Security Data Analytics Engineer

🚀 6-Month Contract Opportunity: Security Data Analytics Engineer (Inside IR35) – Banking & Financial Services | Azure | Security Insights

💼 Role: Security Data Analytics Engineer

⏳ Duration: 6-Month Contract (Inside IR35)

📍 Location: Hybrid – London office

💰 Daily Rate £431 per day

Join a forward-thinking Control Tower team on a mission to provide data-led security insights to industry leaders. They seek a highly skilled Security Data Analytics Engineer to design, develop, and implement cutting-edge Azure-based data solutions that drive security intelligence in a dynamic financial services environment.

Your Key Responsibilities:

✔Design & Implement Scalable Data Pipelines: Use Azure Data Factory and Databricks to ingest, transform, and load data from multiple sources.

✔Develop Data Processing & Integration Solutions: Leverage Databricks, Spark, and Synapse Analytics to optimize workflows.

✔Data Storage & Warehousing: Manage Azure SQL Database, Data Lake, and Blob Storage to handle vast datasets.

✔Real-time Data Processing: Configure and enhance Azure Stream Analytics for extracting live insights.

✔Security & Governance: Implement robust data security, governance, and monitoring frameworks.

✔DevOps & Automation: Utilize Azure DevOps, CI/CD pipelines, and Infrastructure as Code for automation.

✔Performance Optimization & Quality Assurance: Ensure data integrity and minimize processing errors.

✔Collaboration & Leadership: Work closely with cross-functional teams, coaching junior engineers, and driving strategic objectives.

What You Bring:

🔹Proven experience in Azure Data Engineering – Azure Data Factory, Databricks, Synapse Analytics.

🔹 Strong proficiency in Python, SQL, and Spark for data transformation.

🔹 Expertise in data modeling, warehousing, and pipeline optimization.

🔹 Experience implementing DevOps, CI/CD pipelines, and automation in Azure.

🔹Security awareness – knowledge of security tools and risk frameworks is a plus.

🔹 Familiarity with Agile methodologies and financial/banking industry standards.

🔹Azure certifications (e.g., Azure Data Engineer Associate) are highly desirable.

What Success Looks Like:

✅ Delivery of high-quality data pipelines that align with business security needs.

✅ Reduction in manual processes through automation and DevOps improvements.

✅ Enhanced collaboration between data, security, and risk teams.

✅ Continuous learning, innovation, and knowledge sharing across teams.

Ready to take on an impactful role in data security? Apply now and be part of a team driving innovation in banking and finance!