Analytical Engineer

Isilumko Staffing; Sandton; On-site; ZAR 900,000 - 1,300,000; Full time

Job summary

Isilumko Staffing seeks an experienced Data Engineer to elevate analytics infrastructure in a financial services setting. You will translate business needs into scalable data solutions, design analytics datasets, and author advanced SQL for extraction and transformation.

Lead data modeling with Data Vault 2.0 and dimensional approaches, collaborate across teams, and contribute to governance, testing, and documentation efforts. On-site role in Gauteng, salary competitive with experience.

Qualifications

• Minimum of 5 years’ experience in data engineering or related roles.
• Strong proficiency in SQL and dimensional modelling.
• Hands‑on experience with data warehousing and Data Vault 2.0 methodologies.
• Solid understanding of data governance and quality standards.
• Ability to collaborate effectively across technical and business teams.

Responsibilities

• Engage stakeholders to translate business requirements into data solutions.
• Design datasets optimized for analytics.
• Perform data profiling, validation, and quality assessments.
• Develop Data Vault 2.0 and dimensional models for analytics.
• Write advanced SQL queries for ETL and analysis.
• Collaborate with Data Engineers on data pipelines.
• Maintain enterprise data models and metadata documentation.
• Support governance, testing, reporting, and documentation.

Skills

SQL

Dimensional modelling

Data Vault 2.0

Data warehousing

Data governance

Stakeholder engagement

Job description

Empower data‑driven decision‑making in a dynamic financial services environment by joining a leading organization committed to leveraging sophisticated data solutions. If you are a seasoned professional eager to shape analytics infrastructure and impact strategic outcomes, this is your opportunity to contribute meaningfully.

Duties:

• Engage stakeholders to translate business requirements into effective technical data solutions.

• Design datasets optimized for analytics purposes.

• Perform data profiling, validation, and quality assessments to ensure integrity.

• Develop Data Vault 2.0 and dimensional data models that support scalable analytics.

• Write advanced SQL queries for data extraction, transformation, and analysis.

• Collaborate with Data Engineers on building and maintaining robust data pipelines.

• Maintain enterprise data models and comprehensive metadata documentation.

• Support governance initiatives, testing, reporting, and documentation activities.

Requirements:

• Minimum of 5 years’ experience in data engineering or related roles.

• Strong proficiency in SQL and dimensional modelling.

• Hands‑on experience with data warehousing and Data Vault 2.0 methodologies.

• Solid understanding of data governance and quality standards.

• Ability to collaborate effectively across technical and business teams.

Familiarity with the following:

• Data pipeline development

• Metadata management

• Financial services industry knowledge is advantageous.

What We’ll Give You:

• A full‑time, on‑site role in Gauteng within a forward‑thinking organization.

• An opportunity to lead impactful data initiatives and refine your technical expertise.

• Competitive salary package aligned with your experience.

Take the next step in elevating your data career while contributing to innovative financial solutions. Apply now to become a vital part of a team that values impact and growth.