Lead Data Engineer - Hybrid working 3 days per week onsite

As a Lead Data Engineer, you’ll be instrumental in driving innovation through advanced analytics, AI, cloud technologies, and data science. You will help build a new Data & Analytics function and unified data platform.

Key Responsibilities:

• Develop and execute a data engineering strategy that aligns with organisational goals and technological advancements.
• Design and implement a scalable, reliable, and cost-efficient modern cloud data platform.
• Build and maintain robust ETL/ELT pipelines for processing and managing large volumes of structured and unstructured data.
• Create and manage Power BI dashboards, reports, and data models to provide strategic insights.
• Integrate cutting-edge technologies like AI, real-time analytics, and automation into our data infrastructure.
• Lead operational AI initiatives, including the development of machine learning models for predictive analytics.

Technical Skills:

• Proficiency in cloud platforms (Azure, AWS, or GCP) and data processing services.
• Advanced skills in Power BI, including DAX, Power Query, and data modelling.
• Strong programming abilities in Python, SQL, and/or Scala.
• Expertise in ETL/ELT processes, data warehousing, and data mesh architectures.
• Familiarity with AI/ML concepts and their application in data analytics.
• Experience with metadata management, data lineage tracking, and data cataloguing.
• Knowledge of serverless data processing, event-driven architectures, and modern data stacks.