Devox Software

We are looking for a proactive and detail-oriented Project Manager to join our growing team. In this role, you will support the planning, coordination, and delivery of IT projects for our clients. You will work closely with project managers, development teams, and clients to ensure successful project execution.

Key Responsibilities:

• Assist in planning and organizing project activities and resources
• Coordinate communication between clients and internal teams
• Track project progress and update project documentation
• Monitor timelines, deliverables, and budgets under supervision of a Senior Project Manager
• Prepare status reports and meeting notes
• Help identify and mitigate project risks and issues

• Support the team in meeting project goals and client expectations

   

Requirements:

• Strong organizational and communication skills
• Ability to multitask and work in a fast-paced environment
• Basic understanding of IT project lifecycle and Agile methodologies is a plus
• 2+ years of experience as Project Manager/ Coordinator
• Experience in IT-outsource company
• Proficiency with project management tools (e.g., Jira, Trello, Asana) is a plus

• Upper-intermediate English (spoken and written)

   

What We Offer:

• Opportunity to grow your career in IT project management
• Friendly and collaborative team environment
• Professional development and training support
• Flexible working hours and remote options
• Competitive compensation

Selection Process:
Our hiring process consists of three stages:

1. Pre-screening: Review of your CV and cover letter
2. Final Interview: A meeting with our CEO and Commercial Director

Project Overview:
We are building a new CRM system in Dynamics 365 to manage bookings and customer relationships with both instructors and candidates for our client’s training courses.
As part of this initiative, we are launching a data migration project to ensure all required data is moved and ready ahead of go live.

Role Description:
We are looking for an experienced specialist) to join the project team. The consultant will work closely with the CRM build team and the customer’s technical team to design, implement, and deliver data migration pipelines to and from Microsoft Dataverse.

Responsibilities:

• Design and implement ETL pipelines using Azure Data Factory.
• Migrate data to/from Microsoft Dataverse in alignment with the migration strategy.
• Collaborate with CRM developers and customer technical teams to ensure data consistency and quality.
• Support testing, validation, and troubleshooting during the migration phases.
• Provide documentation and knowledge transfer as required.

Requirements:

• Strong hands-on experience with Azure Data Factory for ETL / data migration.
• Proven track record of delivering data migration projects, ideally involving Microsoft Dataverse.
• Solid understanding of ETL concepts, data mapping, and data quality assurance.
• Excellent problem-solving skills and ability to work collaboratively in a project team.
• Good verbal and written English communication skills are essential.

Project
Global freight management solutions and services, specializing in Freight Audit & Payment, Order Management, Supplier Management, Visibility, TMS and Freight Spend Analytics.

Overview
We are looking for a Data Scientist with strong background in statistics and probability theory to help us build intelligent analytical solutions. The current focus is on outlier detection in freight management data, with further development toward anomaly detection and forecasting models for logistics and freight spend. The role requires both deep analytical thinking and practical hands-on work with data, from SQL extraction to model deployment.

Key Responsibilities

• Apply statistical methods and machine learning techniques for outlier and anomaly detection.
• Design and develop forecasting models to predict freight costs, shipment volumes, and logistics trends.
• Extract, preprocess, and transform large datasets directly from SQL databases.
• Categorize exceptions into business-defined groups (e.g., High Value Exceptions, Accessorial Charge Exceptions, Unexpected Origin/Destination).
• Collaborate with business analysts to align analytical approaches with domain requirements.
• Use dashboards (e.g., nSight) for validation, visualization, and reporting of results.
• Ensure models are interpretable, scalable, and deliver actionable insights.

Requirements

• Strong foundation in statistics and probability theory.
• Proficiency in Python with libraries such as pandas, numpy, matplotlib, scikit-learn.
• Proven experience with outlier/anomaly detection techniques.
• Hands-on experience in forecasting models (time-series, regression, or advanced ML methods).
• Strong SQL skills for working with large datasets.
• Ability to communicate findings effectively to both technical and non-technical stakeholders.

Nice to Have

• Experience with ML frameworks (TensorFlow, PyTorch).
• Familiarity with MLOps practices and model deployment.
• Exposure to logistics, supply chain, or financial data.
• Knowledge of cloud platforms (AWS, GCP, Azure).

Project Overview:
We are building a new CRM system in Dynamics 365 to manage bookings and customer relationships with both instructors and candidates for our client’s training courses.
As part of this initiative, we are launching a data migration project to ensure all required data is moved and ready ahead of go live.

Role Description:
We are looking for an experienced specialist to join the project team. The consultant will work closely with the CRM build team and the customer’s technical team to design, implement, and deliver data migration pipelines to and from Microsoft Dataverse.

Responsibilities:

• Design and implement ETL pipelines using Azure Data Factory.
• Migrate data to/from Microsoft Dataverse in alignment with the migration strategy.
• Collaborate with CRM developers and customer technical teams to ensure data consistency and quality.
• Support testing, validation, and troubleshooting during the migration phases.
• Provide documentation and knowledge transfer as required.

Requirements:

• Strong hands-on experience with Azure Data Factory for ETL / data migration.
• Proven track record of delivering data migration projects, ideally involving Microsoft Dataverse.
• Solid understanding of ETL concepts, data mapping, and data quality assurance.
• Excellent problem-solving skills and ability to work collaboratively in a project team.
• Good verbal and written English communication skills are essential.

Project
Global freight management solutions and services, specializing in Freight Audit & Payment, Order Management, Supplier Management, Visibility, TMS and Freight Spend Analytics.

Overview
We are looking for a Data Scientist with strong background in statistics and probability theory to help us build intelligent analytical solutions. The current focus is on outlier detection in freight management data, with further development toward anomaly detection and forecasting models for logistics and freight spend. The role requires both deep analytical thinking and practical hands-on work with data, from SQL extraction to model deployment.

Key Responsibilities

• Apply statistical methods and machine learning techniques for outlier and anomaly detection.
• Design and develop forecasting models to predict freight costs, shipment volumes, and logistics trends.
• Extract, preprocess, and transform large datasets directly from SQL databases.
• Categorize exceptions into business-defined groups (e.g., High Value Exceptions, Accessorial Charge Exceptions, Unexpected Origin/Destination).
• Collaborate with business analysts to align analytical approaches with domain requirements.
• Use dashboards (e.g., nSight) for validation, visualization, and reporting of results.
• Ensure models are interpretable, scalable, and deliver actionable insights.

Requirements

• Strong foundation in statistics and probability theory.
• Proficiency in Python with libraries such as pandas, numpy, matplotlib, scikit-learn.
• Proven experience with outlier/anomaly detection techniques.
• Hands-on experience in forecasting models (time-series, regression, or advanced ML methods).
• Strong SQL skills for working with large datasets.
• Ability to communicate findings effectively to both technical and non-technical stakeholders.

Nice to Have

• Experience with ML frameworks (TensorFlow, PyTorch).
• Familiarity with MLOps practices and model deployment.
• Exposure to logistics, supply chain, or financial data.
• Knowledge of cloud platforms (AWS, GCP, Azure).

Project: Global UK news outlet

We are looking for a skilled Node.js Developer with a strong focus on JS to join our team. If you enjoy working on both frontend and backend, building scalable applications, and collaborating with a dynamic team, we’d love to hear from you!

Requirements:
— Experience with Node.js for API development.
— Proficiency in React, JavaScript, HTML(5), CSS, and JS libraries.
— Familiarity with database technologies (SQL, NoSQL) and cloud platforms is a plus.
— Understanding of software development best practices, including version control (Git) and CI/CD pipelines.
— Strong problem-solving skills and attention to detail.

Responsibilities:
— Design and implement RESTful APIs and microservices with Node.js and Java-based frameworks.
— Build efficient, reusable, and modular components with JavaScript, HTML(5), CSS, and modern JS libraries.
— Optimize performance, ensure high availability, and maintain security best practices.
— Collaborate with UX designers, product managers, and other developers to deliver high-quality solutions.
— Debug, troubleshoot, and enhance existing applications

We are offering:
— Transparent strategy and thoughtful management that keep everyone aligned
— Space for personal growth and career development without limits
— A culture of continuous learning: internal courses, workshops, and English classes twice a week
— Skill up events where we share experience and stay on top of trends
— Competitive perks: flexible schedule, a strong compensation package, support for professional certifications, and generous vacation policy
— Team spirit that thrives through regular events, gatherings, and celebrations

Project
Global freight management solutions and services, specializing in Freight Audit & Payment, Order Management, Supplier Management, Visibility, TMS and Freight Spend Analytics.

Overview
We are looking for a Data Scientist with strong background in statistics and probability theory to help us build intelligent analytical solutions. The current focus is on outlier detection in freight management data, with further development toward anomaly detection and forecasting models for logistics and freight spend. The role requires both deep analytical thinking and practical hands-on work with data, from SQL extraction to model deployment.

Key Responsibilities

• Apply statistical methods and machine learning techniques for outlier and anomaly detection.
• Design and develop forecasting models to predict freight costs, shipment volumes, and logistics trends.
• Extract, preprocess, and transform large datasets directly from SQL databases.
• Categorize exceptions into business-defined groups (e.g., High Value Exceptions, Accessorial Charge Exceptions, Unexpected Origin/Destination).
• Collaborate with business analysts to align analytical approaches with domain requirements.
• Use dashboards (e.g., nSight) for validation, visualization, and reporting of results.

• Ensure models are interpretable, scalable, and deliver actionable insights.

   

Requirements

• Strong foundation in statistics and probability theory.
• Proficiency in Python with libraries such as pandas, numpy, matplotlib, scikit-learn.
• Proven experience with outlier/anomaly detection techniques.
• Hands-on experience in forecasting models (time-series, regression, or advanced ML methods).
• Strong SQL skills for working with large datasets.

• Ability to communicate findings effectively to both technical and non-technical stakeholders.

   

Nice to Have

• Experience with ML frameworks (TensorFlow, PyTorch).
• Familiarity with MLOps practices and model deployment.
• Exposure to logistics, supply chain, or financial data.
• Knowledge of cloud platforms (AWS, GCP, Azure).