Senior Data Engineer - Finance | AWS, Data Governance, Agile

Blue Pearl PTY; Johannesburg; On-site; ZAR 900,000 - 1,200,000; Full time

Job summary

Blue Pearl is seeking two experienced Data Engineers to join a high-profile Financial Services programme. You will analyse, document and manage complex data requirements, translating them into solutions that align with business objectives.

You will work closely with stakeholders, technology teams, architects and delivery teams in an Agile setting, performing data analysis, profiling, mapping and governance to ensure quality data and robust data models.

Qualifications

• Bachelor’s degree in IT/CS/IS or data discipline is required.
• AWS Cloud Practitioner certification is required.
• Plus certifications in Data/Agile/Business Analysis are advantageous.
• Minimum 8 years professional experience, 5+ years in FS sector.
• Experience in BA, data analysis, and agile environments.

Responsibilities

• Elicit, analyse, document, and manage data requirements.
• Develop user stories and acceptance criteria for backlogs.
• Facilitate workshops with senior stakeholders and teams.
• Perform data profiling, mapping, and governance activities.
• Collaborate with architects and development teams on designs.
• Support testing and validate delivered solutions against requirements.

Skills

Data analysis

Business analysis

Stakeholder management

Agile delivery

User story development

Workshop facilitation

Requirements elicitation

Process analysis

Education

Bachelor's Degree in IT, CS, IS, Data Management, Eng, Math

Tools

Jira

SQL

Data profiling

Data warehousing concepts

Metadata management

Reporting & analytics

API integration

Job description

Blue Pearl is seeking two experienced Data Engineers to join a high-profile Financial Services programme. You will analyse, document and manage complex data requirements, translating them into solutions that align with business objectives.

You will work closely with stakeholders, technology teams, architects and delivery teams in an Agile setting, performing data analysis, profiling, mapping and governance to ensure quality data and robust data models.