Data Engineer x2
Job in
Mayville, Traill County, North Dakota, 58257, USA
Listed on 2026-10-20
Listing for:
Sabenza IT & Recruitment
Full Time
position Listed on 2026-10-20
Job specializations:
-
IT/Tech
Data Analyst, Data Warehousing, Business Systems & Technology Analysis
Job Description & How to Apply Below
Data Engineer (2 positions) | 6-month contract | Hybrid, Rosebank
Turn complex financial data into real business impact
Do you like working where finance, data and delivery meet? We're looking for two experienced Data Engineers for a high-profile financial services engagement. You'll work with senior business and technology stakeholders to turn business needs into clean, reliable data that's ready for production.
This is a hands-on role on an important programme. Your analysis and data skills will shape the delivery of the programme.
The opportunityContract:
6 months, with a possible 6-month extension
Allocation:
Full-time
Work arrangement:
Hybrid, with on-site days in Rosebank and the rest remote
- Gather and document business and data requirements with senior stakeholders
- Do business and feature analysis that turns complex needs into clear, actionable outputs
- Write production-ready user stories with clear acceptance criteria
- Design, review and validate data models and data mappings
- Find and fix data quality issues through data profiling and analysis
- Support data governance, data lineage and data quality across the programme
- Help the programme hit its delivery milestones in an Agile environment
- At least 8 years of professional experience
- At least 5 years in financial services
- At least 5 years in business analysis or feature analysis
- At least 5 years in data analysis
- Experience in Agile delivery and working with senior business and technology stakeholders
- A bachelor's degree in IT, Computer Science, Information Systems, Data Management, Engineering, Mathematics or a related field
- AWS Cloud Practitioner certification (minimum)
- Your toolkit Requirements gathering, business and feature analysis, user stories, acceptance criteria, data modelling, data mapping, data governance, data lineage, data quality, SQL, data profiling, data warehousing concepts, Jira and Agile delivery.
- Foreign exchange (FX), capital markets or treasury systems
- Front-office trading environments
- Regulatory reporting
- AWS cloud data platforms
- Data migration programmes
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