Awin Global
Senior Data Scientist & ML Engineer (f/m/d)
Awin Global, Villa Espana Colonia, Texas, United States
Purpose of position
As a Senior Data Engineer, you will play a pivotal role in our AI/ML workstream, working closely with business teams and data scientists to design, maintain, and improve machine learning applications. Your main responsibilities include managing existing ML workloads and building new batch and on-demand pipelines to support advanced AI/ML models. You will also contribute to developing Generative AI solutions and applications for the emerging Agentic Era. Key Tasks
Design and maintain scalable data pipelines and storage systems for both agentic and traditional ML workloads. Productionise LLM- and agent-based workflows, ensuring reliability, observability, and performance. Build and maintain feature stores, vector/embedding stores, and core data assets for ML. Develop and manage end-to-end traditional ML pipelines: data prep, training, validation, deployment, and monitoring. Implement data quality checks, drift detection, and automated retraining processes. Optimise cost, latency, and performance across all AI/ML infrastructure. Collaborate with data scientists and engineers to deliver production-ready ML and AI systems. Ensure AI/ML systems meet governance, security, and compliance requirements. Mentor teams and drive innovation across both agentic and classical ML engineering practices. Participate in team meetings and contribute to project planning and strategy discussions. Education & Experience
Bachelor or Master’s degree in data science, data engineering, Computer Science with focus on math and statistics. Master’s degree is preferred. At least 5 years experience as AI/ML data engineer undertaking above tasks and accountabilities. Strong foundation in computer science principles and statistical methods. Strong experience with cloud technology (AWS or Azure). Strong experience with creation of data ingestion pipeline and ET process. Strong knowledge of big data tools such as Spark, Databricks and Python. Strong understanding of common machine learning techniques and frameworks (e.g. mlflow). Strong knowledge of Natural language processing (NLP) concepts. Strong knowledge of scrum practices and agile mindset. Skills & Core competences
Strong analytical and problem‑solving skills with attention to data quality and accuracy. Clear communication of technical concepts and effective collaboration across teams. Adaptability to new technologies and a proactive approach to learning and growth. Team‑oriented mindset, working closely with data scientists, AI engineers, and cross‑functional teams. Openness to feedback and collective problem‑solving for continuous improvement. Team player, willing to improve yourself. Our Offer
Flexi-Week and Work-Life Balance : Flexible four‑day Flexi‑Week at full pay with no reduction to your annual holiday allowance. Remote Working Allowance : Monthly allowance to cover part of your running costs and support for setting up your remote workspace. Pension : Additional pension insurance for all employees in Germany. Flexi-Office : International culture and flexibility through Flexi‑Office and hybrid/remote work possibilities across Awin regions. Development : Extensive training suite Awin Academy to cover a wide range of skills for professional and personal growth. Appreciation : Peer‑to‑peer voucher program to thank and reward colleagues. Diversity & Inclusion
Diversity & Inclusion are paramount to us. We happily pursue and hire diverse team members, championing uniqueness and authenticity. Our network of affiliate partnerships is diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.
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As a Senior Data Engineer, you will play a pivotal role in our AI/ML workstream, working closely with business teams and data scientists to design, maintain, and improve machine learning applications. Your main responsibilities include managing existing ML workloads and building new batch and on-demand pipelines to support advanced AI/ML models. You will also contribute to developing Generative AI solutions and applications for the emerging Agentic Era. Key Tasks
Design and maintain scalable data pipelines and storage systems for both agentic and traditional ML workloads. Productionise LLM- and agent-based workflows, ensuring reliability, observability, and performance. Build and maintain feature stores, vector/embedding stores, and core data assets for ML. Develop and manage end-to-end traditional ML pipelines: data prep, training, validation, deployment, and monitoring. Implement data quality checks, drift detection, and automated retraining processes. Optimise cost, latency, and performance across all AI/ML infrastructure. Collaborate with data scientists and engineers to deliver production-ready ML and AI systems. Ensure AI/ML systems meet governance, security, and compliance requirements. Mentor teams and drive innovation across both agentic and classical ML engineering practices. Participate in team meetings and contribute to project planning and strategy discussions. Education & Experience
Bachelor or Master’s degree in data science, data engineering, Computer Science with focus on math and statistics. Master’s degree is preferred. At least 5 years experience as AI/ML data engineer undertaking above tasks and accountabilities. Strong foundation in computer science principles and statistical methods. Strong experience with cloud technology (AWS or Azure). Strong experience with creation of data ingestion pipeline and ET process. Strong knowledge of big data tools such as Spark, Databricks and Python. Strong understanding of common machine learning techniques and frameworks (e.g. mlflow). Strong knowledge of Natural language processing (NLP) concepts. Strong knowledge of scrum practices and agile mindset. Skills & Core competences
Strong analytical and problem‑solving skills with attention to data quality and accuracy. Clear communication of technical concepts and effective collaboration across teams. Adaptability to new technologies and a proactive approach to learning and growth. Team‑oriented mindset, working closely with data scientists, AI engineers, and cross‑functional teams. Openness to feedback and collective problem‑solving for continuous improvement. Team player, willing to improve yourself. Our Offer
Flexi-Week and Work-Life Balance : Flexible four‑day Flexi‑Week at full pay with no reduction to your annual holiday allowance. Remote Working Allowance : Monthly allowance to cover part of your running costs and support for setting up your remote workspace. Pension : Additional pension insurance for all employees in Germany. Flexi-Office : International culture and flexibility through Flexi‑Office and hybrid/remote work possibilities across Awin regions. Development : Extensive training suite Awin Academy to cover a wide range of skills for professional and personal growth. Appreciation : Peer‑to‑peer voucher program to thank and reward colleagues. Diversity & Inclusion
Diversity & Inclusion are paramount to us. We happily pursue and hire diverse team members, championing uniqueness and authenticity. Our network of affiliate partnerships is diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.
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