Data Engineer
ANAIS
About us We are Europe's leading data manufacturer. At our core, we design, manage, structure and unlock the true potential of our clients' data assets. We believe every business has the power to revolutionise its data strategy. Our mission is to build disruptive solutions that drive innovation while actively reducing technical debt and environmental impact. Backed up by a team of over 900 experts, we partner with major leaders across every sectors, from Banking and Healthcare to Luxury Goods, Agritech, and beyond. Why join JEMS?
- The JEMS Academy: Hone your craft with continuous training and certifications in the latest cutting-edge technologies.
- Tailored Career Growth: Benefit from hands-on management and a personalised roadmap designed to elevate your career to the next level.
- A Vibrant Community: Dive into our technical hubs to exchange best practices, find a mentor, and collaborate with some of the brightest minds in the field.
- Award-Winning Culture: We are officially certified as a Great Place To Work®, a badge we wear with pride.
- Work Hard, Play Hard: From unforgettable seminars to legendary office parties, we ensure there's plenty of room for fun.
- End-to-End Solution Design: Participating in the full architectural journey, from initial data acquisition to final exploitation, empowering business departments to make data-driven decisions.
- Data Integration: Identifying, collecting, and weaving together diverse datasets to solve critical business and operational problems.
- Quality & Governance: Acting as a guardian of data integrity by implementing monitoring tools and ensuring strict adherence to governance standards.
- Bridging the Gap: Translating boardroom ambitions into clear, technical data rules, effectively connecting business needs with server-room reality.
- Industrialisation: Scaling your achievements through robust deployment practices, including unit, integration, and non-regression testing.
- Technical Expertise: Proficiency in SQL and at least one object-oriented language (Python, Java, or Scala).
- Framework Knowledge: Experience with distributed computing frameworks and a solid grasp of both relational and non-relational modelling.
- DevOps Mindset: A strong understanding of continuous integration tools such as Git, JUnit, SonarQube, or Jenkins.
- Cloud & Big Data: Practical experience with a major cloud provider (AWS, GCP, Azure) or a Big Data distribution (Hortonworks, Cloudera, Datastax).
- Education & Experience: You hold a degree from an engineering school or university and have at least 3 years of experience working on large-scale data projects.
- Soft Skills: Proactive, rigorous, and comfortable working autonomously, you know when to dive into the details and when to step back to see the bigger picture.
- Linguistic Versatility: As this role serves our Benelux clients, fluency in French, Dutch, and English (both written and spoken) is essential.
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