Jobs Data & Analytics

Description: We are expanding our team at Piligrim and looking for a strong Senior Data Engineer / Solution Consultant for long-term enterprise projects and data platform modernizations.

What you will do:

• Design and build enterprise-scale data systems, data warehouses, data lakes, and lakehouse architectures.
• Handle end-to-end data migrations (including cloud and legacy systems/SAP BW transitions).
• Define data architecture standards, develop data models, and optimize pipeline performance.

Key Requirements:

• 5+ years of experience in data management, data engineering, or solution architecture.
• Strong hands-on experience with Databricks, Spark, Python, and SQL.
• Experience with cloud ecosystems (Azure, AWS, or GCP) including CI/CD, DevOps, and Infrastructure as Code.
• Proven background in large-scale data migrations or data platform modernization.
• Experience with SAP BW structures, data models, or finance domain expertise is a strong plus.
• English level: B2–C1 (fluent communication for direct client interaction).

Hello!

Let's get acquainted. Breezy is a Leader in Trade-In and refurbishment company in central, south-eastern Europe and the Caucasus. We have nearly 200+ employees across 7 countries, and every day we create businesses, products, and projects that we are proud of.

We are part of the international holding ASBIS, one of the leading distributors of Information and Communications Technology products and solutions in EMEA Emerging Markets.

What do we do?

Trade-In is a service that allows customers in our partner stores to trade in their devices for a discount or a certificate to purchase a new device.

We manufacture refurbished smartphones, giving them a second life.

We also have our own retail stores and an online store.

Our partners include the largest electronics chains, telecom operators, IT companies, and authorized Apple partners.

At Breezy, we're building an ecosystem that extends the lifespan of gadgets and makes technology more accessible. We're growing, expanding our markets, and improving our internal processes. To support this growth, we're implementing and developing an ERP system that connects our sales, service, warehouse, and finance functions.

Learn more about us and the team at this link: https://breezy.band/

We're currently seeking an ERP Business Analyst to help translate business needs into clear and effective system solutions. You'll be the link between users and the development team, influencing how the company operates internally and how we grow.

Requirements:

1. 3–5 years of experience as a Business Analyst (ERP experience required).
2. Strong understanding of business processes across Finance, Sales, HR, Inventory, Procurement, and Manufacturing.
3. Excellent skills in requirements gathering, process mapping and documentation.
4. Experience with ERP implementation life cycle (from design to go-live). SAP, Oracle expertise are welcome.
5. Familiar with API integration in multi-platform projects. Worked with Postman or similar.
6. Strong communication, facilitation, and stakeholder management skills.
7. English intermediate technical.
8. User training experience.

Key Responsibilities:

Requirements Gathering & Analysis

1. Engage with business stakeholders to identify needs and translate them into functional specifications.
2. Map current processes and design optimized workflows using internal ERP modules.
3. Document business requirements, use cases, and user stories.

System Design & Customization

1. Collaborate with ERP consultants and developers to design and configure solutions.
2. Validate feasibility of customizations and integrations.
3. Ensure alignment of system functionality with business processes.

Testing & Validation

1. Define acceptance criteria and support QA/testing activities.
2. Assist in UAT (User Acceptance Testing) with business stakeholders.
3. Ensure data consistency and accuracy during migration.

Change Management & Training

1. Support end-users with documentation, manuals, and training sessions.
2. Promote adoption and address resistance by demonstrating business value.
3. Act as a key point of contact between IT and business units.

Continuous Improvement

1. Monitor system performance and gather user feedback post-implementation.
2. Recommend enhancements and new ERP features to improve efficiency.

Key Competencies:

1. Analytical and critical thinking.
2. Strong problem-solving orientation.
3. Ability to translate business needs into technical solutions.
4. Collaborative and cross-functional mindset.
5. Effective communication across technical and non-technical audiences.

We promise that with us you will have the opportunity for:

• Professional realization, experience exchange, and career development.

• Working in a financially strong, fast-growing international company.

• Being part of a like-minded team in a friendly atmosphere. This is a driven, ambitious team that achieves high results.

• Engaging in interesting tasks and implementing your own ideas and solutions.

• Flexible schedule and the possibility of remote work.

• Special prices on company products.

Breezy is a meeting place for professionals aiming for great achievements.

Do you want to tackle ambitious tasks, experiment, and develop the Trade-In service that has a global impact on the world and helps preserve our planet?

Then we look forward receiving your CV! Join us!

We’re looking for a Business Analyst to join our growing team! If you’re passionate about understanding user needs, turning complex business requirements into clear specifications, and collaborating with cross-functional teams to build impactful digital products — we’d love to meet you.

Requirements:

• 2+ years of experience as a Business Analyst in IT
• Solid understanding of SDLC, Agile (Scrum) methodologies
• Experience working with client-server architecture and web development principles
• Confident in using techniques for requirements elicitation (interviews, surveys, focus groups, workshops)
• Hands-on experience with BA tools and frameworks
• Strong documentation skills: ability to write SRS, user stories, use cases,  acceptances criteria (Gherkin/rule-based)
• Experience with various types of diagrams:
• Process and behavior diagrams – BPMN, user flow, activity diagrams
• Interaction diagrams – sequence diagrams, use case diagrams
• System modeling – context diagrams, data flow diagrams (DFD)
• Ability to define business goals and problems using structured approaches (e.g., Problem Definition Canvas)
• Experience leveraging AI-powered tools and assistants (e.g., ChatGPT, Claude, Gemini) to streamline business analysis activities, documentation, research, and requirements elicitation.

• English: Upper-Intermediate or higher

   

  What You’ll Be Doing:

• Collaborate with stakeholders to gather, clarify, and prioritize business and technical requirements
• Create and maintain detailed documentation: SRS, user stories, use cases, acceptance criteria (Gherkin/rule-based)
• Visualize processes through diagrams (user flows, BPMN, Activity/Sequence diagrams)
• Participate in discovery phases, brainstorming, and solution design
• Work closely with Product Owners, Designers, and Developers to ensure clear understanding and alignment
• Conduct backlog grooming, support sprint planning, and participate in retrospectives

• Use tools like Jira and Confluence to manage requirements and project assets
   

  We Offer:

• A structured career development roadmap to understand how and where to grow
• A flexible 8-hour work schedule - you choose when to start working, but agree on it with the team
• 20 paid vacation and 5 sick leaves days after the probationary period
• Medical insurance program
• Opportunities for professional growth within the company

• Sport benefits

   

About Platform DareBay

DareBay is a UGC marketplace platform (Web & Telegram) connecting brands with content creators via automated, metric-based challenges and contests. We are in the pre-release stage - the product is live, scaling fast, and you will see the direct impact of your work immediately.

The Role

We are looking for a Data Engineer (2–4 years of exp.) to own, audit, and scale our data infrastructure. You will maintain data platforms under growing client loads, working closely with the CTO, Backend team, and Data Analysts.

Key Responsibilities:

• Audit, optimize, and maintain the existing data infrastructure.
• Build and scale reliable batch/streaming ETL/ELT pipelines.

• Collaborate with the CTO and analytics team to ensure data availability and quality.

   

Technical Stack:

• Core: Python & Advanced SQL (optimization, window functions).
• Processing & Orchestration: Apache Spark / Flink, dbt, Apache Airflow.
• DWH & Lakes: Snowflake / BigQuery / Redshift, ClickHouse (OLAP), Apache Iceberg.
• Streaming & Infra: Apache Kafka, Docker, Kubernetes, CI/CD.
• Data Quality: Great Expectations / Soda / Monte Carlo.

• Pluses: Java, Grafana/Prometheus, Telegram Bot API.

   

Requirements:

• 2–4 years of commercial Data Engineering experience.
• English: Upper-Intermediate (for documentation and tech communication).

• Ability to work closely with cross-functional teams (CTO, Backend, Analytics).

   

What We Offer:

• Remote-first format & flexible hours.
• Direct impact on architecture at an early scaling stage.
• Direct collaboration with the core team (CTO).

Role Overview:
We’re looking for an experienced Middle Data Analyst to join analytics team in the iGaming industry. You’ll take ownership of complex analytical tasks, drive data- informed decisions across multiple business functions, and serve as a go-to expert for data quality, player behaviour analytics, and reporting. If you have a solid background in gambling analytics and love working with large datasets, we want to hear from you.

Key Responsibilities:

• Design and own end-to-end analytical workflows in Amazon Redshift — complex multi-step SQL: window functions, CTEs, large-scale joins, and performance tuning;
• Conduct deep-dive player behaviour analyses: segmentation, RFM modelling, cohort analysis, LTV forecasting, and churn prediction;
• Analyse A/B test results — interpret statistical significance, evaluate group comparability, identify confounding factors, and deliver clear recommendations to stakeholders;
• Track and analyse iGaming KPIs — GGR, NGR, bonus abuse index, deposit/withdrawal trends, player LTV, and churn — proactively flagging anomalies;
• Integrate and actively apply AI tools into day-to-day analytical work: prompt engineering, AI-assisted SQL generation, automated insight summarisation;
• Translate complex data findings into clear, actionable outputs for non- technical stakeholders via Excel reports and presentations;
• Learn and work in EasyMorph for reporting and data preparation tasks as part of team onboarding.

Required Skills & Experience:

Technical skills:

• 3–4 years of hands-on experience as a Data Analyst in iGaming or online gambling — mandatory;
• Advanced SQL in Amazon Redshift — window functions, CTEs, subqueries, query optimisation, and working with large-scale datasets;
• Experience with BI tools (Power BI, Tableau, Looker, or similar) - working with dashboards and using them to extract insights;
• Proficiency in Excel: advanced pivot tables, vlookups and executive-level reporting;
• Strong command of iGaming KPIs: GGR, NGR, player LTV, churn rate, bonus abuse metrics, deposit/withdrawal volumes;
• Solid understanding of A/B test analysis — interpreting p-values, confidence intervals, and effect sizes; experience evaluating pre-test group balance and flagging randomisation issues;
• Practical use of AI tools in analytical workflows: LLMs for insight generation, AI-assisted querying, prompt engineering for data tasks;
• Strong data quality mindset — ability to sense-check numbers, investigate inconsistencies, and ensure analytical accuracy;
• Clear English communication, written and verbal (upper-intermediate+).

Nice to Have:

• Familiarity with Amazon QuickSight: navigating dashboards, using built-in features (Q / flow), filters, and calculated fields;
• Exposure to EasyMorph or similar ETL/data preparation platforms.

Soft Skills:

• High ownership and autonomy — you manage your tasks end-to-end without hand-holding;
• Structured analytical thinking — you break down ambiguous business questions into clear data problems;
• Proactive communication — flagging anomalies, pushing back on flawed assumptions, and keeping stakeholders aligned;
• Ability to manage multiple priorities and deliver under deadlines in a fast-paced environment;
• Collaborative mindset — comfortable working across teams and supporting junior colleagues.
   

The company guarantees you the following benefits:

• A positive workplace atmosphere that creates a culture of collaboration and support, making it a place you'll love working in;
• Competitive compensation and regular career development reviews;
• Flexible working hours and remote working options, you'll enjoy the freedom that the company provides;
• A generous vacation and sick leave policy, allowing you to take time off and enjoy a work-life balance;
• Financial assistance for professional development, helping you stay ahead of the curve and love your career path;
• Educational Allowances that give you the opportunity to expand your knowledge and experience;
• You'll have a monthly allowance for personal activities, giving you the opportunity to pursue your interests and hobbies outside of work;
• A comprehensive health insurance plan, depending on your current location;
• Referral program with financial rewards for bringing top talent to the company;
• Engaging in team-building activities and corporate parties.
   

Interview process:

• HR Interview with the Recruiter;
• 30 minutes’ technical interview;
• 1.5-hour Final interview with the team;
• Final decision.
   

If you find this opportunity right for you, don't hesitate to apply or get in touch with us if you have any questions!

Our partner is one of the largest retail e-commerce companies in North America, serving millions of customers each year and ensuring a secure and seamless shopping experience across digital and in‑store channels.

We are looking for skilled and motivated engineer Data engineer to join the innovative team. The Orchestration team manages platforms within Insights Delivery Technology organization and offers self-service solutions designed to empower engineers, data scientists, and analysts to seamlessly perform ETL/ELT operations on data from diverse sources such as Kafka, S3, GCS, BigQuery, and Postgres, and write processed data back to these sources via batch or real-time processes.

As an Orchestration Team Engineer, you will play a critical role in developing and maintaining this robust platform, ensuring that users can efficiently extract actionable insights without being burdened by the complexities of big data technologies. Your work will enable to client to scale its operations while keeping technical demands on non-engineering staff to a minimum.

Responsibilities

• Platform Support: Perform ongoing production support and on-call support duties. Work with both onsite and offshore resources daily to resolve incidents and issues.
• Platform Development: Evolve, design, and maintain our orchestration platforms which aim to abstract the complexities of big data technologies and simplify ETL/ELT operations for users
• Infrastructure as Code: Provision and manage cloud data infrastructure declaratively with Terraform, delivering self-service platform capabilities through automated, version-controlled pipelines.
• Integration: Develop seamless connectivity to diverse data sources and destinations, ensuring high performance and reliability.
• Data Governance & Metadata: Build and operate metadata, cataloging, and data-lineage capabilities that make data across Nordstrom discoverable, trustworthy, and well-governed — including integrations across transformation, streaming, BI, and ML platforms.
• Scalability: Design solutions that are scalable and resilient, capable of handling large data volumes, high velocity, and diverse data formats.
• Innovation: Stay up-to-date with emerging big data, ETL, and AI-assisted tooling, incorporating them into the framework as needed to enhance functionality and user experience.
• Documentation: Create and maintain comprehensive documentation, ensuring users can easily understand and utilize the framework

Skills Required

• Proficiency in SQL (e.g., BigQuery).
• Solid understanding of ETL/ELT processes, data pipeline architecture, and modern transformation frameworks such as dbt.
• Strong programming skills in Python, with the ability to build and maintain CLIs, services, and automation.
• Experience with cloud data platforms, primarily GCP (BigQuery, Dataproc Serverless, GCS); AWS experience a plus.
• Experience with Infrastructure as Code — particularly Terraform — for provisioning and managing cloud data infrastructure.
• Experience building and orchestrating data pipelines with Airflow and Kubernetes.
• Experience with streaming / event data using Kafka (e.g., Confluent Cloud).
• Working understanding of data governance concepts — metadata management, data cataloging, and data lineage.
• Familiarity with CI/CD and Git-based workflows (GitHub Actions) for platform and pipeline delivery.
• Proficiency with AI-assisted developer tooling — LLMs, the Model Context Protocol (MCP), and "copilot"-style productivity tools — and a track record of using them to work more effectively.
• Excellent problem-solving and communication skills, with the ability to work effectively in a collaborative environment.

Nice to Have

• Hands-on experience with a metadata / data-catalog / lineage platform such as DataHub (or Collibra, Amundsen, or similar).
• Experience with BI / semantic-layer tools such as Looker / LookML.
• Experience with data quality, observability, SLOs / error budgets, and on-call operations for data platforms.
• Familiarity with distributed processing frameworks such as Spark; Java / Scala a plus.

We are looking for an AI Solutions Engineer to join our team! The AI Solutions Engineer designs, builds, and operates production-ready AI solutions for IT Operations, IS Operations, and Governance. Working with the AI Enablement Lead and operational experts, the role turns prioritized use cases into secure, maintainable, and reusable AI capabilities.

Responsibilities:

• Design, build and deploy AI agents and AI-enabled solutions.
• Implement Retrieval-Augmented Generation, prompt workflows and process automations.
• Integrate AI solutions with existing applications, knowledge sources and enterprise platforms.
• Develop reusable technical components, integration patterns and implementation standards.
• Work closely with operational experts to turn use cases into production-ready solutions.
• Ensure that solutions are secure, maintainable, scalable and aligned with the wider client's AI technology stack.
• Monitor, support, and continuously improve productive AI solutions.
• Instrument solutions to measure the productivity improvements achieved.

Requirements: 

• Hands-on experience developing and deploying AI solutions in productive environments.
• Strong knowledge of AI agents, Retrieval-Augmented Generation, and prompt engineering.
• Experience with Azure AI, Azure OpenAI, Microsoft Copilot Studio or comparable platforms.
• Strong development skills in Python and experience with REST APIs.
• Experience integrating AI solutions with Microsoft 365 and enterprise applications.
• Knowledge of workflow and automation platforms.
• Experience with GitHub, testing, monitoring, and technical documentation.
• Good understanding of AI security, access management, logging and lifecycle management.

The product we are working on is one of TOP-3 navigation systems, complex web-services and other solutions related to it. The web and mobile apps handle information at massive scale and extend well beyond the search giving people and companies a lot of new useful options.

You will play a high-impact role within a small, efficient team dedicated to bridging the gap between Engineering and Data Science. Your work will focus on building cutting-edge Generative AI infrastructures and frameworks that significantly boost productivity across the whole product. You will develop tools that bring engineering rigor to data science workflows, solving complex problems in the GenAI space that the market has yet to crack. This is a high-impact role in a small team. You will be working alongside talented engineers and data scientists to build productivity-defining products for the next generation of the application.

Requirements:

• Location in Warsaw (Office-based role in Warsaw).
• 5+ years of experience in software development, with a focus on infrastructure or data-centric applications.
• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
• Strong proficiency in Python and a solid understanding of backend architecture.
• Experience with SQL and the ability to handle complex data structures.
• Problem-Solving: Ability to write clean, abstract, and maintainable code for a rapidly evolving GenAI landscape.
• Communication: Excellent communication skills for collaborating with geographically distributed teams and translating data science needs into technical requirements.

• Fluency in English.

   

Nice to have:

• Generative AI Expertise: Familiarity with LLM orchestration frameworks, prompt engineering, or vector databases.
• Polyglot Programming: Experience with Kotlin, Java, Bash, or HCL (Terraform).
• Frontend Interest: Experience building chat interfaces or data visualization dashboards.

• Large-Scale Systems: Experience working on large-scale infrastructure that serves a diverse range of internal or external users.

   

Responsibilities:

• GenAI Development: Design, develop, and maintain features for our GenAI analytics agent (DataWhiz) that serve the entire organization for complex data analytical inquiries.
• Framework Optimization: Improve and scale the internal GenAI framework, including fixing bugs and optimizing the core engine for performance and reliability.
• UI/UX Enhancement: Build and implement new UI features for the GenAI chat interface to ensure a seamless experience for internal stakeholders.
• Cross-Functional Collaboration: Partner with development, product, and UX teams to define product requirements, while collaborating with core platform engineers to ensure infrastructure alignment.

• Engineering Excellence: Bridge the gap between Engineering and Data Science by applying software engineering best practices (code reviews, CI/CD, scalability) to DS workflows.

   

We offer:

• Opportunities to develop in various areas;
• Compensation package (20 paid vacation days, paid sick leaves);
• Flexible working hours;
• Medical Insurance;
• English courses with a native speaker, yoga (zoom);
• Paid tech training and other activities for professional growth;
• International business trips

• Comfortable office (Office-based role in Warsaw - 5 days in the office)

   

If your qualifications and experience match the requirements of the position, our recruitment team will reach out to you in a week maximum. Please rest assured that we carefully consider each candidate, but due to the amount of applications the review and further processing of your candidacy may take some time.

🚀 We are looking for a Middle AI Engineer to build scalable AI-powered applications, developer tools, and workflow automation solutions that improve engineering productivity and deliver measurable business value.

This role is ideal for a strong Python engineer with hands-on experience building and deploying LLM-based applications. You will work on solutions involving RAG, AI agents, model integrations, backend services, and AI evaluation.

🎯 Responsibilities

- Design, build, and deploy LLM-powered applications from prototype to production.

- Develop AI agents, tool-using workflows, and multi-step automation solutions.

- Build and improve RAG pipelines using internal and third-party data sources.

- Integrate commercial and open-weight models such as OpenAI, Anthropic Claude, Google Gemini, and Llama-based models.

- Develop AI-powered capabilities such as code assistance, document generation, summarisation, knowledge search, and workflow automation.

- Build backend services, APIs, integrations, and data flows using Python.

- Implement embeddings, vector search, reranking, structured outputs, and tool calling.

- Evaluate AI outputs and improve relevance, accuracy, reliability, latency, and cost efficiency.

- Add logging, monitoring, error handling, fallback mechanisms, and output validation to AI systems.

- Deploy and maintain AI services in cloud environments.

- Collaborate with product, engineering, and business teams to deliver production-ready AI solutions.

🧩 Requirements

- 3+ years of commercial Python development experience.

- Hands-on experience building and deploying LLM-powered applications.

- Practical experience with at least one of the following:

  - RAG systems;

  - AI agents;

  - multi-step LLM workflows.

- Experience developing backend systems, REST APIs, integrations, and data flows.

- Experience with FastAPI, Django, Flask, or another Python backend framework.

- Hands-on experience with LangChain, LangGraph, LlamaIndex, or a similar AI orchestration framework.

- Experience working with OpenAI, Anthropic, Gemini, Llama-based models, or similar technologies.

- Practical understanding of prompt design, structured outputs, tool calling, and output validation.

- Experience with embeddings, vector search, and at least one vector database.

- Understanding of RAG concepts such as chunking, retrieval, reranking, and response generation.

- Experience evaluating and improving LLM output quality.

- Experience with Docker, Git, automated testing, and CI/CD workflows.

- Experience deploying applications to AWS, Azure, GCP, or another cloud platform.

- Understanding of common production AI challenges, including hallucinations, latency, rate limits, reliability, and cost control.

- English level: Upper-Intermediate or higher.
 

🧩 Nice to Have

- Experience with multi-agent systems.

- Experience building custom tools for AI agents.

- Familiarity with MCP servers, clients, or MCP-based integrations.

- Experience with LLM evaluation and observability tools such as LangSmith, Langfuse, Arize Phoenix, or similar.

- Experience with advanced retrieval techniques, hybrid search, or retrieval evaluation.

- Experience working with open-weight models and model-serving solutions.

- Familiarity with AI safety, guardrails, prompt injection protection, and responsible AI practices.

- Experience with Kubernetes or scalable AI service deployment.

- Experience building AI-powered developer tools.

🧩You'll have an opportunity to:

Build production-ready AI applications used by real users.

Work with modern LLM technologies, AI agents, and RAG systems.

Collaborate with experienced international engineering teams.

Gain hands-on experience with rapidly evolving AI frameworks and cloud platforms.

Solve challenging engineering problems and contribute to scalable AI solutions.

Continuously grow your expertise in Generative AI and modern software engineering

Our Customer is a leading retail technology company specializing in AI-driven pricing optimization solutions for enterprise retailers. The company helps businesses improve profitability and competitiveness through advanced analytics, automation, and intelligent pricing strategies. Their platform combines business intelligence with sophisticated algorithms to support data-informed pricing decisions at scale for global retail organizations.
 

PROJECT

The project focuses on the strategic migration of a large-scale analytical platform from a legacy BigQuery ecosystem to a modern Databricks Lakehouse architecture. The platform processes high-volume retail datasets, machine learning workloads, analytics pipelines, and customer-specific business logic.
As part of the modernization initiative, the engineering team is implementing scalable Spark-based processing, Delta Lake architecture, medallion data layers, and modern governance practices. The role offers an opportunity to work with distributed data processing systems, optimize large-scale workloads, and contribute to the evolution of an enterprise-grade data platform.

Key Technologies: Databricks, Apache Spark, PySpark, Delta Lake, Python, SQL, Airflow, GCP, CI/CD, Unity Catalog

Job Description

• Participate in the migration of a large-scale analytical platform from BigQuery to Databricks
• Design and implement scalable Lakehouse architectures using Databricks and Delta Lake
• Analyze existing ETL / ELT workloads and define migration approaches
• Develop and optimize data pipelines processing large volumes of retail and analytical data
• Implement incremental processing strategies and scalable transformation frameworks
• Build and maintain Spark-based data processing solutions using PySpark
• Design and maintain medallion architecture layers including Bronze, Silver, and Gold
• Implement data governance and security best practices using Unity Catalog
• Collaborate with Data Science, Analytics, Product, and Customer Engineering teams
• Participate in architecture discussions and technical solution design
• Develop reusable data platform components and engineering standards
• Conduct code reviews and contribute to platform reliability and maintainability
• Troubleshoot and optimize complex SQL and Spark workloads
• Support production deployments and platform modernization activities

Qualifications

• 5+ years of professional experience as a Data Engineer
• Strong programming skills in Python and advanced SQL
• Hands-on commercial experience with Databricks
• Strong knowledge of Apache Spark, primarily PySpark
• Experience designing and building modern cloud-based data platforms
• Experience developing ETL / ELT pipelines and large-scale data processing solutions
• Hands-on experience with Delta Lake
• Experience with Spark Declarative Pipelines
• Experience with cluster monitoring, metrics analysis, and performance optimization
• Strong understanding of distributed data processing architectures
• Solid understanding of data warehousing concepts and dimensional modeling
• Experience with Airflow or similar orchestration tools
• Experience optimizing complex analytical SQL workloads
• Experience implementing CI / CD practices for data engineering platforms
• Strong troubleshooting and performance optimization skills
• Ability to work collaboratively in cross-functional international teams
• Upper-Intermediate or higher English level
   

WILL BE A PLUS

• Experience working with GCP cloud services
• Experience with AWS or Azure cloud platforms
• Experience in retail analytics or pricing optimization domains
• Experience supporting machine learning or AI-related data workloads
• Experience with platform modernization and cloud migration initiatives

Additional information

PERSONAL PROFILE

• Strong analytical and problem-solving mindset
• Proactive and ownership-driven approach
• Ability to work independently and collaboratively
• Good communication and stakeholder collaboration skills
• Passion for scalable data engineering and modern data platforms
• Interest in continuous learning and technology innovation

Dataforest is looking for a Data Engineer to join an interesting software development project in the field of Cybersecurity. Our client’s platform offers Identity Insights drives real-time, multi-contextual digital forensics to protect new account opening workflows and expose fake accounts already in a customer database.

You'll be a great fit if you have:

- 3+ years of hands on in data engineering;
- 3+ years of commercial experience with Python;
- Advanced experience with SQL DBs (optimisations, monitoring, etc.);
- Advanced experience with PySpark;
- Solid understanding of ETL principles (architecture/ monitoring/ alerting/search and resolve bottlenecks);
- Familiar with AWS infrastructure (boto3, S3 buckets, etc);
- Experience working with large volumes of data;
- Understanding the principles of medallion architecture.

Would be a plus:

- Cassandra/Scylla
- PostgreSQL
- Pandas
- Experience with Kafka and Redis

What you'll do:

- Maintain data processing architecture using Python and PySpark that interacts with ScyllaDB & PostgreSQL.
- Work with Databricks infrastructure to ensure reliability, scalability, and cost efficiency.
- Proactively identify bottlenecks and suggest technical improvements.

We ensure your growth with:

- Working in a fast-growing company;
- Great networking opportunities with international clients, challenging tasks;
- Personal and professional development opportunities;
- Competitive salary fixed in USD;
- Paid vacation and sick leaves;
- Flexible work schedule;
- Friendly working environment with minimal hierarchy;
- Team building activities, corporate events.

Domain: Banking & Finance
Experience: 10+ years
Project Duration: September 1, 2026 – June 29, 2027
Format: Remote
Location: Poland

About the Project

We are looking for a Data & Machine Learning Architect to join a greenfield initiative focused on building a next-generation, cloud-native digital banking platform.

The project aims to create a scalable, modular, API-first, event-driven, and AI-powered ecosystem supporting real-time operations, faster product innovation, and sustainable business growth.

The platform will leverage modern Microsoft Azure services, advanced data technologies, and machine learning capabilities to enable digital transformation at scale.

Responsibilities

• Define and design end-to-end data and machine learning architectures using Microsoft Azure
• Lead the design and implementation of modern data platforms covering data lakes, data warehouses, real-time streaming, and analytics
• Develop scalable ML pipelines covering data ingestion, model training, deployment, monitoring, and automated retraining
• Establish MLOps practices, CI/CD standards, governance frameworks, and best practices across data and AI environments
• Ensure data quality, security, regulatory compliance, reliability, and operational excellence across the platform
• Collaborate with business and technical stakeholders to translate business requirements into robust and scalable technology solutions
• Provide architectural guidance, technical leadership, and mentorship to engineering teams
• Evaluate emerging technologies and contribute to the strategic roadmap for data and AI capabilities

Requirements

• 10+ years of professional experience across Data Engineering, Data Architecture, Analytics, Artificial Intelligence, or Machine Learning
• Proven experience designing and delivering enterprise-scale data and machine learning platforms within the Microsoft Azure ecosystem
• Advanced knowledge of Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage, Azure Machine Learning, AKS, and Azure DevOps
• Practical experience implementing MLOps practices, including ML lifecycle management, model governance, monitoring, and CI/CD automation
• Strong understanding of machine learning workflows, feature engineering, model deployment, and responsible AI principles
• Solid expertise in data governance, security, regulatory compliance, and metadata management
• Strong hands-on programming skills with Python and SQL
• Experience with containerization and orchestration technologies such as Docker and Kubernetes
• Strong leadership, communication, collaboration, and stakeholder management skills
• Fluent business and technical English

Tech Stack

• Data Engineering
• Data Analysis
• AI / Machine Learning
• Microsoft Azure
• Azure Data Factory
• Azure Databricks
• Azure Synapse Analytics
• Azure Data Lake Storage
• Azure Machine Learning
• Azure DevOps
• CI/CD
• Python
• SQL
• Docker
• Kubernetes

Project Details

• Start date: September 2026
• Duration: 10 months
• Project type: Greenfield
• Verification process: Technical interview + project interview

Job Description

• Strong hands-on expertise in configuring and managing Amazon Connect environments
• Experience migrating legacy telephony workflows (specifically ServiceNow) to AWS/Amazon Connect
• Ability to collaborate effectively with Java development teams on backend integrations

Job Responsibilities

• Configure and deploy Amazon Connect workflows, specifically including call routing and roll-over capabilities
• Replicate the clinical escalation routing where an in-home provider calls a Service Coordinator (SC), with the option to roll the call over to the Nurse command center.
• Collaborate closely with the existing team handling the Java-based backend development to integrate the telephony configuration.

Department/Project Description

Goal: Replicate and migrate a critical provider escalation telephony workflow from ServiceNow to Amazon Connect

Intetics Inc., a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Technical Coordinator / Solution Engineer to join our dynamic team on a full-time basis.

We are looking for a hands-on technical professional who will serve as the primary on-site technical expert, supporting deployment, configuration, automation, monitoring, and troubleshooting activities within a customer environment. This role is ideal for a specialist with strong infrastructure and operational experience who enjoys working independently while collaborating closely with remote engineering and product teams.

Responsibilities

• Install, configure, and support local server-side software components.
• Support local environment setup and configuration of server and viewer-related components.
• Manage and support secure data preparation, upload, and processing workflows.
• Develop and maintain basic orchestration and automation scripts.
• Monitor technical environments and proactively troubleshoot issues.
• Investigate problems related to setup, configuration, data uploads, processing steps, and environment stability.
• Maintain setup documentation, troubleshooting records, and operational procedures.
• Communicate effectively with remote product and vendor technical teams in English.
• Escalate product-specific, environment-related, and data-quality issues to appropriate technical stakeholders.
• Work predominantly on-site at the customer location in Kyiv, depending on project needs.
• Act as the main technical representative on-site while coordinating with remote support teams.

Requirements

Required Qualifications

• Strong experience working with Windows and/or Linux server environments.
• Proven experience installing, configuring, and supporting server-side or enterprise software solutions.
• Hands-on scripting experience with Bash, PowerShell, or Python.
• Experience creating and maintaining workflow automation and orchestration scripts.
• Strong background in deployment, configuration, monitoring, and troubleshooting of technical environments.
• Understanding of secure environments, access control, credential management, and sensitive data handling.
• Ability to read technical documentation and follow setup and design instructions.
• Experience collaborating with remote technical teams and participating in English-language meetings.
• Strong analytical and troubleshooting skills.
• Ability to work independently with minimal supervision.

Nice to Have

• DevOps or Infrastructure Engineering background.
• Experience with on-premises or hybrid infrastructure environments.
• Experience working with data processing workflows.
• Familiarity with visualization platforms, viewer/server environments, or similar technical systems.
• Basic knowledge of encryption and decryption workflows.
• Experience working with APIs and integrations.
• GIS, spatial data, or 3D visualization experience.
• Customer-facing technical support, consulting, or implementation experience.

Specific Requirements

• Must be based in Kyiv or willing to work primarily from Kyiv.
• Availability for regular on-site presence at the customer location.
• Comfortable working within a sensitive and secure customer environment.
• Openness to customer-side background or security screening if required.
• Ability to act as the primary hands-on technical specialist on-site.
• Strong sense of ownership, responsibility, and communication skills.
• Ability to properly identify, prioritize, and escalate issues when necessary.

What You Should Know

• This is not a pure software development role.
• This is not a project management role.
• The primary focus is hands-on technical execution, including setup, configuration, scripting, monitoring, troubleshooting, and operational support.
• Product-specific onboarding, documentation, API guidance, and training will be provided by the product/vendor team.

Benefits

• Paid Time Off — 36 paid days per year
• Training & Development opportunities

Partial medical compensation


 

Position name: Senior Frontend Developer
Level: Senior

Hard skills requirements (including years):

• Expert TypeScript / JavaScript and React — strong commercial frontend engineering at Senior/Expert level
• Strong Next.js experience and deep understanding of modern frontend architecture
• Demonstrable experience with agentic / AI-assisted software development in real delivery environments — NOT vibe coding; includes appropriate testing, validation and engineering controls
• Automated testing: Playwright for E2E, Jest / Vitest or equivalent for unit/component testing
• GitHub / GitHub Actions and modern CI/CD workflows
• Security-conscious engineering approach, particularly for sensitive / regulated / digital-asset environments
• Web3 / blockchain experience strongly preferred; strong FinTech or financial services background accepted as alternative where candidate demonstrates technical curiosity and ability to ramp quickly
• Ability to shape solutions from high-level or partially defined requirements without heavily specified tickets
• Contribute to frontend architecture and technical design decisions
• Technical guidance and mentoring to another frontend engineer (without formal line management responsibility)

Soft skills requirements:

• Pragmatic, entrepreneurial and product-minded approach
• Comfort challenging assumptions and constructively calling out poor technical or product decisions
• Strong engineering judgement in underspecified environments
• Sociable, collaborative style suited to a close-knit distributed team
• User-focused mindset and pride in crafting high-quality experiences

Key responsibilities:

• Deliver senior-level frontend features across the company's product estate
• Develop scalable, maintainable interfaces using TypeScript, React and Next.js
• Help establish mature agentic / AI-assisted development patterns and engineering controls
• Test own code thoroughly — unit/component and E2E — and collaborate with QA
• Proactively identify Web3 and application-security edge cases
• Provide technical guidance and mentoring to the Cayman-based frontend engineer
• Research unfamiliar product or Web3 topics independently and propose pragmatic solutions