> Markdown version of [/jobs/ext/1460839-data-engineer](https://www.wearedevelopers.com/jobs/ext/1460839-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Amaris - **Location:** Luxemburg, Belgium - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Component-Based Software Engineering, User Authentication, Microsoft Azure, Computer Programming, Data Architecture, Data Systems, Database Queries, Database Storage Structures, DevOps, Web Development, Github, Python (Programming Language), PostgreSQL, OAuth, Performance Tuning, Azure Active Directory, Cloud Services, Data Streaming, TypeScript, Web Applications, Data Logging, Azure Data Factory, Software Security, Backend, Fastapi, AngularJS, Gitlab-ci, Kubernetes, Apache Kafka, Data Management, Front End Software Development, Restful APIs, Azure Synapse Analytics, Data Pipelines - **Published:** July 28, 2026 - **Apply:** https://careers.mantu.com/apply ## About the Role * 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 ## Description 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! ## Related Videos - [Keeping applications secure by evolving OAuth 2.0 and OpenID Connect](https://www.wearedevelopers.com/videos/100152-keeping-applications-secure-by-evolving-oauth-2-0-and-openid-connect) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)