Data Engineer

If you’re a detail-oriented data professional with strong SQL and Power BI skills who enjoys working with complex, high-volume datasets, this role is worth serious consideration and offers meaningful exposure to enterprise-level data within the insurance and financial services sector.

Role Overview:
As a Data Engineer, you will play a crucial role in ensuring the accuracy, completeness, and reliability of data transformation processes. You will work closely with colleagues to deliver validated, actionable outputs from complex datasets.

Key Responsibilities:

• Understand and work with existing team data processes, tools, and frameworks.
• Support data transformation from multiple input systems (e.g., DINO, local SQL databases) into concise, validated outputs for business teams.
• Perform thorough validation and verification checks to ensure data accuracy and completeness.
• Identify, document, and communicate data errors clearly and concisely.
• Collaborate with the data team to implement and track solutions for data issues.

Technical Requirements & Expertise:

• Strong proficiency in Microsoft SQL for data ingestion, transformation, and analysis.
• Advanced skills in Microsoft Excel, including Power Query, Power Pivot, and Power BI.
• Ability to organise, manipulate, and analyse large datasets.
• Knowledge of life insurance products is advantageous.

Qualifications & Background:

• Bachelor’s degree in Science, IT, Actuarial Science, Data Science, or a related discipline.
• Minimum of four years’ relevant professional experience in data analysis, data management, or business intelligence.
• Ability to work independently with strong attention to detail.
• Excellent communication and interpersonal skills to work effectively with both technical and non-technical stakeholders.
• Ability to work under pressure and meet deadlines in a fast-paced environment.