Data Engineer - Fintech (Hybrid/Remote)
Rosie's People
Date: 1 week ago
City: Remote
Contract type: Full time
Remote
Our client is a fast-paced fintech company, and they are seeking motivated candidates for an exciting new opportunity. The ideal candidate will be available to start relatively quickly, with the option to begin on a fractional basis before transitioning to full-time. We are looking for individuals who are ready to hit the ground running and bring their expertise to the role.
To streamline the shortlisting and selection process, we require candidates to provide their expected annual compensation figures and availability when applying. Please note that applications without this information will not be considered.
We look forward to hearing from you!
Requirements:
To streamline the shortlisting and selection process, we require candidates to provide their expected annual compensation figures and availability when applying. Please note that applications without this information will not be considered.
We look forward to hearing from you!
Requirements:
- Previous experience working in a Fintech/Financial Services or start-up
- Excellent communication and collaboration skills
- Works to deadlines and roadmaps
- Innovative and can-do and must-do mentality
- Demonstrable progressive experience with data analysis
- Adaptable and confident ETL tools
- Strong experience in SQL (preferably intermediate)
- Analytical mindset and experience working with large datasets
- Great attention to detail
- Ability to interpret and present various datasets
- Good commercial mindset with a strong understanding of commercial impacts from analysis/reporting and ability to work with other teams and departments
- Design, develop and build data models that meet functional and non-functional business requirements
- Create and maintain optimal data pipelines
- Ensure service compliance with approved and established SLAs
- Work with other stakeholders to assist with data-related technical issues and support their data infrastructure needs
- Identify, design, and implement internal process improvements - automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
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