Data Engineer

Job Description

As the Data Engineer you will:

• Work with stakeholders to understand business objectives and translate non-technical requirements into actionable technical tasks.
• Collect, clean, and analyse data from multiple sources to support decision-making.
• Build and maintain dashboards, reports, and datasets.
• Use SQL to query and manipulate large data sets.
• Develop scripts and automation using Python to streamline data processes and analysis.
• Perform data validation, quality checks, and ensure accuracy and consistency.
• Present findings and recommendations to technical and non-technical audiences.
• Collaborate with cross-functional teams to support ongoing projects and initiatives.
• Identify opportunities for process improvement through data insights.

QUALIFICATIONS AND EXPERIENCE​|

The Ideal Data Engineer will have: 

• Strong SQL skills with experience querying relational databases.
• Proficiency in Python for data analysis, automation, and reporting.
• Advanced Excel skills, including pivot tables, formulas, and data visualization.
• Ability to translate business requirements into technical specifications.
• Strong problem-solving and analytical skills.
• Experience with BI tools (e.g., Power BI, Tableau) would be beneficial
• Experience working with large or complex datasets is preferable.
• Background in statistics, computer science, business, or related field, would be beneficial.
• Experience in project-based or cross-functional environments, would be preferable.
• Self-motivated and highly organized.
• Detail-oriented with a focus on accuracy.
• Curious, eager to learn, and comfortable working in a dynamic environment.