Design, build, test, deploy, and support scalable data pipelines and data products on Azure Databricks.
Compensation
Exempt roles are also performance bonus eligible
Responsibilities
Design, build, test, deploy, and support scalable data pipelines and data products on Azure Databricks.
Develop ingestion and transformation processes for data from on-premises, cloud, SaaS, and third-party sources using batch and, where appropriate, streaming patterns.
Use SQL and Python or PySpark to transform, validate, and optimize large and complex datasets.
Design and maintain reusable data structures across raw, refined, and curated layers, applying dimensional modeling and star schema principles where appropriate.
Build reliable Delta Lake solutions and apply Databricks capabilities for orchestration, performance, observability, and data quality.
Requirements
Bachelor’s degree in technology, engineering, computer science, or a related field, or an equivalent combination of education and experience.
Business Analyst with production support experience bridging end-users and technical teams to diagnose live system issues, analyze root causes, manage incident tickets, and translate operational issues into functional requirements for permanent software/product fixes.
Responsibilities
Business Analysis: Requirement Gathering, Gap Analysis, User Story Creation with Acceptance Criteria’s, Agile/Scrum Methodologies
Stakeholder Communication: Translate technical concepts for business teams and business goals for developers
Production Support: Incident Management, Root Cause Analysis (RCA), Service Level Agreement (SLA) Tracking, Ticketing Systems
Ticket Logging & Triage: Receive user issues via helpdesk tools, capture error details, and categorize severity
Deep Troubleshooting: Perform advanced technical investigation into application errors, integration blocks, and performance lags
Requirements
Bachelor’s degree in business information systems (IS), computer science or related field, or equivalent-related IT experience
Nice to have: Proficiency in using Snow, Jira
Nice to have: In-depth technical knowledge of systems, networks, and software.
Nice to have: Understanding of .NET technology based applications.
Nice to have: Advanced ticketing and incident management systems
The role involves managing change requests, facilitating change advisory board (CAB) meetings, and ensuring proper risk assessment and mitigation for infrastructure services.
Responsibilities
Review and document change requests, managing the approval process and ensuring proper risk assessment and mitigation strategies are in place.
Manage change requests for various Biz units, prioritizing them based on impact and urgency, ensuring alignment with business priorities.
Communicate scheduled blackout/freeze periods to ensure proper risk mitigation during high-priority times
Πτυχίο Ανώτατης Πανεπιστημιακής Εκπαίδευσης στην Πληροφορική / Computer Science ή Θετικών Επιστημών ή Πολυτεχνικής Σχολής με μεταπτυχιακό στην Ασφάλεια Πληροφοριών
Nice to have: Μεταπτυχιακό στην Ασφάλεια Πληροφοριών
As an AI Engineer, you build customer-facing platform capabilities and AI-powered solutions that solve real business problems, working directly with Product Management, Customer Success, and enterprise customers.
Lead digital and automation initiatives across Charter Hall’s national retail portfolio, driving process simplification, system integration, and technology adoption to enhance efficiency and customer experience.
Responsibilities
Shape smarter ways of working by partnering with retail teams to simplify processes and deliver scalable improvements
Turn business challenges into practical solutions, connecting stakeholder needs with technology
Lead delivery from discovery and design through testing, deployment and adoption
Connect systems and unlock automation using integrated workflows and responsible AI
Track performance, adoption and benefits, refining processes based on insights
Requirements
Relevant qualification in Information Technology, Computer Science, Software Engineering, Information Systems or equivalent practical experience
Building customer-facing capabilities across our Enterprise Agent Platform, including agent orchestration, workflow execution, enterprise integrations, knowledge management, and administration.
Developing production-ready AI workflows and reusable platform services that power enterprise solutions across multiple industries.
Designing trusted AI capabilities including evaluation, verification, observability, provenance, and human-in-the-loop workflows.
Building intuitive developer and user experiences that simplify how enterprise customers create, configure, and operate AI agents.
Working directly with enterprise customers to understand their business problems, rapidly prototype solutions, and turn successful implementations into reusable platform capabilities.
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