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
Desired Skills:
- SQL
- Data Engineer
- Data Engineering