SQRD.tech

We are looking for a Data Scientist to support a Data & AI team. The role is focused on developing scalable AI/ML solutions and integrating Generative AI into evolving business operations.

About the Role

As a Data Scientist, you will:

• Collaborate with Product Owners, Data Analysts, Data Engineers, and ML Engineers to design, develop, deploy, and monitor scalable AI/ML products.
• Lead initiatives to integrate Generative AI into business processes.
• Work closely with business stakeholders to understand challenges and deliver tailored data-driven solutions.
• Monitor model performance and implement improvements.
• Apply best practices in data science and ML for sustainable, high-quality results.
• Develop and fine-tune models with a strong focus on accuracy and business value.
• Leverage cutting-edge technologies to drive innovation and efficiency.
• Stay updated on advancements in AI and data science, applying new techniques to ongoing processes.

About the Candidate

We are looking for a professional with strong analytical and technical expertise.

Must have:

• 3+ years of hands-on experience in Data Science and ML.
• Experience with recommendation systems and prescriptive analytics.
• Proficiency in Python, SQL, and ML libraries/frameworks.
• Proven experience developing ML models and applying statistical methods.
• Familiarity with containerization and orchestration tools.
• Excellent communication skills and strong command of English.
• Bachelor’s or Master’s degree in Computer Science, Statistics, Physics, or Mathematics.

Nice to have:

• Experience with Snowflake.
• Exposure to Generative AI and large language models.
• Knowledge of AWS services.
• Familiarity with NLP models (including transformers).

About the Role

For the client, the Analytics Engineer is a 100% engineering position. This role focuses exclusively on building, maintaining, and optimizing data pipelines and workflows within our services and data warehouses, using our ingestion and orchestrator tools.

This is fundamentally different from a Data Analyst, whose primary responsibility is keeping in touch with business and analyzing data to draw business insights. While analytics engineers must understand analytical requirements, their tasks are purely technical and revolve around engineering best practices—data modeling, system integration, and process automation—not direct analysis or interpretation of business data. In essence, this role is engineering at its core.

As an Analytics Engineer, you will deliver high-quality data solutions within agreed SLAs and budget.

Responsibilities:

• Designing and maintaining data pipeline architectures
• Assembling large, complex datasets for business needs
• Implementing process improvements (automation, scalability, optimization)
• Building analytics tools for actionable insights (customer acquisition, efficiency, KPIs)
• Supporting data design and modeling within an Enterprise Data Platform in a cloud environment
• Collaborating within an agile team and ensuring compliance with operational procedures

What We’re Looking For

• Strong experience in building & maintaining scalable data pipelines and ETL/ELT processes
• Advanced SQL + hands-on Snowflake experience
• Knowledge of relational & NoSQL databases optimized for analytics
• Proficiency in dbt (data modeling, transformation workflows, testing)
• Airflow (or similar) workflow orchestration experience
• Strong Python for pipelines & data processing
• Familiarity with other programming languages (e.g., Java, Scala, C++) is a plus.
• Experience with AWS data services (Lambda, Glue, Kinesis, S3, Redshift) and real-time/streaming pipelines
• Knowledge of Power BI / Tableau
• Strong analytical and implementation skills.
• Excellent English communication skills (explaining technical concepts to senior stakeholders)

We are looking for a Data Scientist to support a Data & AI team. The role is focused on developing scalable AI/ML solutions and integrating Generative AI into evolving business operations.

About the Role

As a Data Scientist, you will:

• Collaborate with Product Owners, Data Analysts, Data Engineers, and ML Engineers to design, develop, deploy, and monitor scalable AI/ML products.
• Lead initiatives to integrate Generative AI into business processes.
• Work closely with business stakeholders to understand challenges and deliver tailored data-driven solutions.
• Monitor model performance and implement improvements.
• Apply best practices in data science and ML for sustainable, high-quality results.
• Develop and fine-tune models with a strong focus on accuracy and business value.
• Leverage cutting-edge technologies to drive innovation and efficiency.
• Stay updated on advancements in AI and data science, applying new techniques to ongoing processes.

About the Candidate

We are looking for a professional with strong analytical and technical expertise.

Must have:

• 3+ years of hands-on experience in Data Science and ML.
• Experience with recommendation systems and prescriptive analytics.
• Proficiency in Python, SQL, and ML libraries/frameworks.
• Proven experience developing ML models and applying statistical methods.
• Familiarity with containerization and orchestration tools.
• Excellent communication skills and strong command of English.
• Bachelor’s or Master’s degree in Computer Science, Statistics, Physics, or Mathematics.

Nice to have:

• Experience with Snowflake.
• Exposure to Generative AI and large language models.
• Knowledge of AWS services.
• Familiarity with NLP models (including transformers).

Tech Level: Senior
Language Proficiency: Upper-Intermediate+ English
FTE: 2
Employment Type: Full-time, Long-term, b2b contract
Candidate Location: Europe (preferably within CET/CEST time zone)

Project Description

We are looking for Data Analysts to strengthen the Data Team while several members are allocated to another project. The mission is to drive data-led decision-making and support the organization’s digital and analytical transformation.

Role & Responsibilities

As Data Analysts, you will:

• Collaborate with business units to understand strategic and operational needs, designing actionable solutions across data products.
• Contribute to the strategic development of the data tools ecosystem to build a truly data-driven organization.
• Automate manual reporting processes, ensuring scalability and efficiency.
• Partner with data integration and ingestion teams to maintain reliable, high-quality pipelines.
• Promote a culture of data-driven decision-making across the company.
• Support the design and implementation of end-to-end data solutions (integration, QA, visualization).
• Apply advanced data visualization techniques to deliver engaging and impactful insights.
• Communicate current analytics capabilities and future roadmap clearly to senior stakeholders.

Candidate Profile

We are looking for professionals with strong analytical skills, technical expertise, and the ability to collaborate across diverse teams.

✅ Must-Have:

• 5+ years of experience in Business Intelligence / Analytics roles within large, complex organizations.
• Strong focus on data quality, precision, and detail.
• Proven ability to manage multiple priorities in fast-paced environments.
• Expertise in data visualization & dashboarding, with advanced Power BI knowledge.
• Strong skills in SQL and DAX.
• Excellent English communication skills (verbal & written).
• Master’s degree in Statistics, Mathematics, Computer Science, Economics, Physics, or related field (or equivalent experience).

➕ Nice-to-Have:

• Industry experience in travel & tourism.
• Familiarity with dbt, Google Tag Manager, Google Analytics, and Python.

About the Role

For the client, the Analytics Engineer is a 100% engineering position. This role focuses exclusively on building, maintaining, and optimizing data pipelines and workflows within our services and data warehouses, using our ingestion and orchestrator tools.

This is fundamentally different from a Data Analyst, whose primary responsibility is keeping in touch with business and analyzing data to draw business insights. While analytics engineers must understand analytical requirements, their tasks are purely technical and revolve around engineering best practices—data modeling, system integration, and process automation—not direct analysis or interpretation of business data. In essence, this role is engineering at its core.

As an Analytics Engineer, you will deliver high-quality data solutions within agreed SLAs and budget.

Responsibilities:

• Designing and maintaining data pipeline architectures
• Assembling large, complex datasets for business needs
• Implementing process improvements (automation, scalability, optimization)
• Building analytics tools for actionable insights (customer acquisition, efficiency, KPIs)
• Supporting data design and modeling within an Enterprise Data Platform in a cloud environment
• Collaborating within an agile team and ensuring compliance with operational procedures

What We’re Looking For

• Strong experience in building & maintaining scalable data pipelines and ETL/ELT processes
• Advanced SQL + hands-on Snowflake experience
• Knowledge of relational & NoSQL databases optimized for analytics
• Proficiency in dbt (data modeling, transformation workflows, testing)
• Airflow (or similar) workflow orchestration experience
• Strong Python for pipelines & data processing
• Familiarity with other programming languages (e.g., Java, Scala, C++) is a plus.
• Experience with AWS data services (Lambda, Glue, Kinesis, S3, Redshift) and real-time/streaming pipelines
• Knowledge of Power BI / Tableau
• Strong analytical and implementation skills.
• Excellent English communication skills (explaining technical concepts to senior stakeholders)

Location: Hybrid, Wrocław (Poland)

Technical Requirements

• Strong, hands-on expertise with Go (Golang) – mandatory.
• Solid experience with gRPC, covering API design and implementation.
• Good understanding of Kubernetes concepts: sidecar pattern, stateful services, deployments.
• Basic knowledge of Istio and service mesh architectures.
• Familiarity with cryptographic concepts (DEKs, KEKs, envelope encryption).
• Background working with RDBMS for persistence and metadata storage.
• Ability to work autonomously and take responsibility for deliverables.
• Commitment to secure software development best practices.

Nice to have:

• Python development experience.
• Practical exposure to SAP BTP services, especially KMS.
• Experience with highly available and fault-tolerant systems.
• Knowledge of observability practices and tools.

Required Technical Skills: Golang, Kubernetes
Preferred Technical Skills: Python, SAP BTP

Main Responsibilities

• Build and maintain Go-based microservices, including a sidecar and central gateway service.
• Create efficient, low-latency APIs with gRPC for inter-service communication.
• Work in a Kubernetes-based environment, applying sidecar, stateful services, deployments, and API extensions.
• Support observability and collaborate on Istio service mesh integration.
• Implement cryptographic APIs/SDKs to handle DEKs, KEKs, envelope encryption, and secure caching.
• Use RDBMS for metadata and key material persistence.
• Integrate SAP BTP services (especially KMS) to ensure secure operations.
• Deliver clean, maintainable, and secure code according to best practices.

About the Project

As a Golang Developer, you’ll take part in building secure, high-performance services in a Kubernetes ecosystem, focusing on scalability, reliability, and security.

Location: Hybrid, Wrocław (Poland)

Technical Requirements

• Excellent programming skills in Python.
• Proven experience in data engineering and data science.
• Understanding of GenAI technologies (NLP, LLM).
• Practical experience with RAG architectures.
• Hands-on experience developing small-scale web applications (Streamlit, Flask, or Django).
• Strong SQL knowledge, with practical use of PostgreSQL.
• Familiarity with agentic AI frameworks such as LangGraph or CrewAI (nice to have).
• Exposure to OCR technologies will be an advantage.

Required Technical Skills

• Python
• RAG
• Flask / Django
• PostgreSQL

Main Responsibilities

• Develop and maintain backend systems and data pipelines.
• Create and deploy web applications for data interaction and visualization.
• Work with SQL and PostgreSQL for data management and queries.
• Support the development of RAG-based applications using GenAI and NLP/LLM.
• Partner with the team to identify, plan, and deliver impactful use cases in 3-month project cycles.
• Provide assistance with agentic AI frameworks (LangGraph, CrewAI) and OCR solutions when necessary.

About the Project

We are seeking a Python Developer with strong expertise in data to join the team. The role combines backend engineering, data-related development, and AI solution integration

📍 Hybrid from Wrocław, Poland

Technical Requirements

Must-Have:

• Higher professional education level (HBO) or equivalent.
• 6+ years of experience in C backend and application development.
• Solid understanding of client-server architecture (requests/responses).
• Hands-on experience with Agile/Scrum methodologies.
• Strong knowledge of C++.
• Proficiency with GIT and Jenkins.
• Previous experience working in distributed/remote teams.
• Background in working with custom connectors and queues.

Nice-to-Have:

• Experience with IBM MQ.
• Knowledge of Mule 4.
• Reverse engineering expertise, including building call flow diagrams and writing code documentation.
• UML proficiency.
• Familiarity with Jira.
• Experience in legacy system environments.
• Strong technical documentation skills.

Required Technical Skills

• C++
• Agile / Scrum
• Git
• Jenkins

Main Responsibilities

• Error Analysis:
  • Compare legacy InfoMessaging outputs with new messages generated by MuleSoft.
  • Debug discrepancies by analyzing C code and MuleSoft logic.
  • Identify and define the correct logic to be applied in MuleSoft.
• Delivering Flows for MuleSoft Programming (Update Messages):
  • Analyze legacy C code and translate it into flow diagrams for MuleSoft developers.
  • Support the implementation of update message functionality.

About the Project

This role involves reverse engineering and analysis of legacy C systems to support MuleSoft integration. You will be responsible for debugging, documenting, and providing guidance for MuleSoft development based on existing C code logic.

Experience: 5+ years
Industry: Aviation
Location: Hybrid, Gdańsk, Poland

Job Details

Technical Requirements:

• Solid background in software engineering and digital solution development.
• Experience working with SAFe (Scaled Agile Framework).
• Excellent analytical and problem-solving abilities.
• Proactive, energetic, and innovation-driven mindset.
• Strong teamwork skills and ability to remain self-motivated to achieve goals.
• Strong interpersonal skills with the ability to collaborate effectively with senior management, customers, and partners.
• Bachelor’s or Master’s degree in Software Engineering, Aeronautics, or equivalent professional experience.
• Excellent command of English (both written and spoken) at negotiation level.

Main Responsibilities

• Serve as Product Owner for digital solutions supporting Flight Operations.
• Define, refine, and prioritize product requirements in close cooperation with engineering teams.
• Align product development with business goals through collaboration with stakeholders and senior management.
• Promote innovation and continuous improvement throughout the product lifecycle.
• Ensure high-quality and user-friendly deliverables.
• Apply SAFe methodology in daily product management practices.

About the Project

You will be working on digital solutions designed to support Flight Operations within the aviation sector.

Experience: 5+ years
Domain: IT
Location: Hybrid, Poland (Wrocław)

Technical Requirements

• Proven hands-on expertise with Microsoft Azure, including advanced services such as Azure Machine Learning.
• Strong background in Microsoft Power BI for creating interactive dashboards and reports.
• Good understanding of DevOps practices and close collaboration with engineering teams.
• Solid knowledge of cloud cost optimization, billing, financial reporting, and cost management best practices.
• Experience in implementing continuous improvement processes within cloud financial management.
• Familiarity with compliance standards and audit requirements for cloud services.

Required Technical Skills

• Microsoft Azure
• Machine Learning
• Power BI
• DevOps

Main Responsibilities

• Monitor Azure consumption and spending, identifying cost-saving opportunities through rightsizing, commitment plans, and optimization strategies.
• Optimize both standard and advanced Azure services (Azure OpenAI, Cognitive Services, Azure Machine Learning, AI workloads) for scalability and cost efficiency.
• Develop and maintain cloud cost forecasts, budgets, and detailed reports for technical and financial stakeholders.
• Create dashboards and reporting solutions using Azure Cost Management + Billing, Power BI, and FinOps tools.
• Define and apply cloud cost governance policies (tagging, budget limits, reserved instances, etc.).
• Support cost allocation models to distribute cloud expenses accurately across departments or business units.
• Collaborate with Engineering, DevOps, and Finance teams to align cloud usage with business strategy.
• Lead continuous improvement initiatives to enhance cloud financial management practices and tools.
• Actively participate in FinOps working groups to improve cost visibility and accountability across the organization.
• Ensure billing and usage data accuracy for audits and compliance purposes.

About the Project

Microsoft Azure Expert – Cloud Cost Optimization

Experience: 3+ years
Domain: IT
Location: Hybrid, Poland (Warsaw)
 

Technical Requirements

• 3–5 years of professional experience in software engineering, solution engineering, or technical consulting.
• Strong programming skills in JavaScript (core requirement).
• Proficiency in Python or other languages is a strong advantage.
• Good knowledge of process automation and workflow design.
• Experience with AI training and data extraction.
• Strong problem-solving skills and ability to explain complex technical topics to non-technical stakeholders.
• Excellent English communication skills (spoken and written).
• Hands-on experience with no-code/low-code platforms, intelligent automation, or RPA tools will be a big plus.
• Bachelor’s degree (or equivalent) in Computer Science, IT, or a related discipline.

Required Technical Skills

• JavaScript
• Python
• RPA

Main Responsibilities

• Work closely with the Business Analyst to gather requirements and transform them into technical solutions.
• Design scalable and modular solutions within DeepOpinion Studio.
• Take the lead in mentoring developers, providing guidance and ensuring task clarity.
• Oversee the development lifecycle, maintaining high standards of code quality.
• Implement process automations, including database updates, configurations, and workflow logic.
• Contribute to AI-driven features through AI training and data extraction.

GenAI QA Analyst
📍 On-site | Warsaw, Poland
💼 Experience: 3+ years in QA
 

Requirements

• 3–5 years of experience in Quality Assurance, with focus on functional and integration testing.
• Strong skills in Python (mandatory).
• Hands-on experience with automation frameworks: Robot Framework, Selenium, Cypress.
• API testing knowledge with Postman, SoapUI.
• Familiarity with CI/CD pipelines and Agile practices.
• Understanding of LLM evaluation and AI model validation is a plus.
• Experience in performance testing (JMeter) and awareness of security best practices.
• Strong analytical mindset, problem-solving skills, and attention to detail.

Key Tech Stack: Python, Selenium, Cypress.io, Robot Framework, Postman, SoapUI, API Testing, CI/CD

Responsibilities

Functional Testing

• Perform end-to-end and integration testing of AI-driven features.
• Validate workflows, API interactions, and AI model outputs.
• Conduct UI/UX testing across devices and browsers.
• Support UAT activities.

Data & AI Model Validation

• Verify datasets for training, testing, and fine-tuning AI models.
• Ensure data integrity and validate preprocessing pipelines.
• Test data flows between models, backend, and frontend.
• Check models with edge cases and adversarial scenarios.

Non-Functional Testing

• Conduct load, stress, and performance testing (JMeter).
• Run scalability checks under high traffic conditions.
• Perform security testing of data handling, APIs, and AI models.

Deployment & Post-Deployment Testing

• Automate regression tests and support continuous delivery.
• Validate builds, releases, and hotfixes in production.
• Track defects and ensure timely resolution.
• Monitor AI model performance in production.

Automation & API Testing

• Build and maintain test automation frameworks (Selenium, Cypress, Robot Framework).
• Run API testing with Postman and SoapUI.
• Support compliance and data security testing.

Project

This role is for a GenAI QA Analyst position in a project dedicated to validating AI-driven solutions and ensuring their reliability, security, and performance.

On-site | Warsaw, Poland
Experience: 5+ years in ML/AI
 

Requirements:

• 5+ years of experience in ML/AI engineering with a focus on Generative AI (LLMs, TTS) and voice-based conversational systems.
• Strong background in API/service engineering and streaming implementations.
• Proven experience with hardware/software validation and compatibility checks (GPU, OS, dependencies, audio I/O, codecs).
• Expertise in stress testing, latency consistency, and quality assurance for audio pipelines.
• Experience with model release management: shipping, rollbacks, integrations, and end-to-end impact assessment.

Nice to Have:

• Performance optimization: load balancing, dynamic batching, caching.
• Knowledge of observability and reliability systems (logging/tracing, health checks, alerting, dashboards).

Key Tech Areas: Machine Learning, AI, APIs, Audio Streaming (ASR, TTS, VAD, Diarization)

Responsibilities:

Model Delivery & Integration

• Own end-to-end delivery of audio ML models between Applied Science and Engineering teams.
• Architect and implement streaming audio services (ASR, TTS, VAD, Diarization).
• Validate compatibility across hardware/software setups in development and production.
• Ensure smooth integration with other system components while preserving audio quality and performance.

Testing & Quality Assurance

• Perform stress, soak, and performance testing for audio services.
• Maintain quality, low-latency, and stability under heavy load.

Model Release & Lifecycle Management

• Manage release of new model versions and architectures.
• Provide rollback strategies and monitor end-to-end impact.

Performance & Observability (Optional)

• Optimize performance with batching, caching, and load management.
• Build observability tools: structured logging, tracing, health monitoring, alerting, and dashboards.

Project:

This role is for an Audio ML Engineer responsible for delivering, testing, and scaling audio-based AI systems (speech recognition, synthesis, and conversational AI).

📍 On-site | Warsaw, Poland
💼 Experience: 5+ years
 

Requirements

• 5+ years of professional experience in full-stack development.
• Backend expertise: Python, FastAPI, NGINX configuration, SQLAlchemy ORM.
• Frontend expertise: React, TypeScript, Vite (or similar modern build tools).
• Database: MSSQL (schema design, SQL queries, stored procedures).
• Containerization: Docker (writing Dockerfiles, managing containers).
• Proven ability to design and build end-to-end systems.
• Strong problem-solving and debugging skills.
• Excellent communication and collaboration.

Nice to Have

• Hands-on experience with Generative AI models (LLMs, diffusion, TTS).
• Cloud platforms: AWS, Azure, GCP.
• CI/CD experience (Jenkins, GitLab CI).
• Knowledge of WebSocket or real-time protocols.

Key Tech Stack: Python, FastAPI, React, TypeScript, SQLAlchemy, MSSQL, NGINX, Docker, AI

Responsibilities:

Backend Development

• Design and maintain scalable backend services with Python & FastAPI.
• Integrate and serve Generative AI models efficiently.
• Configure and manage NGINX for performance and security.
• Implement and manage database models with SQLAlchemy ORM.

Frontend Development

• Build responsive UIs using React & TypeScript.
• Use Vite for modern, optimized workflows.
• Convert UI/UX designs into reusable and scalable components.
• Ensure smooth communication between frontend and backend.

Database & Deployment

• Design/manage schemas in MSSQL.
• Write efficient SQL queries and stored procedures.
• Containerize applications with Docker for dev, test, prod.
• Collaborate with DevOps for production-ready deployments.

Project

This position is for a Senior Full-Stack Developer with a strong focus on Generative AI, responsible for delivering robust, scalable, and production-ready solutions that connect backend, frontend, and AI-driven components.

📍 Remote | Poland
💼 Experience: 6+ years
 

Requirements

• 6+ years of Python development, including concurrency, multiprocessing, and clean architecture.
• 3+ years of production experience with Google Cloud Platform (GCP).
• Hands-on expertise with GCP services: BigQuery, Cloud Storage, Firestore, Pub/Sub, Cloud Logging, Cloud Trace, Workflows.
• Proven experience with Generative AI: Google GenAI SDK, Vertex AI, LangChain.
• Strong API development (Flask) and CLI tools experience.
• Security & compliance: IAM, impersonated credentials, Google DLP.
• Proficiency with Pydantic models and settings.
• Strong knowledge of data formats (CSV, JSON) and libraries (pandas).
• Excellent communication and mentoring skills.

Nice to Have

• Experience with document processing tools: PyPDF2/pypdf, pdf2image, pytesseract, python-docx, openpyxl.
• Observability knowledge: OpenTelemetry, Cloud Trace exporter, structured logging.

Key Tech Stack: Python, GCP, Flask, Vertex AI, LangChain, APIs, pandas

Responsibilities

• Build and optimize data ingestion pipelines and cloud-native AI solutions.
• Integrate Generative AI models with Google GenAI SDK, Vertex AI, LangChain.
• Develop high-quality APIs and CLI tools.
• Implement observability and monitoring with OpenTelemetry.
• Ensure security and compliance (IAM, DLP, GCP best practices).
• Mentor a junior developer and promote coding best practices.
• Drive performance optimization and contribute to architecture design.

Project

This role is for a Senior Python Developer with strong GCP and Generative AI expertise, focusing on building production-grade, cloud-native AI systems and mentoring junior team members.