Intermediate data modeler Job at Randstad (Calgary)

Data Science Intermediate Analyst

The Data Science Intermediate Analyst is a developing professional role. Deals w...

Location

Mexico , Ciudad De Mexico

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

2-5 years experience using tools for statistical modeling of large data sets
Ability to effectively use complex analytical, interpretive and problem solving techniques
Analytical, flexible, team-oriented and has good interpersonal/communication skills
Demonstrated influencing, facilitation and partnering skills
Proficient in Microsoft
Indispensable experiencia profesional en paquetes estadísticos (SAS Avanzado, SQL, R Intermedio y Python intermedio, Spark deseable).

Job Responsibility

Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
Mines and analyzes data from various banking platforms to drive optimization and improve data quality
Delivers analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan
Consults with business clients to determine system functional specifications
Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards
recommends solutions
Leads system change process from requirements through implementation
provides user and operational support of application to business users
Formulates and defines systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards
Impacts the business directly by ensuring the quality of work provided by self and others

What we offer

Equal opportunity employer
Global workforce benefits supporting well-being, growth, and work-life balance.

Fulltime

Liquidity Requirements and Testing Intermediate Analyst

The role involves understanding and executing liquidity testing, contributing to...

Location

India , Mumbai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

3+ years of related experience
Financial Services Industry and Project Management experience preferred
Proficient in Microsoft Office with an emphasis on MS Excel
Working knowledge of related industry practices and standards
Ability to work with multiple functions
Proven problem-solving skills
Consistently demonstrates clear and concise written and verbal communication skill

Job Responsibility

Has knowledge on FR2052a and other liquidity metrics such as LCR/ NSFR and other liquidity submissions
Understand and execute testing following strict standards and ensuring impact is fully understood for complex products/reports assigned
Be a key participant in working groups, present items under testing and articulate expected impact and testing approach
Identify, communicate, and escalate (as applicable) risks to testing where timeliness or quality of testing could be compromised
Ensure exception processes as applicable, when triggered are enforced and documented
Be closely familiar and follow documented Standard Operating procedures across the testing lifecycle
Identify, advocate for, and execute improvements or automation related to the process
Acts as SME to senior stakeholders and /or other team members
Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

What we offer

Resources to meet your unique needs
Empowerment to make healthy decisions
Financial well-being support

Fulltime

Senior Data Engineer

This project is designed for consulting companies that provide analytics and pre...

Location

Salary:

Not provided

Lightpoint Global

Expiration Date

Until further notice

Requirements

successfully implemented and released data integration services or APIs using modern Python frameworks in the past 4 years
successfully designed data models and schemas for analytics or data warehousing solutions
strong analysis and problem solving skills
strong knowledge of Python programming language and data engineering
deep understanding of good programming practices, design patterns, and software architecture principles
ability to work as part of a team by contributing to product backlog reviews and solution design and implementation
be disciplined in implementing software in a timely manner while ensuring product quality isn't compromised
formal training in software engineering, computer science, computer engineering, or data engineering
have working knowledge with Apache Airflow or a similar technology for workflow orchestration
have working knowledge with dbt (data build tool) for analytics transformation workflows

Job Responsibility

work in an agile team to design, develop, and implement data integration services that connect diverse data sources including event tracking platforms (GA4, Segment), databases, APIs, and third-party systems
build and maintain robust data pipelines using Apache Airflow, dbt, and Spark to orchestrate complex workflows and transform raw data into analytics-ready datasets in Snowflake
develop Python-based integration services and APIs that enable seamless data flow between various data technologies and downstream applications
collaborate actively with data analysts, analytics engineers, and platform teams to understand requirements, troubleshoot data issues, and optimize pipeline performance
participate in code reviews, sprint planning, and retrospectives to ensure high-quality, production-ready code by end of each sprint
contribute to the continuous improvement of data platform infrastructure, development practices, and deployment processes in accordance with CI/CD best practices

Fulltime

Business Analyst DWH

Within the Performance & Compliance tribe, we have an open position for a DWH Bu...

Location

Romania , Bucharest

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

A good level of knowledge of banking products and dependencies between different banking areas
Ability to analyze and understand a data set and the correlations between these data
Ability to analyze business requirements and write related functional specifications
Ability to write and apply test scenarios (functional tests)
Ability to identify the impact of the projects in which they work
Ability to provide user support in the use of new developments
Good knowledge of project methodology
Very good knowledge in the use of Microsoft Office products
Good knowledge of SQL, DWH concepts, data modeling
Intermediate-advanced English language skills

Job Responsibility

Performs business analysis of user requirements
Provides support to business departments in the detailed definition of requirements
Proposes definitions of business terms, creates the necessary referentials and conceptual modeling of data in the DWH
Creates specific documentation, aiming to create quality deliverables: functional specification, inventory and dictionary of business terms, specification for referentials, technical specification, test scenarios, user guides related to new developments
Performs or provides support for functional approval tests of new referentials/data/reports/functionalities, respectively non-regression tests of existing referentials/data/reports/functionalities
Ensures compliance with delivery deadlines established within projects
Provides support to users from the business area in the acceptance tests carried out by them
Change Management: ensures communication to users regarding new developments made on the DWH platform and the transmission of user guides for new applications
participates in user training
Actively participates in project review/retrospective meetings, sends constructive feedback and proposals for optimizing the way of working

What we offer

Full access to foreign language learning platform
Personalized access to tech learning platforms
Tailored workshops and trainings to sustain your growth
Medical insurance
Meal tickets
Monthly budget to allocate on flexible benefit platform
Access to 7 Card services
Wellbeing activities and gatherings

Fulltime

Business Analyst Dwh

Within the Performance & Compliance tribe, we have an open position for a DWH Bu...

Location

Romania , Bucharest

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

A good level of knowledge of banking products and dependencies between different banking areas
ability to analyze and understand a data set and the correlations between these data
ability to analyze business requirements and write related functional specifications
ability to write and apply test scenarios (functional tests)
ability to identify the impact of the projects in which they work
ability to provide user support in the use of new developments
good knowledge of project methodology
very good knowledge in the use of Microsoft Office products
good knowledge of SQL, DWH concepts, data modeling
intermediate-advanced English language skills

Job Responsibility

Performs business analysis of user requirements
provides support to business departments in the detailed definition of requirements
proposes definitions of business terms, creates the necessary referentials and conceptual modeling of data in the DWH
creates specific documentation, aiming to create quality deliverables: functional specification, inventory and dictionary of business terms, specification for referentials, technical specification, test scenarios, user guides related to new developments
performs or provides support for functional approval tests of new referentials/data/reports/functionalities, respectively non-regression tests of existing referentials/data/reports/functionalities
ensures compliance with delivery deadlines established within projects
provides support to users from the business area in the acceptance tests carried out by them
change management: ensures communication to users regarding new developments made on the DWH platform and the transmission of user guides for new applications
participates in user training
actively participates in project review/retrospective meetings, sends constructive feedback and proposals for optimizing the way of working

What we offer

Full access to foreign language learning platform
personalized access to tech learning platforms
tailored workshops and trainings to sustain your growth
medical insurance
meal tickets
monthly budget to allocate on flexible benefit platform
access to 7 Card services
wellbeing activities and gatherings

Fulltime

Senior Data Engineer

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...

Location

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

5+ years of experience in data engineering
Experience in AWS
Experience handling real-time and batch data flow and data warehousing with tools and technologies like Airflow, Dagster, Kafka, Apache Druid, Spark, dbt, etc.
Proficiency in programming languages relevant to data engineering, such as Python and SQL
Proficiency with Infrastructure as Code (IaC) technologies like Terraform or AWS CloudFormation
Experience in building scalable APIs
Familiarity with Data Governance aspects like Quality, Discovery, Lineage, Security, Business Glossary, Modeling, Master Data, and Cost Optimization
Upper-Intermediate or higher English skills
Ability to take ownership, solve problems proactively, and collaborate effectively in dynamic settings

Job Responsibility

Collaborate closely with clients to deeply understand their existing IT environments, applications, business requirements, and digital transformation goals
Collect and manage large volumes of varied data sets
Work directly with ML Engineers to create robust and resilient data pipelines that feed Data Products
Define data models that integrate disparate data across the organization
Design, implement, and maintain ETL/ELT data pipelines
Perform data transformations using tools such as Spark, Trino, and AWS Athena to handle large volumes of data efficiently
Develop, continuously test, and deploy Data API Products with Python and frameworks like Flask or FastAPI

What we offer

Long-term B2B collaboration
Paid vacations and sick leaves
Public holidays
Compensation for medical insurance or sports coverage
External and Internal educational opportunities and AWS certifications
A collaborative local team and international project exposure

Senior Data Engineer

Provectus, a leading AI consultancy and solutions provider specializing in Data ...

Location

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Experience handling real-time and batch data flow and data warehousing with tools and technologies like Airflow, Dagster, Kafka, Apache Druid, Spark, dbt, etc.
Experience in AWS
Proficiency in programming languages relevant to data engineering, such as Python and SQL
Proficiency with Infrastructure as Code (IaC) technologies like Terraform or AWS CloudFormation
Experience in building scalable APIs
Familiarity with Data Governance aspects like Quality, Discovery, Lineage, Security, Business Glossary, Modeling, Master Data, and Cost Optimization
Upper-Intermediate or higher English skills
Ability to take ownership, solve problems proactively, and collaborate effectively in dynamic settings

Job Responsibility

Collaborate closely with clients to deeply understand their existing IT environments, applications, business requirements, and digital transformation goals
Collect and manage large volumes of varied data sets
Work directly with ML Engineers to create robust and resilient data pipelines that feed Data Products
Define data models that integrate disparate data across the organization
Design, implement, and maintain ETL/ELT data pipelines
Perform data transformations using tools such as Spark, Trino, and AWS Athena to handle large volumes of data efficiently
Develop, continuously test, and deploy Data API Products with Python and frameworks like Flask or FastAPI

What we offer

Participate in internal training programs (Leadership, Public Speaking, etc.) with full support for AWS and other professional certifications
Work with the latest AI tools, premium subscriptions, and the freedom to use them in your daily work
Long-term B2B collaboration
100% remote — with flexible hours
Collaboration with an international, cross-functional team
Comprehensive private medical insurance or budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work
Special gifts for weddings, childbirth, and other personal milestones

Senior Data Engineer

Provectus, a leading AI consultancy and solutions provider specializing in Data ...

Location

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Experience handling real-time and batch data flow and data warehousing with tools and technologies like Airflow, Dagster, Kafka, Apache Druid, Spark, dbt, etc.
Experience in AWS
Proficiency in programming languages relevant to data engineering, such as Python and SQL
Proficiency with Infrastructure as Code (IaC) technologies like Terraform or AWS CloudFormation
Experience in building scalable APIs
Familiarity with Data Governance aspects like Quality, Discovery, Lineage, Security, Business Glossary, Modeling, Master Data, and Cost Optimization
Upper-Intermediate or higher English skills
Ability to take ownership, solve problems proactively, and collaborate effectively in dynamic settings

Job Responsibility

Collaborate closely with clients to deeply understand their existing IT environments, applications, business requirements, and digital transformation goals
Collect and manage large volumes of varied data sets
Work directly with ML Engineers to create robust and resilient data pipelines that feed Data Products
Define data models that integrate disparate data across the organization
Design, implement, and maintain ETL/ELT data pipelines
Perform data transformations using tools such as Spark, Trino, and AWS Athena to handle large volumes of data efficiently
Develop, continuously test, and deploy Data API Products with Python and frameworks like Flask or FastAPI

What we offer

Participate in internal training programs (Leadership, Public Speaking, etc.) with full support for AWS and other professional certifications
Work with the latest AI tools, premium subscriptions, and the freedom to use them in your daily work
Collaboration with an international, cross-functional team
Comprehensive private medical insurance or budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work
Special gifts for weddings, childbirth, and other personal milestones

Intermediate data modeler

Randstad

Location:
Canada , Calgary

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 22, 2026

Expiration:
April 02, 2026

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Job Description:

Job Responsibility:

Requirements:

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February 22, 2026

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