Job Description

ENVIRONMENT:
A dynamic Investment Specialist seeks a highly skilled SQL Data Engineer to fill a Contracting role where you will do SQL Backend Development, elicit and document business requirements directly from data clients while delivering innovative solutions. You will also develop and maintain ETL/ELT data pipelines using SSIS and AWS Glue for large-scale data ingestion and transformation, deliver high-quality service and contribute to a positive and energizing workplace culture. The successful incumbent must possess a BSc. IT Degree or similar tertiary qualification with 5 years hands-on SQL development experience - Experience in warehouse, data lake, or data vault development using SSIS and SQL Transact will be considered here not just fluency in SQL for 10 years & have 5+ years Python for data processing, automation, and ETL/ELT pipeline development.
DUTIES:
Core Responsibilities -

• Expert-level SQL Backend development (not application development).
• Elicit and document business requirements directly from data clients.
• Deliver innovative solutions aligned with business needs and strategies.
• Develop and maintain ETL/ELT data pipelines using SSIS and AWS Glue for large-scale data ingestion and transformation.
• Implement database solutions with partitioning, indexing, and stored procedures to improve query execution times.
• Automate deployment pipelines using GitLab CI/CD to streamline development and operational workflows.
• Implement data governance frameworks, access controls, and compliance protocols to meet financial industry regulations.

Collaboration -

• Build and maintain effective relationships with stakeholders.
• Deliver consistent, high-quality service while managing expectations.
• Promote a feedback-driven and service-oriented culture.

Self-Management & Teamwork -

• Contribute to a positive and energizing workplace culture.
• Align individual performance with team and organizational goals.
• Encourage and embrace innovation, agility, and collaboration.
• Take ownership of personal development through effective performance planning and feedback.

REQUIREMENTS:
Qualifications

• Relevant tertiary qualification (e.g., BSc IT or similar).

Experience/Skills

• Minimum 5 years of hands-on SQL development experience. (Experience in warehouse, data lake, or data vault development using SSIS and SQL Transact will be considered here not just fluency in SQL for 10 years).
• 5 Years+ of Python for data processing, automation, and ETL/ELT pipeline development.
• Advanced proficiency in SQL Transact, SQL Server, SSIS, and SSRS, including performance tuning and query optimization.
• Experience in data warehouse, data lake, or data vault development using SSIS and SQL Transact.
• Strong knowledge of AWS services related to data management.
• Proficiency in GitLab for version control, CI/CD automation, and deployment pipelines.
• Experience with Python libraries such as Pandas, NumPy, PySpark, and SQLAlchemy for data manipulation and integration.
• Knowledge of Visual Studio, MDS, and Power BI.
• Experience in ETL/ELT pipeline development, data integration strategies, and best practices in Data Engineering.
• Database Administration (DBA) experience, including index management, query optimization, and performance tuning.
• Working experience in an Agile environment (Scrum, Kanban) with sprint planning and backlog grooming.
• Proficiency in implementing DevOps practices for automated deployments, monitoring, and alerting.
• Strong problem-solving skills with a focus on Backend SQL development.

Financial Industry Expertise:

• At least 5 years experience in Financial Services (preferred)
• Strong understanding of regulatory compliance, data governance, and financial data structures.

ATTRIBUTES:

• Strong ability to gather and document requirements directly from stakeholders.
• Exceptional collaboration and relationship-building skills.
• Agility in problem-solving and adapting to changing priorities.
• Strong problem-solving skills with a focus on backend SQL development.
• Can work independently and in teams to deliver robust data solutions.
• Able to translate a documented specification into a robust implemented solution.

While we would really like to respond to every application, should you not be contacted for this position within 10 working days please consider your application unsuccessful.
COMMENTS:
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