PWe are in Business for People, empowering people in service organizations with innovative Enterprise and Business software solutions. We’ve innovated and taken a new approach to delivering ERP that works for people. Self-driving, adaptive and intuitive software that is changing the way people work. Our solutions empower people and deliver a better people experience so people can spend time on meaningful high value work they live for.br/ppRead more on our website about how we transform work and how people feel about it, so our customers and their people can thrive.br/pbJob Descriptionbr/bpWe are seeking a forward-thinking bData Engineer /b to join our AI research team for ERP. This role is pivotal in designing and implementing the data foundation that enables intelligent agents, real-time and adaptive enterprise systems.br/ppYou will work at the intersection of data architecture, semantic modeling, and AI integration enabling innovation across AI, analytics, and enterprise automation.br/ppYour primary responsibility will be AI research that supports intelligent automation and orchestration within enterprise systems. Additionally, your expertise will play a vital role in advancing current and future data engineering initiatives across multiple teams and projects at Unit4.br/pbQualificationsbr/bpbKey Responsibilities:br/b /ppbData Architecture Engineeringbr/b /pulliDesign and implement scalable data lakehouse architectures using Delta Lake and Databricks. /liliSupport and contribute to the evolution of the Unit4’s data platform and related initiatives. /liliDefine and enforce data lifecycle management, data contracts, and metadata standards. /liliDesign and develop real-time data pipelines and streaming architectures using Kafka, Spark Streaming, or Flink. /liliEnsure data quality, lineage, and governance across structured and unstructured sources. /li /ulpbSemantic Contextual Modelingbr/b /pulliModel, develop and maintain ontologies and semantic models to support AI agents and context-aware data access and queries. /liliModel business flows and relationships using knowledge graphs and contextual metadata (e.g., GraphRAG, LlamaIndex). /liliCollaborate on the implementation of Model Context Protocol (MCP) and Agent2Agent (A2A) for agent interoperability. /li /ulpbAI Integration Enablementbr/b /pulliEnable AI agents to access, interpret, and act on ERPx data through well-structured APIs and semantic layers. /liliSupport the integration of AI/ML models into event-driven architectures, microservices and agentic systems. /liliCollaborate with AI engineers to design AI workloads and meet AI requirements. /li /ulpbInfrastructure DevOpsbr/b /pulliDesign cloud-native, scalable infrastructure for data serving AI workloads (Azure, AWS, GCP). /liliImplement CI/CD pipelines for data using tools like Bicep, Airflow, Terraform. /liliEnsure observability, monitoring, and compliance in data and AI systems. /liliCollaborate with AI engineers to define retraining triggers, model drift detection, and feedback loops. /li /ulpbCollaboration Leadershipbr/b /pulliWork closely with architects, data scientists, AI engineers, and product leads to align data architecture with business goals. /liliParticipate in design and architectural reviews, roadmap planning, and research cross-functional discussions. /liliMentor junior engineers and contribute to knowledge sharing across teams. /li /ulpbRequirements:br/b /ppbTechnical Skillsbr/b /pullibData Architecture Engineering: /b Expertise in data Lakehouse architecture (Delta Lake, Databricks, Spark SQL), dbt, DLT, Airflow. /lilibStreaming Event Systems /b: Strong experience with real-time data processing (Apache Kafka, Flink, Spark Streaming), event modeling, schema evolution. /lilibSemantic Metadata Modeling /b: Proficiency in semantic modeling, ontology engineering, metadata management, knowledge graphs, Unity Catalog, GraphRAG, LlamaIndex. /lilibData Governance /b: Expertise in data privacy, security and compliance (e.g. GDPR). /lilibCloud DevOps /b: Experience with cloud platform (Azure/AWS/GCP) and IaC tools (Terraform, Kubernetes, Docker), CI/CD for data and supporting AI workloads. /lilibAI Integration /b: Familiarity with AI integration patterns, operations and automations, model lifecycle management, real-time feature pipelines, including MCP A2A protocols and context-aware APIs. /lilibProgramming /b: Python, .NET (C#), SQL, and optionally Scala or Java. /li /ulpbSoft Skillsbr/b /pullibCollaboration Communication /b: Work effectively across architecture, AI, product, and engineering teams. /lilibAgile Mindset /b: Comfortable with iterative delivery, version control, and DevOps practices. /lilibGovernance Awareness: /bComprehensive understanding of, and adherence to, organizational best practices concerning data privacy, security, and compliance requirements (such as GDPR). /li /ulpbAttitude Aptitudebr/b /pullibSystem Design Thinking /b: Ability to architect end-to-end data platforms with scalability, latency, and reliability in mind. /lilibProblem Solving /b: Strong debugging skills in distributed systems and performance tuning. /lilibCuriosity Learning /b: Eagerness to explore emerging technologies in AI, streaming, and semantic modeling. /lilibAdaptability /b: Comfortable navigating ambiguity and evolving project scopes. /lilibOwnership /b: Proactive in identifying gaps, proposing solutions, and driving initiatives forward. /lilibEthical Thinking /b: Awareness of responsible AI practices and data ethics in production systems. /li /ulpbPreferred Experiencebr/b /pulli5+ years in software engineering with a strong foundation in modern engineering practices. /liliExperience in enterprise software, ERP systems, enterprise-scale data platforms and process automation. /liliFamiliarity with data product thinking and self-service data platforms. /liliHands-on experience with Lakehouse architectures and real-time data pipelines. /liliProficiency in semantic modeling, ontology engineering, business flows and relationships using knowledge graphs and contextual metadata, data lifecycle management and data contacts. /liliStrong knowledge of streaming architecture design patterns. /liliUnderstanding of AI/ML lifecycle, AI agent frameworks and protocols for agent interoperability.br/li /ulbAdditional Informationbr/bpJoin Unit4 and be part of one of the most exciting journeys in the cloud ERP software space. We’re a fast-paced, high-growth, people-centric company, delivering enterprise software for a great people experience, and offering our own people a host of benefits and development opportunities. Grow with us At Unit4, we offer:br/pp• a culture built on trust - giving you the freedom and autonomy to be successful;br• balance - with our uncapped time off policy, remote working opportunities and Global Wellbeing Days when the whole company can switch off and prioritize well-being;br• talented colleagues, role models and mentors - work, learn and be inspired by some of the best talent in the software industry;br• a commitment to sustainability - with initiatives such as our Act4Good program, a way for everyone at Unit4 to come together and engage in actions that benefit society and the planet;br• a safe and inclusive working environment – supported by our Employee Resource Groups, which are open to all and include Women at Unit4, Pride at Unit4, Mental Health and Access at Unit4, and People of Color at Unit4.br/p