Data Engineer – Build Scalable Data Pipelines

About the role

Join a fast‑growing technology and data consultancy that delivers modern data platforms and advanced analytics solutions. As a Data Engineer you will design, develop and maintain robust data pipelines that power critical business and investment operations.

Key responsibilities

• Design, develop and optimise data pipelines ingesting data from diverse internal and external sources.
• Build and enhance scalable data platforms that adapt to evolving business and technical requirements.
• Monitor, maintain and improve data systems to ensure performance, reliability and data accuracy.
• Implement testing, validation and quality‑assurance processes for consistent data delivery.
• Collaborate with stakeholders and cross‑functional teams to understand data needs and deliver effective solutions.

Required profile

• Strong experience designing and developing scalable data pipelines.
• Proficiency in SQL, Python and Databricks or Azure technologies.
• Hands‑on experience with Git and Airflow.
• Excellent troubleshooting abilities and a proven track record of delivering high‑quality data solutions.
• Effective communication skills and ability to work within collaborative teams.

Required skills

• SQL
• Python
• Databricks
• Azure
• Git
• Airflow

What we offer

• Work on meaningful, real‑world data and analytics challenges.
• Collaborate with highly skilled engineers and data professionals.
• Exposure to projects linked to global markets and economic trends.
• Strong learning and development opportunities to broaden technical expertise.
• High‑autonomy culture that encourages ownership and innovation.