Jobs Data & Analytics

We are building the next generation of AI Agentic Marketing Solutions specifically for the Game Development industry. We don’t just build simple chatbots; we build autonomous agents that plan, execute, and optimize User Acquisition (UA) and marketing campaigns for gaming studios.

We are looking for a versatile Product Engineer based in Europe to join our high-performance team and build the end-to-end features that power our agents.

The Role

You will be the bridge between our AI logic and the user experience. You will work across the entire stack—from developing AI agents to building the FastAPI endpoints that drive our agents that our clients use to manage their AI marketing teams.

Key Responsibilities

• Agents Development: Build and maintain AI agents and features from the database level up to the UI.
• Agent Integration: Work closely with our AI team to integrate LangGraph/LangChain workflows into the platform.
• API Design: Develop and optimize high-performance APIs using Python (FastAPI).

Requirements

• AI Expertise: Proven track record of building and scaling AI-powered products. You know the difference between a tutorial and a production-grade agentic system. While you don't need to be an AI researcher, you should have experience with LLM integration and agentic frameworks. 
• Engineering Mastery: 5+ years of experience in software engineering. Solid Python skills with a focus on asynchronous programming (FastAPI, AsyncIO). Familiarity with PostgreSQL, Redis, and modern CI/CD practices. 
• Agentic Frameworks: Deep experience with LangGraph, LangChain, and/or similar libraries.
• Product Mindset: You care about the user experience and understand how your code impacts the business goals of our GameDev clients. 

What We Offer

• High Impact: No bureaucracy. Your code shapes the future of GameDev marketing.
• Elite Team: Work alongside senior experts who value "Delivery in 1 Second" and relentless improvement.
• Medical Insurance in Ukraine and Multisport program in Poland.
• Offices in Ukraine (Kyiv, Kharkiv) and Poland (Wroclaw) or Remote.
• Paid vacation, sick leaves, and official holidays.
• Legal & Accounting services.
• The company provides all necessary equipment.
• English classes and Education reimbursement.

We are building the next generation of AI Agentic Marketing Solutions specifically for the Game Development industry. We don’t just build simple chatbots; we build autonomous agents that plan, execute, and optimize User Acquisition (UA) and marketing campaigns for gaming studios.

We are looking for an AI Jedi—a top-tier engineer who lives and breathes agentic orchestration and can solve the most complex problems in the LLM space.

The Role

This is a high-impact, individual contributor role for a master of AI engineering. You will be responsible for the "brain" of our platform. We need someone who can move beyond basic RAG and prompt engineering to build sophisticated, self-correcting, and autonomous agentic workflows that deliver results for the world’s biggest gaming studios.

Key Responsibilities

• Architecting Autonomy: Design and implement high-level agentic orchestration using LangGraph or custom state-machine frameworks.
• AI Excellence: Solve complex challenges related to agent memory, long-term planning, and multi-agent collaboration.
• Performance & Reliability: Build robust evaluation loops and guardrails to ensure our agents perform reliably in production environments.
• Innovation: Stay at the absolute bleeding edge of AI research, quickly turning new papers and techniques into production-ready features.

Requirements

• Deep AI Expertise: Proven track record of building and scaling AI-powered products. You know the difference between a tutorial and a production-grade agentic system.
• Python Mastery: Expert-level Python skills with a focus on asynchronous programming (FastAPI, AsyncIO).
• Agentic Frameworks: Deep experience with LangGraph, LangChain, and/or similar libraries.
• Infrastructure Savvy: Comfortable with Vector Databases, high-scale data pipelines, and cloud infrastructure (AWS/K8s).
• Startup DNA: You are a "Builder." You value speed, pragmatism, and shipping code that works over theoretical perfection.

What We Offer

• High Impact: No bureaucracy. Your code shapes the future of GameDev marketing.
• Equity & Growth: A fast-track path to a key leadership role with a stake in the company’s success.
• Elite Team: Work alongside senior experts who value "Delivery in 1 Second" and relentless improvement.
• Medical Insurance in Ukraine and Multisport program in Poland.
• Offices in Ukraine (Kyiv, Kharkiv) and Poland (Wroclaw) or Remote.
• Paid vacation, sick leaves, and official holidays.
• Legal & Accounting services.
• The company provides all necessary equipment.
• English classes and Education reimbursement.

Computer Vision engineer

DeepX is looking for a Computer Vision engineer

Core requirements:
- Python development experience
- Knowledge of popular data processing libraries (numpy, pandas, scipy etc)
- GIT, Linux, bash

Nice to have (or able to learn quickly):
- Hands-on experience with popular Machine Learning frameworks (OpenCV, Pytorch, Tensorflow, Keras, Yolo)
- Understanding of Computer Vision problem space
- Machine Learning and Artificial Neural Networks fundamentals
- Linux, Docker, gcc/make etc experience
- C++ and C, creating Python C extensions

A bit about DeepX company:
DeepX is an R&D intensive and innovation-driven consortium that provides Artificial Intelligence-powered Computer Vision solutions for businesses.
Please, take a look to find out more about us https://deepxhub.com/
We are a group of enthusiastic adherents who are passionate about the idea of improving this world’s safety by making Computer Vision technologies more advanced. Lifetime learning is our motto, we are admire ambition hard workers who are ready to face new challenges. If you feel like we might be on the same page, please, apply!

We’re Applyft — an IT product company which creates value-driven mobile and web apps. Our journey began with the Geozilla family locator product, but now our portfolio consists of 8 apps in Family Safety, Parental Control and AI.

In 2025, we launched a new direction — Finestro, an AI-powered educational app that helps people master AI, improve their financial well-being, and unlock new growth opportunities.

Now we are looking for a Middle/Senior Marketing Data Analyst to support analytics across user acquisition and marketing performance.

About you:

• Strong SQL skills (BigQuery or similar).
• Solid understanding of marketing metrics: CAC, LTV, ROI/ROMI, payback.
• Experience working with large-scale datasets (transaction-level, event-level).
• Strong analytical thinking and ability to translate data into business insights.
• Experience with BI tools (Tableau/Looker Studio).

• Ability to work with attribution data and marketing sources (Meta, Google Ads, etc.).

   

What you’ll do:

• Analyze marketing performance across different channels (Meta, Google, etc.).
• Work with core datasets (spend, revenue, LTV, attribution).
• Transform marketing data into clear, actionable decisions for scaling.
• Analyze traffic quality, channel performance, and unit economics.
• Identify growth opportunities and initiate data-driven improvements.

• Work with LTV forecasts, payback periods, and scaling scenarios.

   

Nice to have:

• Experience with subscription-based products.
• Experience with payment data (Stripe, PayPal, refunds, chargebacks).
• Python skills.
• Familiarity with ML models and data science.
• Experience with Amplitude, AppsFlyer.
   

We Offer:

• Remote-First culture: We provide a flexible working schedule and you can work anywhere in the world
• Health taking care program: We provide Health insurance, mental health support (psychologist compensation), sport compensation, and 20 paid sick days.
• Personal Equipment Policy: We provide all necessary equipment for your work. For Ukrainian employees we also provide Ecoflow
• Vacation Policy: Each employee in our company has 20 paid vacation days and extra days on the occasion of special evens
• Knowledge sharing: We are glad to share our knowledge and experience in our internal events
• English Lessons: We provide corporate English lessons to support your professional and personal growth.
• Professional Development: Annual learning budget for courses, training, certifications, and conferences.
• Public Holidays: You receive days off according to the official public holidays of your country of residence.
• Coworking Compensation (Ukraine): We provide coworking space compensation for employees located in Ukraine.

Hiring process:
Recruitment Screen 👉Tech interview 👉 Test Task 👉 Final Interview 👉 Job Offer
 

Turn your expertise into real impact — be part of our team!

Deep AI/ML & Dev Background: A strong foundation in traditional machine learning, computer vision, and modern Generative AI/Agentic frameworks. You have a proven track record as a software engineer (Python, C++, etc.) who understands production-grade architecture.
Physical AI Familiarity: True passion for the intersection of software and the physical world. You understand how AI interacts with edge computing, robotics (ROS), IoT protocols, or industrial automation (PLCs).
Industry Awareness: You are genuinely obsessed with the state of the art. You know what models dropped last week, which hardware accelerators are trending, and how competitors are approaching physical automation.
The Proactive Ideator: You don't wait for a ticket to be assigned. You look at a client's industrial problem, generate three viable AI solutions, pick the best one, and start building the proof-of-concept.
Technical Communicator & Consultant: Excellent communication skills with the ability to translate complex AI models into clear business value for C-level clients during pre-sales, while maintaining deep technical credibility with engineering teams.

Job Responsibilities:

Engineering Unit Ideation & Execution: Generate, evaluate, and implement cutting-edge Physical AI use cases. You will own the technical roadmap for our prototypes, ensuring we are constantly pushing the boundaries of what AI can do in the physical realm.
Pre-Sales & Client Architecture: Partner with business development to review client requirements, architect end-to-end Physical AI solutions, and present the technical vision directly to customers. You will support the critical transition from a signed contract to a launched project.
Technical Review & Mentorship: Act as the ultimate technical authority for the Engineering Unit. You will review code, evaluate architecture diagrams, ensure high engineering standards, and guide junior developers as the team grows.
Internal Networking & Knowledge Sharing: Connect with technical leaders and capabilities across the company to leverage existing expertise. You will keep your finger on the pulse of global AI/ML advancements, ensuring our Engineering Unit always uses the latest, most efficient technologies.
Hands-on AI/ML Development: Maintain a strong development presence. You will design and implement the software glue, agentic workflows, and ML models that allow digital brains to interact with physical sensors, actuators, and industrial systems.

Department/Project Description:

The Vision
Generative AI is stepping out of the browser and into the physical world. We are building "Physical AI" - bridging digital agentic intelligence with real-world mechanical, robotic, and industrial systems. To prove this to our clients in manufacturing, energy, and mobility, we don't just build slide decks; we build functioning physical prototypes and architect scalable, real-world solutions. We are establishing a brand-new Physical AI Engineering Unit to target massive operational impact for Fortune 500 customers. We are not running isolated lab experiments; we are engineering the future of physical operations, and we need a technical anchor to help us build this foundation from the ground up.
The Role
You are the technical heartbeat and catalyst of our Physical AI EU. This is a highly dynamic, proactive role that demands a rare blend of deep technical mastery (AI/ML + software development) and entrepreneurial drive. You aren't just waiting for architectural blueprints to be handed to you; you are the one generating the ideas, reviewing the technical solutions, and bringing them to life.
You will naturally connect the dots across our company - communicating with internal engineering teams, staying ahead of the latest industry breakthroughs, and acting as the technical face of this EU during pre-sales activities.

ABOUT COMPANY

SoftServe Business Systems was founded in 2003. We aim high; our mission is to lead the digital revolution in the FMCG industry. It means delivering the best products & services possible that empower businesses to grow and improve efficiency.

We are a product company, and this affects our day-to-day activities. Our team is highly involved in the client’s needs, we value business ability, and we take every step with extra care. Among our clients are businesses like AB InBev, Unilever, JDE, PepsiCo, Henkel, and others.

Our customer is Anheuser-Busch InBev (AB InBev), the biggest brewery company in the world. We own over 630 beer brands (including Budweiser, Stella Artois, Hoegaarden, Beck’s, Leffe, Chernihivske) in 150 countries and are considered to cover 28% of the global beer market worldwide. European HQ is in Leuven, Belgium.

REQUIREMENTS

• 4+ years in a Data Scientist or similar analytical role
• Proficiency in Python or R and experience with core data science libraries and toolkits
• Solid grasp of the full data science workflow: from ETL and EDA to feature engineering, modeling, and evaluation
• Strong understanding of machine learning techniques for classification and regression tasks
• Familiarity with descriptive and inferential statistics
• Confident communication skills and a good sense of data visualization principles

Nice-to-have skills

• Hands-on experience with Design of Experiments or recommender systems
• Exposure to cloud platforms (e.g., Azure) and scaling analytical solutions
• Working with APIs to gather external data, ideally from social media platforms
• General software engineering skills

RESPONSIBILITIES

• Support prediction modeling and measurement initiatives by scaling and deploying solutions together with global analytics hubs to improve commercial KPIs
• Maintain and update data pipelines, monitor model performance and stability across multiple use cases and markets
• Contribute to live testing activities by enhancing the test-and-learn platform and helping stakeholders design and run in-market experiments
• Optimize online promotion strategy, including calendar planning, execution logic, and personalization to drive higher conversion and long-term customer value
• Collaborate with the broader data science team to refine existing tools, methods, and best practices

Ready to work on machine learning solutions powering large-scale video advertising platforms used by millions of viewers worldwide?

We are looking for a Senior / Principal Machine Learning Engineer to join a distributed engineering team working on intelligent forecasting and advertising optimization systems. In this role, you will contribute to high-load cloud-native solutions processing billions of daily requests and terabytes of data.

We at Sigma Software offer the opportunity to work with cutting-edge ML and Big Data technologies, collaborate with international experts, and influence technical decisions within a complex AdTech ecosystem.

Customer:

Our Customer is a leading technology company in the television and digital advertising industry focused on helping media companies monetize premium video content. The platform supports high-quality video delivery across smart TVs, OTT devices, mobile applications, set-top boxes, and desktop environments. The Customer operates a large-scale distributed ecosystem that combines machine learning, cloud technologies, and advanced analytics to optimize advertising efficiency and audience targeting.

Requirements:

• 6+ years of commercial experience in Machine Learning and Big Data engineering
• Strong hands-on experience with machine learning algorithms implementation using Python
• Proven experience with Apache Spark and large-scale distributed data processing
• Experience working with distributed messaging systems such as Kafka
• Strong knowledge of AWS cloud services and cloud-native architectures
• Experience designing and developing large-scale distributed or mission-critical systems
• Solid understanding of software engineering principles, SDLC, and Agile methodologies
• Strong analytical thinking and problem-solving skills
• Ability to work independently and take ownership of complex technical solutions
• Good communication and collaboration skills

• Upper-Intermediate or higher English level

   

Will be a plus:

• Experience with Golang
• Experience in AdTech, online advertising, or media platforms
• Experience with forecasting systems or recommendation engines

• Experience optimizing ML models for large-scale production environments

   

Responsibilities:

• Design, develop, and optimize scalable Machine Learning models for advertising intelligence and forecasting systems
• Analyze large-scale historical and real-time datasets to improve forecasting accuracy and monetization strategies
• Build and maintain distributed data processing pipelines using Spark and related Big Data technologies
• Develop production-ready ML solutions using Python within AWS cloud infrastructure
• Research, evaluate, and implement Machine Learning algorithms suitable for high-load AdTech environments
• Improve model performance, scalability, reliability, and operational efficiency
• Collaborate with Data Engineers, Product Managers, and distributed engineering teams to deliver end-to-end ML solutions
• Contribute to ML architecture decisions, experimentation approaches, and engineering best practices
• Monitor, validate, and optimize ML model quality and forecasting performance in production environments
• Produce technical documentation related to ML pipelines, models, and distributed systems
• Mentor engineers and support technical growth within the team
• Drive innovation in Machine Learning and AdTech technologies

Готові працювати над рішеннями у сфері машинного навчання, які забезпечують роботу масштабних платформ відеореклами, якими користуються мільйони глядачів по всьому світу?

Ми шукаємо Senior / Principal Machine Learning Engineer до розподіленої команди розробки, яка працює над інтелектуальними системами прогнозування та оптимізації реклами. На цій посаді ви долучитеся до створення високонавантажених cloud-native рішень, що щодня обробляють мільярди запитів і терабайти даних.

У Sigma Software ви матимете можливість працювати з передовими технологіями Machine Learning і Big Data, співпрацювати з міжнародними експертами та впливати на технічні рішення в межах складної AdTech-екосистеми.

Замовник:

Наш Замовник — провідна технологічна компанія у сфері телебачення та цифрової реклами, яка допомагає медіакомпаніям ефективно монетизувати преміальний відеоконтент. Платформа забезпечує високоякісну доставку відео на Smart TV, OTT-пристрої, мобільні застосунки, TV-приставки та настільні комп’ютери. Замовник керує масштабною розподіленою екосистемою, що поєднує машинне навчання, хмарні технології та розширену аналітику для оптимізації ефективності реклами й таргетування аудиторії.

Вимоги:

• 6+ років комерційного досвіду у сфері Machine Learning та Big Data.
• Впевнений практичний досвід реалізації алгоритмів машинного навчання з використанням Python.
• Досвід роботи з Apache Spark та обробкою великих обсягів даних у розподілених системах.
• Досвід роботи з розподіленими системами обміну повідомленнями, такими як Kafka.
• Ґрунтовні знання хмарних сервісів AWS та cloud-native архітектур.
• Досвід проєктування та розробки масштабованих розподілених або критично важливих систем.
• Розуміння принципів розробки програмного забезпечення, SDLC та Agile-методологій.
• Розвинене аналітичне мислення та навички вирішення складних технічних задач.
• Здатність самостійно працювати та брати відповідальність за реалізацію комплексних технічних рішень.
• Хороші комунікаційні навички та вміння ефективно співпрацювати з командою.

• Англійська мова — Upper-Intermediate або вище.

   

Буде перевагою:

• Досвід роботи з Golang.
• Досвід у сфері AdTech, онлайн-реклами або медіаплатформ.
• Досвід розробки систем прогнозування або рекомендаційних систем.
• Досвід оптимізації ML-моделей для великомасштабних production-середовищ.

Обов’язки:

• Проєктування, розробка та оптимізація масштабованих моделей машинного навчання для систем рекламної аналітики та прогнозування.
• Аналіз великих історичних і потокових наборів даних для підвищення точності прогнозування та ефективності монетизації.
• Розробка й підтримка розподілених конвеєрів обробки даних із використанням Spark та інших технологій Big Data.
• Створення production-ready ML-рішень на Python у хмарній інфраструктурі AWS.
• Дослідження, оцінка та впровадження алгоритмів машинного навчання для високонавантажених AdTech-систем.
• Підвищення продуктивності, масштабованості, надійності та ефективності роботи моделей.
• Співпраця з Data Engineers, Product Managers та розподіленими командами розробки для створення комплексних ML-рішень.
• Участь у прийнятті архітектурних рішень, визначенні підходів до експериментів та впровадженні найкращих інженерних практик.
• Моніторинг, валідація та оптимізація якості ML-моделей і точності прогнозування в production-середовищі.
• Підготовка технічної документації щодо ML-пайплайнів, моделей і розподілених систем.
• Менторинг інженерів та підтримка їхнього професійного розвитку.
• Сприяння впровадженню інновацій у сфері Machine Learning та AdTech.

About Digis
Digis is a European IT company with 230+ specialists delivering complex products for 70+ clients across the U.S., Europe, and Canada. We operate in a remote-first environment and focus on long-term collaboration, stable projects, and transparent processes.

About the Project
You will join a long-term project in the promotional products / drop-shipment domain.
The client receives product data from 50+ suppliers in different formats and is now modernizing its data platform. The main goal is to automate supplier data transformation, improve data quality, migrate from the existing Talend ETL tool, and build a scalable GCP-based framework that will serve as a single source of truth for clean product data.

Requirements

• Requirements
• 5+ years of experience as Data Engineer
• 1+ year of experience with GCP
• Upper-Intermediate+ English level

Responsibilities

• Build and maintain automated data pipelines for supplier product feeds
• Normalize different supplier formats into a unified data structure
• Implement data validation, quality checks, and supplier-facing data quality reports
• Store transformed data versions and deliver clean data to internal systems
• Migrate existing Talend ETL workflows to the new GCP-based data stack
• Set up reusable pipeline frameworks for future supplier integrations
• Work with Python, BigQuery, Dataform, Cloud Composer, Terraform, and related GCP tools

Advantages

• Long-term project with an existing business and real production data
• Business-critical data platform with visible impact on client operations
• Opportunity to take ownership of data pipeline automation and modernization
• Work with 50+ supplier data sources and real data quality challenges
• Clear focus on data engineering, automation, transformation, and data quality

We Offer

• 20 paid vacation days per year
• 5 paid sick leaves, no medical certificate required
• Compensation for professional courses
• English learning support
• Work equipment
• Transparent communication and processes
• Opportunity to switch projects within Digis
• Legal and accounting support
• Corporate psychologist

Description

Customer is a US medical Company that is dedicated to transforming patient’s lives at scale by being the driving force to decentralize the delivery of safe care into their homes or other preferred sites of care.
Project provides health systems with all that is needed to safely care for patients, including the clinical protocols, reimbursement model, platform technology, and fulfillment of all the clinical services required in the home through partners. Clinicians and patients broadly prefer this model over traditional care; both clinical and financial outcomes are improved as compared to traditional care.

Requirements

Must have:

• Strong Python skills and solid Computer Science / software engineering fundamentals
• Strong hands-on experience with LLMs and generative AI: building, integrating, and shipping LLM-powered applications to production (not traditional ML/model training)
• Practical experience designing and building agentic workflows / AI agents (e.g., LangChain, LlamaIndex, Bot Framework, Claude/Bedrock agents, or similar)
• Experience with agent and LLM evaluation: measuring quality, grounding, and reliability of AI solutions
• REST APIs and integration of AI solutions with enterprise data sources (SharePoint, Confluence, Jira, etc.)
• Delivery-focused seniority: a mature engineer able to own solutions end-to-end and grow into a team lead role
• Excellent communication and collaboration skills: open-minded, comfortable in stakeholder meetings, works well in a remote setup

Nice to have:

• Microsoft ecosystem experience: Copilot Studio / Power Platform, M365, Azure OpenAI
• AWS Bedrock and Claude-based solutions (the client is actively rolling out Claude through Bedrock)
• Some data engineering experience (pipelines, data preparation for RAG/grounding — no need to be a guru)
• Experience in regulated environments (healthcare a strong plus)
• Azure Functions, CI/CD pipelines, DevOps practices
   

Job responsibilities

• Design, build, and productionize generative AI solutions and agentic workflows for company-wide use (engineering and non-engineering users)
• Contribute to the three major AI engines currently in development, including supporting and pairing with existing team members
• Build and run evaluations of AI agents: quality, grounding against private knowledge bases, and reliability
• Ground AI solutions in enterprise knowledge sources (SharePoint, Confluence, Jira) with appropriate access and security controls
• Write custom code (Python, APIs) to extend beyond low-code tool limitations where needed
• Assess and advise on platform/tooling choices (Copilot Studio vs. Claude/Bedrock vs. custom), including cost and licensing trade-offs
• Participate actively in stakeholder meetings; translate business needs into delivered AI solutions
• Grow into a team lead role: set engineering direction, mentor AI enthusiasts on the team, and enable the sponsor to step back into a strategic role

Cargofy is building the AI-native operating system for global freight. Cargofy deploys autonomous AI agents that automate procurement, dispatching, negotiations, operations, tracking, and workflows for carriers, shippers, and 3PLs across the US, Europe, and Asia. Our platform processes 100,000+ loads per day and hundreds of thousands of real-time events — replacing manual logistics with fully autonomous AI.

We need a Backend Engineer (PHP/Laravel) to build and scale the core systems powering our AI logistics platform — from load matching engines to real-time event pipelines processing hundreds of thousands of transactions daily.

Why This Role Matters

Every AI agent in our platform depends on a fast, reliable backend. You will build the infrastructure that lets our AI find loads, negotiate rates, talk to drivers, run tenders, and manage shipments — all autonomously. When you ship code, it reaches thousands of logistics companies within days.

What You Will Do

• Design and build backend services for the Cargofy platform — APIs, event-driven pipelines, job queues, and real-time processing
• Build integrations with third-party systems: ERPs (including Odoo), TMS platforms, ELD providers, load boards, and messaging services
• Work directly with AI modules — LLM orchestration, Voice AI, scoring engines, and autonomous decision-making pipelines
• Optimize high-load processes: queues (Redis + Horizon), scheduling, notifications, and webhook handling at scale
• Design modular, maintainable architectures (Laravel modules / multi-service patterns)
• Write tests for critical business logic and participate in code reviews

Tech Stack

• PHP 8.x — strong OOP, PSR standards, clean code
• Laravel — deep understanding of framework internals, service container, Eloquent, events
• PostgreSQL — optimized queries, indexing strategies, large-scale data
• Redis, Horizon — queues, caching, real-time event processing
• Event-driven architecture, WebSockets, REST API design
• PHPUnit, CI/CD pipelines, Docker

Who You Are

• 3+ years of production PHP/Laravel experience
• You think in systems, not isolated tasks — you understand how your code affects the entire platform
• Independent and proactive — you propose solutions and architectural improvements, not wait for tickets
• Obsessed with performance, stability, and code quality
• Excited about building backend that must handle millions of events across 3 continents

Why Cargofy

• Your code ships to production within days and is used by thousands of logistics companies
• Work at the frontier of applied AI — our agents make real phone calls, negotiate real rates, and manage real shipments
• Competitive compensation + stock options for top performers
• Clear OKR system, strong engineering culture, and a team that ships daily
• Remote-first with offices in Kyiv, Warsaw, and Houston

The opportunity

Love the space where business questions meet hands-on data work? You'll work across a portfolio of fast-growing software companies backed by a private equity investor, building the revenue reporting their founders and finance leaders rely on — one company at a time. A rare chance to sit close to the top of the business, learn how SaaS companies really make money, and grow fast at the intersection of commercial and technical.

This could be a great fit if you're…

• From QA or data quality — you love making data clean, accurate and trustworthy. Reconciliation and getting the numbers right are at the heart of this role.
• A Product Owner / Manager in SaaS or FinTech — you already know the metrics and the stakeholders, and you want to go deeper and more hands-on with the data itself.
• A Business / Data Analyst or RevOps person — ready to step up into real ownership of commercial reporting.
• Comfortable at the intersection of business and technical — and you want to make that your core role, not a side skill.

What you'll do

• Build clear, unified commercial reporting from the ground up for one company at a time — starting with ARR and “snowball” analytics (new, upsell, downsell, churn).
• Pull data together from different systems (billing, CRM, contracts, finance), clean and reconcile it, and turn it into one trusted source of truth. Getting it accurate is the whole point.
• Work out who to talk to and where the answers live; partner directly with each company's finance/commercial leaders and data team.
• Once it's built and trusted, hand it over and take on the next company.

What you bring (core)

• Business × technical. You’re equally happy in a commercial conversation and in the data. This matters most.
• Hands-on builder. Proficient in Python and SQL — able to take raw source data through to clean, validated output tables and reporting cubes, working fairly independently. Everything around the core can be handled pragmatically, including with AI.
• Commercial curiosity. A fast grip on how businesses make money; comfortable translating business questions into a technical implementation. SaaS metrics exposure is a plus, and you’re keen to master them.
• Sharp and accurate. Detail-driven, with the confidence to ask good questions and explain your numbers clearly.

The ideal profile we’re targeting (a plus, not all required)

• Commercially oriented. Ideally 2+ years in a consulting, advisory or deal-support environment (e.g. Big 4 or a boutique analytics consultancy), used to turning business questions into practical data solutions.
• System & data migration. Experience with ERP, CRM or billing platform migrations (e.g. Salesforce, NetSuite, Chargebee) — understanding the data-quality pitfalls (duplicate customers, broken historical linkages) and how to reconcile pre- vs. post-migration data to keep the numbers continuous.
• Accounting or SaaS exposure. Either an accountant by trade, or someone with SaaS revenue-analytics exposure — familiar with subscription metrics (ARR, NRR, churn), snowballs and billings-to-revenue reconciliations.
• Handy to have. Familiarity with platforms like Databricks, Azure or GCP, and with project management across stakeholders.

Why you’ll like it · Engagement

• Exposure across many fast-growing software businesses with a direct line to their leadership — real ownership, and a fresh challenge every few months.
• Interim / contract, full-time capacity. Back-to-back projects (~3 months to a year each). Fully remote, occasional optional travel. Mentored by an experienced data leader. Start soon.

About the Project
Our client operates community and specialty hospitals, a managed care organization, a physician network, community health centers, and home care and other health-related entities in the United States. The Research Portal — one of the internal products — is a web-based application with over 10,000 current users developed for the entire research community to review, monitor, and manage research portfolio. The main goal is to unite distributed and complex organizational processes into one application and help alleviate administrative burdens. 
 

Skills & Experience

• 5+ years of professional experience in data warehouse development.
• Strong hands-on experience with: T-SQL, stored procedures, query performance tuning, and indexing strategies.
• Proven experience building and maintaining ETL pipelines with SSIS (SQL Server Integration Services).
• Solid understanding of dimensional modeling (star/snowflake schemas), slowly changing dimensions, and data warehouse design best practices.
• Experience with source-to-target mapping, data quality checks, and reconciliation processes.
• English — Upper Intermediate or above.
   

Nice to have

• Familiarity with Azure data services (Azure SQL MI, IR, Data Factory, SSIS, Storage Account, Key Vault) as a migration/modernization path.
• Experience working with healthcare or other regulated/compliance-sensitive data.
• Exposure to CI/CD practices for database and ETL deployments.
   

Responsibilities

• Design, build, and maintain ETL/ELT pipelines using SSIS to move and transform data from operational systems into the data warehouse.
• Design and evolve dimensional models (facts, dimensions, SCDs) that support reporting and analytics needs.
• Write and tune complex T-SQL queries, stored procedures, and views; troubleshoot performance bottlenecks.
• Establish and enforce data quality, validation, and reconciliation processes across the warehouse.
• Collaborate closely with Product Owners, Business Analysts, and backend engineers to translate business requirements into data models and pipelines.
• Document data flows, schemas, and transformation logic to support maintainability and onboarding.
• Serve as an escalation point for data-related production issues; perform root-cause analysis and implement long-term fixes.
• Monitor ETL job health and proactively address failures, latency, and data drift.

About the Role

We are looking for an experienced Senior Databricks Data Engineer to design, build, and modernize large-scale data platforms. This role combines deep hands-on engineering with strategic ownership of data platform initiatives, migration projects, and cross-functional collaboration in a cloud-native environment.

Responsibilities

• Design, build, and optimize scalable data pipelines and data models.
• Lead and support large-scale data platform modernization and migration initiatives.
• Develop solutions using Databricks, AWS, and cloud-native technologies.
• Leverage LLM-powered tools for code translation and migration automation.
• Collaborate with cross-functional teams to deliver high-quality data solutions.
• Optimize data platform performance, scalability, and reliability.
• Communicate technical solutions and project progress to stakeholders.

Requirements (Must-Have)

• 5+ years of hands-on experience in data engineering.
• Strong practical experience with Databricks.
• 3+ years of experience building or migrating large corporate data platforms.
• Experience using LLM-powered tools for code translation or migration automation.
• Hands-on experience with AWS or other cloud providers.
• Solid data modeling skills.
• Strong communication and presentation skills with the ability to engage technical and business stakeholders.
• Fluent English (written and spoken).
• EU citizen, working from within the EU.

Nice to Have

• Consulting background.

What AppRecode Offers

• 20 days of paid annual leave plus public holidays.
• 5 paid sick days per year.
• Remote-first work environment.
• Friendly and supportive team culture.
• Personal development plans and access to experienced mentors and technical leaders.
• Reimbursement for sports activities and professional certifications (after probation).
• Ongoing learning opportunities: internal trainings and knowledge-sharing sessions.
• Free English classes if you want to further improve your communication skills.

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:

The company develops an advanced monitoring and analytics platform for complex hardware systems. Using embedded data collection, large-scale analytics, and machine learning, the product captures data across development, production, and live operation, providing real-time visibility into system performance, quality, and reliability.

The platform processes large volumes of data in complex environments and helps customers prevent failures, optimize performance, and improve overall system quality. From an infrastructure perspective, it relies on cloud-based and distributed systems, supported by Kubernetes, CI/CD pipelines, infrastructure as code, and monitoring tools.

About the Role:

As a Senior DevOps Engineer, you will design, implement, and maintain scalable infrastructure and deployment processes for a complex, customer-facing product. Working in a small, distributed team with high ownership, you will contribute across the full lifecycle—from design to production. The role focuses on CI/CD pipelines, cloud and Kubernetes environments, as well as system reliability, observability, and performance. You will collaborate closely with development teams to improve deployment processes, automate workflows, and support customer environments when needed.

Key Responsibilities:

• Design, implement, and maintain CI/CD pipelines using GitHub Actions and related tools.
• Develop and manage infrastructure as code using Terraform and Terragrunt.
• Deploy and maintain cloud infrastructure across AWS, Azure, GCP or similar environments.
• Manage containerized environments using Docker and Kubernetes, including Helm charts.
• Automate configuration and deployment processes using Ansible.
• Monitor system performance and reliability using tools such as Prometheus and Grafana.
• Troubleshoot and resolve infrastructure and deployment issues in production environments.
• Collaborate with development teams to improve system scalability, reliability and deployment processes.
• Maintain networking configurations, DNS management, and load balancing solutions.
• Support customer-facing deployments and integrations when needed.

Required Competence and Skills:

• 5+ years of experience as a DevOps Engineer.
• Proficiency with GitHub and GitHub Actions for version control and CI/CD.
• Strong experience with Ansible for configuration management and automation.
• Hands-on experience with Terraform for infrastructure provisioning.
• Strong experience with containerization and Kubernetes orchestration, including Docker and Helm.
• Knowledge of at least one major cloud provider (AWS, Azure, or GCP).
• Proficiency in Python and Bash scripting for automation tasks.
• Good understanding of networking concepts, DNS, and cloud load balancing.
• Experience with monitoring and observability tools such as Prometheus, Grafana, or similar.
• Strong communication skills and ability to collaborate with distributed teams.
• Proficiency in English communication, both written and verbal.

Nice to Have:

• Experience with Terragrunt.
• Basic database knowledge and administration skills.

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.

POSITION DESCRIPTION: 

We are looking for a Business Analyst who will interact with stakeholders, development and quality assurance teams to elicit and analyze requirements, document them and create functional specifications. The candidate will contribute to every stage of the product lifecycle from research and discovery to iterative development and roll-out.
 

LOCATION: Ukraine (remote)
 

MINIMUM EXPERIENCE: 

6+ years of commercial experience in Business Analysis.
 

REQUIREMENTS: 

• Proven experience of working with external clients or handling outsourcing projects
• Solid expertise in the discovery stage of the project
• Experience and understanding of BA work on the pre-sale stage
• Basic understanding of product management/product ownership
• Understanding of business processes, optimization and automation
• Proven experience in gathering and eliciting requirements and successfully completing analytical assignments
• Knowledge of modelling notations: UML, BPMN, Data Flow
• Knowledge of API documentation and basic principles of relational databases such as MySQL
• Ability to influence stakeholders and closely collaborate with them to determine acceptable solutions
• Ability to translate business needs into software and operational requirements
• Readiness to work in dynamic environment with frequent project change
• Upper-Intermediate level of English
   

DUTIES: 

• Planning, conducting, facilitating discovery and pre-sale project workshops
• Elaborating business, functional and non-functional requirements
• Preparing and presenting discovery artifacts
• Gathering critical information from meetings with stakeholders
• Defining, translating, simplifying, and prioritizing requirements
• Creating business cases and user stories
• Creating conceptual prototypes and mock-ups
• Ensuring that designed solutions meet business needs and requirements
• Performing acceptance testing
• Creating detailed reports and giving presentations
   

NICE TO HAVE:

• Knowledge of artificial intelligence mechanics and how to work with prompts
• Experience with Power BI
• Experience in building JSON and XML documents and using them in functional specifications
• Exposure to engineering software (CAD/CAM, PDM/PLM, etc.)
   

COMPENSATION & BENEFITS:

• Competitive salary 
• Professional and friendly team 
• Flexible work schedule 
• Fully remote work mode
• Health insurance
• Paid vacation, sick leave, and other benefits