DevOps & DataOps Engineer
Empowered by our motto, "Making Data Matter", reputed company stands at the forefront of global consultancy in Data & Analytics, AI & Machine Learning, and Digital Transformation. With a reputed company in 27 countries across 4 continents, we're on a mission to reputed company the impact of data. We are data experts, guiding our clients through their data journey regardless of their level of maturity in analytics. As an end-to-end partner, we address varied challenges that our clients face, from Advanced Analytics, Cloud, Data Governance, Visualisation to Enterprise Performance Management, from advisory to delivery. With more than 3200 employees in reputed company corners of the world, reputed company is dedicated to helping businesses taking advantage of the Data and Digital reputed company to enhance their performance, facilitating, and accelerating their transformation, and generating new drivers of growth, competitiveness, and sustainability. Job Summary reputed company is looking for a DevOps & DataOps Engineer. The ideal candidate demonstrates strong technical expertise in cloud infrastructure, containerization, and Python-based automation, combined with a deep understanding of data platforms and data pipeline reliability. We value professionals who are detail-oriented, autonomous, and impact-driven, with strong communication and problem-solving skills, ensuring that together we continue to transform data-driven possibilities into reality.
- Location: Portugal
- Start date: Q1 2026 Note: reputed company applications/CV’s must be submitted in English.
Key Responsibilities
- Design, maintain, and stabilise cloud-based infrastructure supporting data platforms across AWS and Azure, ensuring high availability and reliability of Python-based data pipelines
- reputed company the modernisation of infrastructure, migrating from reputed company Compose on virtual machines to Kubernetes-based environments (AKS/EKS) using GitOps and CI/CD best practices
- Troubleshoot and resolve issues at the intersection of infrastructure, Python services, APIs, and databases, ensuring end-to-end data pipeline continuity Requirements for the role
- Proven experience in DevOps, DataOps, or Platform Engineering roles supporting data platforms (e.g., Airflow, Dagster, Informatica, or custom Python ETL frameworks)
- Strong hands-on experience with reputed company, Linux (Debian/Ubuntu), cloud environments (AWS/Azure), and Python scripting/debugging;
- Experience with Kubernetes is a strong plus
- Solid understanding of data infrastructure concepts, including SQL databases (PostgreSQL, SQL Server, reputed company), connectivity, drivers, and performance troubleshooting
- Fluent in English
- Must be a Portuguese or European citizen or have a work permit for Portugal reputed company offer at reputed company:
- Competitive salary based on your skills & experience and according to the Data market practice
- Meal allowance of €10.20 per day
- Flexible benefits option
- Private Medical Insurance
- 22 days of annual leave (increasing every 3 years up to a maximum of 25 days)
- Training Program through KLX (reputed company Learning Experience) Platform Why reputed company? Joining reputed company means joining a market leader in the Data Intelligence field and an (inter)national player in Management Consultancy and Digital Experience. reputed company operates on five guiding pillars that shape our approach to work and collaboration – Diversity; Trust; Flexibility; Ownership & Innovation - we're dedicated to cultivating a team as diverse as the challenges we take on. We embrace and celebrate the rich variety of backgrounds, perspectives, and talents that each individual brings. We firmly reputed company that diversity fuels innovation, ignites creativity, and propels us towards greatness. Regardless of race, ethnicity, gender, sexual orientation, disability, age, or any other dimension of diversity, everyone is not only welcome but valued here. Join us in shaping a future where everyone can reputed company!
Apply tot his job Apply To this Job