Senior Data Engineer at Weaver Fintech Ltd

Role Overview

• As a Senior Data Engineer (6-month contract), you will lead the evolution of our data platform, architecting and optimizing scalable data pipelines using a modern cloud-based stack. You will mentor a team, set engineering standards, and drive the migration from legacy Microsoft BI tools to a future-proof, cloud-native architecture.

Key Responsibilities

• Team Leadership: Mentor and guide data engineers, manage workload planning, conduct code reviews, and foster career development.
• Data Architecture: Design, build, and maintain robust data pipelines and warehousing solutions on Snowflake (AWS), leveraging best-practice ELT patterns.
• Cloud Integration: Architect data ingestion and transformation workflows using Python, AWS S3, AWS Lambda, and DBT.
• Modernisation: Lead the migration from SSIS/SSAS to cloud-native solutions, ensuring data integrity and minimal business disruption.
• Data Modeling: Establish and enforce data modeling standards (e.g., Kimball/star schema), naming conventions, and documentation.
• Performance & Quality: Optimize data warehouse performance, implement data quality checks, and maintain observability for all pipelines.
• Security & Compliance: Ensure robust data security, privacy, and regulatory compliance across AWS and Snowflake.
• Stakeholder Collaboration: Partner with analytics, product, and business teams to deliver high-quality, timely, and secure data solutions.
• CI/CD & Automation: Introduce and maintain CI/CD pipelines for data workflows, automate processes, and champion best practices.
• Code Repository Management: Use GitHub for version control, code review, and collaborative development of all data engineering assets.

Core Technical Skills 

• Python: Advanced scripting for ETL/ELT, automation, and integration with AWS and Snowflake
• AWS S3: Data lake design, secure storage, lifecycle management, and integration with Snowflake
• AWS Lambda: Serverless ETL, event-driven workflows, automation, and error handling
• Snowflake (AWS): Data modeling, performance tuning, security, cost optimization, and integration
• Snowflake OpenFlow: Workflow orchestration and seamless data movement within AWS ecosystemDBT:
• SQL transformations, data quality tests, CI/CD, and analytics engineering
• Microsoft SQL Server: Advanced T-SQL, job scheduling, and integration with cloud data platforms
• GitHub: Code repository management, version control, code review, CI/CD integration, and secrets management; all using AI

Required Qualifications

• Experience: 5+ years in data engineering, with at least 2–3 years in a senior or lead capacity.
• Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field (Master’s or certifications in AWS, Snowflake, or Microsoft are advantageous).
• Domain Knowledge: Experience in financial services or FinTech is highly valued.
• Technical Leadership: Proven ability to architect large-scale data systems, lead migrations, and mentor teams.

Preferred Qualifications

• Experience with data orchestration tools (e.g., Airflow, Prefect).
• Familiarity with Infrastructure as Code (e.g., Terraform).
• Advanced certifications in AWS, Snowflake, or Microsoft SQL Server.

Closing Date 23 January 2026