Uasoftdev

Requirements

Strong Product Management experience
Strong UX mindset and a good sense of design beyond wireframes
Ability to identify user friction and improve product experience
Experience working with clients or stakeholders
Experience working in utilities, construction and with geospatial technology
Experience working with mobile systems
Confidence in leading conversations and driving alignment
Interest in AI and multi-modal models
Hands-on experimentation with AI tools

Responsibilities

Work closely with clients in a co-innovation setup
Turn client feedback into meaningful product improvements
Lead product discussions and shape product direction
Drive the integration of multi-modal AI (text, vision, audio, etc.)
Improve and evolve the user experience
Contribute to building products that feel like an extension of the user

Nice to have

Strong analytical skills and experience working with product metrics
Basic technical understanding of APIs, integrations, or system architecture
 

Working conditions

Close collaboration with US clients (the position requires to work approximately from 16:00 to 00:00 Kyiv time)
 

We are looking for a Senior Data Engineer to support a wealth/asset management client with data integration, data platform modernization, reporting, and analytics enablement.
The ideal candidate should have strong experience building reliable data pipelines, integrating enterprise and financial systems, preparing data for BI/analytics, and working with business-critical datasets where accuracy, governance, and data quality are essential.
This role may involve working with data from portfolio management systems, CRM / ERP platforms, SAP, finance systems, reporting tools, and cloud-based data platforms.
 

Responsibilities:

Design, build, and maintain scalable data pipelines from enterprise systems into analytics/reporting environments
Integrate data from systems such as SAP, CRM, portfolio/wealth management platforms, APIs, flat files, and databases
Build and optimize data models for BI, reporting, dashboards, and business analytics
Support Tableau / Power BI reporting by preparing clean, reliable, well-structured datasets
Develop ETL / ELT workflows for ingestion, transformation, validation, and reconciliation
Implement data quality checks, monitoring, logging, and issue resolution processes
Work with business stakeholders to understand reporting requirements and translate them into data models
Collaborate with analysts, BI developers, application teams, and business users
Support migration or modernization of legacy reporting/data workflows into a more scalable architecture
Ensure data security, access control, governance, and compliance with financial-industry expectations

Requirements

5+ years of experience in data engineering, data warehousing, or analytics engineering
Strong SQL skills and experience designing analytical data models
Experience building ETL / ELT pipelines and working with structured business data
Hands-on experience with cloud data platforms or warehouses such as Snowflake, Databricks, Redshift, BigQuery, Azure Synapse, or similar
Experience integrating data from ERP / enterprise systems; SAP experience is a strong plus
Experience supporting BI tools such as Tableau, Power BI, Looker, or similar
Strong understanding of data quality, reconciliation, lineage, governance, and access control
Experience working with APIs, batch data loads, scheduled jobs, and file-based integrations
Ability to work with stakeholders to clarify reporting needs and data definitions
Strong communication skills and ability to work in a client-facing environment

Nice to Have

Experience in wealth management, asset management, private banking, investment management, family office, or financial services
Experience working with portfolio, holdings, transactions, performance, client, or advisor data
Experience with SAP data extraction/integration, SAP BW, SAP HANA, or SAP Datasphere
Experience with Tableau and Power BI semantic models/datasets
Experience with Python for data processing and automation
Experience with dbt, Airflow, Fivetran, Matillion, Informatica, Azure Data Factory, AWS Glue, or similar tools
Experience with master data management, data catalogues, data lineage, or data governance platforms
Understanding of financial reporting, regulatory reporting, or client reporting workflows

Tech Stack / Tools
Relevant experience may include:

Data platforms: Snowflake, Databricks, Redshift, BigQuery, Azure Synapse
ETL / orchestration: Airflow, dbt, Azure Data Factory, AWS Glue, Fivetran, Matillion, Informatica
BI / reporting: Tableau, Power BI, Looker
Enterprise systems: SAP, SAP BW, SAP HANA, SAP Datasphere, CRM, portfolio management platforms
Languages: SQL, Python
Cloud: AWS, Azure, GCP
Data governance: data quality checks, lineage, access control, reconciliation

Responsibilities
Design, build, and maintain end-to-end data pipelines using Palantir Foundry

Develop and manage data models, transformations, and workflows within Foundry

Integrate data from multiple sources (APIs, databases, files, event streams)

Ensure data quality, reliability, security, and governance across data products

Optimize performance and scalability of data pipelines and analytics workloads

Collaborate with product managers, analysts, and stakeholders to translate business needs into data solutions

Support analytics, reporting, and advanced use cases (including ML/AI where applicable)

Contribute to best practices, documentation, and data platform standards

Requirements (Must-Have)
Senior-level experience as a Data Engineer (5+ years)

Palantir certification (Foundry)

Strong hands-on experience working with Palantir Foundry in production

Excellent proficiency in Python and SQL

Experience building and operating cloud-based data platforms

Solid understanding of data modeling, ETL/ELT, and data warehousing concepts

Strong focus on data quality, governance, and security

Experience working in Agile, cross-functional teams

Professional working proficiency in English

Must be located in Europe

Nice to Have
Experience with cloud platforms (AWS, Azure, or GCP)

Exposure to analytics engineering or data product development

Experience working in regulated or enterprise environments

We are looking for an experienced KNIME Data Engineer / Automation Specialist to design, implement, and manage advanced data workflows and solutions. In this role, you will develop production-grade KNIME Data Apps, manage deployments via KNIME Business Hub, and integrate various data sources to accelerate our automation projects.

Requirements 

• 2+ years of practical experience with KNIME Analytics Platform
• Strong track record of successful KNIME implementations and production solutions
• Solid experience in workflow development, performance optimization, and automation
• Hands-on experience with KNIME Business Hub (scheduling, governance, collaboration, and deployment)
• Proven experience with KNIME Data Apps for creating interactive, production-grade solutions
• Ability to design scalable solution architecture for data gathering, enrichment, and transformation
• Experience providing technical consultation to internal teams and customers
• Upper-Intermediate (B2+) English communication skills (both verbal and written)

Nice to have 

• Knowledge of German or Polish languages

   

Responsibilities

• Design and implement advanced KNIME workflows for data gathering, enrichment, and transformation
• Develop KNIME Data Apps for interactive reporting, dashboards, and self-service automation
• Deploy, configure, and manage solutions within the KNIME Business Hub environment
• Integrate KNIME with Google Services APIs, web data sources, and internal company systems
• Implement workflow orchestration, robust error handling, and monitoring for production use
• Build reusable components and templates to accelerate internal automation projects
• Optimize workflows for maximum performance, scalability, and resource efficiency
• Advise on architecture, integration strategies, and overall solution design

• Document technical solutions clearly and ensure a smooth handover to stakeholders

   

Working conditions

• Format: Fully remote position
• Travel: Occasional business trips to the office in Warsaw, Poland

We are looking for a senior GCP Data Engineer / Data Architect to lead and execute an on-premise to GCP data migration project.
This is a hands-on data-focused role, not a classic DevOps/Kubernetes role.

Main responsibilities:
- Lead and implement the migration of data workloads from on-premise infrastructure to GCP
- Design and build GCP data lake / lakehouse architecture
- Work hands-on with GCP data services such as BigQuery, Dataproc, Cloud Storage, Spark, and related tools
- Design and implement scalable data pipelines and data processing flows
- Handle data ingestion, storage, security, reliability, and cost optimization
- Work independently with the existing technical team and drive technical decisions

Required experience:
- Strong hands-on GCP data engineering experience
- BigQuery, Dataproc, Spark, and Cloud Storage
- Data lake / lakehouse architecture
- On-premise to cloud migration experience
- Ability to lead technical decisions and work independently

Nice to have:
- Dataflow, Pub/Sub, Cloud Composer / Airflow
Full-time availability is preferred. Please apply only if you have real hands-on experience with GCP data platforms and data migration projects.

About the Role
Optimizing data infrastructure at scale lies in providing breakthrough data processing acceleration to the bottomline that drives up costs: the software deployed at scale by data engineering teams.
As a Senior Software Engineer for this role, you will collaborate with the founding team in the implementation of a next-generation accelerator for Apache Spark, the most widely used Big Data processing engine at petabyte-scale.
Working at the intersection of compilers and Big Data analytics, you’ll drive state-of-the-art implementation of algorithms and techniques that span across the entire software stack, from SQL pushdown to enhancements in low-level C++ data processing APIs and beyond.

Requirements:

• 7+ years of hands-on commercial software development experience
• 3+ years of strong Scala experience
• experience with Java
• 2+ years of solid C++ experience
• Upper-Intermediate (B2+) English with confidence in active communication (meetings, discussions)
   

Responsibilities:

• Take full ownership of SQL acceleration features — from architecture and design to implementation and measurable performance gains
• Design, build, and optimize Big Data processing algorithms using Scala, Java, and C++
• Develop high-performance, low-latency components at the intersection of Big Data and compiler technologies
• Work with custom DSLs and code generation frameworks to extend and enhance query execution capabilities
• Contribute to cross-language integrations (Java ↔ C++ via JNI) and drive system-wide performance improvements
   

We are seeking a high-performing Senior Python Full-Stack Developer / AI Engineer to join the development of an innovative, advanced multimodal AI coaching and virtual therapy platform. The project is designed to help couples improve relationships and communication by utilizing a deterministic state-machine approach based on predefined behavioral and therapy protocols. This is a long-term, full-time engagement in an early-stage startup environment, offering high stability and the opportunity to heavily influence the AI architecture of a cutting-edge product.

Responsibilities
Develop, scale, and enhance the core AI microservice.
Build and optimize complex LLM orchestration workflows and LangGraph-based multi-protocol conversation workflows.
Implement deterministic AI conversation flows mapped directly to predefined psychological frameworks and therapy protocols.
Design, maintain, and optimize RAG architecture and long-term memory systems utilizing Pinecone and vector search mechanisms.
Build and scale multimodal AI capabilities, including text, voice, and video processing pipelines.
Optimize token usage, monitor infrastructure costs, and evaluate various LLM providers (Claude, OpenAI, Gemini).
Collaborate closely with founders, backend developers, and behavioral experts to translate therapy logic into machine-executable workflows.

Qualifications
5+ years of professional software engineering experience.
3+ years of hands-on experience building LLM-based systems, production-ready AI applications, and Conversational AI / Chatbots.
Deep commercial expertise in Python, FastAPI, Prompt Engineering, and Vector Databases (Pinecone).
Strong experience with LangGraph, AI Agents, and advanced workflow orchestration.
Proven track record with Multimodal AI (integrating text, audio, and video formats).
Strong understanding of token optimization and cost-efficient AI infrastructure.
Excellent English communication skills (very good verbal and written level).
Nice to Have: Experience with coaching, therapy, psychology, or behavioral AI applications; experience with deterministic AI workflows; hands-on knowledge of audio/video processing pipelines.

Location & Logistics
Location: Remote (Poladn)
Time Zone: CET
Engagement: Full-time (40 hours per week) 1-2 months to begin with and long-term potential.

The company helps hotel chains like Hilton and Marriott transform front-desk staff into revenue generators through upselling training and analytics. Their IN-Gauge SaaS platform empowers frontline teams across 2,000+ properties in over 100 countries.

- Implement scaling of the case detection process (scanner)
- Split API into multiple API services
- Emulate pubsub/cloud run locally
- Implement scaling of the case detection process (scanner)
- Split API into multiple API services
- Emulate pubsub/cloud run locally
- Extract & process data using PySpark + S3 (Kafka/Kinesis — bonus)
- Write & optimize SQL on PostgreSQL/Redshift; use DynamoDB as data source/sink
- Run and debug ETL jobs on Glue or EMR; monitor via console/Spark UI

Must-have skills:
- Data engineering - 5 years, 
- AWS - 3 years (1 year latest project), 
- Spark/PySpark - 2 years (1 year latest project)
- English B2+

About the project

We're building a smart customer behavior analytics platform for an e-commerce / retail business. A starter project is already done — we need an experienced developer to continue and expand it with new AI-powered video analytics features. Long-term engagement, 3+ months, with continuation after successful milestones.
 

What you'll be working on

• Face recognition & detection — identify returning customers
• Emotion detection — happy, neutral, surprised, confused, dissatisfied
• Age estimation & gender detection
• Object detection & tracking — products, shelves, zones, promotional areas
• Real-time / near-real-time video processing
• Detection overlays and analytics dashboard
• Customer emotion trends, demographic summaries, interaction heatmaps
• Camera input and/or uploaded video support
• Code review and improvement of existing codebase
   

Required skills

• Python, OpenCV
• YOLO (v8 preferred), DeepFace, InsightFace, and/or MediaPipe
• Face recognition and emotion detection in production
• Real-time video streaming (WebSockets / RTSP)
• Backend API development (FastAPI or Flask)
• Frontend integration — dashboards with live overlays
• Docker, GPU inference

Nice to have

• TensorRT / Triton for inference optimization
• Experience with retail or surveillance analytics systems
• Dashboard development (React or similar)

We offer

• Long-term project with stable workload

• Clear scope and existing codebase to build on