Senior Data Engineer

pbThis position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer (Python / AWS / ML Pipelines) based in Belgium. /b /p pAs a Senior Data Engineer, you will build and operate large-scale data and machine learning pipelines in a production environment.br/You will work across data engineering, cloud infrastructure, and machine learning operations to turn models into reliable production workflows.br/The role focuses heavily on Python, AWS, ETL, workflow orchestration, and scalable ML infrastructure.br/You will collaborate closely with Data Scientists and ML Engineers to productionize forecasting and data-driven solutions.br/You will also help improve the reliability, performance, and observability of critical data pipelines.br/Working within distributed Agile teams, you will contribute to architecture decisions and technical improvements across the data platform.br/This is an opportunity to work on challenging production systems while continuing to develop your cloud and ML engineering expertise. /p h3Accountabilities /h3 ul liBuild, maintain, and improve production-grade data and machine learning pipelines supporting forecasting and data-driven decision‑making. /li liDevelop ETL and data‑processing workflows using Python, ensuring they are scalable, reliable, and maintainable. /li liDesign and orchestrate workflows using technologies such as Apache Airflow and AWS Step Functions. /li liUse AWS Glue for data processing, transformation, and pipeline execution. /li liSupport the deployment and operationalization of machine learning models using AWS SageMaker. /li liWork closely with Data Scientists and ML Engineers to move models and analytical solutions reliably into production. /li liMonitor pipeline health and performance, troubleshoot production issues, and implement improvements to reliability, scalability, and efficiency. /li liContribute to architectural and technical decisions related to the data platform, ML infrastructure, and production workflows. /li liCollaborate effectively with distributed, cross‑functional Agile teams and contribute ideas that improve engineering practices and delivery. /li /ul h3Requirements: /h3 ul liStrong professional experience with Python and its application to data engineering and production systems. /li liProven experience building and maintaining data pipelines and/or machine learning pipelines in production. /li liHands‑on experience with Apache Airflow for workflow orchestration. /li liPractical experience with AWS Step Functions and AWS Glue. /li liExperience deploying and supporting machine learning models using AWS SageMaker. /li liStrong hands‑on experience with AWS cloud services and cloud‑based production environments. /li liExperience working with systems operating at significant scale, with a strong understanding of reliability and performance considerations. /li liExperience collaborating closely with Data Scientists, ML Engineers, and other technical stakeholders. /li liStrong troubleshooting, analytical, and problem‑solving abilities. /li liExcellent written and verbal English communication skills. /li liComfortable working independently and collaboratively within distributed, cross‑functional teams. /li liExperience with GCP is a plus but not required. /li liFamiliarity with monitoring and observability tools is also advantageous. /li /ul h3Benefits: /h3 ul liCollegial working environment where responsibility and decision‑making are shared across the team. /li liAgile culture where employees are encouraged to contribute ideas and influence technical direction. /li liSupportive approach to learning from mistakes and continuously improving ways of working. /li liOpportunities to work on different projects and broaden your technical experience. /li liOngoing training, mentoring, and professional development. /li liOpportunities for career growth and exposure to new technologies and challenges. /li liPossibility of business travel. /li liFlexible working arrangements appropriate to a distributed team. /li liAdditional salary, healthcare, and other employment benefits may vary according to local terms in Slovenia. /li /ul pbData Privacy Notice: /b By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. /p