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Data modeler engineer

Madrid
Indefinido
Amaris Consulting
Publicada el Publicado hace 21 hr horas
Descripción

Overview Job description
Take your career to the next level with Amaris Consulting as a Senior Data Modeler! Join an international team, thrive in a global group with €800M turnover and over 1,000 clients worldwide, and enjoy an agile environment. We are looking for an expert in data modeling, with experience leading the definition and governance of complex enterprise data models, and a passion for driving excellence in data management and exploitation.
WHAT WOULD YOU NEED?
Qualifications Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
6+ years of experience in data modeling, with a strong focus on conceptual and logical data modeling in complex enterprise environments.
Proven experience in defining, documenting, and governing large-scale Core Data Models.
Deep understanding of various data modeling techniques (ERD, Dimensional Modeling, Anchor Modeling).
Strong knowledge of data governance and data quality principles.
Expert proficiency with data modeling tools (Erwin, Sparx Enterprise Architect, SQL Developer Data Modeler, ER/ Studio).
Solid understanding of database technologies (relational, NoSQL) and data warehousing concepts.
Experience with data integration patterns and technologies (ETL / ELT).
Excellent analytical, problem-solving, and communication skills.
Ability to translate complex technical concepts into clear and concise language for both technical and non-technical audiences.
Proven ability to work effectively in a collaborative team environment and influence stakeholders at all levels.
Experience in an IT company specializing in data platforms is a significant plus.
C1 level of English
Live in Valencia
Responsibilities Lead the definition, design, and evolution of the company’s Core Data Model (CDM), ensuring alignment with strategic objectives.
Establish and maintain robust governance processes, version control, and change management for the CDM.
Develop comprehensive documentation for the CDM: conceptual, logical, and physical models, data dictionaries, and data flow diagrams.
Collaborate with business stakeholders to formalize requirements and translate them into clear, accurate data models.
Facilitate workshops and interviews to elicit detailed data requirements and resolve ambiguities.
Act as the primary arbitrator for change requests to the CDM, evaluating impacts and negotiating with stakeholders.
Work closely with the data platform team to ensure the CDM enables efficient and effective data exploitation.
Design models optimized for data warehousing, analytical reporting, and advanced analytics use cases.
Provide guidance and support to data engineers and data scientists on best practices for leveraging the CDM.
Promote data modeling best practices and standards across the organization.
Mentor junior data modelers and contribute to the growth of data modeling expertise within the company.
Why us? Join our dynamic team of talented people and discover a world full of growth and opportunity. Here’s what we offer:
Rapid growth through a personalized career path and salary assessment. 70% of our senior leaders started in entry-level positions.
Improve your skills through our Technology Academy catalogue, Udemy platform, language classes, webinars, and workshops.
Take control of your training with a personal annual budget and company-paid certifications.
Enjoy flexible policies, remote work options, and excellent social benefits such as transport and restaurant tickets, childcare support, and private health insurance.
Benefit from our WeCare programme, which supports employees in critical situations.
Unlock your full potential, both professionally and personally.
Amaris Consulting prides itself on being an equal opportunity employer. We are committed to promoting diversity within the workforce and creating an inclusive work environment. To this end, we welcome applications from all qualified candidates, regardless of gender, sexual orientation, race, ethnicity, creed, age, marital status, disability, or other characteristics.

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