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

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