CrawlJobs Logo
Marriott Bonvoy Logo Marriott Bonvoy · Finance

Cluster Cost Controller

Fiji, Denarau Island Employment contract · Job Posted April 24, 2026
Apply Position
Job Link Share

Job Description

The Cluster Cost Controller should be detail-oriented and analytical, overseeing and managing all aspects of cost control within F&B operations. This role is critical in ensuring profitability, maintaining inventory accuracy and supporting operational efficiency. The ideal candidate will have a strong background in finance and accounting within the hospitality industry, with a deep understanding of F&B operations and cost management.

Job Responsibility

  • Monitor and analyze food and beverage costs to ensure profitability and identify cost saving opportunities.
  • Manage inventory control including receiving, storing, issuing and conducting regular stock takes.
  • Coordinate with purchasing and operations teams to ensure cost effective procurement and supplier compliance.
  • Prepare and present cost reports and forecasts to support budgeting and financial planning.
  • Ensure compliance with internal controls and standards across all F&B operations.

Requirements

  • Degree in Finance, Accounting, or a related field.
  • Proven experience in a similar finance or accounting role, preferably within the hospitality industry.
  • Strong analytical, organizational, and communication skills.
  • Proficiency in financial systems and Microsoft Excel.

What we offer

  • Exclusive staff discounts on food and beverage and hotel rooms (including all properties within the Marriott International group) for you, your family and friends
  • Grow, develop, and progress with internationally recognized training programs, unlimited strategic development and exciting career opportunities within the Marriott International group
  • Genuine care for associates’ physical, emotional and financial wellbeing through our Employee Assistance Program
  • Work for the Largest Hotel Network in the World which values equality, diversity and inclusiveness
Marriott Bonvoy - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Cluster Cost Controller

8 matching positions

Internship Cost Controller

Are you interested in finance and hospitality and eager to gain hands-on experie...
Location
Location
Belgium , Ghent
Salary
Salary:
Not provided
aimbridgeemea.com Logo
Aimbridge Hospitality EMEA
Expiration Date
June 30, 2026
Flip Icon
Requirements
Requirements
  • Studying finance, accounting, hotel management, or a related field
  • Strong analytical and numerical skills
  • Eager to learn, detail-oriented, and committed to accuracy
  • Proficient with Excel and willing to learn reporting tools
  • Communicate clearly and constructively with others
  • Team player and flexible in approach to tasks
  • Fluent English (any other language is a plus)
  • Bonus: any experience with Opera, Symphony, Lightspeed, Venice, or Birchstreet is a plus
Job Responsibility
Job Responsibility
  • Assisting with inventory and stock control for F&B, housekeeping, maintenance, and other stores
  • Helping monitor and analyse cost ratios (food, beverage, consumables) and investigating variances
  • Supporting purchase order tracking and supplier pricing reviews
  • Collaborating with Chefs and F&B Managers on menu costing and recipe standardisation
  • Assisting in the preparation of monthly cost reports and financial documentation
  • Helping implement digital tools and dashboards for cost monitoring
  • Learning to promote cost awareness within the cluster and support process harmonisation initiatives
What we offer
What we offer
  • Dynamic internship in a top hotel under Marriott International
  • Hands-on experience in finance and cost control across multiple hotel brands
  • Mentorship from experienced finance professionals
  • Exposure to both operational and financial aspects of the hospitality sector
  • Opportunity to contribute to real projects and see your impact
  • Collaborative, supportive, and ambitious team environment
  • Monthly internship allowance of €750
  • Fulltime
Read More
Arrow Right
New

Senior Data Engineer

Within COO Technology, Wells Fargo is seeking a Senior Data Engineer to help sha...
Location
Location
United States , Iselin; Charlotte; Irving
Salary
Salary:
100000.00 - 196000.00 USD / Year
https://www.wellsfargo.com/ Logo
Wells Fargo
Expiration Date
June 11, 2026
Flip Icon
Requirements
Requirements
  • 4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 4+ years of data management experience within Public Cloud (GCP, AWS, Azure)
  • 4+ years of hands on experience of Python or Java, plus Spark SQL for building data pipelines, libraries, and automation tooling
  • 4+ years with orchestration tools (Cloud Composer/Airflow) and CI/CD (Cloud Build, Git-based workflows) for data workloads
Job Responsibility
Job Responsibility
  • Design and implement scalable, secure data platforms on Google Cloud using managed services (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer)
  • Build reusable frameworks and tooling (ingestion, transformation, quality, orchestration) that can be adopted by multiple product and domain teams
  • Enable self-service data consumption and governance by standardizing patterns, templates, and platform capabilities rather than one-off pipelines
  • Design logical and physical data platform architectures leveraging BigQuery, Dataflow/Apache Beam, Dataproc/Spark, Pub/Sub, and Cloud Storage
  • Define and implement standardized ingestion, transformation, and serving patterns (batch and streaming) as reusable blueprints
  • Optimize cost, performance, and reliability of GCP data workloads (partitioning, clustering, storage classes, autoscaling strategies)
  • Build opinionated data ingestion frameworks (e.g., config-driven pipelines, connectors, schema handling, error handling) on top of Dataflow, Dataproc, or Composer
  • Develop shared transformation libraries in Python/SQL/Beam (e.g., common SCD patterns, data quality checks, masking/tokenization routines)
  • Provide orchestration capabilities via Cloud Composer or Cloud Workflows with reusable DAGs/templates and CI/CD integration
  • Implement robust data modeling (dimensional, data vault, or canonical models) and semantic layers in BigQuery and related tools
What we offer
What we offer
  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Fulltime
!
Read More
Arrow Right

Manager_Infrastructure As Code (IAC) Specialist

We are seeking an Infrastructure as Code (IaC) Specialist to design, build, and ...
Location
Location
India , Pune
Salary
Salary:
Not provided
vodafone.com Logo
Vodafone
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experienced in Terraform, Kubernetes/AWS EKS, Helm charts, and CI/CD deployment with Argo CD
  • Skilled in GitHub and GitHub Actions for version control and automation
  • Strong knowledge of AWS networking (VPC, subnets, routing, load balancing, security groups)
  • Familiar with AWS services such as EC2, S3, RDS, EFS, OpenSearch, and CloudWatch
  • Comfortable working in Agile environments and applying DevOps principles
  • Certifications in AWS and Kubernetes are desirable
  • Goal-oriented, pragmatic, and eager to learn new technologies
Job Responsibility
Job Responsibility
  • Deploy, configure, and manage Kubernetes/EKS clusters for high availability and security
  • Implement GitOps principles for continuous delivery and infrastructure automation
  • Design and maintain Terraform modules for reusable infrastructure components
  • Develop and manage Argo workflows and Helm charts for automated deployments
  • Optimise cloud resources for performance and cost efficiency
  • Ensure compliance and security best practices across Kubernetes and AWS environments
  • Support mission-critical operations, including monitoring, alerting, and on-call duties
  • Troubleshoot incidents and manage service restoration
  • Drive engineering and implementation of new features and self-service capabilities
What we offer
What we offer
  • Opportunity to work on state-of-the-art infrastructure and cutting-edge technologies
  • Exposure to cloud-native architecture and DevOps practices
  • A collaborative, flexible team environment with strong work-life balance
  • Continuous learning and career development opportunities
  • Fulltime
Read More
Arrow Right

Associate Data Engineer

Location
Location
India , Hyderabad
Salary
Salary:
Not provided
amgen.com Logo
Amgen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 2-6 years of experience with Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Engineering, Mathematics, or a related field, or equivalent practical experience
  • Hands-on experience with Python for data processing, scripting, and automation
  • Strong working knowledge of PySpark and distributed data processing concepts
  • Proven hands-on experience using Databricks for data engineering, including notebooks, clusters, jobs, workflows, Delta tables, and performance optimization
  • Ability to build, maintain, and troubleshoot scalable ETL/ELT pipelines in Databricks
  • Experience working with Delta Lake and lakehouse architecture concepts
  • Working knowledge of SQL for querying, transforming, and validating data
  • Ability to work with structured and semi-structured data formats such as CSV, JSON, Parquet, and Delta
  • Understanding of data engineering concepts such as ETL/ELT, data pipelines, data lakes, data warehouses, batch processing, and data quality
  • Basic understanding of AI and machine learning concepts, including features, training datasets, model inputs/outputs, and model evaluation basics
Job Responsibility
Job Responsibility
  • Develop, test, and maintain data pipelines using Databricks, PySpark, and Python
  • Ingest, transform, and process structured and semi-structured data from multiple sources
  • Support the development of scalable ETL/ELT workflows for analytics, reporting, and machine learning use cases
  • Work with data engineers, analysts, and data scientists to understand data requirements and deliver reliable datasets
  • Perform data cleansing, validation, and quality checks to ensure accuracy and consistency
  • Optimize Spark jobs and Databricks notebooks for performance, reliability, and cost efficiency
  • Create and maintain documentation for data pipelines, workflows, data definitions, and processes
  • Assist in troubleshooting pipeline failures, data issues, and performance bottlenecks
  • Follow best practices for version control, code quality, testing, and deployment
  • Support basic AI/ML data preparation activities, including feature engineering, dataset creation, and model input preparation
  • Fulltime
Read More
Arrow Right

Head Of Infrastructure And Ai Systems

Radix is building the most trusted data and analytics platform in multifamily. J...
Location
Location
United States , Scottsdale
Salary
Salary:
Not provided
radix.com Logo
Radix (AZ)
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Brings 10 or more years of experience in platform, infrastructure, or systems engineering, with deep exposure to operating complex production systems rather than only building them
  • Demonstrates deep expertise in AWS core services, along with hands on experience in Azure, including identity federation and cross cloud integration patterns
  • Possesses production level experience with Kubernetes and strong proficiency in Databricks, including cluster management, scaling, security, Spark tuning, and data governance
  • Treats infrastructure as code as a default practice, with Terraform preferred, and builds robust observability systems across metrics, tracing, and logging with a proactive mindset
  • Thinks in systems, maintaining a full stack perspective from DNS through application layers to agent behavior, while identifying risks and anti patterns early
  • Operates with a strong Day 2 mindset, embedding reliability, operational readiness, and security as core design principles from the outset
  • Has real world experience integrating AI and LLM systems into production environments, with a deep understanding of agent safety, trust boundaries, observability, and failure modes
  • Is motivated by the challenge of enabling reliable collaboration between human engineers and AI agents, while staying current on the evolving AI infrastructure landscape
  • Exhibits curiosity, resilience, and adaptability when navigating ambiguity and working within fast moving, evolving systems
  • Thrives in high growth startup environments with strong ownership, operating with autonomy and transparency while leading through hands on execution
Job Responsibility
Job Responsibility
  • Architect and build the Agent Harness, the system of controls, context, and guardrails that govern how AI agents are deployed, monitored, constrained, and evolved across the platform
  • Define and enforce operational contracts between human engineers and AI agents, including access boundaries, audit trails, rollback mechanisms, and trust boundaries
  • Translate desired agent outcomes into concrete infrastructure requirements, including defining what context agents require, what systems they can interact with, and how failures are handled
  • Own the reliability and observability of agent driven workflows end to end, from initial invocation through downstream system impact
  • Evaluate, select, and integrate LLM tooling, agent orchestration frameworks, and emerging AI native infrastructure primitives as the ecosystem evolves
  • Own and operate all cloud infrastructure across AWS as primary and Azure, including compute, networking, storage, security posture, and cross cloud integration patterns
  • Architect, operate, and continuously improve Kubernetes clusters at production scale, including workload isolation, autoscaling strategies, cost optimization, and multi environment lifecycle management
  • Own and evolve the Databricks environment, including cluster configuration, job orchestration, access controls, and data governance, while defining clear infrastructure contracts between data engineering and the broader platform
  • Drive infrastructure as code practices with Terraform preferred and with a strong emphasis on repeatability, auditability, and operational simplicity
  • Ensure infrastructure is appropriately sized and cost efficient, intentionally architected for current team needs rather than speculative future scale
What we offer
What we offer
  • Medical, dental and vision coverage designed to support your wellbeing
  • Uncapped Paid Time Off
  • Pre-IPO Equity
  • Performance Bonus
  • Learn From the Best
  • Build Category-Defining Products
  • Fulltime
Read More
Arrow Right

Offshore Pod Leads

We are currently seeking a Offshore Pod Leads to join our team in TBD, Andaman a...
Location
Location
India , TBD
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
Read More
Arrow Right

Site Security Safety Health Environment Leader

The site SSHE leader has overall responsibility for managing Personal and Proces...
Location
Location
United Kingdom , Burton
Salary
Salary:
Not provided
unilever.com Logo
Unilever
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience in Supply Chain operations
  • Proven track record of analytical thinking and project management
  • University degree in Science or Engineering
  • Technology experience in engineering, modelling, data analysis, manufacturing chemistries, environmental operations, environmental impact on the planet, and how those technologies across Unilever impact risk is beneficial
  • Knowledge in human behaviour and work process associated with unplanned event management
  • Excellent knowledge of SSHE standards
  • Working knowledge using all SSHE IT tools and how those tools integrate into other functional work processes
  • Influencing skills and international business/cultural sensitivity
  • Good observation and auditing skills
  • Ability to influence strategic deliverables in a wide organization
Job Responsibility
Job Responsibility
  • Sets a SSHE Implementation Plan to deliver against the European and Global SSHE Strategies
  • Sets goals and plans to meet cluster and SSHE commitments
  • Manages the site SSHE team responsible to deliver results
  • Maintains a strong network across the geography to manage risk of upcoming changes and builds plans into existing priorities particularly in new capital projects, new business acquisitions and divestitures
  • Governance to drive strong SSHE culture
  • Leads the culture change process for SSHE across the site
  • Designs and operates a governance process to track site performance against all SSHE targets
  • Works across the organization to ensure progress meets company expectations
  • Leads the auditing program across the site ensuring simplification and full compliance
  • Ensures global governance tools like PAR, SPR, Safety Pillar, SHENet, MOC, SIRA, Power BI and others represent the geography accurately
What we offer
What we offer
  • competitive salary and pension scheme
  • annual bonus
  • subsidised gym membership
  • discounted staff shop
  • shares
  • hybrid working environment
  • flexible working options
  • Fulltime
Read More
Arrow Right
New

Lead Data Engineer

Within COO Technology, Wells Fargo is seeking a Lead Data Engineer to help shape...
Location
Location
United States , Iselin; Charlotte; Irving
Salary
Salary:
Not provided
https://www.wellsfargo.com/ Logo
Wells Fargo
Expiration Date
June 08, 2026
Flip Icon
Requirements
Requirements
  • 5+ years of Database Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 5+ years of data management experience within Public Cloud (GCP, AWS, Azure)
  • 5+ years of hands on experience of Python or Java, plus Spark SQL for building data pipelines, libraries, and automation tooling.
  • 5+ years with orchestration tools (Cloud Composer/Airflow) and CI/CD (Cloud Build, Git‑based workflows) for data workloads
Job Responsibility
Job Responsibility
  • Design and implement scalable, secure data platforms on Google Cloud using managed services (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer).)
  • Build reusable frameworks and tooling (ingestion, transformation, quality, orchestration) that can be adopted by multiple product and domain teams.
  • Enable self‑service data consumption and governance by standardizing patterns, templates, and platform capabilities rather than one‑off pipelines.
  • Design logical and physical data platform architectures leveraging BigQuery, Dataflow/Apache Beam, Dataproc/Spark, Pub/Sub, and Cloud Storage.
  • Define and implement standardized ingestion, transformation, and serving patterns (batch and streaming) as reusable blueprints.
  • Optimize cost, performance, and reliability of GCP data workloads (partitioning, clustering, storage classes, autoscaling strategies).
  • Build opinionated data ingestion frameworks (e.g., config‑driven pipelines, connectors, schema handling, error handling) on top of Dataflow, Dataproc, or Composer.
  • Develop shared transformation libraries in Python/SQL/Beam (e.g., common SCD patterns, data quality checks, masking/tokenization routines).
  • Provide orchestration capabilities via Cloud Composer or Cloud Workflows with reusable DAGs/templates and CI/CD integration.
  • Implement robust data modeling (dimensional, data vault, or canonical models) and semantic layers in BigQuery and related tools.
What we offer
What we offer
  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Fulltime
Read More
Arrow Right