Annual package for mental health support
• "Bring Your Friend" referral program
• Shared company cards for free entrance to Prague Zoo & Botanical garden
• Company bikes, longboards, e-scooters
• Conference tickets to the best industry events of the year
• Online courses & company access to Udemy to hone your skills
• Access to paid AI tools
• Company library, where you can even suggest the best educational books for us to order
• Kitchens stocked with fresh fruit and juice, teas, and the best coffee

Work Equipment

• Company laptop
• Company mobile phone + SIM card & package of mobile data

At Ataccama, our core values are Candid & Caring, so we are upfront about our process and details that are important to you. We sometimes use AI tools to help us with things like reviewing applications, taking notes from screening conversations, scheduling interviews, or supporting assessments. These tools make the process smoother and fairer — but don’t worry, they never make the final decision. Every hiring decision is made by our Talent Acquisition Partners and Hiring Managers, with AI only acting as a helpful assistant. We believe technology should support the process, not replace the human touch.

We currently use AI-assisted tools - Metaview for interview notes and Lever Talent Fit to help highlight key experience. If you have any questions or concerns, feel free to reach out to us at jobs@ataccama.com, making reference to AI Act Inquiry in the subject line.

While we highly value cooperation with all our business partners, we don’t accept unsolicited resumes from any sources other than directly from a candidate. We reserve the right not to pay any fee for sending an unsolicited offer containing the details or resume of a job candidate, even if the relevant candidate is employed by our company.