Data Engineer 12 Month FTC

TL;DR

Data Engineer (Azure/Big Data): Designing and building ingestion and transformation data pipelines for enterprise data platforms with an accent on ETL processes, data governance, security, and analytics models. Focus on optimizing extraction from diverse sources, building AI/ML models for business insights, and maintaining Azure data infrastructure.

Location: United Kingdom

Company

FTSE100 global business of 15,000 colleagues in 50 countries, applying leading-edge technology for mission-critical engineering solutions in industry, healthcare, security, and connectivity.

What you will do

• Design and implement data pipelines for optimal extraction, transformation, and loading from various sources.
• Build analytics and AI/ML models to deliver actionable insights on customer needs and business performance.
• Automate processes, optimize ETL, and manage CDC and data catalogue.
• Monitor Azure functions, data lake components, and provision resources.
• Ensure data security, governance, and alignment with enterprise data models.
• Maintain Oracle/SQL services and collaborate with data owners and architects.

Requirements

• Degree or equivalent education.
• Technical experience in on-premise/public cloud data services: database architecture, ETL, data mining, BI, big data, data governance.
• Azure experience (SQL DB, Data Bricks, Data Lake, Logic Apps, Data Factory) a plus.
• Big data technologies (Hadoop, Spark); data security/privacy.
• Analytical thinking, communication skills, ability to work with business owners.
• Experience with offshore/onshore support, AI/ML using Azure OpenAI, Cognitive Search.

Nice to have

• PowerBI, ERPs (SAP, QAD, Oracle).
• Migrating legacy solutions to cloud.

Culture & Benefits

• Career growth in digital transformation with professional development opportunities.
• Collaborative environment focused on innovation and continuous improvement.
• Competitive compensation, comprehensive benefits, flexible working options for work-life balance.