SQL Data Engineer

SUMMARY:
SQL Data Engineer (12 Months Ongoing Contract)

POSITION INFO:

Requirements:

• Relevant Tertiary Qualification (e.g., BSc IT or similar) (Highly Beneficial)
• At least 5 years’ working experience in a SQL Data Engineering role
• 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.
• Strong problem-solving skills with a focus on backend SQL development.
• Ability to work independently and in teams to deliver robust data solutions.
• Ability to translate a documented specification into a robust implemented solution.
• Financial services industry (preferred)
• Strong understanding of regulatory compliance, data governance, and financial data structures
• 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.

Methodologies:

• 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.

Duties & Responsibilities:

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.

NB! This job is now closed. You can apply for other jobs by uploading your CV.