Data Engineer( 3+ years exp in Snowflake and Informatica)

You will be part of the Wolters Kluwer Financial Shared Services (FSS) organization, supporting the Wolters Kluwer Legal & Regulatory Division in Europe. Your role involves developing and maintaining data pipelines and delivering data analytics and insights to drive informed decision-making, enhancing operational efficiency across the organization. Primary tools utilized will be Snowflake and Informatica. Your responsibilities include data engineering tasks such as assembling large, complex datasets, identifying and implementing process improvements, building infrastructure for data extraction and transformation, developing analytical tools for actionable insights, collaborating with stakeholders to support data infrastructure needs, managing data integration using Snowflake and Informatica, and maintaining existing ETL jobs. Effective stakeholder management is crucial, requiring you to foster positive and professional relationships in the workplace to ensure effective collaboration and communication. Continuous learning is encouraged, as you will need to stay updated with the latest tools and technologies available for data analytics and suggest more efficient ways of processing reports. Key skills and experience required for this role include a Bachelor's degree in data science/analytics, finance, accounting, economics, or Engineering in Computer Science or related quantitative field, proficiency in Informatica ETL software and Snowflake dataplatform, strong SQL skills, knowledge of data structures, transformations, and operations, analytical and communication skills, proficiency in English, and experience with cloud platforms such as Azure or AWS will be a plus. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.,