Data Engineer

We're looking for a Senior Data Engineer to join our consulting team in Luxembourg and support one of our key energy-sector projects. You'll be part of a multidisciplinary data team, taking technical ownership of complex data platforms and contributing to the migration towards a modern, cloud-based ecosystem on Azure. In this role, you'll work end to end - from solution design to implementation and support - and collaborate closely with business stakeholders and other technical teams. Main responsibilities

• Design and implement data solutions

• Translate business requirements into scalable technical designs

• Build end-to-end data flows for multiple types of consumers (analytics, applications, reporting)

• Ensure solutions follow architectural guidelines and best practices in performance, security, and maintainability

Develop data-centric web applications

• Build front-end applications using Angular and TypeScript
• Implement and maintain backend services using Python and FastAPI
• Secure and monitor REST APIs, including authentication, authorization, logging, and observability
• Work with asynchronous processing patterns where needed

Build and optimize data pipelines

• Design and maintain real-time and batch data pipelines
• Use Kafka for streaming, including topics, partitions, and consumer groups
• Ensure data quality, reliability, and efficient processing across the pipeline

Manage cloud data platforms

• Work with Azure data services, including Azure Storage and Azure Synapse
• Design and optimize database structures in PostgreSQL and TimescaleDB
• Contribute to the overall data architecture and performance tuning

DevOps and Kubernetes

• Design and maintain CI/CD pipelines for data and application components
• Deploy and operate solutions in Kubernetes environments (development, test, production)
• Implement monitoring, alerting, and reliability practices for production workloads

Collaboration and problem solving

• Work in an Agile setup with regular ceremonies (planning, daily stand-ups, reviews, retrospectives)
• Proactively identify technical risks and blockers and drive resolution
• Collaborate with data owners, architects, and business stakeholders to deliver high-quality solutions, At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:

Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!

Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!

Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.

As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience. We look forward to meeting you!

• Solid professional experience as a Data Engineer or Senior Data Engineer

• Strong hands-on programming skills in Python

• Experience building web applications with:

• Angular (TypeScript) for the front end

• FastAPI for backend services and REST APIs

Good understanding of API security, authentication, and authorization (e.g., JWT, OAuth2), as well as logging and observability

Strong SQL skills and experience with PostgreSQL and TimescaleDB

Practical experience with Azure data services (e.g., Synapse, Storage)

Proven experience implementing data streaming solutions with Kafka, including consumer group management

Experience designing and maintaining CI/CD pipelines (e.g., Azure DevOps, GitLab CI, GitHub Actions)

Hands-on experience deploying and operating solutions in Kubernetes

Familiarity with Microsoft Entra (Azure AD) or similar identity providers

• Opportunity to work on impactful data and cloud projects in the energy and sustainability domain
• International, multicultural environment based in Luxembourg
• Continuous learning and upskilling opportunities (technical training, certifications, knowledge sharing)
• Competitive salary and benefits package
• Supportive team culture with a focus on collaboration, ownership, and technical excellence

Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects for over a decade - this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We're focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.