SQL Data Engineer

SUMMARY:
SQL Developer / Data Engineer to design, build, maintain, and support high-quality data pipelines

POSITION INFO:

We are looking for a capable and detail-oriented SQL Developer / Data Engineer to design, build, maintain, and support high-quality data pipelines that empower insight-driven decision-making and efficient campaign execution. You will play a key role in ensuring the reliability, performance, and quality of data pipelines, with a strong emphasis on compliance and metadata governance.

Key Responsibilities

• Maintain and support existing data pipelines, ensuring optimal performance and minimal downtime.

• Identify opportunities to optimise and refactor data pipelines for improved efficiency and scalability.

• Ensure data integrity, quality, and compliance with metadata governance and industry standards.

• Develop and deploy new data pipelines and transformations according to business needs.

• Follow agreed development lifecycle processes, including requirements gathering, testing, version control, and deployment.

• Maintain and document code repositories (e.g., Git) and ensure code is modular, reusable, and well-documented.

• Collaborate with campaign teams, data analysts, and other stakeholders to ensure data solutions meet business requirements.

Minimum Qualifications and Experience

• 3+ years of professional experience in Data Engineering, with a strong focus on SQL-based development.

• Proven experience in maintaining, troubleshooting, and enhancing data pipelines in a production environment.

• Experience working within structured development methodologies (Agile/Scrum/Kanban preferred).

Preferred Exposure and Experience

• Exposure to maintaining and improving internal data processing workflows and operations.

• Familiarity with campaign management environments or customer data platforms is advantageous.

• Experience working with large datasets and optimising SQL queries for performance.

Technical Skills and Competencies

• SQL (Strong proficiency is essential)

• Experience with ETL tools or data integration platforms (e.g., Ab Initio is a bonus)

• Understanding of data modelling principles and best practices

• Knowledge of data quality assurance methodologies

• Familiarity with metadata and governance frameworks

• Experience with version control systems (e.g., Git)

Soft Skills and Attributes

• Strong analytical and problem-solving skills

• Attention to detail and a commitment to producing high-quality, reliable data outputs

• Excellent communication and collaboration skills

• Ability to work independently and proactively identify improvement areas