Jobs Data & Analytics

About the Role:

We are looking for an experienced Senior Data Engineer to join our team and help build scalable, secure, and high-performance data platforms. In this role, you will work closely with Data Architects, Engineers, Analysts, DevOps specialists, and Data Scientists to design, develop, and optimize modern cloud-based data ecosystems.

This is a full-time remote position for a senior-level professional who can commit 40 hours per week and take ownership of complex data engineering initiatives.

Responsibilities:

As a Senior Data Engineer, you will:

* Collaborate with Data Architects on designing and implementing data solutions across Azure, AWS, or IBM Cloud environments

* Build, maintain, and optimize modern data ecosystems and data pipelines

* Develop and support data ingestion, transformation, and processing solutions

* Work closely with cross-functional teams, including Data Engineers, Analysts, DevOps Engineers, and Data Scientists

* Implement security best practices to ensure the reliability and protection of cloud infrastructure and data processes

* Apply modern engineering principles and methodologies to support business growth and innovation

* Identify opportunities to improve data quality, reliability, scalability, efficiency, and overall platform performance

* Optimize data solutions to balance performance, maintainability, and cost-effectiveness

* Design and execute unit, system, and integration testing strategies

* Contribute to continuous improvement initiatives and engineering best practices

Requirements:

* Strong commercial experience as a Data Engineer

* Advanced proficiency in Python for data processing, transformation, and analysis

* Strong expertise in SQL, including query optimization and database performance tuning

* Hands-on experience with Azure and/or AWS data platforms and services

* Experience designing and maintaining scalable cloud-based data solutions

* Solid understanding of data engineering best practices, data modeling, and ETL/ELT processes

* Experience with software development lifecycle methodologies and Agile environments

Nice to Have:

* Experience with IBM Cloud data services

* Knowledge of data governance and cloud security practices

* Experience working in enterprise-scale data environments

What We Offer:

-Paid vacation and sick leave

-We provide the equipment you need to work comfortably (if required)

-We cover 50% of courses if you want to grow professionally

-Regular salary reviews based on your performance

-Competitive salary, depending on your experience

-Always on-time payments — no delays

-A normal, supportive team without unnecessary bureaucracy

Workload — Full-time
Duration — Long-term
Location — Poland only

We are looking for a Business and Systems Analyst with Italian to join a team delivering projects for a large international organisation in the financial sector. 

The project focuses on developing and optimising processes and systems used in the Italian market. The person in this role will work closely with business representatives, IT teams, and client-side stakeholders. 

Their responsibilities will include analysing requirements and processes, identifying dependencies between systems, and validating proposed solutions. 

This is a stable, long-term project delivered in an international environment and supporting the client’s ongoing business process and systems transformation.

Responsibilities Gathering, analysing, and managing functional and non-functional requirements. Working with business stakeholders from the Italian market Identifying and analysing touchpoints between processes, applications, and systems.

 Modelling business processes and system solutions using BPMN and UML. Preparing analytical documentation, functional specifications, diagrams, and models. Validating solution concepts in cooperation with architects, developers, and business owners. Preparing test scenarios and supporting business and system testing.

Analysing system integrations and data flows between systems. Working with project teams operating in Agile environments Ensuring consistency across requirements, processes, and project documentation.

Requirements:

Experience as a Business and Systems Analyst Experience managing functional and non-functional requirements Ability to prepare test scenarios.

Very good knowledge of BPMN and UML.

Experience working in Agile environments Practical knowledge of Jira and Confluence Experience with tools such as Camunda, Enterprise Architect, or similar Ability to work independently, a proactive approach, and excellent communication skills English at a minimum B2 level Italian at a minimum B2 level — mandatory 

Nice to Have:

Experience working on projects for banks, financial institutions, lending companies, or other organisations in the financial sector. Knowledge of financial, payment, lending, or receivables management processes. Knowledge of the WEBCON BPS platform. Experience analysing system integrations and end-to-end processes. Experience working in an international environment.

We're looking for an Analytics Lead who can bring structure, reliability, and scalability to how we work with data. You'll work across multiple departments, improve our analytics infrastructure, and help build systems that support smarter decisions every day. If your instinct isn't "we should just use Tableau/Power BI," this is probably the role for you 🚀🏆

YOUR QUEST-LINE:

• Own the day-to-day operations of our internal analytics platform;
• Manage small analytics team: run regular 1:1s, performance reviews, distribute tasks based on priorities, and help the team navigate cross-team collaboration smoothly;
• Stay hands-on with data engineering: review pipelines, drive adoption of incremental data refresh, and push toward near-real-time updates for our key tables;
• Design and maintain a data architecture that balances speed and depth: fast, aggregated reporting alongside detailed, granular data for deeper analysis;
• Drive product analytics: user segmentation, retention/engagement patterns, and push hypothesis-driven research instead of purely status-check dashboards;
• Grow our AI-powered analytics platform, from automated reporting to a future conversational data interface;
• Collaborate with the product, development, finance, anti-fraud, support, and marketing teams to ensure their dashboards remain up-to-date and their decisions are data-driven.

👩‍🚀 YOUR IN-GAME SKIN:

• 5+ years of experience in analytics roles within product tech companies;
• 2+ years of experience managing an analytics team while staying hands-on;
• Strong SQL and solid Python, enough to read and write pipeline logic;
• Real understanding of data engineering fundamentals (ETL/ELT, BigQuery, bronze/silver/gold layering);
• Genuine enthusiasm and hands-on experience with AI-assisted workflows;
• Comfortable working autonomously, turning loose business goals into a concrete backlog of boards, metrics, and experiments;
• Understanding of analytics infrastructure, event tracking, and data consistency principles;
• Experience partnering closely with engineering and product teams on analytics implementation;
• Ability to structure ambiguous requests into clear analytical solutions and priorities;
• Strong communication skills and ability to work cross-functionally with different departments;
• At least an intermediate level of English.

🚀 WILL BE YOUR BOOST:

• Familiarity with the Steam trading ecosystem or skins markets (CS2, Dota2, Rust);
• Domain experience in high-load e-commerce, Fintech, or iGaming projects.

🥷 YOUR POWER-UPS SOURCE:

• Spontaneous weekend from the CEO;
• Support for professional development, including events (we went on a MAJOR trip to Copenhagen, for example), certifications, and educational materials;
• Start working at a time that’s comfortable for you;
• People Partner who will always support you in word and deed;
• Anniversary and performance bonuses;
• Input on project direction in a bureaucracy-free environment;
• Regular performance reviews and personal feedback sessions;
• 20 paid vacation days and 7 sick leave days;
• Assisting with the accounting and tax management for individual entrepreneurs;
• English language and Well-being benefit — so that you can improve your mental health the way you want;
• No time tracking;
• We purchase CHARGING STATIONS for our spacers;
• We help Ukraine: every month the company supports AFU and transfers donations for ammunition and supplies.

If you read everything carefully and exclaimed: “Oh, yeah, I’m good at everything and I want to do cool things together!”, then we are already looking forward to your resume!

Send them as soon as possible! 🚀

ZentixSoft is looking for a Senior AWS Cloud Data Engineer (Financial Ecosystems) ☁️📊

We are significantly expanding our data engineering and analytics direction for our strategic international partners and are looking for a highly mature Senior Data Engineer to drive cloud-native banking data products.
 

Note: This is an Outstaffing role where you will join a high-impact core data team. 

⚠️ A Quick Note for Applicants: To move forward swiftly, your CV must clearly highlight your hands-on architecture decisions, specific AWS technologies used, data volumes, and the precise banking data products you have delivered.

💡 Why ZentixSoft? 
💸 Salary Review: A structured system of compensation reviews aligned with your expertise and engineering growth. 
🦾 Trust and Transparency: Zero micromanagement and no invasive time-trackers—we fully trust your professional autonomy. 🎁 Gifts & Culture: Corporate gifts for holidays, birthdays, and a true team atmosphere where your voice always matters.
 

If you are ready to architect resilient data solutions for a massive financial ecosystem, here is what our perfect match looks like:

1️⃣ Engineering Seniority: A proven track record of designing, building, and operating large-scale data platforms specifically within the AWS cloud environment. 
2️⃣ FinTech & Banking Domain: Solid experience handling sensitive financial data products (focused on areas like Risk, Compliance, Fraud Prevention, Finance, or Regulatory Reporting). 
3️⃣ Governance Mastery: Deep understanding of banking infrastructure needs, including strict data lineage, quality validation, auditability, and data security. 
4️⃣ Independence: Ability to make standalone architectural and technical design choices, turning raw business requirements into robust, high-volume production pipelines. 
5️⃣ Communication: Fluent English combined with strong stakeholder management skills to align easily with business, tech, and compliance teams.
 

Project Details: 
📍 Location: Primarily remote, with a preference for candidates located in the Baltics (or other EU countries). 
✈️ Work Model: Occasional onsite visits to client offices in the Baltics (approx. once per month for 2–3 days). 
⏳ Duration: Long-term cooperation. 
🚀 Start: ASAP.

We are looking for an AI Product Engineer who can turn business problems into working digital solutions using modern AI tools, LLMs, automation platforms, and AI-assisted development workflows.

This is not a traditional Backend, Frontend, or Machine Learning Engineer position.

The role is designed for a technical AI generalist who can quickly understand a business need, validate an idea, build a functional prototype or MVP, and collaborate with specialized engineers and designers to bring the solution to production quality.

What you will do

• Analyze business processes and identify opportunities for AI automation and optimization.
• Turn business requirements into functional prototypes, MVPs, and internal tools.
• Build AI-powered web applications, dashboards, workflows, integrations, and product features.
• Use AI-assisted development tools such as Claude Code, Cursor, Codex, OpenAI, Anthropic, and similar platforms.
• Design and implement solutions using LLM APIs, AI agents, automation tools, and third-party services.
• Build end-to-end proof-of-concept solutions across different technologies when needed.
• Evaluate whether a task should be solved with custom development, AI agents, automation platforms, or a combination of approaches.
• Optimize prompts, context usage, token consumption, model selection, and AI-related costs.
• Test hypotheses quickly and validate whether a solution creates real business value.
• Prepare prototypes for further review and refinement by specialized developers, designers, or other domain experts.
• Document solution logic, limitations, risks, and recommendations for further development.

• Collaborate closely with product managers, engineers, designers, and company leadership.

   

What this role is about

The main goal of this position is not to develop one narrow technical area in depth.

The goal is to use AI as a force multiplier to:

• reduce development time;
• automate repetitive work;
• lower operational costs;
• validate product ideas faster;
• create tools that improve business performance;
• build functional solutions before involving a full specialized team.

You should be comfortable moving between different types of tasks and technologies. One project may involve an internal HR automation tool, another may be a sales workflow, an AI assistant, a web platform, or a mobile application prototype.

You are not expected to replace senior specialists in every area. You are expected to build a strong functional foundation that can later be reviewed, improved, and productionized by domain experts.

Requirements

• Strong technical foundation in software development, computer science, or a related field.
• Commercial software development experience with Python, JavaScript, TypeScript, or similar technologies.
• Practical experience building complete applications, prototypes, integrations, or automation solutions.
• Confident use of AI coding tools in real development workflows.
• Hands-on experience with OpenAI, Anthropic, Gemini, or other LLM APIs.
• Understanding of prompt engineering, context management, token usage, and model limitations.
• Experience designing AI agent or multi-step automation workflows.
• Ability to translate an unclear business problem into a structured technical solution.
• Ability to work across unfamiliar technologies and quickly learn new tools.
• Understanding of APIs, databases, authentication, integrations, and basic system architecture.
• Strong problem-solving skills and a product-oriented mindset.
• Ability to balance development speed with code quality, security, and maintainability.

• English level sufficient for working with technical documentation and participating in project communication.

   

Nice to have

• Experience with RAG systems, embeddings, vector databases, and document processing.
• Experience building AI agents and multi-agent systems.
• Experience with n8n, Make, Zapier, or other workflow automation tools.
• Startup, product discovery, hackathon, or MVP development experience.
• Experience working directly with business stakeholders or clients.
• Understanding of AI solution economics, including token costs, infrastructure costs, and expected business value.

The most important criterion is not the number of AI tools listed in your CV. We are looking for someone who can demonstrate how AI helped them deliver useful, functional solutions significantly faster and create measurable value for a business

Are you a Data Scientist with a love of LLMs, generative AI?

We are looking for a passionate Data Scientist to implement AI solutions aimed at achieving business goals.

This role offers the opportunity to work on cutting-edge AI adoption projects that helps to improve current business processes.

You'll be a great fit if you have:
• Strong Python Experience (1 year +);
• Experience with LLM , Diffusion models (1 year +);
• Knowledge of Prompt engineering;
• Experience with Gen AI-related technologies such as LangChain and RAG;
• Experience with Neural Networks (Optional) ;
• Experience with NLP , Predictive analytics and Machine learning;
• Experience with Pandas;
• Experience with SQL, including experience with large datasets;
• Strong experience in statistics;
• Bachelor's degree in Computer Science or a related field.

What you'll do:
• Develop AI agents that utilize LLM, RAG and langchain approach;
• Implement LLM and Diffusion models to boost business productivity;
• Utilize LLM (LLM Vision) to improve object detection, text classification and extraction;
• Create forecasting, recommendation, and classification models;
• Transform business challenges to AI applications;

We ensure your growth with:

• Competitive salary fixed in USD;

• Flexible working schedule and fully remote work format;

• Paid vacation days and sick leave days;

• Personal and professional development opportunities;

• Participation in building innovative projects from scratch using modern technologies;

• Team-building activities and corporate events;

• English classes and educational events.

Strong preference for experience in Commercial Real Estate, Architecture, Development, and Branding.

We’re looking for a Senior Generative AI Visual Designer who combines strong design taste with real, hands-on experience in AI image and video production.

This is not a Prompt Engineer position.

You need to know how to prompt, but more importantly, you need to know how to control AI, build reliable workflows, work within detailed guidelines, and get to a polished final product.

A large part of this role will focus on commercial real estate and architecture. You’ll work with property photography, drone and aerial imagery, architectural concepts, site plans, renderings, brand standards, and project-specific requirements.

We need someone who can use AI without letting AI take over the work.

If a building needs to stay the same, it stays the same. If the parking lot, roads, signage, property layout, or surrounding area cannot change, you need to know how to control for that.

At the same time, we want someone with a strong creative point of view. The goal is not just accuracy. The work needs to look great.

What You’ll Do

• Create high-end visual work across commercial real estate, architecture, branding, digital, social, advertising, web, presentations, and marketing campaigns.
• Generate and manipulate photorealistic architectural and commercial real estate imagery using AI.
• Work with real drone and aerial photography, including enhancing existing drone images and creating realistic aerial property visuals.
• Take existing property photography, renderings, site information, and reference imagery and turn them into polished marketing assets.
• Create AI-generated and AI-assisted video using property imagery, architectural concepts, still images, and other source material.
• Create controlled camera movement, environmental motion, transitions, and other effects while keeping buildings and important property details consistent.
• Build repeatable AI workflows instead of relying on one-off prompts and endless trial and error.
• Take company handbooks, client brand guidelines, property requirements, and project rules and translate them into workflows that AI can consistently follow.
• Catch and correct AI mistakes, hallucinations, distortions, and inconsistencies before anything goes out the door.
• Know when prompting is enough and when you need to use masks, reference images, image-to-image workflows, compositing, Photoshop, 3D tools, or another approach to get the right result.
• Switch between client brands while maintaining each brand’s individual look and feel.
• Design ad creative for Meta, LinkedIn, Google, and other digital channels.
• Design lead-generation assets including ebooks, guides, one-pagers, reports, and presentations.
• Create pitch decks and other presentation materials that feel polished and considered.
• Source, generate, and art-direct imagery that feels editorial and specific rather than generic stock.
• Deliver organized, production-ready files and hit deadlines consistently.

AI Image and Video

You should be very comfortable working with modern AI image and video tools.

Advanced Runway experience is strongly preferred.

Experience with tools and workflows such as FLUX, Stable Diffusion, ComfyUI, Midjourney, Adobe Firefly, Generative Fill, or similar platforms is a plus.

For video, you should understand image-to-video workflows, camera movement, motion control, scene consistency, architectural consistency, transitions, scene extension, and how to turn still property imagery into believable motion.

We’re not tied to one AI platform. Tools change quickly.

What matters is that you understand how to get the result, how to control the process, and how to know when the output is wrong.

Real Estate and Architecture

Experience in commercial real estate, architecture, architectural visualization, real estate development, or property marketing is a major plus.

You should be able to look at a generated image and immediately notice when something is off.

That could be a changed roofline, an extra entrance, incorrect signage, a distorted parking lot, a road that moved, bad perspective, unrealistic landscaping, or a neighboring building that AI decided to invent.

You need to understand what can be creatively changed and what needs to stay accurate.

This is especially important when working with drone and aerial imagery.

Working Within Rules

A big part of this job is getting AI to follow instructions consistently.

You may be given detailed company handbooks, brand standards, property-specific requirements, and project rules.

We don’t want someone who simply uploads those instructions, writes a long prompt, and hopes the AI follows them.

You should know how to break requirements into clear rules, build them into your workflow, use the right references and controls, check the output, and correct anything that does not comply.

The process should be repeatable.
 

Qualifications

• 5+ years of professional experience in graphic design, visual design, architectural visualization, real estate marketing, 3D visualization, motion design, digital imaging, or a related field.
• Strong portfolio showing excellent design taste, craft, and attention to detail.
• Professional experience using generative AI for image production.
• Experience creating AI-generated or AI-assisted video.
• Advanced Runway experience strongly preferred.
• Strong Photoshop skills.
• Strong working knowledge of Figma and Adobe Illustrator.
• Experience with After Effects, Premiere Pro, DaVinci Resolve, Blender, Cinema 4D, 3ds Max, Unreal Engine, SketchUp, Rhino, or similar tools is a plus.
• Strong understanding of typography, composition, hierarchy, photography, art direction, and brand systems.
• Experience designing for paid social and digital advertising.
• Comfortable moving between traditional design, AI generation, compositing, image manipulation, and video.
• Able to manage multiple brands without making them all look the same.
• Detail-oriented and able to QA your own work before delivery.
• Able to work independently, manage your own schedule, and reliably meet deadlines in an async environment.
• Degree in Graphic Design, Architecture, Visual Communication, Motion Design, or a related field preferred, or equivalent professional experience.
   

What We Want to See

Please send a portfolio that shows more than a collection of AI-generated images.

We want to see finished work and understand what you actually contributed to it.

We’re especially interested in:

• Commercial real estate or architectural work
• Drone and aerial property imagery
• AI-generated and AI-assisted images
• AI-generated video
• Before-and-after examples
• Original source imagery alongside the finished result
• Examples where you had to maintain the structure or accuracy of the original subject
• Strong Photoshop and compositing work
• Branding and campaign work
• Projects where AI was one part of a larger creative workflow
   

The Person We’re Looking For

You’re probably a good fit if you’re the person who catches the details other people miss.

You notice when AI moved a window.

You notice when a parking lot changed.

You notice when a road suddenly goes somewhere it shouldn’t.

You notice when the architecture changes halfway through a video.

You notice when something looks impressive at first glance but falls apart when you actually look at it.

And most importantly, you know how to fix it.

We want someone with the eye of a senior designer who also knows how to push AI tools hard without letting the tools dictate the final result.
 

AI is part of your toolkit. It isn’t your entire skill set.

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

About the Product:

This is a hyper-scale fintech platform trusted by over 40 million users worldwide, offering access to multi-asset trading – including stocks, indices, currencies, and digital assets.

The product operates as a regulated, data-intensive financial ecosystem, processing massive volumes of transactions and real-time customer interactions daily. It’s well-funded, profitable, and known for pushing innovation in AI, automation, and data governance across its operations. Advertising presence is strong (especially in the UK), but behind the scenes is a serious engineering culture solving hard, real-world problems at scale.

About the Role:

We are looking for an Applied AI Engineer (Squad Lead) to join a fast-paced, AI-first environment where AI is already a core part of how the company operates. This is not a role where you’ll be adding an AI feature to an existing product or experimenting with isolated prototypes. You’ll take real business challenges, work directly with stakeholders to understand what needs to change, and turn those problems into production-grade AI agents and applications — end to end, from idea and POC to deployment and continuous improvement.

This is a deeply hands-on role with significant autonomy and ownership. You’ll work with modern GenAI and agentic technologies, use AI-native development workflows daily, and see the impact of your solutions quickly. As the squad grows, you’ll also guide other engineers while remaining hands-on.

Key Responsibilities:

• Design, build, and deploy AI-powered agents and applications from concept through production.
• Develop and maintain AI pipelines for data ingestion, embeddings, retrieval, and LLM orchestration.
• Write high-quality backend and frontend code to embed AI into user-facing tools and internal platforms.
• Build APIs and integrations with internal systems (CRM, databases, third-party services) for seamless automation and data flow.
• Work with structured, unstructured, and vectorized data to support intelligent workflows and decision-making.
• Continuously monitor, evaluate, and iterate to improve system performance, reliability, and cost efficiency.
• Design and implement scalable, secure, observable, cloud-based solutions.
• Own production systems, including debugging, enhancements, and ongoing optimization.
• Collaborate closely with product and business stakeholders to translate requirements into high-impact solutions.

Required Competence and Skills:

• 6+ years of software engineering experience (backend or full-stack).
• Proven daily use of AI-native development workflows (e.g., Cursor, Claude Code) for production systems.
• Hands-on experience building production AI agents, including RAG, multi-agent orchestration, tool-calling, structured outputs/validation, memory, and workflow management.
• Track record of deploying LLM-powered systems in production.
• Strong backend and modern frontend development skills for complex workflows.
• Experience with cloud services (Azure, AWS, or GCP) and designing scalable architectures.
• Familiarity with vector databases and embedding pipelines.
• Deep understanding of system design, scalability, observability, and security best practices.
• Experience leading small development teams or owning a technical domain.
• Excellent communication, stakeholder management, and problem-solving skills.
• Fluent written and verbal English.

Nice to Have:

• Experience with GenAI frameworks such as LangChain, LangGraph, LangSmith, Semantic Kernel, or equivalent.
• Experience building AI systems in regulated or compliance-driven environments.
• Background working with internal teams and platforms (e.g., customer service, retention, operations, compliance).
• Strong understanding of business process automation and operational intelligence.
• Familiarity with event-driven architectures and distributed systems.
• Experience implementing AI evaluation frameworks and automated testing for LLM systems.

Why Us:

We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

We provide full accounting and legal support in all countries we operate.

We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

We offer a highly competitive package with yearly performance and compensation reviews.

About the Client:

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role:

We are looking for a Middle-level Software Engineer to work on the core query engine of a large-scale distributed data platform. You will develop features across query planning, optimization, and execution, contribute to performance-critical components, and help evolve the platform's ability to process massive analytical workloads across heterogeneous data sources.

This is a systems-level, backend engineering role focused on distributed data processing internals — not application development or CRUD services.

Responsibilities:

• Develop and maintain features across the query engine — planning, optimization, execution, and data access layers.
• Write high-quality, performance-conscious code in Java and/or C++.
• Work with SQL semantics, query plans, and execution operators over large-scale distributed data.
• Integrate with columnar formats, open table formats, and connectivity drivers used across the platform.
• Contribute to CI/CD pipelines and automated testing — participate in build, test, and release workflows in Jenkins.
• Deploy and validate work in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker.
• Debug complex issues spanning query planning, distributed execution, memory management, and I/O.
• Collaborate closely with US-based engineering teams on design reviews, code reviews, and technical decisions.

Required Qualifications:

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Java or C++, with solid OOP and software design fundamentals. Candidates comfortable with both are especially valued.
• SQL & Data: Strong SQL skills and solid understanding of relational and analytical data systems, including query execution concepts.
• Data processing systems experience: Hands-on experience with data processing systems — query engines, distributed databases, ETL/ELT frameworks, or analytical platforms.
• Engineering experience: 3+ years in backend/systems software engineering.
• CI/CD & DevOps basics: Practical experience with Jenkins pipelines and modern development workflows.
• Containers: Working knowledge of Docker and basic Kubernetes (running workloads, debugging pods, kubectl fluency).
• Cloud: Comfortable operating in at least one major cloud (GCP, AWS, or Azure).
• Version Control: Confident with Git / GitHub workflows.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.

Desired Skills:

• Experience with Apache Arrow (columnar in-memory format).
• Familiarity with Apache Calcite (SQL parsing, planning, optimization framework).
• Exposure to Gandiva or LLVM-based expression compilation.
• Experience with open table formats — Apache Iceberg, Delta Lake, or Hudi.
• Familiarity with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Understanding of query planning, optimization, and execution internals.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Experience with performance profiling and optimization of latency-sensitive systems.

We’re expanding our automation team—and we’re looking for someone who loves building AI agents, not just “plugging ChatGPT into everything.” If you’re interested in more than just writing prompts—if you want to create systems that make their own decisions, handle errors, and run in production without constant supervision—read on 👇

Who We Are

Our team automates routine business processes using AI agents: alerts, mailings, reminders, and other tasks that used to be handled manually. We currently have three specialists on the team, and we’re growing. We work on a wide range of projects—from small integrations between departments to large-scale initiatives with a real impact on the business.

What we expect from you during our collaboration: 

• Development and implementation of multi-agent systems
• Build and maintain custom integrations via APIs
• Set up and optimize data workflows: webhooks, JSON/XML parsing, Salesforce automation, Google Sheets, and Slack, TG notifications.
• Develop effective AI prompts to integrate large language models (LLMs) into business operations
• Development of Retrieval-Augmented Generation (RAG) models
• Monitor automation processes, resolve incidents promptly, and drive ongoing improvements
• Research of new tools, libraries and practices in the field of AI
  
   

This role is a great fit if you: 

• 1-3 years of experience with no-code/low-code automation, n8n as primary tool (Zapier/Make — a plus)
• Practical experience building at least one agent-based workflow (not a linear automation)
• Practical experience with REST APIs, OAuth2, webhooks
• Python or JavaScript — ability to write custom scripts/nodes for integrations
• Relational databases (SQL) — storing state, logs, scraping results
• Experience integrating at least one LLM provider (OpenAI/Claude/Ollama) into a production workflow
• Prompt engineering — writing and optimizing prompts
  
  The following would be a plus: 
• Experience with web scraping (Playwright, Scrapy, Selenium, or similar)
• Familiarity with agent frameworks (LangChain, LangGraph)
• Understanding of how queues and schedulers work (cron, SQS, or similar)
• Experience in the iGambling industry
• Basic knowledge of DevOps: CI/CD, monitoring
  
  What we offer:
• 24 days of vacation + days off
• Remote work — choose any corner of the world to “be with us”
• Support for your learning and professional development through external courses and educational activities (conferences, webinars, etc.)
• Benefit Café: reimbursement for sports activities, English language courses, and mental health support
• Health insurance
• Financial support during difficult life situations—we understand that this is an extremely challenging time for every Ukrainian, so we’re here for you not only on the “good days” but also on the “tough ones.”
• Employee referral program. The opportunity to directly influence business development and hiring strategy at a rapidly growing international company.

Hiring process: Recruiter interview → Interview with Hiring Manager → Reference check → Job Offer.

💌 It takes 7 days to review your resume.
If you haven’t heard back from a recruiter, it means your experience doesn’t currently match the requirements for this role—we’d be happy to stay in touch about other job openings!

🚀 AI Automations Engineer / Architect (Make.com, n8n)

Ми шукаємо AI Automations Engineer / Architect, який буде проєктувати та створювати автоматизації, внутрішні інструменти й системи для підвищення швидкості, ефективності та масштабованості бізнес-процесів.

Це не просто робота з готовими сценаріями в Make.com або n8n. Нам потрібна людина, яка вміє аналізувати процеси, знаходити bottlenecks, продумувати архітектуру рішення та визначати, коли достатньо automation platform, а коли потрібен custom code або окремий application.

Що потрібно буде робити

• Створювати automation workflows з нуля у Make.com, n8n та за допомогою custom code
• Інтегрувати HubSpot, Slack, Gmail, Google Sheets, forms, scheduling tools, databases та інші платформи
• Будувати складні workflows з filters, routers, conditions, error handling та fallback paths
• Створювати AI-powered workflows з використанням OpenAI для summarization, classification, drafting, enrichment та internal support tasks
• Перетворювати manual SOPs та operational processes у масштабовані автоматизовані системи
• Створювати та підтримувати internal tools і web applications, коли Make.com або n8n недостатньо
• Працювати з існуючими Next.js applications, покращувати, дебажити та розширювати їх
• Підключати applications до сторонніх сервісів через REST APIs та webhooks
• Тестувати, troubleshoot та оптимізувати workflows і applications
• Документувати створені системи для подальшої підтримки командою
• Співпрацювати з leadership та department heads, збирати requirements та покращувати внутрішні процеси
• Постійно знаходити нові можливості для automation та software solutions

Що для нас важливо

• 3+ роки досвіду роботи з Make.com, n8n або аналогічними automation platforms
• 3+ роки досвіду з Next.js, React, TypeScript/JavaScript та Node.js
• Досвід створення або підтримки full-stack applications, dashboards, internal tools та automation interfaces
• Впевнена робота з REST APIs, webhooks, JSON, authentication та third-party integrations
• Досвід з PostgreSQL, Supabase, Firebase або аналогічними databases/backend services
• Знання Git/GitHub, Vercel, environment variables, deployment та debugging
• Досвід роботи з існуючими codebases, bug fixing та refactoring
• Комфортна робота з AI-assisted та vibe-coded applications
• Вміння перетворювати prototypes та AI-generated code у стабільні internal tools

Архітектурне мислення

Важливо вміти самостійно:

• аналізувати бізнес-процеси та знаходити bottlenecks
• визначати, що саме потрібно автоматизувати
• обирати між Make.com / n8n та custom coded solution
• проєктувати workflow architecture з нуля
• передбачати edge cases, errors та fallback scenarios
• будувати надійні системи, які можна підтримувати та масштабувати

Нам потрібна людина, яка мислить як architect, а не просто редагує готові templates.

Soft Skills

• Startup mindset
• Самостійність та ініціативність
• Solutions-oriented підхід
• Coachability та відкритість до feedback
• Вміння швидко адаптуватися
• Вміння працювати без детальних інструкцій
• Комфортна комунікація з leadership та керівниками різних напрямів

Графік

Необхідна можливість працювати з перетином U.S. business hours, бажано Pacific Time.

Кого ми шукаємо

Спеціаліста, який поєднує:

Automation Engineering + AI + Full-Stack Development + System Architecture

і може пройти весь шлях від аналізу процесу та пошуку bottlenecks до реалізації, тестування, deployment, оптимізації та документації готової системи.

Join an exciting journey to create a cutting-edge Consumer Data Lake for a leading global organization based in Europe. This platform will unify, process, and leverage consumer data from various systems, unlocking advanced analytics, insights, and personalization opportunities. As a Senior Data Engineer, you will play a pivotal role in shaping and implementing the platform's architecture, focusing on hands-on technical execution and collaboration with cross-functional teams.

Your work will transform consumer data into actionable insights and personalization on a global scale. Using advanced tools to tackle complex challenges, you’ll innovate within a collaborative environment alongside skilled architects, engineers, and leaders.

Key Responsibilities:

• Hands-On Development: Build, maintain, and optimize data pipelines for ingestion, transformation, and activation.
• Create and implement scalable solutions to handle diverse data sources and high volumes of information
• Data Modeling & Warehousing: Design and maintain efficient data models and schemas for a cloud-based data platform.
• Develop pipelines to ensure data accuracy, integrity, and accessibility for downstream analytics.
• Collaboration: Partner with Solution Architects to translate high-level designs into detailed implementation plans.
• Work closely with Technical Product Owners to align data solutions with business needs.
• Collaborate with global teams to integrate data from diverse platforms, ensuring scalability, security, and accuracy.
• Platform Development: Enable data readiness for advanced analytics, reporting, and segmentation.
• Implement robust frameworks to monitor data quality, accuracy, and performance.
• Testing & Quality Assurance: Implement robust security measures to protect sensitive consumer data at every stage of the pipeline
• Ensure compliance with data privacy regulations (e.g., GDPR, CCPA ..) and internal policies.
• Monitor and address potential vulnerabilities, ensuring the platform adheres to security best practices.

Requirements:

• Over 4+ years of experience showcasing technical expertise and critical thinking in data engineering.
• Hands-on experience with DBT and strong Python programming skills.
• Proficiency in Snowflake and expertise in data modeling are essential.
• Demonstrated experience in building consumer data lakes and developing consumer analytics capabilities is required.
• In-depth understanding of privacy and security engineering within Snowflake, including concepts like RBAC, dynamic/tag-based data masking, row-level security/access policies, and secure views.
• Ability to design, implement, and promote advanced solution patterns and standards for solving complex challenges.
• Familiarity with multiple cloud platforms (Azure or GCP preferred, with a focus on Azure).
• Practical experience with Big Data batch and streaming tools.
• Competence in SQL, NoSQL, relational database design (SAP HANA experience is a bonus), and efficient methods for data retrieval and preparation at scale.
• Proven ability to collect and process raw data at scale, including scripting, web scraping, API integration, and SQL querying.
• Experience working in global environments and collaborating with virtual teams.
• A Bachelor’s or Master’s degree in Data Science, Computer Science, Economics, or a related discipline.

We are looking for a Lead Data Engineer to drive the design and implementation of scalable data solutions, pipelines, and analytics-ready datasets. 

What You’ll Do 

• Lead design and implementation of data pipelines, transformations, and curated datasets 
• Translate business requirements into structured data solutions and models 
• Guide and execute development of reusable, analytics-ready data assets 
• Ensure consistency in how key data elements are defined and used across systems 
• Collaborate with stakeholders to define and refine data requirements and logic 
• Review and guide engineering work to ensure quality, performance, and scalability 
• Establish best practices for data engineering, transformation, and data quality 
• Support integration of data across multiple domains and systems 
• Contribute to architecture decisions across data platforms and tooling 
• Mentor and support other engineers on the team 

What You Bring 

Must-Haves 

• 5+ years of experience in data engineering, analytics engineering, or related fields 
• Strong SQL expertise and experience designing complex data transformations 
• Hands-on experience with modern data platforms (e.g., GCP BigQuery, Databricks, Snowflake) 
• Data platforms experience. ELT or ETL, orchestration such as Airflow or dbt, Spark, data warehouses and lakehouses such as Snowflake, BigQuery, or Databricks, streaming such as Kafka or Kinesis, metadata and data quality 
• Proficiency in Python 
• Strong understanding of data modeling concepts and data structuring for analytics 
• Experience working with stakeholders to define requirements and deliver data solutions 
• Ability to balance hands-on delivery with technical guidance 

Nice-to-Haves 

• Familiarity with data governance, lineage, or metadata management concepts 
• Experience working with cross-domain data (e.g., customer, product, transactions) 
• Exposure to financial services or other data-intensive industries 
• Experience supporting migration or evolution of data platforms (e.g., toward Databricks) 
• Experience with orchestration tools (e.g., Airflow, Cloud Composer) 
• Exposure to data modeling concepts (e.g., dimensional models, data marts, reusable datasets) 

What’s in It for You 

• Impact at scale. Help shape enterprise AI, software, and data programs across industries. 
• Growth and mastery. Work with a seasoned team from leading consulting and technology backgrounds. 
• Build real products. Work on production ready assets with autonomy over key technical decisions. 

🚀 Senior Data Engineer (EU)

About the Role:

We are looking for an experienced Senior Data Engineer to join our team and help build scalable, secure, and high-performance data platforms. In this role, you will work closely with Data Architects, Engineers, Analysts, DevOps specialists, and Data Scientists to design, develop, and optimize modern cloud-based data ecosystems.

This is a full-time remote position for a senior-level professional who can commit 40 hours per week and take ownership of complex data engineering initiatives.

🔹 Responsibilities:

As a Senior Data Engineer, you will:

* Collaborate with Data Architects on designing and implementing data solutions across Azure, AWS, or IBM Cloud environments

* Build, maintain, and optimize modern data ecosystems and data pipelines

* Develop and support data ingestion, transformation, and processing solutions

* Work closely with cross-functional teams, including Data Engineers, Analysts, DevOps Engineers, and Data Scientists

* Implement security best practices to ensure the reliability and protection of cloud infrastructure and data processes

* Apply modern engineering principles and methodologies to support business growth and innovation

* Identify opportunities to improve data quality, reliability, scalability, efficiency, and overall platform performance

* Optimize data solutions to balance performance, maintainability, and cost-effectiveness

* Design and execute unit, system, and integration testing strategies

* Contribute to continuous improvement initiatives and engineering best practices

🔹 Requirements:

* Strong commercial experience as a Data Engineer

* Advanced proficiency in Python for data processing, transformation, and analysis

* Strong expertise in SQL, including query optimization and database performance tuning

* Hands-on experience with Azure and/or AWS data platforms and services

* Experience designing and maintaining scalable cloud-based data solutions

* Solid understanding of data engineering best practices, data modeling, and ETL/ELT processes

* Experience with software development lifecycle methodologies and Agile environments

Nice to Have:

* Experience with IBM Cloud data services

* Knowledge of data governance and cloud security practices

* Experience working in enterprise-scale data environments

🌍 What We Offer:

-Paid vacation and sick leave

-We provide the equipment you need to work comfortably (if required)

-We cover 50% of courses if you want to grow professionally

-Regular salary reviews based on your performance

-Competitive salary, depending on your experience

-Always on-time payments — no delays

-A normal, supportive team without unnecessary bureaucracy

We respond to every candidate.

Your application will not be ignored.

Please write why you would like to work together.

If you see this vacancy in several weeks/month - write anyway; we often hire people of different levels.
 

The main information (if you don’t like reading long descriptions)

• Full-time
• Remote-first team working primarily within UK business hours
• Experience: 3+ years
• English: В2+
• Start date: as soon as possible
• Long-term cooperation: we want you to work with us for as long as you can :)

About Us

This position is a direct opportunity with a leading UK company.

The Company builds B2B legal technology that helps law firms deliver faster, higher-quality work. The Company’s platform streamlines legal workflows involved in a niche area of law so lawyers can accelerate drafting, negotiation, and compliance at scale.

Tech highlights - we operate a single-tenant SaaS architecture hosted on AWS across multiple regions, built with a modern stack: Python/Django 6, React 18/TypeScript, PostgreSQL, Redis, Elasticsearch/ OpenSearch, S3, ECS, and Lambda.

Our teams work in Agile Scrum squads, supported by strong CI/CD, IaC (Terraform/Terragrunt), and security-first practices (SOPS, KMS). It’s only a web application, no mobile.

About Team

At the moment, our team consists of Developers, Manual QAs, Automation QAs, Project Managers, UI/UX Designers, DevOps Engineers, etc.

We value:

• Speaking up (good ideas are welcome)
• Growth (we’ll help you get there)
• Learning & innovation (we like experiments that don’t break Prod)

About You 

We are seeking a Middle NLP Specialist to design, build, and optimize the text-processing, document intelligence, and language-driven services that power ProVision. You’ll work closely with back-end engineers, front-end engineers, QA, and DevOps to deliver reliable, scalable, and secure NLP-enabled systems serving global enterprise clients.

The ideal candidate will bring strong experience in Python, NLP libraries, document parsing, information extraction, search/retrieval, and textual data transformation, with a focus on performance, maintainability, and production-grade architecture. Experience integrating LLM-powered workflows into enterprise applications is highly desirable.

Essential Requirements

• Proven experience as an NLP Engineer, Applied AI Engineer, Machine Learning Engineer (NLP focus), or Back-End Engineer with significant NLP experience in a SaaS or production environment.
• Strong proficiency in Python 3.10+.
• Strong experience with NLP libraries and frameworks for text processing, tokenization, entity extraction, classification, embeddings, or semantic search.
• Experience working with document-heavy or unstructured text data.
• Familiarity with asynchronous processing and AWS ecosystem (ECS, Lambda, S3, RDS, SQS/SNS).
• Competence in Git, CI/CD, and Agile/Scrum development.
• Strong problem-solving and debugging skills with an emphasis on performance, reliability, and output quality.
• Experience evaluating and improving the quality of text extraction, classification, or retrieval pipelines.

Preferred Requirements

• Experience with PostgreSQL, Redis, and/or Elasticsearch/OpenSearch
• Experience with .NET
• Experience with LLM application development, including prompting, RAG workflows, embeddings, and model orchestration.
• Familiarity with spaCy, NLTK, Hugging Face, sentence-transformers, LangChain, LlamaIndex, or equivalent tooling.
• Experience with PDF, Word, and OCR/text extraction pipelines, including libraries such as pdfplumber, PyPDF2, python-docx, docxtpl, or equivalent.
• Experience working with legal, financial, or other highly structured professional documents.

Personal Attributes

• Pragmatic engineer with a focus on reliability, experimentation, and clean architecture.
• Analytical and detail-oriented problem-solver with strong judgment on trade-offs between model quality, latency, and maintainability.
• Collaborative and communicative in cross-functional Agile teams.
• Proactive in improving data pipelines, extraction quality, and developer experience.

Our benefits and culture

• Competitive compensation
• A strong engineering team and a challenging LegalTech product, working on complex technical problems.
• Opportunity to lead NLP and document intelligence capabilities for a global legal-tech platform.
• Exposure to complex, enterprise-grade workflows, legal-document automation challenges, and cutting-edge AI/NLP applications.
• An environment where you'll continuously learn, grow, and take meaningful ownership of your work
• No micromanagement
• No bureaucracy (well, almost 🙂)
• No useless tasks
• Work-life balance
• Respect & trust
• Supportive team environment

The Hiring Process

• HR interview 
• 2 technical interviews 

Thank you for considering a career with Intelligent Legal Solutions. We appreciate your interest and look forward to learning more about you