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- Tasks: Join us as a Data Modeller to support an exciting 6-month project in asset management.
- Company: Work with a leading Life and Pensions client in the UK.
- Benefits: Enjoy flexible working options and the chance to enhance your skills in a dynamic environment.
- Why this job: This role offers hands-on experience with cutting-edge data technologies and methodologies.
- Qualifications: Experience in Financial Services, data modelling tools, and Agile methodologies is essential.
- Other info: This position is inside IR35, ensuring compliance and security for contractors.
The predicted salary is between 36000 - 60000 £ per year.
Asset Management Data Modeller
6 Month Contract
Inside IR35
Based anywhere in the UK
Our UK leading Life and Pensions client require a Data Modeller to help support on an exciting project for an initial 6-month contract.
Key Responsibilities:
- Experience within Financial Services and Asset Management
- Excellent working knowledge of standard data modelling tools (e.g. Erwin)
- Experience with datasets relating to investment, asset data, especially derivatives
- Good stakeholder management and engagement skills
- Knowledge of Agile methodologies and tooling to support agile delivery of projects (e.g. Jira/Confluence)
- Understanding of Data Warehouse and/or Data Lake and/or Data Lakehouse
- Experience with multiple data storage types and technologies in data warehouse and data lake solutions and how to model data for efficient usage of them. Examples include relational DBMS (e.g. Postgress, Oracle ), Hadoop, NoSQL(E.g. Dynamo), Columnar DBs (E.g. Amazon Redshift), Graph DBs (e.g. Neptune), cloud object storage (E.g. Amazon S3), cloud DB as a service (e.g. Amazon RDS)
- Understanding of architecture and design concepts for ETL/ELT solutions utilising a range of tooling (examples include Informatica, Python, ETLeap, AWS Data pipeline)
- Understanding of architecture and design concepts for data exploitation solutions and technologies includes Analytics (E.g. R & Python), Reporting (E.g. Quicksight, Tableau, Qlik, Power BI) & APIs
- Demonstrable expertise in the areas of data modelling in large complex IT estates, implementation of multiple data architectures and integration of Data Management/Governance tooling
If this role sounds of interest, please apply and I will call you to discuss.
Asset Management Data Mod employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Asset Management Data Mod
✨Tip Number 1
Make sure to highlight your experience with financial services and asset management in your conversations. This industry-specific knowledge is crucial for the role, so be prepared to discuss relevant projects you've worked on.
✨Tip Number 2
Familiarize yourself with the data modelling tools mentioned in the job description, especially Erwin. If you have any hands-on experience or certifications, be ready to share those during discussions.
✨Tip Number 3
Demonstrate your understanding of Agile methodologies and tools like Jira and Confluence. Be prepared to give examples of how you've successfully contributed to agile projects in the past.
✨Tip Number 4
Showcase your knowledge of various data storage types and technologies. Discuss how you've modeled data for efficient usage in different environments, as this will be a key aspect of the role.
We think you need these skills to ace Asset Management Data Mod
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements. Highlight your experience in financial services and asset management, as well as your knowledge of data modelling tools.
Tailor Your CV: Customize your CV to emphasize relevant experience with data modelling, stakeholder management, and Agile methodologies. Include specific examples of projects where you utilized tools like Erwin, Jira, or Confluence.
Craft a Strong Cover Letter: Write a cover letter that connects your skills and experiences directly to the job requirements. Mention your familiarity with various data storage types and technologies, and how they relate to the role.
Proofread Your Application: Before submitting, carefully proofread your application materials for any errors or inconsistencies. A polished application reflects your attention to detail, which is crucial in data management roles.
How to prepare for a job interview at Lorien
✨Showcase Your Data Modelling Expertise
Be prepared to discuss your experience with data modelling tools like Erwin. Highlight specific projects where you've successfully implemented data models, especially in the context of financial services and asset management.
✨Demonstrate Stakeholder Management Skills
Prepare examples of how you've effectively engaged with stakeholders in previous roles. Discuss how you managed expectations and communicated complex data concepts to non-technical team members.
✨Familiarize Yourself with Agile Methodologies
Since Agile methodologies are crucial for this role, be ready to talk about your experience with Agile practices and tools like Jira and Confluence. Share how you've contributed to agile delivery in past projects.
✨Understand Data Storage Technologies
Brush up on various data storage types and technologies mentioned in the job description. Be ready to explain how you've modeled data for efficient usage across different platforms, such as relational databases and cloud storage solutions.
