SQL Data Engineer

Join a forward-thinking financial services organization that values collaboration, innovation, and excellence. We’re looking for a SQL Data Engineer to drive impactful data solutions in a dynamic, fast-paced environment. If you’re passionate about data architecture and backend development, this is the ideal opportunity to contribute to a purpose-driven team while advancing your technical expertise.

Key Responsibilities:

Technical Delivery:

• Design and develop complex SQL backend solutions (not front-end applications).
• Translate business requirements into technical solutions through direct client engagement.
• Create and maintain scalable ETL/ELT pipelines using SSIS and AWS Glue.
• Optimize database performance using techniques like partitioning, indexing, and stored procedures.
• Develop automated CI/CD pipelines using Git Lab for efficient deployments.
• Ensure data compliance and governance in line with financial regulatory standards.

Collaboration & Stakeholder Engagement:

• Build strong relationships with stakeholders to understand and meet data needs.
• Set and manage realistic expectations while delivering consistent, high-quality outputs.
• Contribute to a service-driven and feedback-rich team culture.

Teamwork & Professional Growth:

• Foster a positive and agile team environment.
• Align personal goals with team objectives.
• Take initiative in learning and development through regular feedback and performance reviews.

Technical Expertise:

• Advanced knowledge of SQL Server, SSIS, SSRS, and SQL Transact, including performance tuning.
• Experience with data warehousing, lakes, or vaults, preferably using SQL Transact and SSIS.
• Strong command of AWS data services.
• Proficient in Git Lab (version control and CI/CD).
• Skilled in Python (Pandas, Num Py, PySpark, SQL Alchemy) for ETL automation and data transformation.
• Familiarity with tools like Visual Studio, Master Data Services (MDS), and Power BI.
• Solid database administration (DBA) skills with focus on indexing and performance optimization.

Financial Sector

Experience:

• Minimum 5 years’ experience within financial services.
• Thorough understanding of financial data structures, compliance, and governance requirements.
• Soft Skills & Ways of Working
• Strong ability to gather and translate stakeholder requirements into actionable technical solutions.
• Collaborative, adaptable, and proactive in solving problems.
• Experienced working within Agile (Scrum/Kanban) environments, with a focus on Dev Ops and automation.

Qualifications:

• Relevant tertiary degree (e.g., BSc in IT or related field).
• 5+ years of hands-on SQL development experience.
• 5+ years of Python experience in ETL and data engineering.