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Senior Data Engineer w/ NLP & ML

Jimmy Technologies

Role overview

Qualifications

  • Experience in designing and building data pipelines
  • Proficiency in ETL/ELT processes
  • Knowledge of large-scale data processing using Databricks and PySpark
  • Familiarity with Azure infrastructure and services

Responsibilities

  • Design and maintain reliable ingestion pipelines
  • Own data cleaning, transformation, schema design, quality validation, and lineage tracking
  • Develop data workflows for large-scale processing
  • Implement automated deployment, testing, monitoring, and promotion gates

Key facts

Hard skills

Data Engineering Natural Language Processing (NLP) Databricks Microsoft Azure Mload Azure Machine Learning MLflow

Other skills

  • Problem Solving
  • Collaboration

About the company

Jimmy Technologies logo

Jimmy Technologies

INNOVATE. ELEVATE. NAVIGATE. Jimmy Tech is a cutting-edge product innovation & consulting studio in the digital landscape. Innovate: We specialize in crafting innovative business ideas and products through forward-thinking strategies and a highly specialized team. Elevate: Empowering businesses to stand out, we provide strategic guidance to create novel products and services, validate your ideas, and transform concepts into successful ventures. Navigate: Defining the future of technology, we go beyond common experiences, fine-tuning every detail to ensure our revolutionary products set the standard in the industry. YOUR GAINS WITH US: • Expertise in key industries Our forte lies in specialized sectors: automotive, mobility, fintech. Our industry expertise isn’t just a tagline; it’s a promise of added value. We understand the innovations, successful business strategies, users, nuances, and regulations within these sectors, giving your product or business an unmatched advantage. • You have the power every step of the way We don’t just work for you; we work with you. At Jimmy Technologies, client involvement is embedded in our process. We believe in transparent collaboration, ensuring your vision aligns seamlessly with our technical skills and guidance. • High quality Value and efficiency (Jimmy Framework) We don’t settle for the ordinary. Our advanced processes redefine how Jimmy's teams collaborate, communicate, and create. From requirement definition to testing and automation, our streamlined methods guarantee quality, efficiency, and innovation at every turn. • Cut the costs & launch faster than others Innovation meets efficiency with our unique Jimmy Components. These pre-developed templates and features, tailored to industry standards, save time and resources without compromising quality. Your project gets a head start without sacrificing customization – every line of code belongs to you.

Company details

Company size11 - 50

Links

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Job description

Our partner, a Fortune 500 company, is building an AI incubator to scout, incubate, and validate client and internal ideas on a 3–5 year horizon. The team develops technology roadmaps and prototypes that turn into advanced client solutions — and continually pushes cutting-edge AI into new products, services, and capabilities.

We're looking for a Senior Data Engineer to design, build, and operate reliable, production-ready data pipelines for large-scale data and ML use cases. You'll bridge raw data ingestion, transformation, and quality assurance with downstream machine learning workflows — with particular emphasis on NLP/NLU.

This is a long-term, remote-first contract position with required US working hours overlap (2-6 PM CET).

Responsibilities

  • Build & harden pipelines: design and maintain reliable ingestion pipelines that move raw data into production-ready platforms.

  • ETL/ELT: own data cleaning, transformation, schema design, quality validation, and lineage tracking.

  • Large-scale processing: develop data workflows using Databricks and PySpark.

  • ML enablement: prepare high-quality datasets, features, and pipelines for NLP, NLU, and broader ML use cases.

  • Azure infrastructure: operate and integrate Blob Storage, databases, compute resources, MLflow, and Azure AI/ML services.

  • CI/CD & MLOps: implement automated deployment, testing, monitoring, and promotion gates.

  • Own production readiness: ensure pipeline reliability, observability, performance, and data quality end-to-end.

Work Conditions

  • Type: Full-time & Long-term contract work

  • Start Date: ASAP

  • Location: Remote (99%) in Europe; must be able to travel freely within Europe for workshops.

  • US Time Zone Overlap: Required (2 PM - 6 PM CET)

  • Contract with European LLC

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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