What you'll do
- Build CI/CD pipelines for data and AI/ML workloads using Azure DevOps and Git
- Implement production monitoring and observability for data pipelines and AI/ML infrastructure using Grafana, Azure Monitor, and ELK Stack
- Respond to and resolve incidents, triage data pipeline incidents and operational issues with minimal downtime
- Develop operational runbooks, SOPs, and incident response protocols to ensure reliable operations
- Tune performance and plan capacity for data systems and infrastructure
- Track and report on operational metrics, SLAs, and system availability for AI/ML data platforms
- Monitor and optimize cloud and Databricks costs with tagging, budgets, and cost frameworks
- Support production deployments and manage changes
Key requirements
- 5+ years' experience
- Python, SQL, Bash scripting for automation and pipeline maintenance
- CI/CD pipelines with Azure DevOps and Git
- Kubernetes and Docker container operations
- Apache Airflow or similar orchestration tools
- Observability and monitoring with Grafana, Azure Monitor, ELK Stack
- Databricks, Azure Data Factory, and Azure Cloud Services
- Computer Science / Engineering / Information Systems / Any Field
Benefits
- Competitive salary and benefits including life/health insurance, performance-based bonuses, monthly vouchers, company car (depending on level), flexible work arrangements, employee share purchase plan, parental leave, corporate discounts and continuous training & development through global platforms and local academy.
About the job
ARE YOU READY to step into the New Era (NewRA) of AI-driven banking?
At Accenture Newra AI Hub, we are not just building technology, we are redefining how banking operates. As part of our strategic collaboration with Piraeus, Newra is designed to responsibly embed AI at the core of its business, moving beyond experimentation to real-world impact at scale. Built to make a real difference, Newra reflects our belief that AI creates value only when it genuinely improves people’s lives.
You will work on advanced AI solutions that span the full spectrum of the bank -from core banking systems to customer experience- simplifying complexity, automating critical processes and delivering measurable results where they matter most.
Joining Newra means becoming part of a high-performing team of innovators at the beginning of a major reinvention. This is a space for people who approach AI with depth, discipline and purpose. You will collaborate across disciplines, develop future-proof skills, and help turn technology into real-world transformation.
As an AI Ops & Data Ops Senior Engineer , you’ll keep the AI and data platform fast, reliable, observable, and continuously improving. You’ll build the operational backbone for data and AI/ML workloads, automating deployments, monitoring pipelines, enforcing SLAs, improving incident response, and helping teams ship safely at speed. You’ll work where platform engineering, data operations, AI operations, and FinOps meet, making sure the systems behind AI products are resilient, measurable, and ready to scale.
What you'll build
CI/CD pipelines for data and AI/ML workloads, automated build, test, deployment, and release management using Azure DevOps and Git
Production monitoring and observability for data pipelines and AI/ML infrastructure: Grafana, Azure Monitor, ELK Stack, and logging solutions
Incident response and resolution, triage data pipeline incidents, system alerts, and operational issues with minimal downtime
Operational runbooks, SOPs, and incident response protocols to ensure repeatable, reliable operations
Performance tuning and capacity planning for data systems and infrastructure
AIOps practices: track and report on operational metrics, SLAs, and system availability for AI/ML data platforms
FinOps: monitor and optimise cloud and Databricks costs (tagging, budgets, chargeback, showback, right-sizing)
Support production deployments and change
Qualification
What we need
Degree in Computer Science, Engineering, Information Systems, or related field
~5 years in data engineering, DevOps, platform engineering, or a similar ops-focused role
Python, SQL, and Bash scripting for automation and pipeline maintenance
Hands-on with CI/CD tooling: Azure DevOps, Git — building and maintaining automated deployment pipelines
Kubernetes and Docker operations; Apache Airflow or similar orchestration tools
Observability stack experience: Grafana, Azure Monitor, ELK Stack / logging solutions
Databricks / Azure Data Factory and Azure cloud services (Storage, VMs, AKS)
Operational mindset: SLA ownership, incident management, change management, and runbook discipline
Strong analytical and problem-solving skills; proficiency in Greek and English
Nice to have:
FinOps tooling: Azure Cost Management, tagging strategies, chargeback / showback frameworks
PostgreSQL / SQL Server / NoSQL; infrastructure-as-code (Terraform, Bicep)
•SRE practices: error budgets, reliability targets, postmortem culture
What's in it for you
Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, parental leave and various corporate discounts
Continuous training & development through global platforms & local academy. At Accenture, we believe in bringing the best to our clients through continuous learning & improvement – from basic skills to industry-specific content – available to all our people
Career coaching and mentorship to help you manage your career and develop professionally
Ongoing strength and skill-based evaluation process
Various opportunities to develop your career across a spectrum of clients, industries and projects
Diverse and inclusive culture
Opportunities to get involved in corporate citizenship initiatives, from volunteering to doing charity work
Under our Brain Regain initiative, extra relocation benefits may apply




