- Design, build, and maintain data pipelines leveraging AWS cloud services to process and integrate diverse data sources, including social media feeds and structured datasets.
- Implement and optimize Kubernetes-based container orchestration to ensure scalability, reliability, and efficient resource usage across data workflows.
- Collaborate with cross-functional teams to explore and enable AI/LLM-based natural language query capabilities on top of existing data infrastructure.
- Investigate and propose solutions for vectorization and data enrichment to support downstream analytics and machine learning models.
- Ensure compliance with legal and data governance policies.
- Work closely with product, engineering, and data science teams to define data structures, segmentation strategies, and enrichment approaches.
- Monitor and troubleshoot pipeline performance, ensuring high availability, quality, and accuracy of data delivered to stakeholders.
- Document architecture, workflows, and best practices to support long-term maintainability and scalability.
- Proven experience as a Data Engineer or similar role, with a track record of building robust data pipelines in AWS environments (e.g., S3, Glue, Lambda, Redshift, EMR).
- Hands-on expertise in Kubernetes orchestration, including deployment, scaling, and monitoring of containerized workloads.
- Familiarity with LLMs, vector databases, and AI/ML frameworks, with the ability to integrate them into data engineering workflows.
- Strong programming skills in Python with experience in building modular, reusable, and efficient code.
- Knowledge of data modeling, ETL processes, and data warehouse design.
- Ability to manage structured and unstructured data sources (including APIs and third-party feeds like Factiva).
- Understanding of data governance, security, and compliance frameworks, preferably in regulated industries.
- Excellent problem-solving skills and the ability to navigate ambiguity in data structures, customer segmentation, and enrichment strategies.
- Strong communication and collaboration skills, with the ability to work across engineering, product, and compliance teams.
- 100% Remote Work
- WFH allowance: Monthly payment as financial support for remote working.
- Career Growth: We have established a career development program accessible for all employees with a 360º feedback that will help us to guide you in your career progression.
- Training: For Tech training at Zartis, you have time allocated during the week at your disposal. You can request from a variety of options, such as online courses (from Pluralsight and , for example), English classes, books, conferences, and events.
- Mentoring Program: You can become a mentor in Zartis or you can receive mentorship, or both.
- Zartis Wellbeing Hub (Kara Connect): A platform that provides sessions with a range of specialists, including mental health professionals, nutritionists, physiotherapists, fitness coaches, and webinars with such professionals as well.
- Multicultural working environment: We organize tech events, webinars, parties, and activities to do online team-building games and contests.
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Senior Data Engineer - European Union - Zartis
2 hari yang lalu
Deskripsi
Senior Data Engineer
The company and our mission:
Zartis is a digital solutions provider working across technology strategy, software engineering and product development.
We partner with firms across financial services, MedTech, media, logistics technology, renewable energy, EdTech, e-commerce, and more. Our engineering hubs in EMEA and LATAM are full of talented professionals delivering business success and digital improvement across application development, software architecture, CI/CD, business intelligence, QA automation, and new technology integrations.
We are looking for a Senior Data Engineer to work on a project in the media industry.
The project:
Our teammates are talented people that come from a variety of backgrounds. We're committed to building an inclusive culture based on trust and innovation.
You will be part of a distributed team developing new technologies to solve real business problems. Our client is a leading media intelligence partner that combines traditional journalism expertise with cutting-edge digital intelligence to deliver real-time insights. Their solutions span brand analysis, M&A support, crisis management, and risk intelligence for global enterprise clients.
We are looking for someone with good communication skills, ideally with experience making decisions, being proactive, used to building software from scratch, and with good attention to detail.
What you will do:
What you will bring:
What we offer:
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