Digital Data Operations Manager

Role Overview

The Digital Data Operations Manager will be responsible for guaranteeing the right Data integration service is delivered in the Divisional facilities, working alongside a multi-disciplinary team of IT service following all the best practices recommended by ITILv4 framework.

What You Will Do

The main tasks include monitoring service health, defining metrics for good service support level, leading RCA for associated problems, managing patch implementation, and collaborating with data engineer and solution architects to resolve data quality issues.

Why It Might Be a Fit

The successful candidate will have over 5 years of relevant work experience as a DataOps Engineer or in the field of Operation Management, with strong collaboration and communication skills, and experience in ITILv4 principles and IT Service Management.

Requirements

• University degree in IT related field such as Computer Science, Data Science or similar
• Existing Security Clearance or eligibility to obtain one would be a plus
• English negotiation level
• Strong collaboration and communication skills
• Over 5 years of relevant work experience as a DataOps Engineer or in the field of Operation Management
• API based services technologies and cloud architecture On Prem experience would be mandatory
• Extensive experience in relation to ITILv4 principles and IT Service Management hands on
• Problem solving methodologies knowledge (PPS, 5whys, …) and person with key attention to detail
• Experience in Heavy usage of Docker and Kubernetes to isolate data environments
• Experience in developing technical and support documentation, translate business requirements and needs into reporting and models
• Experience in querying and managing both relational and NoSQL databases
• Advanced knowledge on DevOps methods and tools is a must, with key focus on CI/CD and version control (ex: Git, GitHub, GitLab, Jenkins …)
• IT project management basic knowledge, waterfall and agile
• System Administration experience in relation to Windows and Linux environments would be really appreciated
• Basic knowledge about Data Analytics
• Basic knowledge about Data Governance and Data Lineage would be a plus
• Basic knowledge in building ESB and/or ETL/ELT solutions/integrations for large scale data pipelines (on-premises) would be a plus

Benefits

• Vacation days and additional days-off along the year (+35 working days off in total)
• Attractive salary and compensation package
• Hybrid model of working when possible, promoting the work-life balance
• Collective transport service in some sites
• Benefits such as health insurance, employee stock options, retirement plan, or study grants
• On-site facilities (among others): free canteen, kindergarten, medical office
• Possibility to collaborate in different social and corporate social responsibility initiatives
• Excellent upskilling opportunities and great development prospects in a multicultural environment
• Special rates in products & benefits