Data Modeller

Antal is a leading recruitment and HR advisory company operating in Poland and the CEE region with around 150 professionals. The role is for a client from the financial sector. The Data Modeller will work on designing and implementing data architectures and models supporting enterprise information management, business intelligence, machine learning, and data science.

• Minimum 3 years of hands-on experience with relational, dimensional, and/or analytic data platforms including RDBMS, dimensional, NoSQL technologies, ETL, and data ingestion protocols
• Experience with MongoDB is advantageous
• Good knowledge of metadata management, data modelling, and related tools such as Erwin or Visual Paradigm
• Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-centre contexts is desired
• Experience in team management, communication, and presentation
• Strong communication skills and good oral English

• Implement business and IT data requirements through new data strategies and designs across all data platforms (application, relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, operations, and machine learning)
• Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual, logical, and physical data models
• Define and govern data modelling and design standards, tools, best practices, and related development for enterprise data models
• Identify architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualizations
• Perform hands-on modelling, design, configuration, installation, performance tuning, and sandbox proofs of concept
• Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks
• Develop conceptual, logical, and physical data models and oversee implementation of RDBMS, operational data stores, application databases, data marts, and data lakes on target platforms (SQL/NoSQL/cloud/on-prem)
• Oversee and govern the expansion of existing data architecture and optimize data query performance using best practices

Informujemy, że administratorem danych jest Antal Sp. z o.o. z siedzibą we Wrocławiu, ul. Gwiaździsta 66. Podanie danych dostępne jest zgodnie z obowiązującymi przepisami. Dane będą przetwarzane do czasu zakończenia rekrutacji oraz na potrzeby ewentualnych roszczeń lub udziału w przyszłych rekrutacjach.