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- Tasks: Design and maintain data models for analytics and operations in a dynamic team.
- Company: GKN Automotive is a global leader in automotive technology with a rich history since 1759.
- Benefits: Enjoy a hybrid work environment, competitive salary, and diverse project opportunities.
- Why this job: Join a forward-thinking company that values innovation and offers growth potential.
- Qualifications: Bachelor’s degree in computer science or related field; expertise in data modelling required.
- Other info: GKN Automotive champions diversity and provides accommodations for individuals with disabilities.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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About GKN Automotive
GKN Automotive is a world-leading global automotive technology company at the forefront of innovation. Its origins date back to 1759 and for the last 70 years it has been putting key technologies into series production.
Job Description
Data Modelling Engineer
About GKN Automotive
GKN Automotive is a world-leading global automotive technology company at the forefront of innovation. Its origins date back to 1759 and for the last 70 years it has been putting key technologies into series production.
We are the trusted partner for most of the world’s automotive companies, specialising in developing, building, and supplying market-leading drive systems and advanced ePowertrain technologies.
GKN Automotive is part of Dowlais Group plc, a specialist engineering group focused on the automotive sector.
WHAT YOU’LL DO:
We are looking for a skilled Data Modelling Engineer to join our Data and Analytics team and play a key role in designing, implementing and maintaining high-quality, business-aligned data models within Microsoft Fabric ecosystem.
In this role, you will focus on translating complex business requirements into scalable and maintainable conceptual, logical, and physical data models.
You will collaborate with a multidisciplinary team of data engineers, data architects, BI developers, and other data experts applying the best practices across various use cases. This position is well-suited for someone with strong data modelling background who enjoys working with modern data tools, solving complex data challenges, and building efficient, maintainable solutions in a collaborative environment.
KEY RESPONSIBILITIES WILL INCLUDE:
- Design and maintain conceptual, logical, and physical data models to meet analytics and operational requirements
- Contribute to the definition of data modeling standards, naming conventions, and design patterns aligned with data governance and architectural principles
- Ensure data models support performance, scalability, and flexibility across the enterprise
- Support the development and enhancement of Data Warehouses, Lakehouse, and Semantic Layers
- Define and document data entities, relationships, metadata, and lineage
- Assist in data quality analysis and root cause identification related to structural data issues
- Collaborate with data engineers, data architects and analysts to ensure models are effectively implemented and optimised, aligned with enterprise architecture, governance policies, and platform standards
WHAT YOU’LL NEED:
- Proven expertise in data modelling techniques (dimensional, normalised, denormalised, star/snowflake schemas) and data warehousing principles, master data management, semantic layer design
- Hands-on experience with data modeling tools (e.g., ER/Studio, Power Designer, etc.)
- Familiarity with Microsoft Azure/Fabric components relevant to modeling: Lakehouse, Data Warehouse, OneLake, Data Factory
- Understanding of metadata management, data catalogs, lineage tracking, and data governance
- Solid knowledge of relational and NoSQL databases (MSSQL, PostgreSQL, etc.)
- Strong problem-solving and analytical skill, effective collaboration and communication skills
- Proven experience in data modelling or data architecture roles as well as experience with enterprise data platform projects, ideally with Azure/Microsoft Fabric
- Bachelor’s degree or equivalent in computer science / information technology, or related field
WHY YOU’LL LOVE WORKING HERE:
- Market-leading global company with lots of potential to grow
- Opportunity to work on versatile projects and learn
- Attractive salary and benefits at a stable and financially healthy company
- Part of a global IT team working in a hybrid capacity
HOW TO APPLY:
Please follow the link on our careers page and submit your resume in English because we are an international environment, and English is our business language.
If you need any adjustments made to support your application, for example, if you require information in different formats, or if you have any accessibility issues, then we have a process in place to support you – please feel free to get in touch with us at accommodations@gknautomotive.com
DEADLINE:
The closing date will be September 17th
GKN Automotive is the market leader in conventional, all-wheel and electrified drive systems and solutions. With a comprehensive global footprint, we design, develop, manufacture and integrate an extensive range of driveline technologies for over 90% of the world’s car manufacturers.
As a global engineering company, innovation is what differentiates us from our competitors and is central to our success. A balance of cultures, ethnicities and genders help bring new ideas and creativity to GKN Automotive. We need people of different backgrounds, with different skills and perspectives to spark originality, imagination and creativeness in our teams around the world.
GKN Automotive is an equal opportunity employer. We treat all our employees and applicants fairly and are committed to ensuring that there is no discrimination or harassment against any employee or qualified applicant on the grounds of age, race, creed, colour, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, or veteran status or any other characteristic protected by law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process. Please contact us to request any such accommodation.
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Data Modelling Engineer employer: GKN Automotive
Contact Detail:
GKN Automotive Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modelling Engineer
✨Tip Number 1
Familiarise yourself with the Microsoft Fabric ecosystem, especially components like Lakehouse and Data Warehouse. Understanding these tools will not only help you in interviews but also demonstrate your commitment to the role.
✨Tip Number 2
Network with current or former employees of GKN Automotive on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Brush up on your data modelling techniques and be prepared to discuss specific projects where you've applied these skills. Real-world examples can set you apart from other candidates.
✨Tip Number 4
Stay updated on the latest trends in data governance and metadata management. Showing that you're knowledgeable about industry standards can impress the hiring team and highlight your proactive approach.
We think you need these skills to ace Data Modelling Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Modelling Engineer position. Tailor your application to highlight relevant experience and skills that align with the job description.
Craft a Strong CV: Your CV should clearly showcase your expertise in data modelling techniques and data warehousing principles. Include specific examples of projects where you've used data modelling tools and worked with Microsoft Azure/Fabric components.
Write a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and GKN Automotive. Discuss how your background and skills make you a perfect fit for the team, particularly in designing and maintaining data models within the Microsoft Fabric ecosystem.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial for a Data Modelling Engineer.
How to prepare for a job interview at GKN Automotive
✨Understand the Company and Its Technologies
Before your interview, take some time to research GKN Automotive and its role in the automotive industry. Familiarise yourself with their products, especially in data modelling and analytics, as this will show your genuine interest and help you align your answers with their goals.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data modelling tools and techniques. Highlight specific projects where you've successfully designed and implemented data models, particularly within Microsoft Azure or Fabric, as this is crucial for the role.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare to discuss how you would approach common data modelling challenges, such as ensuring data quality or optimising models for performance, as these are key responsibilities of the role.
✨Demonstrate Collaboration Skills
Since the role involves working with multidisciplinary teams, be ready to share examples of how you've effectively collaborated with data engineers, architects, and analysts in the past. Emphasise your communication skills and ability to work in a team environment.
