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Onsite Data Engineer (Python, Cloud)
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Onsite Data Engineer (Python, Cloud)
Data Engineer (Python & Cloud)
Location: Onsite, Birmingham, UK Company: Global Tech Advisors (Global Tech Advisors to a Global Investment Bank)
Job Summary
Global Tech Advisors is hiring a Data Engineer to join a data engineering team supporting audit analytics and automation for a leading global investment bank. You will design and build scalable, secure, and auditable cloud data platforms, pipelines, and APIs that enable traceable delivery in a regulated environment.
This is a hands-on individual contributor role requiring:
- Strong technical credibility
- Clear communication
- Structured execution
- Ability to deliver under time pressure
Key Responsibilities
Design & Build
- Design, develop, and maintain scalable data pipelines and workflows for audit data ingestion, transformation, and reporting
- Build and deploy cloud-native data applications supporting audit analytics, monitoring, and insight generation
APIs & Integration
- Develop and maintain robust RESTful APIs for data access, integration, and audit tooling
Stakeholder Collaboration
- Partner with audit stakeholders to translate requirements into clear technical designs and deliverables
Compliance & Security
- Implement data quality, validation, logging, and error handling aligned with controls and compliance expectations
- Ensure security, governance, and regulatory requirements are met, including traceability and auditability
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Processing & Automation
- Build and support batch and real-time data processing architectures as required
- Contribute to automation of audit processes through data engineering and analytics enablement
- Collaborate with IT, risk, and compliance teams on data-related initiatives and delivery alignment
Required Skills & Experience (Minimum Qualifications)
Technical Proficiencies
- Strong, hands-on Python experience for building production-grade data solutions
- Experience in:
- Data pipelines using Airflow, Prefect, or similar orchestration frameworks
- RESTful APIs (FastAPI, Flask, Django)
- Data processing libraries: Pandas, PySpark, NumPy
- SQL (relational/NoSQL databases)
- Knowledge of cloud security concepts (IAM, secure networking principles)
- Experience with at least one major cloud platform (AWS, Azure, GCP) for deploying data applications
Soft Skills & Work Practices
- Clear, organized approach with structured documentation and traceable delivery
- Strong communication skills for explaining technical concepts to non-technical stakeholders
- Ability to deliver under pressure while maintaining code quality
Preferred Qualifications (Nice to Have)
Advanced Technical Expertise
- Experience with data governance, lineage, and controls in audit-conscious or regulated environments
- Containerization & orchestration (Docker, Kubernetes)
- Serverless architectures and cloud-native data services (data lakes, warehouses)
- DevOps and CI/CD practices
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Financial/Industry-Specific Experience
- Big data tooling (Spark, Hadoop) or ML pipeline integration
- Modernizing legacy data platforms
- On-premise to cloud migration for data pipelines
- Finance/Investment Banking experience, particularly in risk, controls, or audit data initiatives
What Success Looks Like
Your impact will be measured by: ✔ Quickly building trust through clear communication, technical credibility, and execution. ✔ On-time delivery of secure, auditable pipelines and APIs with strong engineering standards. ✔ Improving data reliability and traceability via validation and governance-aligned design. ✔ Reducing delivery risk through proactive identification of dependencies, constraints, and trade-offs.
Working Style & Stakeholders
- Onsite delivery in Birmingham with collaboration across audit, technology, risk, compliance, and IT teams.
- High-accountability environment where deliveries are time-sensitive and code quality is critical.
Equal Opportunity
Global Tech Advisors is an equal opportunity employer. Applications are evaluated based on skills, qualifications, and job-related abilities—all qualified candidates are welcome.
Contact: info@projectbrains.io
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