Data Engineer, Mount Street
3+ days a week in office
Global loan servicing and credit asset management firm
Posted today
Global loan servicing and credit asset management firm
101-200 employees
Posted today
3+ days a week in office
101-200 employees
Company mission
To provide a complete ecosystem of outsourced solutions, combining an entrepreneurial approach with leading edge technology.
Role
Who you are
- Aptitude and tenacity in dealing with changes to requirements
- Self-organising and able to manage multiple deadlines from various clients
- Data Processing
- Data Warehousing
- ETL (Extract, Transform, Load)
- Programming Skills (SQL,Python,PySpark)
- Data Modelling (DBT)
- Data Quality and Governance
- Data Visualization
- Problem-Solving Skills
- Collaboration and Communication
- Continuous Learning
Desirable
- Experience with DBT
- Experience with Microsoft Fabric
What the job involves
- Working with stakeholders to understand current problems and find technical solutions
- Designing and implementing scalable ETL processes
- Managing the data warehouse providing a golden source of truth
- Strategic Leadership: Develop and implement data strategies that align with the company's goals and objectives
- Compliance and Best Practices: Ensure all data activities comply with relevant laws and regulations and promote best practices in data management
- ETL Pipeline Development: Develop robust ETL (Extract, Transform, Load) pipelines to extract data from various source systems, transform it into the desired format, and load it into the data warehouse. This involves writing code/scripts to automate data ingestion, cleansing, and transformation processes
- Performance Optimization: Continuously optimize the performance of the data warehouse by fine-tuning data models, optimizing SQL queries, and scaling infrastructure as needed. Identify and address bottlenecks to ensure efficient data processing and querying
- Requirements Gathering and Client Communication: Collaborate with clients and stakeholders to understand their business requirements, data sources, and analytics needs. Translate these requirements into technical specifications for the data warehouse design
- Data Modelling: Design and implement efficient data models that support the analytical and reporting needs of the organization. This includes defining tables, relationships, and data transformations to optimize query performance and data retrieval
Application process
- Apply with your profile
Our take
Mount Street is a loan services and financial technology company. Offering solutions from credit loan and management services to asset management. One of its named features is its “CreditHub” technology, a comprehensive platform for effective credit portfolio management. The technology features everything from the likes of document management to workflow automation for direct client access through a secure portal.
With its outsourced solutions ecosystem and suite of tools that covers the entire credit lifecycle, the company positions itself as an innovator in its space. Mount Street's services span diverse sectors, including real estate, asset-backed lending, corporate debt, and structured finance. Since founding in 2013 the company now boasts a global presence, offering its services in Europe, US and Australia.
Freddie
Company Specialist at Welcome to the Jungle
Company
Company benefits
- Private medical
- 25 days holiday 🇬🇧
Company values
- Integrity - We value honesty, courage, fairness and tenacity
- Value our People - Our strength is our People and Teamwork is at the heart of what we do and who we are
- Deliver - We walk the talk and deliver on our promises
- Empower - Our teams are empowered to share in the purpose of our business
- Customer First - Partnership - We work in partnership with our clients, developing a relationship built on trust
Company HQ
City of London, London, UK
Leadership
Paul Lloyd
(CEO)Previously worked as European Head of Loan Servicing at CBRE and was the Director of Deutsche Bank.
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