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UCB

Data Designer

UCB is hiring a Data Designer in Brussels, Belgium. Level rates it ; you can apply on UCB.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • The posting mentions Databricks among its tools and skills.
  • Level classes it as a senior role.
  • UCB has 338 other open roles on Level.
  • Posted in the last few days.

AI in this role

Databricks

Make your mark for patients

We are looking for a Data Designer who is analytical, collaborative, and solutions-oriented to join our Digital Technology Strategy and Solutions team, based in our HQ in Brussels, Belgium.

About the role

As a Data Designer, you will design and lead the implementation of scalable, reusable and AI-ready data solutions supporting reporting, analytics and advanced analytical use cases.

You will translate complex business and domain requirements into robust data products, data models and technical designs, working at the intersection of domain, architecture, and engineering. This is a hands-on technical leadership role where you will guide delivery teams and help ensure solutions follow consistent engineering, data modeling, architecture, and governance standards.

Who you’ll work with

You will join a growing and evolving team shaping data solutions and technical foundations used across major transformation programs.

You will work closely with Data Architects, Data Engineers, Product Owners, domain experts, and delivery partners. While this is not a people-management role, you will provide technical leadership to project teams, influence solution design and help establish consistent engineering and data modeling practices across projects.

You will also play an important role in making complex technical concepts understandable to business stakeholders and connecting business needs with pragmatic technical solutions.

What you’ll do

  • Lead the end-to-end technical design of scalable analytics and AI-ready data solutions
  • Translate business and domain requirements into reusable data products, technical designs and scalable data structures
  • Design and maintain conceptual, logical, physical and semantic data models
  • Collaborate with business stakeholders, Data Architects and Data Engineers to determine appropriate solution designs
  • Guide the implementation of data pipelines, orchestration patterns and reusable engineering frameworks
  • Apply and promote common data modeling and engineering standards, reusable patterns and approved business definitions
  • Optimize solutions for performance, scalability, reusability, data quality, integrity and consistency
  • Ensure solutions and data products align with enterprise architecture, governance and technology standards
  • Provide technical leadership and coaching to delivery teams and contribute to the continuous improvement of engineering practices

Interested? For this role, we’re looking for the following education, experience, and skills

  • Bachelor's or master's degree in computer science, data management, information technology, engineering or a related discipline
  • 5+ years of relevant experience in data engineering, data solution design, or data modeling, with strong hands-on experience designing analytical data solutions
  • Strong knowledge of conceptual, logical, physical, and semantic data modeling and the design of reusable data products
  • Practical experience with Snowflake and/or Databricks and familiarity with data modeling tools such as SQL Database Modeler or equivalent
  • Good understanding of data pipelines, transformation and orchestration patterns, alongside metadata management, data quality and lineage
  • Ability to translate complex technical concepts into clear messages for business stakeholders while contributing confidently to technical discussions
  • A collaborative and consulting-oriented mindset, with the ability to guide technical teams, influence solution decisions and establish consistent ways of working
  • Fluent in English

Are you ready to ‘go beyond’ to create value and make your mark for patients? If this sounds like you, then we would love to hear from you!

About us
UCB is a global biopharmaceutical company, focusing on neurology and immunology. We are over 9.000 people in all four corners of the globe, inspired by patients and driven by science.

Why work with us?
At UCB, we don’t just complete tasks, we create value. We aren’t afraid to push forward, collaborate, and innovate to make our mark for patients. We have a caring, supportive culture where everyone feels included, respected, and has equal opportunities to do their best work. We ‘go beyond’ to create value for our patients, and always with a human focus, whether that’s on our patients, our employees, or our planet. Working for us, you will discover a place where you can grow, and have the freedom to carve your own career path to achieve your full potential.

At UCB, we’ve embraced a hybrid-first approach to work, bringing teams together in local hubs to foster collaborative curiosity. Unless expressly stated in the description or precluded by the nature of the position, roles are hybrid with 40% of your time spent in the office.

UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable laws.

Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on EMEA-Reasonable_Accommodation@ucb.com. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.

How we rate this

Data Designer at UCB rates 21 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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