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- Tasks: Manage data requirements and collaborate on innovative data architecture projects.
- Company: Leading investment bank with a focus on technology and collaboration.
- Benefits: Hybrid work model, onsite gym, restaurant, and career progression opportunities.
- Other info: Flexible working arrangements to support your work-life balance.
- Why this job: Join a diverse team and make an impact in the financial services industry.
- Qualifications: Experience in data analysis, SQL, and strong communication skills.
The predicted salary is between 28800 - 48000 £ per year.
Job Opportunity
Data Engineer – IT Asset & Configuration Management
Location: Glasgow (Hybrid 3 days a week in the office)
Tenure: 1 Year
Industry: Investment Banking
Key Responsibilities
- Elicit, document, and actively manage data requirements across multiple business and technical functions
- Perform cross‑functional analysis to identify synergies, inconsistencies, and gaps in data management processes
- Collaborate closely with data architects and platform owners to identify and validate technical implementation options
- Conduct data lineage and discrepancy analysis across systems, ensuring consistency and compliance with standards
- Serve as a liaison between business stakeholders and technology teams
- Develop and maintain data documentation and deliverables
- Track milestones, raise risks/issues, and support change control processes
- Support deployment and adoption of data architecture initiatives across programs
Skills & Experience Required
- Hands‑on experience in data or business analysis roles
- Strong hands‑on experience with SQL and relational databases
- Some experience working with ServiceNow, especially CMDB/AMDB
- Experience in data architecture, data lineage analysis, and IT inventory systems
- Ability to interpret technical documentation, scripts, and configuration files
- Familiarity with ITSM and ITIL frameworks
- Strong communication, collaboration, and problem‑solving skills
- Comfortable working in agile and waterfall environments
- Highly organized with excellent time management and attention to detail
- Self‑motivated and able to work independently across distributed teams
Desirable Qualifications (Not Mandatory)
- Background in the financial services industry
- Agile or program management certifications
- ServiceNow Administrator or Developer certifications
- ITIL certification
- Familiarity with data visualization or analytics tools
Work Environment & Culture
Based in the centrally located Glasgow office, this role offers an exceptional working environment with access to an onsite gym, restaurant, and career progression opportunities. You\’ll join a diverse and inclusive culture that values integrity, excellence, and collaboration. Flexible working arrangements are available to support work‑life balance.
Inclusive Recruitment
We are committed to creating an inclusive recruitment experience. If you have a disability or long‑term health condition and require adjustments to the recruitment process, our Adjustment Concierge Service is here to support you. Please reach out to us at adjustments@robertwalters.com to discuss further.
Equal Opportunity
This position is being recruited on behalf of our client through our Outsourcing service line. Resource Solutions Limited, trading as Robert Walters, acts as an employment business and agency, partnering with top organizations to help them find the best talent. We welcome applications from all candidates and are committed to providing equal opportunities.
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Big Data Engineer/ Modeler employer: Robert Walters
Contact Detail:
Robert Walters Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Big Data Engineer/ Modeler
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data game. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving SQL and data analysis. Share it on platforms like GitHub or your personal website to give potential employers a taste of your expertise.
✨Ace the Interview
Prepare for those interviews by practising common questions related to data engineering and your experience with tools like ServiceNow. Be ready to discuss how you've tackled challenges in past roles and how you can bring value to their team.
✨Apply Through Us!
We’ve got your back! Check out our website for the latest job openings and apply directly. It’s a great way to ensure your application gets noticed, and we’re here to support you every step of the way!
We think you need these skills to ace Big Data Engineer/ Modeler
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Big Data Engineer role. Highlight your hands-on experience with SQL and any relevant projects that showcase your data analysis skills. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your skills can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Collaboration Skills: Since this role involves working closely with various teams, make sure to highlight your collaboration and communication skills in your application. Share examples of how you've successfully worked with others to achieve common goals.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our fantastic team at StudySmarter!
How to prepare for a job interview at Robert Walters
✨Know Your Data Inside Out
Make sure you brush up on your SQL and relational databases. Be ready to discuss your hands-on experience and how you've used these skills in previous roles. Prepare examples of data management processes you've improved or streamlined.
✨Understand the Business Context
Familiarise yourself with the investment banking industry and the specific challenges it faces regarding data management. This will help you articulate how your skills can directly benefit the company and its stakeholders.
✨Showcase Your Collaboration Skills
Since this role involves liaising between business stakeholders and tech teams, be prepared to share examples of how you've successfully collaborated in cross-functional teams. Highlight your communication style and problem-solving approach.
✨Prepare for Technical Questions
Expect questions about data lineage, discrepancy analysis, and IT inventory systems. Review any relevant technical documentation or scripts beforehand, so you can confidently discuss your understanding and experience with these concepts.