Data Engineer - Build the backbone of our AI solutions
Are you ready to play a pivotal role as our Data Engineer? Build data pipelines and operationalize AI models securely and responsibly with cutting-edge technology.
Our AI team develops advanced models, including those combating telecom fraud. To enhance quality, speed, and reliability across the delivery cycle -from data experimentation to stable model deployment in production- we need to establish a robust, modern, and privacy-focused data and MLOps foundation.
As our new Data Engineer, you will play a pivotal role. You will not only build data pipelines but also operationalize our AI models securely and responsibly.
In this role you will:
- Design, develop, and operate scalable and efficient data pipelines supporting both ML model training and inference, with built-in privacy mechanisms.
- Implement and enhance DataOps/MLOps practices, including CI/CD for machine learning, automated testing, version control, and model monitoring in production.
- Ensure privacy and data security ('privacy by design') throughout data processing, aligning with GDPR and customer requirements, especially in challenging on-premises environments.
- Work on automation of deployment, configuration, and monitoring of both data and ML solutions, leveraging technologies like Kubernetes and Helm, with security as a foundational requirement.
- Act as a key technical bridge between the AI team (data scientists) and other engineering resources.
- Ensure data quality, governance, and compliance (including privacy) throughout the ML lifecycle.
- Actively contribute to technology and architecture choices for our data and MLOps platforms
- Be instrumental in establishing a smooth, robust, scalable, and privacy-friendly process for AI development and operations at Utel.
Who You Are?
We are looking for someone who has:
- Relevant higher education in IT/data/engineering or several years of practical experience as a Data Engineer, preferably with exposure to MLOps or machine learning model operations.
- Strong technical expertise in Python.
- Experience building reliable data pipelines to support ML workflows (training and/or inference). Experience with specific tools like Spark, Kafka, Airflow, or dbt is beneficial but secondary to understanding pipeline principles for ML.
- Proficient in Linux environments and preferably experience with on-premises installations.
- A genuine desire to automate processes and build robust systems. Experience with container technology (Docker) and orchestration (Kubernetes, including Helm) is important for this role.
- Strong interest in—and ideally practical experience with—DataOps/MLOps principles and tools.
- A strong awareness of—and preferably experience with—handling sensitive data and privacy (e.g., GDPR). You understand the importance of security and 'privacy by design'.
- Ability to communicate effectively technically and bridge between different disciplines. You speak 'enough AI/ML' to understand data scientists' needs and translate them into robust infrastructure and processes.
- We would be delighted if you also have experience with: Monitoring tools (Prometheus/Grafana, MLFlow++), specific privacy-enhancing techniques, or telecom sector data.
- Structured, solution-oriented, and with good collaboration skills.
- Fluent in both spoken and written Norwegian and English.
What We Offer:
- A unique and pivotal role where you will work at the intersection of Data Engineering, DevOps, MLOps, and Privacy.
- The opportunity to shape and build the future platform for responsible AI and data in a growing company.
- Work on complex and meaningful challenges in telecom security, where privacy and ethics are central.
- A competent, inclusive, and informal work environment with a strong focus on learning and development.
- High degree of autonomy and influence on technology choices and solutions.
- Competitive compensation (salary, pension, insurance).
- A nice workplace in Grimstad (Sørlandets Teknologipark) with flexibility for partial remote work.
- Department
- Utel
- Locations
- Grimstad
- Remote status
- Hybrid
Grimstad
People & culture
We’re a team of enthusiastic individuals, blending experience and fresh talent to create a thriving culture and working environment. We deliver solutions to operators around the world, who depend on our expertise and the outstanding support we offer.
Our team loves challenges, makes friends and has fun. We’re growing and we want you to bring your ideas, skills and innovations to help us. Based in Grimstad, Norway, we also have branch offices in Sri Lanka.
About Utel
Utel offers lightning-fast solutions that allow telecom operators to easily gain in-depth network insight, streamline operations and strengthen their defense against fraudsters.
Our highly scalable network monitoring, fraud detection and analytics solutions enable data acquisition from multiple network interfaces, capturing real-time data to provide valuable insight into network performance.
- Understand network performance across different domains
- Run more efficient operations
- Identify and resolve faults
- Provide assurance and meet SLA/KPIs
- Plan investment more effectively
- Protect against threats, such as fraud
- Reduce risk exposure and loss
Utel is a subsidiary of Alytic, which is fully owned by Arendals Fossekompani, a green-tech industrial investment company with substantial financial capacity and decades of successful value creation.
Data Engineer - Build the backbone of our AI solutions
Are you ready to play a pivotal role as our Data Engineer? Build data pipelines and operationalize AI models securely and responsibly with cutting-edge technology.
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