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- Tasks: Design and maintain data models for trading and financial systems.
- Company: Global leader in IT data engineering with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of data in finance.
- Qualifications: 5-10 years in data modeling with strong SQL skills required.
- Other info: Exciting projects in Amsterdam with a collaborative work culture.
The predicted salary is between 48000 - 72000 £ per year.
We are currently supporting a global end client of ours in their search for an IT Data Engineering Expert. You will be responsible for the design, documentation, and maintenance in the risk canonical schemas and data relationships, supporting the Dev Lead and ensuring a scalable, traceable and consistent model.
Start: ASAP
Location: Amsterdam, The Netherlands
Duration: 12+ months
Language: English speaking
Role/Responsibilities
- Must have 5–10 years in data modeling for commodities, trading, or financial systems.
- Must have advanced data modeling (3NF/6NF, canonical modeling, lineage).
- Strong SQL comprehension (read + interpret).
- Strong conceptual and logical modeling capabilities.
- Design and maintain the canonical data schema for trades, positions, P&L, prices, valuation, and their entity relationships.
- Lead conceptual/logical data modeling for physical/financial commodities that support multiple business and regions.
- Ensure strong referential integrity, historical versioning, and lineage across ingestion and transformation flows.
- Familiarity with trading lifecycle, physical flows, and pricing mechanics.
- Experience with SAP, CTRMs, or similar systems is beneficial.
- Strong communication skills.
If you are interested, please apply now and share your CV.
Data Modeler employer: Trades Workforce Solutions
Contact Detail:
Trades Workforce Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeler
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with commodities or trading. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data models and projects you've worked on. This will give potential employers a clear picture of what you can bring to the table, especially in areas like canonical modeling and SQL.
✨Tip Number 3
Ace the interview! Brush up on your knowledge of the trading lifecycle and be ready to discuss how you've ensured referential integrity and historical versioning in your past roles. Confidence and clarity are key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Modeler
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data modeling, especially in commodities and trading. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Show Off Your SQL Skills: Since strong SQL comprehension is a must-have, include specific examples of how you've used SQL in your previous roles. We love seeing practical applications of your skills, so let us know what you can do!
Highlight Your Communication Skills: Strong communication is key for this role. In your application, mention instances where you've effectively collaborated with teams or led discussions. We want to know how you can contribute to our team dynamics!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Don’t miss out on this opportunity!
How to prepare for a job interview at Trades Workforce Solutions
✨Know Your Data Models
Make sure you brush up on your data modeling techniques, especially 3NF/6NF and canonical modeling. Be ready to discuss how you've applied these in past projects, particularly in commodities or trading systems.
✨SQL Skills on Point
Since strong SQL comprehension is a must, practice reading and interpreting complex SQL queries. You might be asked to solve a problem on the spot, so being comfortable with SQL will give you a leg up.
✨Understand the Trading Lifecycle
Familiarise yourself with the trading lifecycle and pricing mechanics. Being able to speak knowledgeably about these topics will show that you understand the context of your role and can contribute effectively.
✨Communicate Clearly
Strong communication skills are essential, so practice articulating your thoughts clearly and concisely. Prepare to explain your previous experiences and how they relate to the responsibilities of the role, ensuring you convey your ideas effectively.
