Data and Infrastructure Consultant - Audit Analytics Job at cBEYONData

Data Scientist / Analytics Consultant

We are seeking a highly specialized Data Scientist / Analytics Consultant to sup...

Location

Ukraine , Lviv

Salary:

Not provided

ORIL

Expiration Date

Until further notice

Requirements

High proficiency in Python (Pandas, NumPy, Scikit-learn)
Hands-on experience integrating and evaluating standard real estate APIs and data providers (e.g., MLS feeds, ATTOM, CoreLogic, HouseCanary, SmartZip, or similar)
Experience working with spatial data and GIS tools (e.g., PostGIS, GeoPandas, H3)
Deep understanding of real estate investment metrics, including ARV (After Repair Value), Cap Rates, Yield
Proven track record of building, tuning, or auditing predictive pricing models (e.g., XGBoost, LightGBM, CatBoost, Random Forest, or other ensemble methods applied to real estate)
Ability to build clear dashboards (Tableau, Looker, PowerBI, etc.)
At least Upper-Intermediate English level (speaking & writing)

Job Responsibility

Conduct a comprehensive audit of existing real estate data providers and infrastructure
Benchmark and validate the performance of various AVMs and property data feeds
Analyze current underwriting and valuation models, identifying gaps, biases, or inefficiencies in pricing logic
Refine renovation assumptions and their impact on final pricing outputs
Deliver a clear, actionable roadmap and hands-on adjustments to improve the reliability of Investor Pricing Range
Collaborate closely with internal product and engineering teams to ensure swift implementation of your recommendations

Fulltime

Senior Consultant – IT Infrastructure & Security Audit

My client are looking for a Senior Consultant with strong experience in infrastr...

Location

Saudi Arabia , Riyadh

Salary:

Not provided

Salt

Expiration Date

Until further notice

Requirements

Proven experience in IT infrastructure, operations, or security audits at Senior Consultant or Assistant Manager level
Strong understanding of network security concepts (e.g. firewalls, VPNs, network segmentation)
Experience reviewing data centre operations and physical/technical security controls
Background in IT audit, technology risk, or information security
Strong analytical, communication, and stakeholder management skills

Job Responsibility

Perform audits of IT infrastructure and operations, focusing on security and resilience
Assess network security controls, including firewalls, VPNs, and related perimeter technologies
Review data centre and technical room operations, covering physical security, environmental controls, and operational processes
Identify control gaps and security risks, and provide clear, practical remediation recommendations
Prepare high-quality audit documentation and reports for management and senior stakeholders
Support engagement delivery and mentor junior team members

New

Technical Manager - Cutsheets

The Technical Manager – Cutsheets is responsible for the governance, accuracy an...

Location

Malaysia , Johor Bahru

Salary:

Not provided

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Proven experience in a technical, design or engineering role within data centres, structured cabling, construction or MEP environments
Experience reviewing technical documentation, specifications and submittals, including product data sheets, cutsheets, Bills of Materials and engineering drawings
Strong understanding of structured cabling systems, including copper and fibre, data centre infrastructure components, installation and design standards
Ability to interpret technical specifications, performance data and compliance requirements
Strong attention to detail and accuracy
excellent document control and organisational skills
ability to manage multiple projects and deadlines
strong stakeholder management and communication skills
problem-solving and analytical capability
Experience using document management systems and Microsoft Office, particularly Excel and SharePoint

Job Responsibility

Review and validate cutsheets against project design specifications, client requirements and standards, and regulatory and industry compliance requirements
Ensure all products meet performance, capacity and installation criteria prior to approval, and provide technical sign-off for product selection where required
Own the preparation and quality of technical submittal packages
Ensure all cutsheets are accurate, complete, version controlled, traceable and submitted in line with project timelines
Act as the central point of contact for all cutsheet-related queries
Work closely with Design and Engineering teams to validate design intent, Procurement teams to ensure correct product ordering, and Project Delivery teams to support installation and resolve issues
Ensure alignment between approved cutsheets, Bills of Materials and installed solutions
Develop and maintain cutsheet templates and document standards, naming conventions, filing structures and best practice guidance for project teams
Drive consistency across all regions and projects
Liaise with manufacturers and suppliers to obtain up-to-date cutsheets and technical documentation, clarify specifications and resolve discrepancies

Fulltime

Senior Application Operations Engineer (RMMS Manager – Confirm)

We are seeking a highly experienced RMMS Confirm specialist to take technical ow...

Location

United Kingdom , South Mimms

Salary:

Not provided

Egis in the UK

Expiration Date

Until further notice

Requirements

Substantial experience working with Brightly Confirm / RMMS or a comparable enterprise asset management platform
Experience acting as a senior technical specialist, application owner, product specialist, implementation consultant, service owner or application operations lead for a business critical system
Strong understanding of highways maintenance, asset management, inspections, work management, mobile working and asset data
Experience working directly with business stakeholders and asset leads to assess requirements and align system capability to operational processes
Experience supporting or defining system roadmaps, implementation plans, service improvements or future development priorities
Strong SQL and data skills, including experience with data validation, reporting support, data migration, data structures or operational analytics
Experience working with GIS, APIs, mobile applications, BI platforms, data platforms or enterprise integrations
Experience working with developers or technical teams to understand business critical integrations and data flows between systems
Strong understanding of testing, release readiness, change control, issue resolution and service improvement
Strong problem solving, communication, facilitation and stakeholder engagement skills

Job Responsibility

Take technical ownership of the Brightly Confirm / RMMS platform
Act as the internal subject matter expert for Confirm
Ensure Confirm is managed as a business critical platform
Work with asset leads and operational teams to understand requirements and align them with Confirm capability
Translate business needs into practical system requirements
Challenge and shape requirements to ensure efficient use of Confirm
Ensure business processes are aligned with Confirm capability
Build and maintain a clear roadmap for Confirm implementation and improvement
Identify opportunities for future Confirm usage development
Support longer term thinking about Confirm's place in the application landscape

What we offer

Equality, Diversity & Inclusion
Equal Opportunities employer

Fulltime

Senior Manager Engineering – Facilities & Engineering

In this vital role, you will lead Facilities & Engineering programs supporting s...

Location

United States , Juncos

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Doctorate degree in Engineering & 2 years of engineering industry experience OR Master’s degree in Engineering & 6 years of engineering industry experience OR Bachelor’s degree in Engineering & 8 years of engineering industry experience
minimum of 2 years experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the allocation of resources

Job Responsibility

Provide technical and operational leadership for site utility systems and facility infrastructure, including steam, chilled water, cooling towers, compressed air, water systems, condensate return, fuel systems, HVAC, facility automation, and related support systems
Lead reliability and asset management programs that improve system performance, lifecycle management, operational readiness, energy efficiency, and capacity
Establish and monitor key performance indicators, predictive maintenance tools, data analytics, and reliability engineering practices to identify risks and drive improvements
Lead root cause investigations and corrective and preventive actions for utility and facility system failures or performance deviations
Develop and execute long-term infrastructure renewal, proactive maintenance, and capital replacement strategies aligned with site and corporate objectives
Lead Facilities & Engineering digital transformation initiatives, including advanced analytics, automation, AI-based tools, predictive monitoring, digital twins, machine learning applications, and automated reporting platforms
Partner with site and corporate digital, automation, engineering, utility, energy, and sustainability teams to support long-term strategic roadmaps
Lead sustainability and energy management initiatives supporting decarbonization, water stewardship, energy reduction, resource efficiency, and environmental performance goals
Develop, prioritize, and manage departmental capital plans, budgets, and projects supporting infrastructure, reliability, sustainability, capacity, and business continuity
Provide engineering leadership for the design, installation, commissioning, qualification, startup, and implementation of facility and utility systems

What we offer

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental & vision coverage, and life & disability insurance
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models where possible

Fulltime

Director of Technology

Our Client is seeking a Director of Technology who will lead their overall techn...

Location

United States , New York

Salary:

180000.00 - 200000.00 USD / Year

Solomon Page

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
8+ years of progressive technology and IT leadership experience
Experience within commercial finance, specialty lending, banking, fintech, or other regulated financial services environments preferred
Strong understanding of cybersecurity, infrastructure management, cloud technologies, and enterprise systems
Experience managing software implementations, systems integrations, reporting platforms, and operational technology projects
Strong knowledge of Microsoft environments, Excel-based operational tools, Power BI, and ERP systems
Experience supporting customer-facing SaaS platforms and teams preferred
Demonstrable understanding of AI/ML concepts, capabilities, and limitations, with the ability to evaluate tools, assess vendor claims, and guide technology decisions
Working knowledge of AI-related data privacy, security, and regulatory frameworks (e.g. GDPR, CCPA, SOC 2, ISO42001), with experience establishing or maintaining governance policies that manage risk across client-facing data environments
Strong communication, organizational, and stakeholder management skills

Job Responsibility

Develop and execute the company's technology roadmap aligned with business objectives and growth initiatives
Serve as a strategic partner to executive leadership on technology planning, systems optimization, cybersecurity, AI governance, and operational scalability
Define and implement the company's AI usage policies, governance standards, and technology initiatives
Identify opportunities to automate workflows, improve reporting, and enhance operational efficiency across the organization
Evaluate and implement new technologies that support business growth and operational resilience
Effectively communicate strategies, opportunities, risks, project/program updates, issues, and go-forward options to senior management
Oversee company-wide laptop, mobile device, and end-user technology setup, administration, and lifecycle management
Provide and manage first-level technology support for all employees across the organization
Escalate and manage technology issues with external managed service providers, including primary oversight of the relationship with the company's MSP
Establish IT operational standards, documentation, and support procedures

Fulltime

Senior Predictive Analytics Analyst

We are seeking an expert Senior Predictive Analytics Analyst to champion the des...

Location

Canada , Toronto

Salary:

Not provided

Randstad

Expiration Date

July 26, 2026

Requirements

5+ years of progressive professional experience in a data science, econometric modeling, or predictive analytics capacity
Expert-level, hands-on programming skills in Python (and/or R) paired with advanced SQL scripting
Direct experience working within Databricks and building workflows inside Microsoft Azure or a comparable enterprise cloud environment
Proven experience implementing, debugging, and managing Google Analytics and Google Tag Manager tracking implementations from scratch
Practical familiarity with dedicated statistical tools (such as SAS, SPSS, Stata, or Hadoop environments) alongside advanced time-series forecasting and trend analysis
Bachelor’s or Master's degree in Data Science, Statistics, Economics, Mathematics, Computer Science, or a related quantitative field

Job Responsibility

Advanced Mathematical Modeling: Design, build, and run sophisticated predictive models using advanced analytics techniques, including multivariate regressions, time-series forecasting, panel data methods, survival analysis, conjoint analysis, and factor modeling
Data Pipeline Engineering: Extract, transform, and structure massive structured and unstructured datasets across enterprise data lakes and repositories using automated pipelines
Cloud Computing & Analytics: Architect and manage scalable data science workflows within Microsoft Databricks and cloud-native computing frameworks
Digital Tracking Operations: Implement, audit, and manage tracking scripts and custom trigger configurations using Google Analytics and Google Tag Manager (GTM) to capture user interaction data
Business Intelligence & Visualization: Translate complex algorithmic outcomes into interactive, clear enterprise dashboards and executive data visualizations utilizing Power BI
Database Programming: Query, optimize, and manage large-scale data architectures using high-performance SQL and relational/NoSQL configurations
Collaborative Data Governance: Act as a senior consultant to infrastructure engineers, developers, and product leads, ensuring algorithmic solutions align cleanly with data privacy and compliance guidelines

What we offer

Elite Predictive Scale: Lead high-visibility initiatives that leverage advanced econometric and behavioral science modeling to directly influence long-term enterprise strategies
Diversified Toolset Synergy: Expand your profile by commanding an advanced technical stack that unifies deep Python/SQL data science with Google marketing tech and Power BI analytics
Operational Independence: Take absolute ownership of your models—from initial data ingestion, pipeline engineering, and algorithm deployment up to final dashboard delivery
Structured Workspace: Benefit from a highly reliable, standard daytime corporate schedule within an collaborative environment in downtown Toronto

Fulltime

Offshore Pod Leads

We are currently seeking a Offshore Pod Leads to join our team in TBD, Andaman a...

Location

India , TBD

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

12+ years in data engineering with at least 5+ years of hands-on Informatica PowerCenter experience (mappings, sessions, workflows, transformations, parameter files, workflow monitor)
Strong proficiency in PySpark and Spark SQL for building production-grade ETL/ELT pipelines
Hands-on experience with Databricks (Spark clusters, notebooks, Jobs/Workflows, Delta Lake) — Databricks certification preferred
Solid understanding of AWS data services: S3, Redshift, Glue Data Catalog, IAM, CloudWatch
Experience migrating or re-platforming Informatica workloads to a modern data platform (Databricks, Spark, or cloud-native ETL)
Proficiency in SQL and familiarity with Redshift-specific SQL dialects and optimization patterns
Familiarity with Unity Catalog, Delta Live Tables, or similar data governance/pipeline orchestration frameworks is a strong plus
Experience with CI/CD tooling (Git, GitHub Actions, Jenkins, or similar) applied to data pipeline development
Proven track record leading a team of 4+ data engineers in a delivery-focused engagement or program
Strong analytical and problem-solving skills with the ability to work through ambiguous, undocumented legacy systems

Job Responsibility

Own the end-to-end technical design and implementation of the migration from the respective source platform to Databricks Lakehouse (Delta Lake, Unity Catalog, Databricks Workflows)
Conduct thorough assessments of existing ETL jobs — analyzing lineage, dependencies, transformation logic, scheduling, and data quality rules — prior to migration planning
Define migration patterns, reusable frameworks, and coding standards adopted across the pod
Architect scalable, cost-efficient pipelines using Databricks PySpark, Spark SQL, and Delta Live Tables (DLT) as appropriate
Make and document key architectural decisions (ADRs) with clear rationale and trade-off analysis
Drive adoption of software engineering best practices: version control (Git), CI/CD, unit testing, and code review within the pod
Directly lead a pod of 4–6 Data Engineers, providing technical mentorship, task assignment, code reviews, and unblocking day-to-day impediments
Manage sprint planning, backlog refinement, and progress tracking against migration milestones in close coordination with the Program Manager
Hold the team accountable for quality and velocity — proactively flag risks, scope changes, and dependencies before they become blockers
Conduct regular 1:1s and technical feedback sessions to support the professional growth of pod members

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Data and Infrastructure Consultant - Audit Analytics

Job Description

Job Responsibility

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