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Data Engineer

1 miesiąc temu


Warszawa, mazowieckie, Polska ERGO Technology & Services Pełny etat

About UsERGO Technology & Services S.A. (ET&S S.A.) was established in January 2021 following the integration of ERGO Digital IT and Atena into one entity, leveraging both companies’ strengths and best practices. As a part of ERGO Technology & Services Management AG, the technology holding of ERGO Group AG, we support millions of internal and external customers with state-of-the-art IT solutions to everyday problems.In October 2022, ET&S S.A. expanded its scope of operations by creating a Business Services unit to contribute in a new way to the growth of ERGO’s business. Acting as a co-partner and internal consultant, it adds non-IT value and supports the development of the entire ERGO Group, currently offering skills in reporting, analysis, actuarial, and input management. We are committed to fostering innovation and meeting the evolving needs of our clients worldwide.Discover how we implement AI, IoT, Voice Recognition, Big Data science, advanced mobile solutions, and business-related services to anticipate and address our customers’ future needs.About the roleWe work for the financial industry and you will play a crucial role in a DevOps approach designing, building, and maintaining the infrastructure that underlies data-driven decision-making. Your primary responsibility is to ensure the efficient and reliable flow of data from various sources to support business intelligence, trading and risk management.The tools and frameworks we use: Azure OpenAI, Azure Machine Learning, Cognitive Services, Azure Data Factory, Azure Blob Storage, Azure DevOps, AKS, Azure DevOps, Databricks, Python, Docker, Kubernetes/AKS. Javascript, .Net, MLflow (Databricks).How you will get the job donedesigning and implementing data models and architectures that support financial data managementdeveloping and maintaining ETL processes to integrate data from diverse sources, including market data feeds, customer information systems, and transactional databasesensuring data quality, security, and compliance with regulatory requirementscollaborating with business owners, data analysts and scientists, SW engineers, and DevOps specialists to support the development of predictive models and business intelligence toolsoptimizing data processing workflows for performance, scalability, and reliabilityworking in an international Scrum teamSkills and experience you will needfluency in Englishgood knowledge of cloud solutions, preferably Azure Databricksstrong SQL skillsknowledge of ETL processes/programmingcommunicative and open-minded person who is not afraid of challengesgreat understanding of Python & PySpark, and commercial use of itat least 3 years of experience as a Software Engineer using ML Ops, AI Model Operationalization, Python GenAIworking experience with Javascript and .NetPerks & Benefits Let's be healthyMedical package, sports card, and numerous sports sections – these are some of the benefits that help our employees stay in good shape.Let's be balancedWork-life balance is a key aspect of a healthy workplace. We offer our employees flexible working hours, a confidential employee assistant program, as well as the possibility of remote working. However, staying at home with our in-office gaming room and dog-friendly office in Warsaw won’t be easy.Let's be smartWe organize numerous workshops and training courses. Thanks to hackathons and meetups, our specialists share their expertise with others. Additionally, we have a wide range of digital learning platforms and language courses.Let's be responsibleEach year, we participate in several CSR activities, during which, together with our colleagues, we do our best to create a better future.Let's be funCompany-wide bike races and soccer matches, film marathons in our cinema room or other engaging team-building activities – we got it coveredLet's be diverseEvery team member is valued, regardless of gender, nationality, religious beliefs, disability, age, and sexual orientation or identity. Your qualifications, experience, and mindset are our greatest benefit