Active Jobs at Weaver Fintech Ltd

Role Overview

• The Accountant will be responsible for maintaining the Fixed Asset Register, processing cashbooks, and providing support with Accounts Payable and other finance-related activities.

Key Responsibilities

• Ensure that all fixed asset related movements are timeously and accurately processed.
• Monthly update of the fixed asset register.
• Monthly review of depreciation calculations.
• Ensure that any profits or losses on disposal of assets are accurately recorded.
• Preparation of month-end financed asset journals.
• Management of annual useful life and residual value review process.
• Monthly update and distribution of capex spend schedules.
• Conduct quarterly asset impairment review with business.
• Liaise with external and internal auditors with respect to any deliverables or queries with respect to fixed assets.
• Preparation of monthly balance sheet reconciliations.
• Preparation of monthly, quarterly and year-end reports.
• Perform monthly reasonability tests to ensure that all transactions are valid and complete.
• Process daily cashbooks.
• Prepare daily and monthly bank reconciliations.
• Prepare monthly cash clearing Reconciliation.
• Reconciling Inter-company Accounts.
• Prepare Supplier recons
• Performance of various adhoc activities to support the finance department in achieving its reporting objectives, including, but not limited to:
• Process requested correcting / adjusting journal entries.
• Perform any investigations requested by the Team Leader or Financial Managers.
• Prepare any adhoc reports as requested by Finance Managers.
• Preparation of any schedules required as part of the year-end audit process.
• Assisting the Team Leader in ensuring that all deadlines and reporting requirements are met timeously.

About You

• Bachelor of Commerce Degree / National Diploma in Accounting
• 3-5 Years experience in a Finance role
• Intermediate / Advanced level of excel skills
• Attention to detail, strong organizational skills, and the ability to ensure accuracy in financial records and transactions.
• Knowledge of automated financial and accounting reporting systems
• Previous working experience in retail/ financial services would be advantageous.

Closing Date 31 January 2026

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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