Senior Network Data and Analytics Engineer BL Cognitive Automation | Operations Intelligence ·

Make an impact by working for sectors where technology is the enabler, everything is ground-breaking and there’s a constant need to be innovative.

Create and enhance projects in Java, Python, Angular, PHP, .NET and so much more while diving in the world of Blockchain, Artificial Intelligence, Data Science, Security and Internet of Things.

Be part of the team that combines business knowledge, technological edge and a design experience. Our different backgrounds and know-how are key in developing solutions and experiences for digital clients.

Face challenges and learn other ways of thinking and seeing the world - there’s always room for your energy and creativity.

About the role

We seek a highly experienced Senior Network Data and Analytics Engineer to lead the design and implementation of data-driven solutions that power advanced analytics across Telecom OSS platforms. This role is ideal for a professional with a deep understanding of telecom networks, data engineering best practices, and OSS domains who can drive innovation and mentor others within a complex and evolving environment.

As a part of your job, you will:

- Lead the design and development of advanced data pipelines for ingestion, transformation, and storage of OSS data (alarms, KPIs, inventory, service quality, etc.).
- Define and evolve the data architecture strategy for real-time and batch analytics in OSS domains, including service assurance, fault management, and performance analytics.
- Act as a technical authority and mentor for junior engineers, guiding them on best practices, data modeling, and optimization strategies.
- Collaborate with network engineering, solution architects, and operations teams to identify business-critical use cases and translate them into robust data solutions.
- Ensure data governance, security, and quality standards are met across all systems and data flows.
- Design and support visualization solutions and dashboards for operational and executive-level insights.
- Partner with AI/ML teams to enable real-time and batch data streams to feed ML models or train them.
- Serve as a bridge between technical execution and strategic planning, engaging with stakeholders across engineering, IT, and operations.

What are we looking for?

- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Telecommunications, or related field.
- 5+ years of experience in data engineering, ideally within telecom or OSS-related domains.
- Expert in SQL, Python, and data processing frameworks like Apache Spark, Kafka, or Flink.
- Deep understanding of telecom network architecture and OSS systems (e.g., fault/performance management, inventory, NMS).
- Proficient with cloud data platforms (AWS, GCP) and big data ecosystems.
- Demonstrated experience in architecting and delivering complex data solutions at scale.

Personal traits

- Ability to adapt to different contexts, teams, and Clients;
- Teamwork skills but also a sense of autonomy;
- Motivation for international projects and ok if travel is included;
- Willingness to collaborate with other players;
- Strong communication skills.

At Celfocus, we are committed to cultivate a diverse and inclusive workplace. As an equal-opportunity employer, we welcome applicants of all backgrounds, gender identities, and abilities. We are dedicated to providing reasonable accommodations for candidates with specific needs. If you require any adjustments during the selection process, please inform our Talent Acquisition Team.

Come join the Team

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