Data Engineer (Machine Learning), Hibrido

Allianz Group
Barcelona, Spain
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
5 years minimum
Working hours
Regular working hours
Languages
English

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Automation of Tests Unit Testing Microsoft Azure Software as a Service Databases Continuous Integration Data Cleansing Information Engineering Database Applications Github
+17 more
Python (Programming Language) Machine Learning Elearning Software Deployment Management of Software Versions Data Logging Cloud Platform System Generative AI Containerization Scikit Learn Kubernetes Information Technology Data Analytics Xgboost Machine Learning Operations Docker Jenkins

Job description

This job is with Allianz Commercial, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community.** IT & Tech Engineering Professional Non-Executive Allianz Services Full-Time Permanent Allianz Services is where that legacy meets the future.We deliver specialized services to clients within Allianz Group, powered by AI, advanced analytics, and a mindset that refuses to stand still.From core insurance operations to engineering and consulting services, we reimagine how insurance works.We shape it.Are you passionate about data and AI and eager to see how they transform the world’s leading insurance brand?Join Allianz Services as a Data & AI Engineer (m/f/d) and dive into impactful data science and engineering projects within our Az Services Spain Engineering Hub.Collaborate with a dynamic, international team to design, build, and productionize models and data-driven systems that deliver measurable business outcomes.Partner closely with the Business Owner to translate goals into working solutions with clear SLAs, governance, and ROI to truly “Make AI Happen.”Design and implement machine learning models and data-driven applications, with a focus on robust system design and clean, maintainable pipelines.Develop and deploy a diverse range of models, moving comfortably between classical machine learning (e.g., LightGBM, XGBoost, Scikit-Learn) for structured data and other modeling approaches for unstructured or text-based data as needed.Design evaluation frameworks and feedback loops, including offline/online testing and regression checks, to ensure model accuracy and reliability over time.Create secure integrations between models and internal APIs, databases, and SaaS systems, applying REST principles and API versioning so consumers keep working as model behavior evolves, and returning structured, validated response schemas rather than raw model output.Deploy new model versions behind stable, versioned endpoints, backed by automated testing suited to non-deterministic outputs (contract tests, output validation, regression benchmarks) and containerized deployments (Docker, Kubernetes).Optimize services for latency, reliability, and cost-efficiency, and build in the logging, monitoring, and traceability needed to run them confidently in production.Write high-quality, testable code and maintain CI/CD pipelines; 5-7 years of professional experience delivering end-to-end ML or data engineering projects, from data preparation through production deployment and monitoring.~ Strong Python programming and software engineering fundamentals (unit testing, type hinting, packaging).~ Solid understanding of the machine learning product lifecycle and hands-on experience with MLOps practices.~ Proficiency in CI/CD automation (GitHub Actions, Jenkins) and containerization (Docker, Kubernetes).~ Hands-on experience with at least one major cloud platform (Azure preferred); A demonstrable ability to coordinate with cross-functional teams and the self-motivation to drive delivery within an agile environment.~ Good level of English (required); ~ We highly welcome candidates with a genuine interest and affinity for Information Technology (IT) and Generative Artificial Intelligence (GenAI), as these attributes are considered valuable assets to our team.We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl.We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location).From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered.Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach.Allianz Group is one of the most trusted insurance and asset management companies in the world.At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all.The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture.We therefore welcome applications regardless of ethnicity or cultural Internal background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.

Requirements

Write high-quality, testable code and maintain CI/CD pipelines; 5-7 years of professional experience delivering end-to-end ML or data engineering projects, from data preparation through production deployment and monitoring. ~ Strong Python programming and software engineering fundamentals (unit testing, type hinting, packaging). ~ Solid understanding of the machine learning product lifecycle and hands-on experience with MLOps practices. ~ Proficiency in CI/CD automation (GitHub Actions, Jenkins) and containerization (Docker, Kubernetes). ~ Hands-on experience with at least one major cloud platform (Azure preferred); A demonstrable ability to coordinate with cross-functional teams and the self-motivation to drive delivery within an agile environment. ~ Good level of English (required); ~ We highly welcome candidates with a genuine interest and affinity for Information Technology (IT) and Generative Artificial Intelligence (GenAI), as these attributes are considered valuable assets to our team.

Benefits & conditions

We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location).

About the company

This job is with Allianz Commercial, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. ** | IT & Tech Engineering | Professional | Non-Executive | Allianz Services | Full-Time | Permanent Allianz Services is where that legacy meets the future. We deliver specialized services to clients within Allianz Group, powered by AI, advanced analytics, and a mindset that refuses to stand still. From core insurance operations to engineering and consulting services, we reimagine how insurance works. We shape it. Are you passionate about data and AI and eager to see how they transform the world’s leading insurance brand?, From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered. Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach. Allianz Group is one of the most trusted insurance and asset management companies in the world. At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture.We therefore welcome applications regardless of ethnicity or cultural Internal background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.

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Apply on www.buscojobs.com.es
Prepare application

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