Who we are

VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation. As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.

We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.

#VOIS #BeUnrivalled #CreateTheFuture

About this Role

We are seeking a DataOps Engineer to design, implement and operate security data onboarding, transformation and validation pipelines that support Cyber Security Data Platforms. This role focuses on ensuring data quality, integrity, lineage and governance compliance across security monitoring, analytics and automation platforms, including SIEM and SOAR services. The successful candidate will work across multi-cloud environments and modern data engineering technologies to deliver reliable, scalable and supportable security data flows that enable effective cyber security operations and analytics.

What you’ll do

- Design, onboard, transform, validate and deliver telemetry, log and event data into Security Monitoring & Analytics platforms using scalable and reusable ingestion patterns.
- Build and maintain source-to-target data onboarding processes across security data platforms and analytics services.
- Monitor and maintain data quality, integrity, completeness and reliability across security data flows, including event loss detection and log volume monitoring.
- Configure, troubleshoot, optimise and support data ingestion pipelines and associated tooling to ensure reliable and high-performing operations.
- Create, manage and maintain data schemas, mappings and transformations while ensuring documentation aligns with Security Monitoring & Analytics governance standards.
- Implement and maintain data lineage, metadata controls and ownership tagging to support governance requirements and regulatory obligations.
- Support incident response activities, root cause analysis and remediation for data outages, event loss, performance issues and excessive data volumes.
- Work with technologies such as Cribl, Logstash,



ELK/Elastic and related pipeline tooling to create scalable and maintainable security data flows.
- Collaborate closely with Data Engineers, Site Reliability Engineers, DevOps teams, architects, security operations teams and source-system owners to ensure end-to-end data flow alignment.
- Drive continuous improvement initiatives that enhance reliability, observability, operational efficiency and data governance across cyber security platforms.

Who you are

- Proven hands-on experience in DataOps, Data Engineering, Data Onboarding or related roles delivering production data pipelines for security telemetry, log or event data.
- Experience working with SIEM technologies such as Google SecOps (Chronicle), ArcSight or equivalent enterprise security monitoring platforms.
- Practical experience building and operating data ingestion, routing and transformation pipelines using Cribl, Logstash, ELK/Elastic or similar technologies.
- Working knowledge of cloud platforms including Google Cloud Platform (GCP), Amazon Web Services (AWS) and/or Microsoft Azure.
- Understanding of cloud-native data services, operational monitoring and security-focused data architectures.
- Strong scripting and automation skills using Python, Bash or equivalent technologies.
- Experience implementing automated data quality checks, schema validation, metadata management, lineage tracking and pipeline observability.
- Understanding of security, reliability, governance and compliance requirements within cyber security environments.
- Ability to support incident investigation, troubleshooting and root cause analysis for production data platform issues.
- Strong stakeholder management and collaboration skills, with the ability to work effectively across technical and business teams.
- Experience with automation and workflow tooling and designing system maintenance and troubleshooting procedures is desirable.
- Experience working within DevSecOps or IT Operations environments supporting security data platforms is advantageous.

Not a perfect fit?

Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the , you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.

What's in it for you





- Opportunity to work on enterprise-scale cyber security monitoring and analytics platforms.
- Exposure to leading security technologies including Google SecOps, SIEM, SOAR and cloud-native security solutions.
- Experience working across multi-cloud environments including GCP, AWS and Azure.
- Collaboration with highly skilled cyber security, data engineering, DevOps and reliability engineering teams.
- Opportunity to contribute to critical security services that protect business operations and support regulatory compliance.
- Exposure to up-to-date DataOps, automation and observability practices within cyber security environments.

What skills you will learn

- Advanced security data engineering and DataOps practices.
- Security telemetry onboarding, transformation and validation techniques.
- SIEM and SOAR platform integration and optimisation.
- Cloud-native security data architecture across GCP, AWS and Azure.
- Data lineage, governance, metadata management and regulatory compliance controls.
- Pipeline observability, monitoring and event loss detection methodologies.
- Cyber security incident investigation and root cause analysis processes.
- Automation, scripting and operational excellence techniques for security platforms.

VOIS Equal Opportunity Employer Commitment

Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.

Join Us

At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this. We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.

With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.

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- You can also chat with our employees to learn more about our projects: Employee Connect

📌 Sr. DataOps Engineer-VOIS (Pune)
🏢 Vodafone
📍 Pune