Jobs Data & Analytics

Looking for a Smart Contract Engineer 

Location: Remote / Anywhere
Start Date: ASAP
Engagement: Full-time, long-term (6+ months)
English: B2+
Interview Process: 1–2 rounds


About the Project
We are developing a cryptocurrency platform combining functionality across Ethereum and Solana.
The platform is inspired by Bustabit and Roobet Crash, featuring:

Rocket-style game chart similar to Roobet
Chat and player panel similar to Bustabit
Staking system
Referral system
Additional crypto-based features

Responsibilities

Own the deposit-lock smart contract on Solana and EVM — specification, development, deployment, and audit support.
Design the cross-chain settlement architecture together with the Protocol Engineer.
Develop comprehensive test suites using Hardhat and/or Foundry, including property-based fuzzing.
Work directly with external auditors, including Trail of Bits and OtterSec, throughout release cycles.
Follow smart contract security best practices and ensure production-ready implementations.

Requirements

Strong experience in smart contract development for EVM and/or Solana.
Hands-on experience with Solidity and relevant Solana smart contract technologies.
Strong knowledge of Hardhat, Foundry, or Truffle.
Experience with smart contract testing and property-based fuzzing.
Strong understanding of blockchain security and smart contract vulnerabilities.
Experience designing or implementing cross-chain protocols/settlement flows is highly desirable.
Experience working with security auditors is a strong plus.

Client: USA
Format: Outstaff
Workload: Full-time
Duration: 3+ months

We are looking for a Senior Data Engineer to join our client's team.

Requirements:

• 5+ years of Data Engineering experience
• Strong ETL/ELT experience in cloud environments
• Hands-on experience with both AWS and Azure
• Advanced SQL and relational database design
• Experience with Data Warehousing, Data Lakes, and Lakehouse architecture
• Strong knowledge of Data Modeling, Data Quality, and Performance Optimization
• Upper-Intermediate (B2+) English

If you're interested, feel free to send your CV.

Trinetix is looking for a skilled Business Analyst with strong expertise in SCRUM and a deep understanding of Agile delivery practices. This role involves close collaboration with product owners, stakeholders, and development teams to define, refine, and translate business needs into clear, actionable user stories and technical solutions. The ideal candidate is detail-oriented, proactive, and comfortable driving clarity and alignment across cross-functional teams. 
 

Requirements 

• 4+ years of experience in Business Analyst role 
• Strong knowledge of SCRUM methodology and practical experience working in Agile environments 
• Proven ability to work closely with product owners, stakeholders, and development teams 
• Experience in backlog refinement, defining acceptance criteria, and writing clear, actionable user stories 
• Ability to translate business needs into technical requirements 
• Strong communication and facilitation skills 
• Experience working with tools such as Azure DevOps, Microsoft Teams, Microsoft Excel, Confluence or SharePoint, Miro 
   

Nice-to-haves 

• Experience supporting or leading sprint planning 
• Background in business analysis or product ownership 
• Understanding of software development processes and technical terminology 
• Experience working in cross-functional, distributed teams 
• Familiarity with enterprise-level workflows or large-scale Agile environments 
   

Core Responsibilities 

• Collaborate with product owners, stakeholders, and development teams to define and refine business requirements 
• Lead and facilitate backlog refinement sessions to ensure user stories are well-defined, prioritized, and aligned with organizational goals 
• Support sprint planning by preparing clear, structured requirements and ensuring teams understand the scope 
• Ensure all user stories include clear acceptance criteria and are actionable for development teams 
• Translate business needs into effective technical solutions while fostering collaboration across teams 
• Maintain documentation and support alignment using tools such as Azure DevOps, Confluence/SharePoint, Miro, etc. 

Softsich is a young and ambitious international product tech company that develops scalable B2B digital platforms. We’re on the lookout for an experienced Data Engineer who’s ready to grow with us and shape high-load, data-driven solutions used by international partners.

It’s a match if you have:
– Hands-on experience with Python for data processing and pipeline development.
– Hands-on experience developing and maintaining data pipelines in Airflow.
– Experience with cloud platforms (AWS preferred).
– Strong SQL skills and experience with NoSQL databases (MongoDB).
– Experience with Git for version control and collaborative development workflows.
– Experience with CI/CD pipelines for building, testing, and deploying data pipelines and related code.
– Ability to work independently, take ownership, and collaborate effectively with analysts and product owners.
– Excellent collaboration skills.

Your key responsibilities will include:
– Develop and maintain data pipelines orchestrated with Airflow using Python-based DAGs.
– Develop and maintain data models in the analytical data warehouse (DWH) to support reporting and business intelligence use cases.
– Develop and maintain data validation scripts using Python, SQL, and pandas.
– Collaborate with analysts and product owners to deliver well-structured, reliable datasets.

Nice to have:
– Experience with DWH Snowflake.
– Experience with DataOps, DevOps practices and performance optimization.
– Experience with NoSQL databases (preferably MongoDB).

What we offer:

– Flexible schedule and remote format or offices in Warsaw/Kyiv — you choose.
– 24 paid vacation days, sick leaves, and health insurance (UA-based, other locations in progress).
– A supportive, friendly team where knowledge-sharing is part of the culture.
– Coverage for professional events and learning.
– Birthday greetings, team buildings, and warm human connection beyond work.
– Zero joules of energy to the aggressor state, its affiliated businesses, or partners.

Send over your CV now — we’d love to get to know you better!

RedCore is an international business group that creates technological solutions for digital markets. Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies.

We are looking for a Senior Data Scientist to join our team!  

Requirements: 
- Proven experience in analysis large amount of data;
- Experience in solving customer behaviour prediction tasks;
- Knowledge of ML algorithms for regression, classification, clustering, ability to apply them to business problems;
- Solid experience in SQL;
- Extensive experience with Python for data processing, modeling, and visualization.;
- Deep understanding of statistics, probability theory;
- Passion to drive projects from R&D to business value. 

Will be a plus: 
- Familiarity with AWS infrastructure and toolchain (SageMaker, CloudFormation, CloudWatch, etc.);
- Familiarity with BI tools (Metabase, Tableau);
- Experience with tools for managing ML workflows;
- Knowledge and experience with algorithms and data structures;
- Knowledge of OOP;
- Understanding of containerization technologies (Docker)
participation in Kaggle competitions. 

Responsibilities: 
- Develop and deploy predictive models for Customer Lifetime Value (LTV) to optimize marketing spend and improve retention strategies
- Developing and testing machine learning models for customer behaviour prediction, deploying to production;
- Working with tabular data - collecting, cleaning, and exploring datasets, building ML pipelines;
- Applying statistical methods to analyze and interpret data, finding patterns, insights to improve the quality of models;
- Maintaining existing models;
- Communicating and presenting results. 

Our benefits to you:

☘️An exciting and challenging job in a fast-growing business group, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance, and more

🤝🏻Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed

🧑🏻‍💻Modern corporate equipment based on macOS or Windows and additional equipment are provided

🏖Paid vacations, sick leave, personal events days, days off

💵Referral program — enjoy cooperation with your colleagues and get the bonus

📚Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences

🎯Rewards program for mentoring and coaching colleagues

✈️In-house Travel Service

🦄Multiple internal activities: online platform for employees with quests, gamification, presents and news, clubs for movie / book / pets lovers and more

🎳Other benefits could be added based on your location 

Cloudfresh ⛅️ is a Global Google Cloud Premier Partner, Zendesk Premier Partner, Asana Solutions Partner, GitLab Select Partner, Hubspot Platinum Partner, Okta Activate Partner, and Microsoft Partner.

Since 2017, we’ve been specializing in the implementation, migration, integration, audit, administration, support, and training for top-tier cloud solutions. Our products focus on cutting-edge cloud computing, advanced location and mapping, seamless collaboration from anywhere, unparalleled customer service, and innovative DevSecOps.

We're looking for an AI Architect to become our lead technical expert for client AI solutions and to help stand up our AI Competence Centre and internal AI Lab.

This is a client-facing technical role first, with a build-and-lead dimension. Expect roughly 60% solution architecture and pre-sales engineering for enterprise clients, and 40% establishing the AI Lab and mentoring engineers. You'll technically lead and raise the bar for the team - this is a technical leadership role, not a people-management line.
Reports to: Head of AI.

Requirements

• Experience & seniority. 5+ years in software, data, or ML engineering, including 3+ years delivering ML/AI in production and 2+ years in a client-facing architect or technical lead capacity.
• Cloud & AI infrastructure. Production-level experience on Google Cloud Platform, especially the Vertex AI suite, plus integrating third-party model providers such as Anthropic.
• GenAI engineering. Strong hands-on knowledge of RAG, agentic workflows, orchestration frameworks (LangChain, LlamaIndex), vector databases, and prompt/context engineering.
• Production & MLOps. Hands-on with the ML lifecycle, CI/CD for models, automated deployment, and cloud cost management - including right-sizing models (lighter vs. heavier) to control spend.
• Evaluation, guardrails & observability. Practical experience building LLM evaluations, guardrails, and monitoring for accuracy, safety, latency, and cost in production.
• AI governance & security. Familiarity with data governance, model risk, and EU regulation (EU AI Act, GDPR) as it applies to enterprise AI — we're primarily EU-based.
• Pre-sales & client experience. Proven experience presenting to enterprise clients, scoping technical projects, and translating complex AI concepts into clear business value.
• Technical leadership. Experience guiding engineers, reviewing architecture and code, and raising team capability.
• Languages. Native Ukrainian — required, as you'll run Ukrainian-language pre-sales — and strong English (B2+/C1 minimum).

• Mindset & agility. An intrapreneurial drive to build an AI Lab from scratch inside an established business, plus the agility to move smoothly between client pre-sales and deep technical architecture.

   

Responsibilities

• Solution architecture. Design and own end-to-end AI systems for strategic enterprise clients - reference architectures, data and retrieval pipelines, agentic layers, and integration with existing enterprise systems - with a clear path from prototype to scalable, secure, observable production.
• Pre-sales & consulting. Partner with sales to qualify and win AI opportunities: run technical discovery, scope solutions, size effort and cost, and translate AI into business value, ROI, and risk for C-level stakeholders.
• Technical leadership & mentorship. Set architecture and engineering standards, run design and code reviews, and level up engineers across the AI practice.
• AI Lab & R&D. Stand up and run the internal AI Lab - rapid client prototypes and cost-effective internal AI tooling - with a clear bar for what graduates into production.
• Partner collaboration. Work with our core AI partners (Google Cloud / Vertex AI, Anthropic) to build joint solutions, access early capabilities, and shape our technical roadmap.
• Governance, security & cost. Build guardrails, evaluation, and observability into every solution; keep architectures compliant (EU AI Act, GDPR) and cost-aware through right-sized model selection.

Would be a plus

• Google Cloud Professional Machine Learning Engineer and/or Professional Cloud Architect certification.
• Hands-on enablement or certification with Anthropic and Vertex AI generative-AI stacks.
• Direct experience mapping solutions to the EU AI Act risk framework.
• Fine-tuning, distillation, or model-optimization experience.
• Production experience with voice/multimodal AI (e.g., ElevenLabs) or AI-assisted engineering tooling (e.g., Cursor).
• Contributions to the open-source GenAI ecosystem.

Work conditions

• Flexible Work Format: Work remotely, allowing you to balance your professional and personal life efficiently.
• Training with Leading Cloud Products: Access in-depth training on cutting-edge cloud and AI solutions, enhancing your expertise and equipping you with the tools to succeed in an ever-evolving industry.
• International Collaboration: Work alongside A-players and seasoned professionals in the cloud industry.
• Global Exposure: Expand your expertise by engaging with international markets across the EMEA and CEE regions.
• Vibrant Team Environment: Be part of an innovative, dynamic team that fosters both personal and professional growth, creating opportunities for you to advance in your career.
  
  When applying to this position, you consent to the processing of your personal data by CLOUDFRESH for the purposes necessary to conduct the recruitment process, in accordance with Regulation (EU) 2016/679 of the European Parliament and of the Council of April 27, 2016 (GDPR).
  Additionally, you agree that CLOUDFRESH may process your personal data for future recruitment processes. You can withdraw this consent at any time.

About the Client

Our client is a leading global healthcare organization, driving innovation in pharmaceuticals, biotechnology, and patient-centric solutions.

We develop advanced data and analytics solutions that help global organizations turn complex data into intuitive digital tools, enabling teams to make informed decisions in their daily operations and long-term strategy. Our projects span modern operational applications, interactive dashboards, and advanced analytics platforms designed to deliver actionable insights across multiple business domains.
 

About the Role

We are seeking an experienced Business Analyst / Business Systems Analyst to support reporting and analytics initiatives within a global pharmaceutical organization.

The successful candidate will act as a bridge between business stakeholders and technical teams, helping transform business challenges into actionable reporting and analytics solutions. The role requires strong analytical thinking, experience gathering and documenting requirements, and a solid understanding of modern reporting platforms and data-driven decision-making.

The specialist will work closely with business users, Power BI developers, and data engineers to define requirements, design reporting solutions, validate concepts, and ensure delivered solutions address real business needs.
 

Key Responsibilities

• Collaborate closely with cross-functional teams, including business stakeholders, Power BI developers, and data engineers, to understand business objectives and identify opportunities for reporting, analytics, and process improvement.
• Conduct thorough requirements analysis for reporting and analytics initiatives, including gathering, documenting, and validating business and functional requirements to support solution design and development.
• Create and maintain comprehensive documentation, including user stories, functional specifications, business requirements, process flows, reporting requirements, and acceptance criteria.
• Define and document KPIs, metrics, business rules, data requirements, and reporting logic to ensure solutions effectively address business needs.
• Collaborate with Power BI and Foundry engineering teams to design and deliver reporting and analytics solutions that align with business objectives.
• Support solution validation and user acceptance testing (UAT), ensuring delivered reports, dashboards, and analytical solutions meet business requirements and provide meaningful insights to end users.
• Contribute to the continuous improvement of reporting, analytics, and decision-support capabilities across the organization.

Required Qualifications

• 4+ years of experience as a Business Analyst or Business Systems Analyst
• Experience working on reporting, analytics, BI, or data-focused projects
• Good understanding of Power BI capabilities and experience defining requirements for Power BI reporting and dashboard solutions.
• Strong requirements gathering and documentation skills
• Experience creating user stories, process flows, functional specifications, and acceptance criteria
• Strong analytical and problem-solving skills
• Ability to communicate effectively with both business and technical stakeholders
• Experience working in international and cross-functional environments

Nice to have

• Experience working with enterprise data platforms such as Palantir Foundry.
• Hands-on experience with Power BI report development, dashboard creation, or self-service analytics.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

We're looking for a Middle+ Data/Databricks Engineer to join our data team and take ownership of pipelines built on Databricks. You'll design and run production-grade ETL/ELT workloads, work with the lakehouse (Delta Lake) architecture, and partner closely with analysts, data scientists, and business stakeholders who rely on the data you deliver. "Middle+" here means roughly 3–5 years of hands-on data engineering experience: you can own a pipeline end to end with minimal supervision, make sound design decisions, and are starting to mentor more junior engineers — without yet carrying full architectural ownership of the platform.

Contract & Logistics

• Contract type: B2B (valid Czech IČO / trade license required).
• Location: Remote, candidate must be based in the Czech Republic; occasional visit to Prague office.
• Start date: ASAP
• English: Fluent 
• Czech: Native/Fluent 

What You'll Do

• Design, build, and maintain scalable ETL/ELT pipelines on Databricks using PySpark and SQL.
• Implement and evolve Delta Lake tables following a medallion (bronze/silver/gold) architecture.
• Develop batch and, where needed, streaming data processing jobs (Structured Streaming).
• Build and maintain CI/CD for Databricks notebooks and jobs (Databricks Asset Bundles, Repos, Git-based workflows).
• Orchestrate pipelines with Databricks Workflows, Azure Data Factory, Airflow, or similar tools.
• Monitor job performance and cluster costs; troubleshoot failures and optimize for reliability and spend.
• Implement data quality checks, testing, and monitoring for critical datasets.
• Collaborate with analysts, data scientists, and business stakeholders to translate requirements into data models.
• Participate in code reviews, document technical decisions, and help shape engineering best practices.
• Provide guidance and informal mentorship to junior team members.

What We're Looking For

• 3+ years of hands-on experience with Apache Spark, ideally on Databricks specifically.
• Strong PySpark and SQL skills, including performance tuning of Spark jobs.
• Practical experience with Delta Lake and lakehouse architecture concepts.
• Solid grasp of data modeling (dimensional modeling, star schema) and ETL/ELT design patterns.
• Experience with at least one major cloud platform — Azure, AWS, or GCP (Azure Databricks is a plus).
• Familiarity with pipeline orchestration tools (Databricks Workflows, ADF, Airflow, or equivalent).
• Working knowledge of Git and CI/CD practices for data engineering.
• Understanding of data governance, access control, and security basics (Unity Catalog is a plus).
• Good written and spoken English; Czech or Slovak is a plus but not required.
• Comfortable working independently and communicating clearly in a remote, distributed team.

Nice to Have

• Databricks certification (Data Engineer Associate or Professional).
• Experience with streaming technologies such as Kafka or Azure Event Hubs.
• Experience with dbt for transformation and testing.
• Solid Python software-engineering practices — testing, packaging, typing.
• Infrastructure-as-code experience (Terraform).
• Exposure to MLOps or ML pipeline support.
• Experience in a regulated or large enterprise data environment.

What We Offer

• Fully remote work with flexible hours, based anywhere in the Czech Republic.
• Long-term B2B cooperation with a stable pipeline of work.
• A modern, actively evolving data stack rather than legacy maintenance work.
• Direct collaboration with senior engineers and architects — real input on design decisions.
• Budget for training, certifications, and conference attendance.
• A flat structure with fast decision-making and minimal bureaucracy.

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.
We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.
Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.

Our client is a product-focused creative-tech company building advanced solutions for professional photographers and creators worldwide. Their platform automates and accelerates post-production by processing massive RAW images and videos and integrating with tools like Lightroom and Premiere.
The company is highly engineering-driven, solving complex challenges around media processing, performance, scalability, and UX. Engineers have a direct impact on a product that professionals rely on every day.

Key Requirements:
🔹 5+ years of experience as a Backend Engineer, with experience building platform services or shared infrastructure;
🔹 B.Sc in Computer Science, Software Engineering, or a related field from a well-known university;
🔹 Proven expertise in backend server development, using languages like Python, Scala, Go, or Java;
🔹 Solid understanding of system design principles, API architecture, and service-oriented architectures;
🔹 Experience integrating with cloud services (preferably AWS) as part of application development;
🔹 Excellent communication skills for collaborating across engineering, product, and operations teams;
🔹 Proactive mindset, having the will and ability to find areas where optimizations can benefit the entire org;
🔹 English – Upper-Intermediate or higher.

What you will do:
🔹 Drive platform-level initiatives that improve scalability, reliability, and developer experience across our backend systems;
🔹 Collaborate with multiple departments to support new platform features and technical initiatives;
🔹 Monitor platform health, investigating and resolving incidents and reliability issues;
🔹 Develop and optimize shared platform services, APIs, and infrastructure used across engineering teams;
🔹 Create internal tools and frameworks that improve developer productivity and system reliability;
🔹 Drive initiatives to improve observability, monitoring, and operational excellence across our infrastructure;

Interview stages:
🔹 HR Interview;
🔹 Intro interview with Engineering Lead;
🔹 1st Technical Interview;
🔹 2nd Technical Interview (optional);
🔹 HR Interview;
🔹 Reference check;

Why Join Us?

At YozmaTech, we’re self-starters who grow together. Every day, we tackle real challenges for real products – and have fun doing it. We work globally, think entrepreneurially, and support each other like family. We invest in your growth and care about your voice. With us, you’ll always know what you’re working on and why it matters.
From day one, you’ll get:
🔹 Direct access to clients and meaningful products;
🔹 Flexibility to work remotely or from our offices;
🔹 A-team colleagues and a zero-bureaucracy culture;
🔹 Opportunities to grow, lead, and make your mark.

After you apply

We’ll keep it respectful, clear, and personal from start to offer.
You’ll always know what project you’re joining – and how you can grow with us.

Everyone’s welcome

Diversity makes us better. We create a space where you can thrive as you are.

Ready to build something meaningful?

Let’s talk. Your next big adventure might just start here.

Meet the YozmaTech

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster. We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact. Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.

Our client is a CX AI platform that enables enterprises to deliver intelligent, automated, and personalized customer experiences across all digital channels. Powered by advanced AI, large language models, and real-time decisioning, the client transforms customer interactions into proactive, context-aware journeys-boosting efficiency, empowering agents, and driving measurable business outcomes at enterprise scale.
As a Data Engineer, you will play a key role in designing, building, and maintaining the data infrastructure that powers our products and drives business insights. This is an opportunity to join a fast-moving, innovation-driven team where your work will directly impact how we leverage data to serve global enterprises.

Key Requirements:
🔹4+ years of experience as a data engineer or similar role;
🔹2+ years of experience with Tablau;
🔹Expert-level proficiency in SQL (complex queries, performance tuning, database design);
🔹Strong proficiency in Python for data processing and automation;
🔹Solid understanding of data modeling, data warehousing concepts, and ETL/ELT methodologies;
🔹Strong problem-solving skills, attention to detail, and ability to work independently.
🔹English – Upper-Intermediate or higher.

Will be plus:
🔹Experience with cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery, or Snowflake);
🔹Familiarity with data orchestration tools (Airflow, dbt, Luigi, or similar);
🔹Background in working with large-scale datasets and big data technologies.

What you will do:
🔹Design, build, and maintain scalable data pipelines and ETL/ELT processes.
🔹Develop and optimize complex SQL queries, stored procedures, and database structures.
🔹Create and manage data models, data warehouses, and data lakes.
🔹Ensure data quality, integrity, and availability across systems.
🔹Collaborate with analytics, product, and engineering teams to support data-driven decisions.
🔹Monitor and troubleshoot data pipeline performance and reliability.
🔹Document data architecture, processes, and best practices.

Interview stages:
🔹 HR Interview;
🔹 Technical Interview;
​​​​​​​🔹 Technical Interview;
🔹 Reference Check;
🔹 Offer.

Why Join Us?

At YozmaTech, we’re self-starters who grow together. Every day, we tackle real challenges for real products – and have fun doing it. We work globally, think entrepreneurially, and support each other like family. We invest in your growth and care about your voice. With us, you’ll always know what you’re working on and why it matters.

From day one, you’ll get:
🔹 Direct access to clients and meaningful products;
🔹 Flexibility to work remotely or from our offices;
🔹 A-team colleagues and a zero-bureaucracy culture;
🔹 Opportunities to grow, lead, and make your mark.

After you apply

We’ll keep it respectful, clear, and personal from start to offer.
You’ll always know what project you’re joining – and how you can grow with us.

Everyone’s welcome

Diversity makes us better. We create a space where you can thrive as you are.

Ready to build something meaningful?

Let’s talk. Your next big adventure might just start here.

ORIL is seeking a skilled and proactive Senior BI/Data Engineer to design, scale, and maintain our mission-critical, AI-driven data platform. At the core of our engineering culture is a steadfast commitment to performance, reliability, clean data architecture, and uncompromising data integrity. The ideal candidate is an autonomous problem-solver who thrives in an agile environment, takes end-to-end ownership of data pipelines, and ensures robust, scalable deployments.
 

About the Project

Our client is a US-based innovator providing a centralized data platform for multi-family real estate. The product leverages BI analytics and AI to help operators optimize marketing spend and operational efficiency. The platform aggregates complex real estate datasets to feed real-time BI dashboards and power an intelligent Text-to-SQL analytics chatbot.
 

What are we looking for?

• 4+ years of experience building and maintaining production-grade data pipelines, backend data architectures, and BI systems;
• Strong expertise in Python and advanced SQL (complex queries, query optimization, indexing, and performance tuning);
• Proven experience with Data Modeling (Star/Snowflake schemas, relational databases, data warehousing concepts);
• Hands-on experience building and maintaining ETL/ELT pipelines;
• Strong experience with data cleaning, normalization, and aggregation to ensure accurate, consistent, and reliable data for both BI dashboards and AI applications;
• Experience working with relational databases and modern Data Warehouses;
• Experience with BI tools (e.g., PowerBI, Tableau, Metabase, or custom visualization solutions);
• Curiosity about multi-family real estate domain metrics (marketing spend, occupancy rates, operational efficiency, ROI) to better design analytical models;
• English level: Upper-Intermediate (B2+).
   

What will you do?

• Design, build, and optimize scalable ETL/ELT data pipelines to process real estate data from multiple sources;
• Architect and maintain clean, structured databases and data models optimized for fast querying, BI reporting, and AI/LLM integration (Text-to-SQL);
• Ensure data quality, consistency, and freshness across the entire platform through automated testing and monitoring;
• Collaborate with the AI/ML Engineer to prepare, expose, and optimize data schemas required for the intelligent chatbot and automated AI insights;
• Build and support analytical dashboards/reports that help business users derive actionable insights;
• Diagnose and resolve data bottlenecks, slow queries, and pipeline failures;
• Work closely with Product Managers and the engineering team to refine the data roadmap and ensure smooth data integration.
   

We Offer:

• Flexible engagement (Part-time or Full-time for 3+ months);
• Competitive compensation;
• Accounting support services;
• Flexibility to work from anywhere (fully remotely or in our office in Lviv);
• Comprehensive day-off policy, including public holidays and special events;
• Education & certification budget + corporate education events;
• Wellness budget;
• An agile environment and culture that promotes personal and team development.
   

Application Process:

1. Initial Screening: Call with Recruiter.
2. Technical Interview.
3. CI (Culture Index) Test.

Our client is a performance rights organization in the United States. It collects blanket license fees from businesses that use music, entitling those businesses to play or sync any songs from the client’s repertoire of over 22.4 million musical works. On a regular basis, the client distributes the money to songwriters, composers, and music publishers as royalties to those members whose works have been performed.

Requirements:

• Databricks Expertise: Minimum of 3+ years of proven, previous Databricks administration experience in a complex, multi-tenant enterprise environment.
• Advanced Terraform: Strong Terraform skills. You must have hands-on experience building and maintaining reusable modules specifically utilizing the Databricks Terraform Provider.
• Strong understanding of cloud-native IaC (Infrastructure as Code) like Terraform for automating instance provisioning
• Cloud IAM Mastery: Deep, practical knowledge of Cloud Identity and Access Management (IAM), including writing secure IAM policies, managing roles, cross-account access, and secrets management.
• Robust cloud networking experience
• Scripting: Proficiency in Bash

Job responsibilities:

• Environment Ownership: Own the technical implementation of all Databricks environment configuration changes across multi-workspace environments.
• Platform Lifecycle: Manage Databricks runtimes, cluster policies, and coordinate seamless platform upgrades.
• Infrastructure as Code (IaC): Utilize strong Terraform skills to programmatically provision, update, and manage all Databricks resources (workspaces, clusters, tokens, policies) and cloud infrastructure, eliminating manual configurations.
• Cloud Security & Identity (IAM): Architect and enforce secure access models. Manage Cloud Identity and Access Management (IAM) integrations for users, groups, and service principals.
• Secure Cloud Networking: Design, implement, and maintain secure cloud networking architectures for Databricks.
• Cost Optimization: Actively review current environment setups—including cluster configurations, instance types, and data storage parameters—to identify and execute cost-optimization opportunities.
• Efficiency Strategies: Provide expert input on automation, auto-scaling, and monitoring strategies to drastically reduce ongoing compute and storage costs.

Remote – Full-time – Flexible Hours - Shifted schedule to EST (New York) timezone

About TenViz

TenViz Predictive Analytics builds AI-powered solutions that help Fortune 100 investors anticipate market shifts before they become consensus. We combine financial expertise, mathematical rigor, and AI research to deliver predictive analytics for institutional investors.

Your Expertise

• Strong interest in quantitative and algorithmic approaches
• BSc/MSc in Math, Physics or related field with solid background in statistics, linear algebra and probability theory
• Advanced Linear Algebra, Advanced Statistics, Using Linear Algebra methods in Statistical analysis
• 2+ years in data research, quantitative modeling, ML prototyping, and backtesting
• Skilled in Python, SQL, Git
• Experience with  experiment tracking, pipeline orchestration and workflow automation

Nice to have:

• Bayesian inference, reinforcement learning, or ensemble methods
• Financial econometrics, time-series forecasting, or regime modeling

What You’ll Do

• Design predictive models using probabilistic, ML, and hybrid approaches
• Analyze large-scale financial datasets to detect hidden patterns and early regime shifts
• Prototype and evaluate algorithms, from deep learning to Bayesian models
• Write production-grade research code in Python/SQL that integrates into pipelines
• Translate results into insights and themes investors can act on — not just outputs

Example projects:

• Forecasting inflation via commodity price signals
• Constructing probabilistic forecasts of currency moves around macroeconomic announcements
• Designing a Bayesian model to estimate recession probabilities from yield curve dynamics
• Designing a regime-aware ML pipeline that switches models depending on market conditions
• Creating hybrid ensembles that outperform traditional benchmarks

What’s in It for You

• Remote-first, flexible hours
• Paid vacation & holidays (after 8 months)
• Continuous learning: advanced ML/DL workshops, probabilistic methods, optimization
• Supportive, collaborative team — no micromanagement, focus on trust and creativity
• Work on real financial problems where your models influence billion-dollar decisions

We are looking for an AI Integration Engineer (Python) to join our client's team on a UK insurtech project. 

Responsibilities: 

• Configure and deploy product journeys on the platform for each carrier or MGA partner 
• Build and maintain integrations with policy admin systems, quoting engines, and data feeds 
• Own data mapping and schema translation between the platform's data model and each insurer's existing architecture 
• Spot recurring patterns across deployments and turn them into platform improvements 
• Conduct technical scoping for new insurer partnerships, defining feasibility and required effort 

• Help define what a genuinely good AI insurance journey looks like in production 

   

Requirements: 

• At least 4+ years of hands-on experience with API integration and data mapping — real integration work 
• Strong Python experience, with a solid API/integration background 
• Insurance, insurtech, or closely adjacent background — a real understanding of how carriers, MGAs, and intermediaries operate 
• Day-one fluency with agentic tooling such as Claude Code, LangGraph/LangChain, or equivalent — not necessarily building pipelines from scratch, but able to hit the ground running 
• Comfortable being client-facing — equally at ease in a carrier meeting and in a terminal, sometimes in the same afternoon 
• A proactive mindset: someone who gets frustrated when a platform limits what they can deliver for a customer, and takes action to fix it 
• Upper-Intermediate English or higher 

We Offer:   

• Innovation Culture: Work in a team that actively experiments with AI and modern development approaches   
• Real Product Impact: Direct collaboration with a client and influence on product decisions   
• Flexible Work: Remote work or a modern office in Kyiv   
• Generous Time Off: 20 paid vacation days + 15 sick leave days annually   
• Professional Growth: Compensation for courses, certifications, and learning resources   
• Cutting-Edge Tools: Access to premium AI tools (Cursor Pro, Сlaude Code, GitHub Copilot, etc.)  

Recruitment Process:   

1. HR Interview   
2. Technical&Final Interview  
3. Client Stage 
4. Job Offer 

Key Responsibilities:

• Architecture & Design: Lead the architecture and design of high-performance, scalable, and fault-tolerant Node.js applications, microservices, Big Data processing systems, and data pipelines running in a cloud environment (primarily AWS).
• Cloud Infrastructure: Utilize AWS services such as EC2, Lambda, RDS, S3, Kafka/MSK, SQS, and others to ensure that applications and data platforms are highly available, secure, and performant.
• Microservices & Event-Driven Systems: Build and manage distributed, high-load microservices and event-driven architectures that can scale effectively and handle large volumes of concurrent traffic and data.
• Data Infrastructure: Design and develop integrations and Big Data processing pipelines that ingest, transform, and distribute large volumes of data across operational and analytical systems.
• High-Performance Systems: Optimize Node.js applications and data processing workloads for performance under high load, ensuring minimal latency and maximum throughput.
• Multithreading: Implement advanced multithreading techniques to enhance system performance and concurrency.
• Code Quality & Best Practices: Write clean, maintainable, and efficient code while adhering to industry best practices and design patterns.

Part of the role will include integration with multiple external APIs, processing large volumes of data, and compiling it in a flexible way to accommodate various operational and analytical requirements.

Requirements

• At least 5 years of experience as a Backend Developer.
• In-depth knowledge and experience developing APIs, microservices, and distributed systems.
• Experience working with modern data platforms and storage solutions such as Snowflake, ClickHouse, or equivalent.
•  Experience working with event streaming and queuing solutions such as Kafka, RabbitMQ, SQS, or equivalent.
• Strong proficiency with JavaScript, and knowledge of Node.js and frameworks available for it (such as Express or equivalent).
•  Understanding the nature of asynchronous programming and its quirks and workarounds.
•  Understanding fundamental design principles behind a scalable application.
•  Experience designing and implementing data ingestion, transformation, and processing workflows.
•  Implementing automated testing modules and unit tests.
•  Proficient understanding of code versioning tools, such as Git.
•  Experience with cloud services such as AWS and GCP.
•  Experience working with Linux.
• Experience with CI/CD processes