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For Companies At a Glance
- Tasks: Design and model data architectures to support trading operations in a dynamic environment.
- Company: Join a leading global Energy Trading company with a focus on innovation.
- Benefits: Long-term contract, competitive pay, and opportunities for professional growth.
- Why this job: Make a real impact in the energy sector while working with cutting-edge technology.
- Qualifications: Experience in trading, strong data modelling skills, and familiarity with Azure.
- Other info: Collaborative office environment in Central London, 3 days a week.
The predicted salary is between 54000 - 84000 £ per year.
An exciting opportunity for a Senior Data Architect with Trading experience and strong data modelling skills to join a global Energy Trading company on a long term contract basis.
Contract length: 12 months initially with extensions.
Location: In‑Office Central London, 3 days a week.
Job Description Summary
Ensures the business value of IT solutions is maximised by applying knowledge of the business needs and opportunities, the existing portfolio of IT applications, and the current and emerging technology and IT service capabilities. Encompasses the definition and realisation of architecture designs, models and viewpoints across various lenses such as business process and data management, including initiation, planning, execution, monitoring and controlling architecture activities within agreed parameters of cost, time and quality to meet identified business objectives.
Responsibilities
- Collaborate with business and IT stakeholders to capture and model a data landscape that supports business interests while enabling effective IT management of data.
- Balance technical aspects, organisational alignment, compliance and the evolving data landscape.
- Plan, execute, monitor and control architecture activities to meet business objectives.
Qualifications
- Extensive Trading domain knowledge, ideally within commodities, trading, supply chain and logistics, commercial finance, utilities.
- Very strong data modelling skills, ideally with Erwin or PowerDesigner.
- Strong Azure environment experience; AWS or GCP experience acceptable if substantial in commodity trading.
- Positive attitude, self‑starter, logical thinker, quick learner, strong initiative and excellent communication, interpersonal and presentation skills.
Equal Opportunity
We believe in equality of opportunity for all job applicants regardless of gender, marital status, race, colour, nationality, ethnic origin, creed or religion, disability, sexual orientation or age.
Senior Data Architect in England employer: Eaglecliff Recruitment
Contact Detail:
Eaglecliff Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Architect in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the energy trading sector and let them know you're on the lookout for a Senior Data Architect role. You never know who might have the inside scoop on opportunities or can refer you directly.
✨Tip Number 2
Get your online presence sorted! Make sure your LinkedIn profile is up-to-date and showcases your trading experience and data modelling skills. Engage with relevant content and connect with industry professionals to boost your visibility.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've tackled data challenges in the past, especially in trading environments. Practice common interview questions to build your confidence.
✨Tip Number 4
Don't forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it shows your enthusiasm for joining our team!
We think you need these skills to ace Senior Data Architect in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your trading experience and data modelling skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior Data Architect position. Share your passion for data architecture and how you can contribute to our team.
Showcase Your Technical Skills: We’re looking for strong data modelling skills, especially with tools like Erwin or PowerDesigner. Make sure to mention your experience with Azure, AWS, or GCP in your application to stand out!
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 this exciting opportunity!
How to prepare for a job interview at Eaglecliff Recruitment
✨Know Your Data Inside Out
Make sure you brush up on your data modelling skills, especially with tools like Erwin or PowerDesigner. Be ready to discuss how you've applied these skills in previous roles, particularly in the trading domain. This will show that you not only understand the technical side but also how it fits into the business landscape.
✨Understand the Trading Landscape
Familiarise yourself with the energy and commodities trading sector. Research current trends, challenges, and technologies being used. This knowledge will help you engage in meaningful conversations during the interview and demonstrate your genuine interest in the role.
✨Showcase Your Collaboration Skills
Since the role involves working closely with both business and IT stakeholders, prepare examples of how you've successfully collaborated in the past. Highlight your communication and interpersonal skills, as these are crucial for balancing technical aspects with organisational needs.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data architecture and management. Practice articulating your thought process clearly and logically. This will showcase your ability to plan, execute, and monitor architecture activities effectively.