Data Engineer / MLOps & Systems Integration Expert– CRM Support & Institutionalisation
Background
Revenue Mobilisation, Investment and Trade (REMIT) programme, funded by the UK’s Foreign, Commonwealth and Development Office (FCDO) and implemented by Adam Smith International (ASI) is a technical assistance program aimed at driving reforms that strengthen macroeconomic stability, foster sustained economic growth, promote mutual prosperity, create jobs, and reduce poverty. REMIT supports the Government of Pakistan, its ministries, and institutions in enhancing revenue mobilization, improving the investment climate, reducing trade barriers, and strengthening macroeconomic policy management.
Since 2024, REMIT’s technical team has supported FBR to develop and operationalise a Compliance Risk Management (CRM) engine - starting with analysis of taxpayer data and a pilot on a defined subset of cases. Following a successful pilot, the work was scaled to corporate taxpayers by applying unsupervised learning methods to segment and prioritise cases across both Income Tax and Sales Tax. The approach was subsequently extended to non-corporate taxpayers using a complementary rules-and-threshold framework. Both modules have now been rolled out across field formations, with supporting trainings and workshops underway to embed routine use.
Assignment Objectives
Support FBR in implementing the Compliance Risk Management Framework by running the process on the inputs envisaged in the framework to deliver the intended outputs
Update the current CRM system risk rules by layering data science models over the parameters to improve effeciency, reduce false positives and decrease overall flagging.
Improve data pipelines with quality checks, lineage logs and secure access controls.
Provide training across selected field offices across Pakistan on the use of CRM and provide assitive material i.e., user manuals.
Enable FBR to use CRM for effective treatment of risks
Institutionalise feedback loops from workshops to refine rules, models and the UX of CRM dashboards.
Build capacity of FBR’s CRM Wing to sustain these practices beyond REMIT support.
Job Summary
The Data Engineer / MLOps & Systems Integration Expert will be responsible for the technical backbone of the CRM solution - ensuring that the data pipelines, controls, and deployments are robust enough for day-to-day use across FBR. The role will work closely with PRAL and the CRM Wing to strengthen data ingestion, cleaning, and quality checks, maintain lineage and access-control logs, and support secure, production-ready releases of updated models/rules. A key part of the job is to integrate CRM functionalities with FBR systems for real-time operations, while also enforcing role-based access, logging, and data-handling protocols, and providing ongoing maintenance and bug-fix support as the tool continues to scale
Duties and Responsibilities
· Build and maintain reliable data ingestion and transformation pipelines for the CRM engine and dashboards (automated, repeatable, and well-documented).
· Implement practical data quality controls (validation checks, completeness/consistency rules, exception handling) so outputs remain defensible for operational use.
· Own the MLOps / release workflow for model and rule updates—versioning, packaging, deployment, rollback, and basic release notes.
· Support systems integration to enable CRM to function in near real-time, including interfaces/APIs and structured data handoffs with PRAL-managed systems.
· Put in place and maintain role-based access controls and secure handling of data (permissions, audit trails, and operational safeguards).
· Establish monitoring and performance checks for pipelines and deployed components (uptime, failures, data drift/volume anomalies) and fix issues quickly.
· Maintain technical documentation—data dictionaries, pipeline maps, lineage notes, and runbooks—so the CRM Wing/PRAL can sustain the system.
· Coordinate day-to-day with the CRM technical team to troubleshoot bugs, improve stability, and support rollout of enhancements across formations
Qualifications and Experience
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, or a related field.
At least 3–5 years of experience in data engineering, MLOps, or production deployment of analytics systems.
Strong experience in designing and maintaining data pipelines (ETL/ELT), including incremental updates and orchestration.
Expertise in SQL, Python, version control (Git), and containerisation (Docker).
Experience implementing data quality checks, logging, lineage documentation, and access controls.
Familiarity with CI/CD practices, model versioning, and monitoring for data and model drift.
Experience integrating analytical systems with enterprise platforms using APIs or scheduled jobs.
Understanding of secure data handling practices, role-based access control, and audit logging in sensitive data environments.
Reporting
The “Data Engineer” will report to Member CRM, Chief CRM, REMIT Tax Lead & the Senior Risk Management Specialist.
Deadline to apply: Wednesday 28th January - 5 PM (PAK Standard Time).
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