Proxet

We are seeking a Senior Data Engineer to design, build, and maintain data pipelines and workflows on Palantir Foundry within the real estate and investment management domain. In this role, you will focus on integrating diverse data sources, ensuring data quality, and enabling scalable data products that power analytics and applications. You’ll work as part of a cross-functional team, collaborating with product managers, analysts, and architects to deliver robust data solutions that drive business value.

About the role: 
As a Data Engineer, you’ll be responsible for developing and maintaining the pipelines, transformations, and data models that sit at the core of Foundry implementations. You’ll partner with stakeholders to translate requirements into technical solutions, making sure data is clean, reliable, and accessible to downstream users. Working closely with program leadership and senior engineers, you’ll help ensure that Foundry is leveraged effectively to support enterprise needs in accounting, reporting, and real estate.

Skills & Experience:

• Bachelor's degree in Computer Science, Engineering, or related field;
• 5+ years of experience in data engineering roles;
• Understanding of data governance, data modeling & analysis and data quality concepts and requirements;
• Understanding of data lifecycle, DataOps concepts, and basic design patterns;
• Experience with Palantir Foundry using: Ontology,  Ontology manager, Ontology functions /Actions;
• Strong knowledge of Palantir Foundry features  Pipeline builder, Workshop, Code repository, Builds;
• Strong knowledge in SQL, database management system and optimization;
• Strong understanding of ETL/ELT processes and workflow orchestration tools (e.g., Airflow) and real-time technologies;
• Proficiency in programming languages like Python, Typescript;
• 5+ years experience working with big data tools and cloud data platforms (at least one AWS, Azure, GCP);
• Knowledge of modern data warehousing tools like Snowflake, Databricks, Redshift;
• Experience with data visualization tools;
• Knowledge of machine learning frameworks;
• Understanding the Real estate industry domain specifics and integrations with ERP data are a plus;
• Analytical mindset with problem-solving skills for debugging complex systems;
• Excellent communication skills for collaborating with technical and non-technical teams.

Responsibilities:

• Design, develop and maintain scalable data processing systems and pipelines;
• Automate and improve data processes for scalability and efficiency;
• Optimize DB queries and systems for speed and efficiency;
• Design and implement efficient data storage solutions (e.g.,relational databases, data lakes, warehouses);
• Monitor data infrastructure for performance and reliability;
• Implement validation processes to ensure high-quality, clean, and reliable datasets, and advanced data governance frameworks;
• Develop tools/scripts to automate repetitive tasks for data processing and monitoring;
• Collaborate closely with the team members and other stakeholders;
• Provide technical support and mentoring to junior data engineers;
• Participate in data governance and compliance efforts;
• Document data pipelines, processes, and best practices;
• Evaluate and recommend new data technologies.
  
  
  
   

Proxet is a global IT services and consulting company partnering with leading enterprises across Data, AI, and Enterprise Software domains. Our teams turn complex engineering challenges into tangible business results for Fortune-level clients.

We’re now looking for a Visibility & Content Strategy Lead 

to help us tell these stories by transforming our technical depth and client success into powerful, consistent communication that strengthens Proxet’s brand presence worldwide.

The Visibility & Content Strategy Lead  will serve as the bridge between technical excellence and brand storytelling. This role involves transforming complex technical information and project insights into compelling, structured narratives that elevate the company’s brand presence.

You will audit existing materials, collaborate with technical and business stakeholders, and craft engaging content — including use cases, business cases, website copy, and thought leadership articles — that highlight the company’s expertise and market positioning.

The ideal candidate has a background in IT services or consulting, with a unique blend of analytical thinking, creativity, and strategic communication. A solid understanding of UI/UX principles is important to ensure that content not only informs but also resonates and flows intuitively across digital platforms.

Key Responsibilities:

• Review and audit existing case studies, client projects, and success stories to identify PR and content development opportunities.
• Develop clear, structured, and reusable materials such as use cases, articles, business cases, and website content for both technical and business audiences.
• Partner closely with leadership, engineering, and design teams to gather insights and translate them into coherent, impactful narratives aligned with the company’s value proposition.
• Ensure all materials are technically accurate, data-driven, and relevant to market trends and target audiences.
• Collaborate with UI/UX teams to integrate content seamlessly into digital platforms, enhancing user engagement and message clarity.
• Maintain a consistent and authentic brand voice across all communication channels, such as  website, social media, internal materials, and presentations.
• Contribute to developing an integrated communication strategy supporting marketing, recruitment, and brand visibility goals.
• Participate in editorial planning and ensure alignment between content priorities and business objectives.

Required Skills & Qualifications:

• 4–7 years of experience in content writing, PR, or communications within IT, data, or software development sectors.
• Proven ability to distill complex technical concepts into clear, engaging, and impactful messaging.
• Exceptional writing, editing, and storytelling skills in English (C1+ level). Spanish or Polish proficiency is a plus.
• Strong interpersonal and communication abilities to collaborate effectively with leadership, engineers, and cross-functional teams.
• Creative and proactive mindset — comfortable challenging assumptions, proposing ideas, and shaping narratives.
• Familiarity with UI/UX principles and website content architecture.
• Analytical approach with the ability to support content through data, insights, and research.
• Self-starter attitude with strong organizational and delivery skills.

Preferred:

• Experience with corporate PR, technical journalism, or employer branding in IT or consulting.
• Background in linguistics, journalism, communications, or computer science.
• Knowledge of content architecture and how personas interact with web content.
• Portfolio demonstrating previous work: articles, case studies, or branded content.

Personal Qualities:

• Flexible and adaptive to shifting priorities.
• Collaborative but confident to express independent viewpoints.
• Curious, analytical, and emotionally intelligent.
• Strong sense of ownership and accountability.

We offer:

• Fully remote role with flexibility across LATAM and European time zones.
• Competitive compensation and performance-based rewards.
• A unique professional opportunity for you to directly influence Proxet’s global brand positioning and communication strategy.
• Collaboration with senior leaders across technical, business, and creative domains.
• A dynamic, collaborative, and growth-driven environment where ideas turn into visible impact — and everyone is encouraged to pursue continuous professional development and creative ownership.
  
   

We are looking for an experienced Senior Power Apps developer to join our dynamic team. This role will involve developing, maintaining, and optimizing custom applications using PowerApps, integrating with PowerAutomate, and leveraging the Microsoft Azure ecosystem. The ideal candidate will possess strong skills in building complex solutions across cloud platforms and data services like Azure Data Factory, Azure SQL, Snowflake. 
 

About the project
 

Our client is a global real estate services company specializing in the management and development of commercial properties. Over the past several years, the organization has made significant strides in systematizing and standardizing its reporting infrastructure and capabilities, utilizing Azure, MS Power Platform, Snowflake. Due to the increased demand for reporting, the organization is seeking a dedicated team to expand capacity and free up existing resources.

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Skills & Experience

• Proficiency in PowerApps development, including experience with canvas and model-driven apps.
• Expertise in building automated workflows using PowerAutomate.
• Experience with Azure SQL for database development, querying, and performance tuning.
• Hands-on experience with Azure FunctionApps for serverless application development.
• Knowledge of Snowflake and Cherre for data warehousing and integration.
• Familiarity with cloud-native architectures and the Microsoft Azure ecosystem.
   

Nice to have

• Knowledge of modern data visualisation platforms such as PowerBI
• Experience with integration platforms like Workato for API orchestration and system integrations.
   

Responsibilities

• Design, develop, and deploy scalable applications using PowerApps.
• Automate workflows using PowerAutomate to enhance application functionality and streamline processes.
• Develop and maintain Azure FunctionApps to support event-driven and serverless architectures.
• Create, maintain, and optimize data pipelines using Azure Data Factory for data ingestion, transformation, and integration.
• Work with Azure SQL databases to design and optimize data structures, ensuring efficient data access and storage.
• Collaborate with data engineering teams to integrate Snowflake and Cherre for seamless data operations.
• Lead technical discussions and guide junior engineers in best practices related to application development, cloud architecture, and data integration.

Are you a Java Developer looking for new challenges? 
What about working with a high-profile client with millions of QPS? 
If you have experience developing high-performance distributed systems, this is the perfect opportunity to work on a new digital marketing management platform with a world-renowned client.
 
Project tech stack: 
Concurrency -  a high-load, low-latency system.
Cache: Aerospike, Memcached
Cloud: AWS, GCP
DB: PostgreSQL, Superset
Streams: Kafka, Kinesis
Data formats: Avro, Protobuf
Languages: Java, Scala, Python
 
About the project:
Our client is a leading streaming service based in the United States. With millions of users worldwide, its devices provide easy access to free TV, live news, sports, movies, etc. The client has an advertising business and also licenses its hardware and software to other companies.
 
Location:
Ukraine remote
 
Skills & Experience:
- 5+ years of experience building large-scale and low-latency distributed systems
- B.S. or M.S. degree in Computer Science, Engineering, or equivalent 
- Command of Java or C++
- Solid understanding of algorithms, data structures, performance optimization techniques, object-oriented programming, multi-threading, and real-time programming 
-Self-motivated individual with a high level of accountability and ownership
- Critical thinking and practical decision making
- Can do, results-oriented mindset
 
Will be a plus: 
- Experience with distributed caching, SQL/NoSQL, and other databases is a plus 
- Experience with Big Data and cloud services such as AWS/GCP is a plus
Experience in the advertising domain is a big plus 

Responsibilities:
- Work alongside a highly skilled engineering team to design, develop, and maintain large-scale, highly performing, real-time applications
- Own building features, driving directly with product and other engineering teams 
- Demonstrate excellent communication skills in working with technical and non-technical audiences 
- Be an evangelist for best practices across all functions – developers, QA, and infrastructure/ops 
- Be an evangelist for platform innovation and reuse 
- Deliver top-quality software in a timely fashion 

 

Senior Java Engineer (high-load product) 

Are you a Java Developer looking for new challenges? 
What about working with a high-profile client with millions of QPS? 
If you have experience developing high-performance distributed systems, this is the perfect opportunity to work on a new digital marketing management platform with a world-renowned client.
 
Project tech stack: 
Concurrency -  a high-load, low-latency system.
Cache: Aerospike, Memcached
Cloud: AWS, GCP
DB: PostgreSQL, Superset
Streams: Kafka, Kinesis
Data formats: Avro, Protobuf
Languages: Java, Scala, Python
 
 
About the project:
Our client is a leading streaming service based in the United States. With millions of users worldwide, its devices provide easy access to free TV, live news, sports, movies, etc. The client has an advertising business and also licenses its hardware and software to other companies.
 
Location: Ukraine remote
 
Skills & Experience:
- 4 - 8 years of experience building large-scale and low-latency distributed systems
- B.S. or M.S. degree in Computer Science, Engineering, or equivalent 
- Command of Java or C++
- Solid understanding of algorithms, data structures, performance optimization techniques, object-oriented programming, multi-threading, and real-time programming 
-Self-motivated individual with a high level of accountability and ownership
- Critical thinking and practical decision making
- Can do, results-oriented mindset
 
Will be a plus: 
- Experience with distributed caching, SQL/NoSQL, and other databases is a plus 
- Experience with Big Data and cloud services such as AWS/GCP is a plus
Experience in the advertising domain is a big plus 


 Responsibilities
- Work alongside a highly skilled engineering team to design, develop, and maintain large-scale, highly performing, real-time applications
- Own building features, driving directly with product and other engineering teams 
- Demonstrate excellent communication skills in working with technical and non-technical audiences 
- Be an evangelist for best practices across all functions – developers, QA, and infrastructure/ops 
- Be an evangelist for platform innovation and reuse 
- Deliver top-quality software in a timely fashion 

Are you a Java Developer looking for new challenges?
What about working with a high-profile client with millions of QPS?
If you have experience developing high-performance distributed systems, this is the perfect opportunity to work on a new digital marketing management platform with a world-renowned client.

Project tech stack:
Concurrency — a high-load, low-latency system.
Cache: Aerospike, Memcached
Cloud: AWS, GCP
DB: PostgreSQL, Superset
Streams: Kafka, Kinesis
Data formats: Avro, Protobuf
Languages: Java, Scala, Python

About the project:
Our client is a leading streaming service based in the United States. With millions of users worldwide, its devices provide easy access to free TV, live news, sports, movies, etc. The client has an advertising business and also licenses its hardware and software to other companies.

Location:
Ukraine remote

Skills & Experience:
— 5+ years of experience building large-scale and low-latency distributed systems
— B.S. or M.S. degree in Computer Science, Engineering, or equivalent
— Command of Java or C++
— Solid understanding of algorithms, data structures, performance optimization techniques, object-oriented programming, multi-threading, and real-time programming
— Self-motivated individual with a high level of accountability and ownership
— Critical thinking and practical decision making
— Can do, results-oriented mindset

Will be a plus:
— Experience with distributed caching, SQL/NoSQL, and other databases is a plus
— Experience with Big Data and cloud services such as AWS/GCP is a plus
— Experience in the advertising domain is a big plus

Responsibilities:
— Work alongside a highly skilled engineering team to design, develop, and maintain large-scale, highly performing, real-time applications
— Own building features, driving directly with product and other engineering teams
— Demonstrate excellent communication skills in working with technical and non-technical audiences
— Be an evangelist for best practices across all functions — developers, QA, and infrastructure/ops
— Be an evangelist for platform innovation and reuse
— Deliver top-quality software in a timely fashion

Role Overview

The Business Applications Manager is responsible for the configuration, optimization, and operational reliability of Proxet’s internal SaaS ecosystem. The role ensures that our key business systems are aligned with organisational needs, seamlessly integrated, comply with policies, and are fully leveraged by users.

This position bridges IT administration, process enablement, and vendor collaboration, ensuring smooth day-to-day operation of applications, efficient change management, and proactive improvement of workflows.

Responsibilities

• Monitor application health, usage, and user feedback.
• Oversee license utilization, renewals, and initiate cost optimization.
• Handle L2/L3 service desk tickets related to system access, configuration, and incidents.
• Configure workflows, automations, forms, and integrations to support business process needs.
• Design, build and maintain robust and reliable integrations between SaaS platforms by using the middleware tools
• Maintain application configuration and change management
• Ensure documentation of configurations, system baselines, changes, and user guides
• Manage users, groups, and license allocations across all assigned SaaS platforms
• Maintain access control and role-based permissions in line with security policies.
• Evaluate and apply vendor updates and feature releases.
• Track and communicate release impacts to relevant teams.
• Coordinate with business stakeholders to test and deploy new functionality.
• Identify recurring issues and propose systemic fixes or automation opportunities.
• Conduct onboarding sessions and knowledge sharing for end-users and managers.
• Serve as the primary point of contact for vendors, internal and external stakeholders.
• Review vendor SLAs, security posture, and application roadmaps.

Required Qualifications

• 3+ years of experience in application administration, IT operations, or business systems management in a fast-scaling IT service or consulting organization
• Proven experience working with Attlassian products (preferably JIRA/Confluence, experience additional extentions will be a plus)
• Proven experience managing integrations between multiple SaaS systems (via API or middleware such as Zapier, n8n or similar) 
• Hands-on experience with at least three of the following platforms class: IAM/DirectoryManagement (e.g. Google Workspace, MS Entra, Zoho ManageEngine), HRIS (e.g., PeopleForce), PSA (e.g. Ruddr), ERP/Finance (e.g.QuickBooks), CRM (e.g. HubSpot, Pipedrive)
• Strong understanding of SaaS administration, access management, and workflow automation.
• Familiarity with ITSM/ITIL practices (Incident, Change, and Release Management).
• Familiarity with data warehousing concepts and BI tools
• Familiarity with AI-embeded features in SaaS platforms and LLM pricinples
• Excellent problem-solving and cross-functional communication skills.
• Ability to document, train, and present to non-technical stakeholders.
• Understanding of data access controls, SSO, and identity management
   

Nice-to-have Qualifications

• Experience with security and compliance frameworks (SOC 2, ISO 27001).
• Experience writing custom scripts to augment middleware capabilities or interact with APIs
• Experience with the Enterprise Architecture Framework (e.g. TOGAF)
• Experience with Product development from scratch (as Product Owner, Project Manager)

About Us

We are transforming the way medical and academic research institutions manage the entire research lifecycle, from initial grant submission, funding, approvals, and human capital management. We are commercializing a successful, custom enterprise application, used for over a decade by a major medical research center, into a scalable, multi-tenant SaaS product. This new product will be utilized by leading academic and medical research centers globally, demanding a modern, secure, and robust architecture.
 

The Role

We are seeking a highly experienced and visionary Principal Architect to design, own, and lead the technical architecture for our new commercialized Enterprise SaaS product. This is a critical leadership role that requires deep expertise in migrating legacy systems, architecting multi-tenant solutions, ensuring high-stakes data security/compliance, and defining complex enterprise integration strategies.
 

A key focus will be transforming hard-coded product logic into a configurable low-code/no-code framework, enabling administrators to define workflows, forms, notifications, and document generation without direct developer involvement.

You will be the foundational technical leader, defining the architectural blueprint and non-functional requirements that will ensure the product’s success, scalability, and market readiness. 

 

Key Responsibilities

Architectural Strategy & Design

• Define the Target State Architecture: Architect the comprehensive, future-proof engineering architecture for the commercialized SaaS product, moving away from the existing legacy constraints.
• Multi-Tenancy: Design and own the architecture for a secure, performant, and cost-effective multi-tenancy environment.
• Data Model: Design the new, scalable, and compliant data models to support the full research lifecycle and enterprise reporting needs.
• Security & Authorization: Architect the Role-Based Access Control (RBAC) model, authentication (SSO), and granular login/permission system to manage complex institutional and project-specific security rules (HIPAA/GDPR considerations a plus).
• Workflow Engine: Define the architecture for a robust, configurable workflow and rules engine to manage grant submissions, approvals, compliance checks, and funding disbursements.
• Document Management & Processing: Design solutions for secure document upload, storage, versioning, and processing, including the use of OCR/AI/ML for reading, parsing, and extracting data from legal agreements and standardized forms.

• Notifications & Forms: Define the architecture for a flexible, scalable notification service and a dynamic form generation engine.

   

Enterprise Integrations & Modernization

• Human Capital Management (HCM) Integrations: Design and lead the technical strategy for complex, bi-directional integrations with major HCM platforms like Workday, PeopleForce, and others, ensuring secure data synchronization for researchers, staff, and funding.
• API Strategy: Define and document a comprehensive API gateway and microservice architecture to support both internal components and external third-party integrations (e.g., funding agencies, institutional ERPs).
• Technology Stack Selection: Propose and justify the optimal technology stack, cloud provider (AWS, Azure, or GCP), and deployment strategy (e.g., Kubernetes).

Required Qualifications

• Excellent communication skills, with the ability to articulate complex technical decisions to both executive leadership and engineering teams.
• 10+ years of progressive experience in software engineering, with 5+ years in a dedicated architecture role for Enterprise SaaS products.
• Proven track record of successfully modernizing or commercializing a legacy enterprise application into a scalable, multi-tenant product.
• Deep expertise in designing complex data models for large-scale enterprise applications.
• Demonstrated experience architecting enterprise-level integrations, specifically with Human Capital Management (HCM) or ERP systems (e.g., Workday, Oracle, SAP).
• Advanced AI/ML & Agent Experience:
• Proven skills in utilizing and architecting solutions around Large Language Models (LLMs) and AI Agents for tasks such as complex document parsing, semantic search, and intelligent workflow automation
• Experience with MCP servers or similar advanced service mesh and event-driven architectures for orchestrating complex processes.
• Strong understanding of security, compliance, and regulatory frameworks relevant to medical/academic data (e.g., HIPAA, GDPR, institutional policies).

Collaboration & Mentorship:

• Provide architectural guidance and mentorship to engineering leads and development teams.
• Promote cross-team architectural consistency and alignment with product vision.
• Foster a culture of technical excellence, continuous improvement, and accountability across the engineering organization.
• Partner with Product and Delivery leadership to ensure architectural priorities are integrated into roadmap planning and execution.

Governance & Delivery:

• Experience implementing modern DevOps practices, including CI/CD pipelines, observability, and infrastructure-as-code (IaC).
• Familiarity with release governance processes, audit logging, and proactive system health monitoring in enterprise environments.
• Ability to define and enforce architectural standards through documentation (ADRs), peer reviews, and quality gates.

Technology Stack (Current and Target Ecosystem):

• Frontend: React, TypeScript, Redux, Micro-frontend composition
• Backend: .NET 8, ASP.NET Web API, Entity Framework Core
• Database: Microsoft SQL Server, Azure SQL
• Infrastructure: Azure Cloud (App Services, Blob Storage, Service Bus, Functions, API Management), Infrastructure-as-Code (Bicep/Terraform)
• AI & Automation: Azure OpenAI, Azure AI Document Intelligence, Semantic Search, Event-driven Chat Orchestrator
• DevOps: Azure DevOps Pipelines, GitHub Actions, Containerization (Docker), CI/CD automation
• Security & Identity: Azure Entra ID (AD), RBAC, SSO, Key Vault, Managed Identities
  
   

We are seeking a ML Engineer to design, build, and deploy ML-powered solutions within the real estate and investment management domain. In this role, you will develop predictive models, scalable pipelines, and automation tools that help business users and analysts extract insights and make smarter, data-driven decisions. You’ll work closely with product managers, data scientists, and data engineers to turn requirements into robust machine learning applications that drive real business outcomes.

About the role

As a ML Engineer, you’ll be responsible for building and operationalizing ML models, integrating them with existing data systems, and ensuring they perform reliably in production. You will collaborate with stakeholders to understand use cases, translate them into machine learning workflows, and design scalable pipelines that handle large volumes of data efficiently. By combining strong engineering skills with an understanding of applied ML, you’ll ensure that predictive analytics, forecasting, and optimization models directly support the client’s real estate, accounting, and investment reporting needs.

• Master’s or PhD in Data Science, Computer Science, or a technology-focused field.
• 4+  years of hands-on experience designing and deploying AI or ML models.
• Hands-on experience setting up and maintaining large-scale data science and machine learning projects.
• Skilled with deep learning libraries like PyTorch, Keras, TensorFlow, and HuggingFace toolkits.
• Solid knowledge of machine learning, especially Natural Language Processing (NLP)  large language models (LLMs).
• Advanced Python coding and strong experience (with tools like Scikit-Learn, NumPy, SciPy, Pandas, and XGBoost.)
• Comfortable using SQL for working with large datasets and uncovering insights.
• Experience creating solutions in cloud platforms such as AWS Sagemaker or Microsoft Azure.
• Able to work on your own or as part of a group to hit targets.

• Curiosity, attention to detail, and drive to solve difficult data problems.
• Focused on getting results for clients and working in an agile development setup.
• Can design or review how a model’s success is measured to line up with business goals.
• Shows initiative by researching new solutions with some guidance.

• Analyze data to find patterns and create machine learning solutions for challenging business issues 
• Understand the AI/ML program journey to formulate relevant high impact business questions that can be answered through data analysis.
• Develop AI/ML solutions that can be scaled across various business use cases, starting from PoC to MVP and launching into production.
• Build and improve AI models - like those for prediction, automation, or natural language tasks.
• Use both in-house tools and the latest technology to increase operational productivity and efficiency as well as predictive analytics.
• Break down and share your process and results in a way that’s clear to non-technical folks, like business managers and executives.
• Keep up with and put into practice the latest AI and machine learning techniques

Work:

• Flexible working hours;
• Collaborative, friendly team environment;
• Remote/Hybrid work;

Life:

• Company social events;
• Annual corporate parties;

Health:

• Comprehensive medical insurance;

Education:

• Allowances for professional education;
• English language courses with native speakers;
• Internal knowledge-sharing sessions.