Data Engineer

• Design and operate event-driven data pipelines using Kafka consumers and Flink jobs to process high-volume customer events (clicks, purchases, returns) in near-real time.
• Build and optimize large-scale data transformations on Google Cloud Platform — BigQuery SQL, query performance tuning, and partitioning strategy at scale.
• Develop Python data engineering workloads using Polars or Pandas at scale, with rigorous attention to Parquet partitioning, join performance on large datasets, and memory efficiency.
• Build, deploy, and maintain ML pipeline components on Kubeflow Pipelines (KFP) and Vertex AI; package and deploy services with Docker.
• Design event store architecture: partitioning by customer, time-ordered event assembly across heterogeneous sources, and schema management for mixed event types.
• Partner with ML engineers, platform engineers, and data scientists to deliver clean, performant, model-ready data products.
• Document architecture decisions and contribute to engineering standards across the platform team.

Senior Data Engineer

Vice President

• Collaborate with client stakeholders to gather requirements, structure solutions, and ensure high‑quality, timely delivery.
• Experience working in the Databricks tech stack with strong proficiency in SQL, Python, and PySpark
• Design and optimize data models, data marts, and Lakehouse/warehouse layers with strong focus on medallion architecture, query optimization, and performance engineering.
• Build, orchestrate, and monitor scalable data pipelines on Databricks, ensuring reliable ingestion, transformation, CDC handling, and incremental load strategies.
• Manage end‑to‑end pipeline operations including performance tuning, data quality monitoring, alerting, and issue resolution across production workloads.
• Lead a project team of data engineers supporting multiple workstreams and provide technical leadership through code reviews, best‑practice guidance, reusable pattern creation, and mentorship to engineering team members.
• Prepare and maintain project documentation to support project execution and delivery.

Assistant Vice President

Product Specialist

• Support development of credit card product features and lifecycle design
• Manage onboarding and account management frameworks
• Review and maintain Product Requirement Documents (PRDs)
• Bring SME in Credit Product launch and enablement – legal and compliance as well
• Assist the execution team around prioritization and feature/product level controls and guardrails
• Define backend data requirements, including data capture, storage, and usage
• Establish customer communication flows (notifications, servicing, alerts)
• Coordinate integration with customer support portal
• Collaborate with technology and controls teams to ensure smooth product implementation
• Support product build activities and ensure alignment with overall product strategy

Senior Credit Product Specialist

Payroll

• Process bi-weekly and semi-monthly payrolls for employees across multiple states and countries.
• Ensure accurate and timely payments, including taxes, deductions, and benefits.
• Identify and resolve pay discrepancies and escalations efficiently.
• Support audits, year-end processing (W-2s), and regulatory reporting.
• Manage payroll inquiries and provide prompt, professional responses.
• Collaborate with HR, Finance, and Benefits to maintain accurate payroll data and seamless processes.
• Work independently while contributing to a dynamic, cross-functional team.

Payroll Specialist

DevOps Engineer

• Support deployment of AI-enabled solutions into production environments (cloud/on-prem).
• Assist in implementing agentic workflows (multi-step, goal-driven AI systems) that interact with tools, APIs, and enterprise systems.
• Integrate AI applications with data sources, business workflows, and operational systems.
• Validate outputs for accuracy, reliability, and business alignment before and after deployment.
• Work within Agile/Scrum teams, contributing to sprint planning, daily stand-ups, and retrospectives.
• Translate user stories into technical tasks and support iterative development cycles.
• Collaborate closely with product managers, designers, and engineers to deliver increments of value.
• Participate in rapid prototyping and fail-fast experimentation cycles for AI use cases.
• Test AI workflows (including agent behavior) under real-world scenarios.
• Identify edge cases, failure modes, and integration issues; support fixes and improvements.
• Assist in setting up basic monitoring (logs, alerts, performance metrics).
• Create and maintain deployment runbooks, integration documentation, and troubleshooting guides.
• Ensure solutions adhere to data security, compliance, and audit requirements.

Forward Deployment Engineer – AI, Agentic AI, Agile Delivery

Auditor

• Apply in‑depth knowledge of CPT/HCPCS coding, APC payment methodologies, and outpatient regulatory guidelines to audit UB‑04 facility claims only, ensuring accurate APC assignment, proper packaging, and compliant facility billing.
• Perform detailed hospital outpatient facility audits with a strong focus on APC assignment, payment status indicators, revenue code alignment, and OPPS reimbursement logic.
• Review outpatient claims to validate correct CPT/HCPCS-to-APC mapping, including appropriate assignment of:
• – Significant procedure APCs vs. packaged services
• – Comprehensive APCs (C-APCs)
• – Composite APCs where applicable
• Audit UB‑04 facility claims to ensure accurate reporting of CPT/HCPCS codes, modifiers, revenue codes, and charge structures that directly impact APC payment.
• Conduct audits across infusion therapy, outpatient surgeries, imaging, and interventional radiology, such as:
• – Verifying correct APC assignment for chemotherapy and non-chemotherapy infusions, hydration services, and observation-related services
• – Reviewing outpatient surgical encounters to ensure correct APC selection based on procedure complexity and status indicators
• – Auditing interventional radiology encounters to confirm appropriate APC grouping and compliance with bundling rules.

Outpatient Auditor III – Certified

Recruitment

• Collaborate with hiring managers to understand organizational plans and talent requirements.
• Utilize various sourcing methods, from community services to online platforms, to attract top talent.
• Evaluate candidate qualifications through interviews and assessments.
• Coordinate leadership interviews, managing logistics as needed.
• Partner with hiring managers to make informed hiring decisions.
• Recommend innovative practices to enhance organization attractiveness and competitiveness.
• Stay updated on recruitment regulations to ensure compliance.
• Contribute to HR and organizational goals through effective talent acquisition strategies.

Contract Recruiter

• Lead the design, build, and validation of ETL pipelines supporting the Risk Data Warehouse
• Make and document ETL and data flow design decisions, ensuring traceability and regulatory compliance
• Deliver high-quality data pipelines supporting Basel 3.1, Murex migration, and credit risk reporting
• Define and implement data lineage, controls, and validation frameworks
• Provide hands-on technical leadership across DataStage and Oracle development
• Collaborate with risk, trading, and engineering stakeholders to gather and translate requirements into scalable data solutions
• Act as the primary escalation point for critical RDW incidents, including triage, root cause analysis, and resolution
• Produce production-ready artefacts (monitoring, runbooks, failure handling, support documentation)
• Drive continuous improvement through post-incident reviews and corrective actions

Lead Data Engineer

Human Resources

• Own and support end-to-end employee lifecycle activities, including onboarding, probation, role changes, promotions and offboarding
• Act as a first point of contact for HR queries, providing guidance and support to employees and managers
• Maintain and manage HR systems, employee records and documentation, ensuring accuracy and compliance
• Support absence management, leave processes and HR operations, ensuring consistency and adherence to policy
• Assist with HR reporting, audits, compliance and payroll-related administration
• Prepare and issue contracts, employee letters and HR documentation in line with policies
• Contribute to employee engagement initiatives and HR projects across the UK and Ireland
• Partner with Talent Acquisition and hiring managers to support end-to-end recruitment activity
• Draft and post job descriptions and adverts, ensuring alignment with business requirements
• Support CV screening and candidate shortlisting where required
• Coordinate interviews and hiring processes, ensuring a seamless candidate experience
• Assist with offer management and onboarding coordination
• Maintain recruitment data, trackers and reporting to support hiring decisions
• Coordinate onboarding processes, ensuring a smooth and engaging new joiner experience
• Manage pre-employment checks, documentation and onboarding timelines
• Work closely with hiring managers to ensure readiness for new joiners (systems, access, induction)
• Continuously improve onboarding processes through feedback and process enhancements
• Work closely with HR and business stakeholders to support workforce planning and talent initiatives
• Collaborate on HR and Talent projects, including employer branding, DE&I and process improvements
• Provide input into best practice, policies and process enhancements across HR and recruitment
• Build strong relationships with managers to support both people-related and hiring needs

HR Generalist

• Design, build, and maintain data ingestion and transformation pipelines using Databricks
• Develop and support data pipelines across Bronze, Silver and Gold layers
• Implement batch and streaming data pipelines using tools such as Databricks, Spark, and Azure Data Factory (ADF)
• Work closely with Data Architects and business stakeholders to understand requirements
• Support the implementation of data quality checks, validation rules, and monitoring processes
• Assist in optimising data pipeline performance, scalability, and cost efficiency
• Follow established best practices for data governance, lineage, and metadata management
• Support testing, deployment, and release processes
• Create and maintain technical documentation
• Stay up to date with Databricks features and modern data engineering practices

Senior Databricks Data Engineer

• Understand and translate business needs into data models supporting long-term solutions.
• Perform reverse engineering of physical data models from databases and SQL scripts.
• Analyse data-related system integration challenges and propose appropriate solutions.
• Assist with and support setting the data architecture direction (including data movement approach, architecture/technology strategy, and any other data related considerations to ensure business value).

AWS Data Engineer

Actuary

• Complete understanding of the current state of affairs and problem statement
• Interacting with clients on regular basis, understanding their requirements and transforming that into business framework and providing actuarial solutions
• Work on transformation/automation initiative.
• Build actuarial models for life insurance products.
• Perform UAT testing, Unit testing, regression testing etc. for Actuarial model testing & validation.
• Excellent written and verbal communication skills

Actuarial A1

• Design and implement data pipelines
• Optimize data processing and storage
• Ensure data solutions meet performance standards
• Provide technical support
• Collaborate with stakeholders.

Risk

• Enhance Data Quality Monitoring
• Improve and extend the Data Quality (DQ) dashboards to better identify and support remediation of data issues.
• Define and implement additional accuracy-focused data quality rules as understanding of the data evolves.
• Leverage Dataiku to build and automate data pipelines that feed DQ dashboards, reducing reliance on embedded queries within Power BI reports.
• Configure and maintain data quality rules for key data products.
• Support the definition and tracking of strategy and data quality metrics.
• Curate physical data assets in Alation, including business and technical definitions, data quality rules, PI/PII flags, and data lineage.
• Maintain alignment between report definitions in Alation and published reports to ensure consistency and trust in reported metrics.
• Document lineage from source systems to target systems and downstream reports. Maintain and enrich the data catalog with business and technical metadata.
• Handle catalog updates and documentation with minimal supervision - Work with business users, data owners, and data engineers to clarify definitions and resolve data issues.
• Create and update glossary terms, business definitions, ownership details, and data classifications
• Provide limited support to Master Data Management (MDM) initiatives as needed.

Data Governance Analyst

Data Scientist

• Emphasis is on providing business insights and managing end to end project delivery
• Structure analytical solution to address business objectives and problem solving
• Analyze structured and unstructured data from a number of drivers in the interest of solving specific questions/problems with processes in the various functional areas

EXL