Senior Data Engineer

<p><b>#BETHEDIFFERENCE</b></p><p><b>If making a difference matters to you, then you matter to us.</b></p><p></p><p>Join us, at <b>Wolters Kluwer</b>, and be part of a dynamic global technology company that makes a difference every day. We’re innovators with impact. We provide expert software &amp; information solutions that the world’s leading <span><span><span><span><span>professionals rely</span></span></span></span></span> on, in the moments that matter most.</p><p><span><span><span><span><span>You’ll be supported</span></span></span></span></span> by collaborative colleagues who share a purpose. We are 21,000 people unique in our dreams, life stories, abilities, and passions who come together every day with one ambition: to make a difference.​ We do our best work together, connecting to create new innovations with impact.</p><p></p><p><b>About the Role:</b></p><p></p><p><span><span>A data </span><span>engineer</span><span> develops</span><span> and</span><span> </span><span>optimize</span><span>s</span><span> </span><span>Enablon’s conceptual and logical data systems. Enablon has </span><span>a very rich</span><span> product ecosystem which is very data centric:</span></span><span> </span></p><ul><li><p><span><span>Our systems need to share data to support joint scenarios where products interact with each other and share the same data referential (locations, sites, organization, </span><span>equipments</span><span>)</span></span></p></li></ul><ul><li><p><span><span>We want </span><span>to develop and </span><span>maintain</span><span> data ingestion and processing systems</span></span><span> </span></p></li></ul><ul><li><p><span><span>W</span><span>e need to ensure data consistency and accuracy through data validation and cleansing techniques</span></span><span> </span></p></li></ul><p><span> </span></p><p><span><span>To succeed in this role, you will have to</span><span> how to examine new data system requirements and implement migration models. </span></span></p><p></p><p><span><span>You will </span><span>work together with</span><span> others in solving complex technical problems</span><span>. You will </span><span>use analytical thought to exercise judgement and </span><span>identify</span><span> innovative solutions</span><span>. He/she w</span><span>orks independently</span><span> –</span><span> wit</span><span>h </span><span>guidance in </span><span>more</span><span> complex situations</span><span> – to </span><span>impact</span><span> </span><span>the achievement of project </span><span>objectives</span><span>.</span><span> You will be </span><span>guided by technical and professional standards and guidelines</span><span>.</span></span><span> </span></p><p></p><p><b><span><span>Responsibilities:</span></span></b></p><ul><li><p><span><span>Design, develop, and </span><span>maintain</span><span> efficient ETL processes to extract, transform, and load data from various sources </span><span>using tools like Snowflake</span></span></p></li></ul><ul><li><p><span><span>Oversee</span><span>s</span><span> the migration of data from legacy systems to </span><span>new solutions</span></span><span> </span></p></li></ul><ul><li><p><span><span>Design and implement data models to support analytics and reporting requirements</span></span></p></li></ul><ul><li><p><span><span>Implement data quality checks and validation processes to ensure data accuracy and completeness</span></span></p></li></ul><ul><li><p><span><span>Optimize</span><span> data processing workflows and queries to improve performance and reduce latency</span></span></p></li></ul><ul><li><p><span><span>Work closely with analysts, and other stakeholders to understand data requirements and deliver solutions</span></span></p></li></ul><ul><li><p><span><span>Monitor data pipelines and systems for issues and troubleshoot any problems that arise</span></span></p></li></ul><ul><li><p><span><span>Ensure data security and compliance with relevant regulations and standards</span></span></p></li></ul><ul><li><p><span><span>Identify</span><span> opportunities for improving data processes and implement best practices</span></span></p></li></ul><p></p><p><b><span><span>Expected outcomes (accountability)</span></span><span> </span></b></p><ul><li><p><span><span>Install</span><span>s</span><span> and organize</span><span>s</span><span> information systems to guarantee </span><span>feature completeness</span></span><span> </span></p></li></ul><ul><li><p><span><span>Ensure all ETL pipelines are running smoothly, with </span><span>timely</span><span> delivery of data</span></span></p></li></ul><ul><li><p><span><span>Continuously </span><span>monitor</span><span> and improve the performance of data processing workflows</span></span></p></li></ul><p></p><p><b><span>Requirements:</span></b></p><ul><li><p><span><span>Education:</span></span><b><span> </span></b><span>Bachelor's degree in information technology<span> or related field</span></span><span> </span></p></li><