#BETHEDIFFERENCE
If making a difference matters to you, then you matter to us.
Join us, at Wolters Kluwer, and be part of a dynamic global technology company that makes a difference every day. We’re innovators with impact. We provide expert software & information solutions that the world’s leading professionals rely on, in the moments that matter most.
You’ll be supported 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.
A data modeler develops and optimizes Enablon’s conceptual and logical data structures. Enablon has a very rich product ecosystem which is very data centric:
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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, equipments…).
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We want to develop and maintain data ingestion and processing systems
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We need to ensure data consistency and accuracy through data validation and cleansing techniques
To succeed in this role, you know how to examine new data system requirements and implement migration models. You have proven experience in data analysis and data modeling, with excellent analytical and problem-solving abilities.
Responsibilities:
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Develop, implement, and optimize conceptual, logical, and physical data models to ensure consistency, accuracy, and efficiency across multiple systems and platforms.
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Collaborate with cross-functional teams, including analysts and other stakeholders, to understand and document data requirements, ensuring models meet business, analytics, and reporting needs.
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Design data models that support seamless integration and data pipelines, facilitating ETL processes across various systems.
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Create detailed data model documentation, including entity-relationship diagrams (ERDs), metadata definitions, data dictionaries, and standards documentation.
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Implement data validation, data governance, and data quality processes to maintain model accuracy and consistency over time.
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Continuously evaluate and refine models to ensure they meet performance requirements and reduce latency.
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Work with data engineers to design data warehouses and data marts that support business intelligence, analytics, and reporting requirements.
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Identify opportunities for improving data models and implement best practices, guidelines, and standards for data modeling to ensure high-quality data architectures.
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Monitor data pipelines and systems for issues and troubleshoot any problems that arise.
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Ensure data security and compliance with relevant regulations and standards.
Requirements:
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Education: Bachelor's degree in information technology or related field
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At least 2 years of experience in a similar role
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Advanced level of English
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Working knowledge of Agile development
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Analyze complex data requirements and dependencies, translating them into robust data models while proactively addressing potential challenges
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Identify issues in data models, ETL workflows, and database queries, and implement solutions to optimize performance and ensure data accuracy
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Proficient in data modeling tools (Can be one of the following: Erwin Data Modeler, IBM InfoSphere Data Architect, Oracle SQL Developer Data Modeler, Toad Data Modeler, or PowerDesigner)
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Model unstructured and semi-structured data (e.g., JSON, XML) for Big Data platforms, using schema-on-read approaches
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Develop models that enable data lineage tracking, providing transparency into data transformations and systems
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Familiar with core data warehousing methodologies (e.g., Kimball, Inmon, Lakehouse, Corporate Information Factory, Data Vault)
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Knowledgeable in advanced techniques, including Slowly Changing Dimensions, Fact and Dimension modeling, Normalization/Denormalization, Temporal Data Modeling, star and snowflake schemas
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Familiar with Software Design concepts: design patterns, event sourcing, algorithms, microservices, web services (SOAP/REST)
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(Nice to have) Understand data lake and data warehousing principles, architectures, and tools (e.g., Snowflake, AzureSQL, CosmosDB, Azure suite)
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(Nice to have) Proficient in Python programming
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(Nice to have) DevOps &Automation: infrastructure as code (Pulumi), CI/CD pipelines (GitHub Workflows)
Our Offer:
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Room for personal development through external, internal training tools and learning and development program #GROW
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Yearly performance bonus based on your seniority
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Referral bonus, meal vouchers, monthly allowance, gift vouchers twice a year
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Corporate Health Insurance
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Mindfulness and Wellbeing programs (Wellbeats, MyQuillibrium, Compsych, Mind & Body webinars)
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Up to 28 days of annual leave based on seniority
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We have a strong Work from Home culture and take into consideration punctual needs and more
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Flexible working schedule
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What We Do
Wolters Kluwer (www.wolterskluwer.com) is a global leader in information services and solutions for professionals in the health, tax and accounting, risk and compliance, finance and legal sectors. We help our customers make critical decisions every day by providing expert solutions that combine deep domain knowledge with specialized technology and services.
Founded in 1836 and headquartered in Alphen aan den Rijn, the Netherlands, the company serves customers in over 180 countries, maintains operations in over 40 countries and employs 18,600 people worldwide.
Wolters Kluwer reported 2019 annual revenues of €4.6 billion. Listed on Euronext Amsterdam, Wolters Kluwer shares (WKL) are included in the AEX and Euronext 100 indices. Wolters Kluwer has a sponsored Level 1 American Depositary Receipt program. The ADRs are traded on the over-the-counter market in the U.S. (WTKWY).
