We 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. Read more on our website about how we transform work and how people feel about it, so our customers and their people can thrive.
We are seeking a forward-thinking Data Engineer 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.
You will work at the intersection of data architecture, semantic modeling, and AI integration enabling innovation across AI, analytics, and enterprise automation.
Additionally, your expertise will play a vital role in advancing current and future data engineering initiatives across multiple teams and projects at Unit4.
Data Architecture & Engineering
Design and implement scalable data lakehouse architectures using Delta Lake and Databricks.
Support and contribute to the evolution of the Unit4’s data platform and related initiatives.
Define and enforce data lifecycle management, data contracts, and metadata standards.
Design and develop real-time data pipelines and streaming architectures using Kafka, Spark Streaming, or Flink.
Ensure data quality, lineage, and governance across structured and unstructured sources.
Model, develop and maintain ontologies and semantic models to support AI agents and context-aware data access and queries.
Enable AI agents to access, interpret, and act on ERPx data through well-structured APIs and semantic layers.
Infrastructure & DevOps
Design cloud-native, scalable infrastructure for data serving AI workloads (Azure, AWS, GCP).
Implement CI/CD pipelines for data using tools like Bicep, Airflow, Terraform.
Ensure observability, monitoring, and compliance in data and AI systems.
Work closely with architects, data scientists, AI engineers, and product leads to align data architecture with business goals.
Participate in design and architectural reviews, roadmap planning, and research cross-functional discussions.
Mentor junior engineers and contribute to knowledge sharing across teams.
Data Architecture & Engineering: Expertise in data Lakehouse architecture (Delta Lake, Databricks, Spark SQL), dbt, DLT, Airflow.
Strong experience with real-time data processing (Apache Kafka, Flink, Spark Streaming), event modeling, schema evolution.
Semantic & Metadata Modeling : Proficiency in semantic modeling, ontology engineering, metadata management, knowledge graphs, Unity Catalog, GraphRAG, LlamaIndex.
Data Governance : Expertise in data privacy, security and compliance (e.g. Cloud & DevOps : Experience with cloud platform (Azure/AWS/GCP) and IaC tools (Terraform, Kubernetes, Docker), CI/CD for data and supporting AI workloads.
Python, .NET (C#), SQL, and optionally Scala or Java.
Agile Mindset : Comfortable with iterative delivery, version control, and DevOps practices.
Comprehensive understanding of, and adherence to, organizational best practices concerning data privacy, security, and compliance requirements (such as GDPR).
System Design Thinking : Ability to architect end-to-end data platforms with scalability, latency, and reliability in mind.
Strong debugging skills in distributed systems and performance tuning.
Adaptability : Comfortable navigating ambiguity and evolving project scopes.
Awareness of responsible AI practices and data ethics in production systems.
5+ years in software engineering with a strong foundation in modern engineering practices.
~ Experience in enterprise software, ERP systems, enterprise-scale data platforms and process automation.
~ Familiarity with data product thinking and self-service data platforms.
~ Hands-on experience with Lakehouse architectures and real-time data pipelines.
~ Proficiency in semantic modeling, ontology engineering, business flows and relationships using knowledge graphs and contextual metadata, data lifecycle management and data contacts.
~ Join 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. 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;
• talented colleagues, role models and mentors - work, learn and be inspired by some of the best talent in the software industry;
• 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.