Senior Data Engineer – NLP, ML

🔥 0 minutes ago

🇨🇿 Czechia – Remote

💵 €35 - €41 / hour

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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Jimmy Technologies

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📦 Logistics

🚘 Automotive

Consulting • Logistics • Automotive

Jimmy Technologies is a company specializing in providing technology solutions and innovations for the mobility industry. They focus on automotive, mobility, and fintech sectors, utilizing high-skilled development teams and proven business strategies to ensure innovative outcomes and rapid market entry. Their services include end-to-end product realization, cloud services, and technical consulting, emphasizing value-centric and outcome-driven approaches. With the implementation of their Jimmy Framework and Components, they enable cost-cutting and faster product launches, offering tailored solutions from pre-built modules developed in-house. By collaborating with clients from the initial idea to product launch, Jimmy Technologies aims to boost business efficiency and achieve significant revenue gains.

📋 Description

• Design, build, and maintain reliable ingestion pipelines moving raw data into production-ready platforms • Own data cleaning, transformation, schema design, quality validation, and lineage tracking • Develop large-scale data workflows using Databricks and PySpark • Prepare high-quality datasets, features, and pipelines for NLP, NLU, and broader ML use cases • Operate and integrate Azure Blob Storage, databases, compute resources, MLflow, and Azure AI/ML services • Implement automated deployment, testing, monitoring, and promotion gates through CI/CD and MLOps • Ensure pipeline reliability, observability, performance, and end-to-end data quality • Support an AI incubator that scouts, incubates, and validates client and internal ideas and develops technology roadmaps and prototypes

🎯 Requirements

• Strong Data Engineering background in ETL/ELT, pipeline development, schema design, and orchestration • Hands-on experience building reliable, production-ready ingestion pipelines with hardening, validation, and monitoring • Strong Python and PySpark skills for large-scale data processing and transformation • Practical Databricks experience in scalable data engineering and distributed processing • Hands-on Azure experience with Blob Storage, databases, compute resources, MLflow, and Azure AI/ML services • Knowledge of data quality, lineage tracking, observability, and production readiness • ML lifecycle awareness supporting model development, experimentation, deployment, and monitoring • Experience supporting NLP/NLU use cases, including dataset and pipeline preparation for language applications • Excellent problem-solving skills and keen attention to detail • Ability to participate in and lead technical discussions • Consultancy mindset and focus on finding solutions for clients

🏖️ Benefits

• Remote-first work arrangement • Long-term contract position • Ability to travel freely within Europe for workshops