AI Ops & Data Ops Senior Engineer for Newra, Part of Accenture
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AI Ops & Data Ops Senior Engineer for Newra, Part of Accenture
Location
Athens, Central Athens, Greece
Experience
Senior
Posted
Jul 7, 2026
Apply by
August 6, 2026
Applicants
0
Early applicantFull-timeWork from Office
Job Description
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
**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
To learn more about Accenture, and how you will be challenged and inspired from Day 1, please visit our website accenture.com/gr-en/.
Key Responsibilities
- 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
- Manage incident response and resolution for data pipeline and system alerts
- Create operational runbooks, SOPs, and incident response protocols
- Perform performance tuning and capacity planning for data systems
- Track and report on operational metrics, SLAs, and system availability
- Monitor and optimize cloud and Databricks costs using FinOps practices
- Support production deployments and changes
Requirements
- Degree in Computer Science
- Engineering
- Information Systems
- or related field
Skills Required
PythonSQLBashAzure DevOpsGitKubernetesDockerApache AirflowGrafanaAzure MonitorELK StackDatabricksAzure Data FactoryAzure Cloud ServicesAKSOperational mindsetSLA ownershipIncident managementChange managementRunbook disciplineAnalytical skillsProblem-solving skillsGreek language proficiencyEnglish language proficiencyAzure Cost ManagementPostgreSQLSQL ServerNoSQLTerraformBicepInfrastructure-as-codeSRE practices
Benefits
- Competitive salary
- Life/health insurance
- Performance based bonuses
- Monthly vouchers
- Company car
- Flexible work arrangements
- Employee share purchase plan
- Parental leave
- Corporate discounts
- Continuous training & development
- Career coaching and mentorship
- Diverse and inclusive culture
- Corporate citizenship initiatives
- Relocation benefits
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