Jobs Data & Analytics

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 👉Final Interview 👉 Reference Check 👉 Job Offer

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

We are looking for an experienced Senior Data Engineer / Platform Engineer to help build and maintain reliable, scalable data infrastructure, pipelines, and tooling across analytics and product data stack. This is a full-time, 2-month engagement with strong potential for long-term extension (full-time or part-time).

You will play a key role in designing and improving the company’s data ecosystem, ensuring that business and product teams have access to accurate, trustworthy, and actionable data.

About the Client

AI-driven product company focused on building intelligent agents that automate and enhance customer interactions across multiple channels.

What You’ll Do

• Design, build, and maintain scalable ETL/ELT workflows.
• Improve data quality, reliability, and observability practices.
• Manage and enhance integrations between various systems and platforms.
• Collaborate closely with engineering, product, and implementation teams.
• Ensure data accessibility and consistency for analytics and operational use cases.

RequirementsMust-Have Qualifications

• Minimum 5 years of experience in Data Engineering or Platform Engineering.
• Strong experience building and maintaining production-grade data systems.
• Hands-on experience with cloud data platforms, preferably Google Cloud Platform (GCP).
• Advanced SQL skills.
• Experience designing and supporting ETL/ELT pipelines.
• Experience with data orchestration and workflow management tools.
• Strong knowledge of MS SQL Server.
• Experience working with ClickHouse.
• Hands-on experience with Fivetran.
• Excellent verbal and written English communication skills.
• Ability to operate independently and thrive in a fast-paced environment.

Recruitment Process

The hiring process is designed to be straightforward and practical:

1. Pre-screen with Recruitment Manager.
2. Interview with Product Owner — discussion around experience, technical background, and project fit.
3. “Vibe Coding” Session with Product Owner

Backend AI Engineer

[Freelance, Full-time, Remote]

SNEAK PEEK

⇨ Location: Remote, GMT+0/+4

⇨ Interview process: HR Interview ⇨ Technical interview ⇨ Take-home challenge ⇨ Presentation of home challenge 

WHO ARE WE? 

At Rounds, we believe in harnessing the power of cutting-edge technology to drive business success. Our transformative, machine-learning technology identifies and optimizes mobile assets, while our team of experts, with their unparalleled human capital and business acumen, provides the strategic direction and support to turn mobile assets into profitable businesses. Together, we are revolutionizing the mobile industry. 

THE ROLE

We’re looking for a strong systems-oriented engineer with hands-on LLM experience to join our AI Innovation team. In this role, you’ll build AI systems and internal products that improve how teams work across different departments and areas in the company. The common denominator is ownership: you should be comfortable leading projects end-to-end, including clarifying needs with stakeholders, making decisions under ambiguity, and pushing through blockers when they arise.

This role is a strong fit for someone who enjoys both sides of applied AI work: full-stack engineering and practical use of LLM capabilities.

Hiring manager: Ori Nahum, AI Innovation Team Lead 

What you’ll be working on

Examples of projects you may work on:

• AI agents for code generation workflows (especially in mobile applications)
• A mobile app navigation agent
• Backend services that orchestrate LLM workflows, tool calling, and integrations with internal systems
• AI chatbot connected to internal data sources and business systems
• And other new AI-driven solutions that support different departments across the company

You’ll be expected to move between experimentation and implementation: validating ideas quickly, turning the promising ones into reliable tools, and leading projects far enough to make them useful in practice, not just technically possible.

WHAT ARE WE LOOKING FOR?

Must-have

• 5+ years experience in software development (preferably in Python, TypeScript, or mobile development).
• Ability to lead projects from idea to production, including aligning with stakeholders, driving decisions, and proactively removing blockers when needed
• Hands-on experience building LLM-based products, tools, or agents beyond toy prototypes
• Good understanding of prompt design, tool calling, orchestration, and how to make LLM systems actually useful
• Strong English communication skills

Big advantage

• Experience building internal developer tools or productivity systems
• Background in mobile development, especially native Android or iOS
• Design and implement evaluation frameworks to assess AI performance, accuracy, and reliability.
• Solid understanding of ML theory and how LLMs work under the hood, including key concepts, limitations, and trade-offs beyond the API layer
• Familiarity with cloud infrastructure / DevOps / CI-CD
• Good judgment around where AI adds value and where it doesn’t

Who will do well here

You’ll likely do well in this role if you:

• Like building practical systems, not just demos
• Take initiative without waiting for perfect specs
• Enjoy exploring new tools, but know how to separate hype from what’s actually useful
• Want the freedom to research, experiment, and then ship
• Enjoy working across different problem spaces and use cases, rather than staying in one narrow lane

INTERESTED?

Our recruitment process consists of the following steps: 

• HR interview with the recruitment manager: 45 min
• Technical interview with the AI Engineer Tech Lead & Team Lead: 1 hour
• Take-home challenge: ~ 4 hours of work
• Final Interview - take-home challenge presentation with CTO and AI Engineer Team Lead and Tech Lead: 1 hour

We are building one of the most powerful live-streaming platforms, already connecting 400K+ monthly active users through live events, interactive video chats, and real-time community experiences. Our mission is bold: bring joy, fight loneliness, and deliver safe, ad-free entertainment that keeps people coming back.
This is a complex, fast-moving space, and we love it that way! So, you will join a passionate, expert team tackling everything from scaling AI-powered recommendations to launching high-impact, data-driven features that boost monetization and engagement. Every idea counts here, and every release reaches a massive global audience.
We are now expanding into Arab countries and Europe, enhancing content quality, and rolling out new features to keep users hooked. We are among the Top 5 streaming products in the US and rank in the Top 10 worldwide. Our next milestone: break into the global Top 5, and we are moving fast to make it happen.

About the role: In this role, you will strengthen our product analytics by bringing senior-level expertise in statistical analysis, retention analytics, and experimentation. From your first weeks, you’ll dive into our product, data pipelines, and key metrics, delivering deep insights into retention and monetization, and independently running A/B tests to shape decisions at scale. Your input will help refine analytical processes and frameworks, directly influencing product strategy. With the chance to grow horizontally through diverse tasks, and to be involved in many of the company’s key processes, you’ll see the tangible impact of your work across the business.

In this role, you will

• Drive deep-dive analyses of user behaviour, retention, and monetization
• Independently design, monitor, and evaluate A/B tests and experiments
• Build, maintain, and improve analytical frameworks, dashboards, and reporting systems to ensure clarity and efficiency across the team
• Collaborate closely with product managers to define success metrics, uncover growth opportunities, and shape the product strategy
• Identify gaps and inefficiencies in current processes and elevate the team’s analytical capabilities by proposing smart improvements
• Ensure all product research meets the highest standards of statistical rigour, reliability, and scalability

It’s all about you

• Experience in product or marketing analytics and working cross-functionally with product, marketing, and engineering teams
• Advanced SQL skills and a solid foundation in statistics, including hypothesis testing, causal inference, regression, and retention/survival analysis
• Proven track record in product analytics, ideally in transactional or subscription-based business models, with experience in designing and evaluating A/B tests
• Ownership mindset, strong communication skills and structural thinking that will allow you to  translate complex data into actionable business recommendations for both technical and non-technical stakeholders
   

Would be a plus

• Experience with GBQ, Python and R for analytics
• Familiarity with cohort analysis, LTV modelling, and churn prediction
• Regular usage of AI tools like ChatGPT, Claude AI, Gemini, or similar to support your work

What we offer

Care and support: 

• 20 paid vacation days, 15 sick days, and 6 additional days off for family events
• Up to 10 additional days off for public holidays
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Financial and legal support
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine
   

Comfortable working environment:

• Work from our Kyiv hub or remotely with a flexible schedule 
• Workspace rental reimbursement in other cities and abroad
• Modern equipment or depreciation of your own tools
   

Investment in your future:

• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
• 70% of our heads and leads have grown into their roles here – so can you!
• Performance-oriented reviews and Individual Development Plans (IDPs)
• Reimbursement for professional courses and English classes
• Corporate library, book club, and knowledge-sharing events
   

Hiring process

• Intro call
• Technical interview
• Reference check
• Offer

About the Role

The company is seeking a Creative AI Specialist with strong motivation, curiosity, and a passion for learning. This role is ideal for someone early in their career who wants to grow at the intersection of design, marketing, AI, and product. This position focuses on creating assets that perform, learning fast, and becoming part of a team building next-generation creative workflows. You will design and generate CRM and marketing creatives using a combination of traditional design tools and emerging AI workflows, working closely with Customer Success, Product, internal teams, and clients to test, iterate, and improve creative and product performance. This is a client-facing role requiring excellent English communication skills and availability to work during US time zone hours.

Responsibilities

• Create email and CRM assets at scale
• Design visuals for social media and lifecycle campaigns
• Learn and apply AI-driven creative workflows, including prompting, iteration, and automation
• Use tools like ComfyUI and other AI platforms to generate and refine visual content
• Support A/B testing processes and optimize creatives based on performance data
• Translate briefs into clear, compelling visual solutions
• Communicate directly with clients to understand briefs, gather feedback, clarify requirements, and support creative execution
• Participate in client-facing workflows, including creative reviews, iteration cycles, and campaign-related discussions
• Collaborate closely with Customer Success, Product, and internal teams to improve creative and product performance
• Operate effectively during US time zone working hours to support client needs and internal collaboration
• Balance speed and quality in a fast-paced environment

• Continuously learn new tools, workflows, and product capabilities

   

Requirements

• 3–5 years of experience in graphic design, marketing design, or creative roles — or exceptional junior talent with a strong portfolio
• High-level English, both written and spoken
• Strong client-facing communication skills and comfort working directly with customers
• Ability to manage feedback, clarify requirements, and communicate creative decisions professionally
• Availability to work during US time zone hours
• Strong motivation to grow in the worlds of AI, product, and performance marketing
• Curiosity and eagerness to learn new tools quickly
• A proactive, hands-on startup mentality
• High level of visual taste and attention to detail
• Ability to move fast, adapt, and solve problems independently
• Data-driven mindset — you care about outcomes, not just aesthetics
• Strong communication skills and ability to work with clients and cross-functional teams
• Background in advertising or performance marketing — an advantage

• Prior experience with AI tools — a plus, but not required

   

About the Company

The company is a fast-growing technology company building AI-powered solutions for marketing and customer engagement. Its platform helps brands create, optimize, and scale personalized creative content across lifecycle and CRM channels using modern AI workflows and data-driven processes. The company operates at the intersection of creativity, performance marketing, and product technology, working with international clients and rapidly evolving tools.

We are looking for a strong Anti-Fraud Lead to join a new iGaming project at the pre-launch stage.
⭐ About BetVam

BetVam is a new licensed Ukrainian iGaming operator currently in the active launch phase and building its core business processes from the ground up.

We are creating a modern betting and casino platform focused on long-term growth, excellent customer experience, operational excellence, and full compliance within a regulated market.

As we prepare for launch, we are looking for an experienced Anti-Fraud Lead who will establish and manage the company’s fraud prevention framework, helping protect the business from financial losses, bonus abuse, payment fraud, account takeovers, and other operational risks.
♠️ Position Details

Location: Kyiv (Office / Hybrid)

Employment Type: Full-time

Start Date: ASAP

Project Stage: Pre-launch, Product Launch Phase
What You Will Do

• Build and lead the anti-fraud function from the ground up during the project launch phase.
• Develop fraud prevention strategies, policies, and operational procedures across sportsbook and casino products.
• Implement fraud monitoring processes covering deposits, withdrawals, bonuses, promotions, player behavior, and payment transactions.
• Design and optimize fraud detection rules, risk scoring models, and alert systems.
• Investigate suspicious activities, fraudulent transactions, multi-accounting, bonus abuse, payment fraud, and account takeover attempts.
• Work closely with Payments, Risk, Compliance, AML, Customer Support, Product, and Finance teams to mitigate operational risks.
• Monitor key fraud metrics and prepare regular reports for management.
• Analyze fraud patterns and emerging threats and recommend proactive solutions.
• Collaborate with external providers and anti-fraud vendors to improve fraud detection capabilities.
• Participate in selecting and implementing fraud prevention tools and technologies.
• Establish fraud-related KPIs, reporting frameworks, and escalation procedures.
• Support regulatory compliance requirements related to fraud prevention and player protection.
• Train internal teams on fraud awareness, fraud indicators, and best practices.
  What Is Important for Us
• 3+ years of experience in Anti-Fraud, Risk Management, Fraud Prevention, or Payment Risk within the iGaming industry.
• Strong understanding of sportsbook and casino fraud schemes, bonus abuse, multi-accounting, chargebacks, payment fraud, and account security threats.
• Experience working with anti-fraud systems, fraud monitoring tools, and risk management platforms.
• Strong analytical skills with the ability to identify fraud patterns and investigate complex cases.
• Experience building fraud processes, rules, and operational controls.
• Understanding of payment processing, PSPs, chargebacks, and transaction monitoring.
• Knowledge of AML, KYC, responsible gaming, and regulatory requirements within regulated gambling markets.
• Advanced Excel skills and experience working with reporting and analytics tools.
• Ability to make risk-based decisions in a fast-paced environment.
• Strong communication and stakeholder management skills.
• Ukrainian and/or Russian fluency.
• English proficiency at Intermediate (B2) level or higher.
• Who We Are Looking For
• We are looking for a proactive and analytical professional who combines strong investigative skills with a business-oriented mindset.
• The ideal candidate has hands-on experience in iGaming fraud prevention, understands how fraud impacts revenue and customer experience, and can build effective anti-fraud processes from scratch. You should be comfortable working independently, making data-driven decisions, and collaborating across multiple departments during a fast-paced product launch.
• This role is ideal for someone who wants to take ownership of the entire anti-fraud function and play a key role in building a secure, scalable, and successful iGaming operation from day one.

Team Summary

Our distributed team is looking for an experienced Applied Scientist with a strong background in Large Language models to develop high-performance Generative AI features across Cloud and Edge environments.

Job Summary

In this role you will drive the transition from research to production by optimizing local inference through model compression and quantization for private, real-time Edge performance, while also engineering scalable RAG architectures and multi-agent systems for Cloud deployment. Your daily responsibilities encompass the full research lifecycle, including formulating hypotheses, generating synthetic datasets, fine-tuning LLMs, and validating safety and alignment, ultimately culminating in technical reports.

Responsibilities and Duties

— Design and implement advanced methods in prompt orchestration, fine-tuning (SFT/RLHF/DPO), and autonomous agentic workflows
— Curate high-quality training data from large-scale text and multi-modal sources
— Identify patterns in model hallucinations and visualize evaluation metrics for clear interpretation
— Tune hyperparameters and improve inference speed/accuracy through PEFT (LoRA/QLoRA) and advanced prompt engineering
— Collaborate with Product and Data Engineering teams to seamlessly integrate LLM features into the broader ecosystem
— Track and report progress using industry-standard benchmarks (MMLU, HumanEval, etc.) and custom internal KPIs
— Stay at the forefront of the field (e.g., State Space Models, new Transformer variants) and evaluate cutting-edge techniques for production readiness
— Engage in continuous technical growth and mentor junior colleagues to elevate the team's expertise

Qualifications and Skills

— 4+ years of commercial experience in Machine Learning, with a specific focus on the NLP or LLM domain
— Strong knowledge of Python3, NumPy, pandas, and modern text-processing libraries, PyTorch and Hugging Face (Transformers, PEFT, Accelerate)
— Proficiency in PEFT/LoRA and Reinforcement Learning techniques
— Deep understanding of attention mechanisms, tokenization, context window management, and embedding spaces 
— Practical experience in at least one of the following: Retrieval-Augmented Generation (RAG), — Fine-tuning, or Agentic frameworks
— Proven ability to manage and analyze massive datasets (>100GB) across text, image, and audio formats
— Hands-on experience crafting high-fidelity datasets and building robust data pipelines
— Expertise in prompt engineering, agentic framework design, and LLM pipeline orchestration
— Experience deploying LLMs to production environments using Triton Inference Server, vLLM, TGI, or ONNX
— Good written and spoken English

Nice to have

— Practical experience with Pinecone, Weaviate, Milvus, or Chroma 
— Advanced quantization (GGUF, AWQ, EXL2), pruning, and knowledge distillation
— Experience with LangChain, LlamaIndex, or AutoGen
— Basic understanding of web/client-server architecture and streaming API responses (Asyncio, aiohttp)
— Familiarity with RAGAS, DeepEval, or G-Eval
— Experience using Docker, Kubernetes, and cloud GPU orchestration (e.g., Run:ai, Lambda Labs)
— Knowledge of C++, Triton, or CUDA for custom kernel development

We offer multiple benefits that include

— The environment of equal opportunities, transparent and value-based corporate culture and an individual approach to each team member
— Competitive compensation and perks. Annual performance review
— Opportunity to receive a Performance Bonus for your individual achievements and a Loyalty Bonus recognizing your dedication to the company
— Gig-contract
— 21 paid vacation days per year, paid public holidays according to the Ukrainian legislation
— Development opportunities like corporate courses, knowledge hubs, and free English classes as well as educational leaves
— Medical insurance is provided from day one. Sick leaves and medical leaves are available
— Remote working mode is available within Ukraine only
— Free meals, fruits, and snacks when working in the office.

Team Summary

We are a distributed team that develops motion detection features for both Cloud and Edge environments, ensuring high performance and adaptability for diverse deployment needs. You can choose to focus on either Edge or Cloud solutions. Those interested in Edge will work on advanced computer vision algorithms and sensor-based detection methods to enable efficient real-time performance directly on devices. Those focusing on Cloud will develop scalable, high-performance motion detection solutions using cloud-based technologies, optimizing collaboration between Edge and Cloud for the best results.

You will be responsible for day-to-day research tasks, such as setting up hypotheses, gathering data for experiments, training and validating ML models, validating results, and writing a paper on your results.

Responsibilities and Duties

— Develop innovative machine learning algorithms. Implement advanced methods and technologies in model development

— Analyze large datasets to identify correlations and patterns. Visualize research results for clearer interpretation

— Tune hyperparameters and optimize algorithms. Improve models to enhance their performance and accuracy

— Provide consultations and collaborate with colleagues from other departments

— Report progress and project achievements to management

— Explore and evaluate new technologies in the field of machine learning. Implement cutting-edge ideas and techniques into production processes

— Engage in continuous self-improvement and technical skill development. Train and mentor junior colleagues to enhance the overall competence level within the team

Qualifications and Skills

— 4+ years in machine learning (computer vision domain)

— Practical experience in at least one of the following problems: classification, detection, segmentation

— Python3, NumPy, scikit-learn, pandas, SciPy

— Deep learning frameworks: PyTorch

— Experience in deploying machine learning models to production

— Good understanding of machine learning and deep learning concepts

— Good written and spoken English

Nice to have

— Practical experience with GANs, VAEs

— Probabilistic programming and bayesian framework

— Model optimization: pruning, quantization, knowledge distillation

— Basic understanding of web and client-server architecture

— asyncio, aiohttp, and other async libraries for back-end

— Basic understanding of Big Data, understanding of difference between MapReduce and in-memory processing

— Algorithms, data structures

— SQL, NoSQL

— Docker, Kubernetes, Kubeflow

— C++, Bash

We offer multiple benefits that include

— The environment of equal opportunities, transparent and value-based corporate culture and an individual approach to each team member

— Competitive compensation and perks

— Gig-contract

— 21 paid vacation days per year, paid public holidays according to the Ukrainian legislation

— Development opportunities like corporate courses, knowledge hubs, and free English classes as well as educational leaves

— Medical insurance is provided from day one. Sick leaves and medical leaves are available

— Remote working mode is available within Ukraine only

— Free meals, fruits, and snacks when working in the office.

Senior Low level database experience, C++ | Full-time |

About the Project

We are looking for a Senior Database Systems Engineer with deep expertise in low-level database architecture and internals.

This is not a typical backend development role. We are seeking an engineer who understands how databases work under the hood and has hands-on experience with core database components such as transaction processing, storage engines, query planning, indexing, and performance optimization.

Required Skills

• Strong commercial experience with C++
• Deep understanding of database internals
• Experience working with low-level database components, including:
  • Transaction Management (ACID, concurrency control, MVCC)
  • Storage Layer / Storage Engines
  • Query Planning and Query Optimization
  • Query Execution
  • Indexing Structures (B-Tree, LSM Tree, etc.)
  • Memory Management
  • Performance Optimization
• Strong debugging and troubleshooting skills
• Experience analyzing and improving database performance
• Understanding of distributed systems principles

Nice to Have

• Experience with:
  • PostgreSQL
  • MySQL
  • ClickHouse
  • RocksDB
  • LevelDB
  • DuckDB
  • ScyllaDB
  • CockroachDB
  • TiDB
• Database kernel development experience
• Experience building or modifying query execution engines
• Familiarity with database compilers and execution frameworks
• Contributions to open-source database projects

Responsibilities

• Design and develop low-level database components
• Improve storage and transaction processing mechanisms
• Optimize query planning and execution performance
• Work on indexing, concurrency control, and data access layers
• Investigate and resolve performance bottlenecks
• Contribute to architecture decisions for high-performance data systems

 We are seeking an experienced Business Analyst to join ORIL full-time. You will work closely with our clients on exciting, long-term initiatives, driving project success while unlocking new opportunities to enhance your own skill set.
 

About the Project:
Our client is a US-based innovator providing a centralized data platform for multi-family real estate. The product uses BI and AI analytics to help operators optimize marketing spend and operational efficiency.
 

What will you do?

• Work closely with the Product team, developers, and QA to collect detailed information on feature functionality and integration.
• Conduct workshops for our clients to identify their business needs and propose effective solutions and improvement strategies.
• Participate in the discovery phase of projects to gather detailed business requirements.
• Document business requirements and create detailed functional specifications  for the technical team.
• Create detailed documentation including business requirements, process flows, and user stories.
• Collaborate with development teams to ensure requirements are understood and implemented correctly.
• Work closely with business stakeholders to understand their needs, objectives, and challenges.
• Stay updated on industry trends and technologies relevant to our clients.

What are we looking for?

• Minimum of 5 years of experience as a Business Analyst.
• Fluent communication in English (preferably Advanced level).
• Experience with Proptech/Real Estate products.
• Strong facilitation skills.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication skills as well as business presentation skills.
• Basic knowledge of software development processes and methodologies.
• Competence in conducting a range of business analysis workshops.

Will be a plus:

• Previous involvement in U.S.-based projects.
• Experience with AI products.

We Offer:

• Ability to grow with an ambitious niche-focused company
• Competitive compensation;
• Accounting Support Services;
• Hybrid work model (60/40 remote/office) based in our Lviv office;
• Comprehensive day-off policy, including public holidays and special events;
• Education & certification budget + corporate education events and trainings;
• Wellness budget;
• The environment and culture that promotes personal and team development.

Application Process:

• CV pre-screening
• Culture Index Test
• Initial screening: call with Recruiter

• Main interview
   

  Are you passionate about bridging the gap between business goals and technical execution?Bring your analytical mindset and strategic vision to our growing team. Let’s build something great together!

The company is building a healthcare-focused adtech platform that enables precise targeting of healthcare professionals using large-scale data and AI.

We’re looking for a Senior Data Analyst to define how we measure data quality, evaluate AI/LLM-based scoring, and generate insights that support product, sales, and media buying teams. You’ll work with 70+ TB of data, design evaluation frameworks from scratch, and help optimize performance, cost, and data pipelines.

Responsibilities

• Measurement & Evaluation Foundations: Define how we measure what matters — data quality, the accuracy of our AI scoring, how many records actually get matched to usable signals, cost per outcome. Build the feedback loops that tell us whether a change makes the system better or worse.

• Scoring Intelligence (co-owned with engineers): Partner with the engineering team on the LLM-based scoring system. You will build the evaluation framework for AI scoring, run experiments comparing prompts, models, and approaches against a baseline, and make data-backed calls on where we invest next. Our AI scoring system is actively evolving — you will shape how we measure and improve it.

• Client-related Analysis: Own the analytical side of the work that internal sales and media-buying teams bring in from pharma clients — how reachable a target audience is, how good the data looks, why a campaign performed the way it did. You turn their questions into data-backed answers they can use. Identity is a product core; the analyst works with internal teams, not with clients directly.

• Cost and Value Analysis: Turn cost and value into product decisions. Which data sources and enrichment scenarios pay off, where we overspend, what to cache, what to cut. We operate a mix of free owned data and paid external providers — the decisions have real dollar impact.

• Active AI Usage: Use Claude Code and modern AI engineering tools to multiply your own output. Automate the repetitive parts of analysis so you can focus on the decisions. We provide Claude Code licenses and expect active daily use.

• Data Quality Response: When pipeline output drifts, a provider degrades, or upstream data shifts, you notice first, diagnose the root cause, and drive the fix. You treat data quality as a product, not a ticket queue.

Requirements

• 5+ years as a Data Analyst, Analytics Engineer, or Data Scientist in a product team (not consultancy, not BI-only roles).
• Advanced SQL at TB scale — BigQuery, Snowflake, or equivalent warehouse. You can read and write complex queries on tens of terabytes without someone pre-modelling the data for you.
• Python for analysis at a working level — pandas, Jupyter, or modern equivalents. Comfortable putting together a small script or helper when an existing tool doesn't cover your case.
• Built measurement or evaluation frameworks from scratch for systems that had no baseline. You are comfortable defining what and how to measure, not consuming someone else's KPI.
• Comfort with probabilistic systems. You understand that noise is inherent and 100% accuracy is not the goal — scoring, matching, ranking.
• AI-native workflow. You already use Claude Code, ChatGPT, Copilot, or similar AI tools daily and integrate them into your analytical process.
• English: B2+ (Upper-Intermediate) or higher.

Strong plus (one or more)

• LLM evaluation experience — A/B testing AI-powered features, output scoring, prompt iteration with measurable outcomes.
• Identity resolution / identity graph experience — adtech, martech, or customer data platform context (LiveIntent, LiveRamp, Epsilon, Experian Marketing, Acxiom, Merkle, or similar).
• Healthcare or pharma data — working with NPI, HCP-level data, healthcare taxonomies, pharma targeting.

Nice to have

• Experience running controlled experiments on data pipelines.
• Prompt engineering or structured LLM prompt design.
• Prior work in AI-first product companies.

In Competera, we are building a place where optimal pricing decisions can be made easily. We believe that AI technologies will soon drive all challenging decisions and are capable of helping humans be better.
We are now looking for an Integration Engineer to make the Integration process at Competera clear, consistent, and repeatable.

You could be a perfect match for the position if
You want to:

• Organize technical integration between Competera Pricing Platform and customers;
• Communicate with customers’ IT and commercial teams in their business hours;
• Supervise integration partners (contractors) and assist them with ETL creation and support;
• Maintain data validation (analyze, validate, troubleshoot data issues) and suggest options for process improvement and automation.

You have:

• SQL (mid +);
• Upper-intermediate level of English;
• Transformation from business request to technical requirements;
• Presentation and business communications skills Critical thinking, problem-solving, Quick learner;

• Ability to work under minimal guidance;

  Requirements (extra):

• Basic Core Python, Airflow;
• Experience with retail, enterprise customers.

You’re gonna love it, and here’s why:

• Rich innovative software stack, freedom to choose the best suitable technologies;
• Remote-first ideology: freedom to operate from the home office or any suitable coworking;
• Flexible working hours (we start from 8 to 11 am) and no time tracking systems on;
• Regular performance and compensation reviews;
• Recurrent 1-1s and measurable OKRs;
• In-depth onboarding with a clear success track;
• Competera covers 70% of your training/course fee;
• 20 vacation days, 15 days off, and up to one week of paid Christmas holidays;
• 20 business days of sick leave;
• Partial medical insurance coverage.

Drive innovations with us. Be a Competerian.

🌍 Adaptiq, on behalf of AppsFlyer, is looking for a Data Engineer

🧩 About AppsFlyer:

AppsFlyer provides a SaaS marketing analytics platform that measures and optimizes marketing activities across mobile, web, CTV, PC, and console applications. AppsFlyer is known for its massive backend production. At any given moment, thousands of servers are consuming 150+ billion mobile app events, crunching our users’ data, serving requests, and communicating on a massive scale.

To maintain the universe we call AppsFlyer, we practice modern production operations with a complete self-serve CI/CD platform, a highly integrated observability stack for our micro-services, backends, and infrastructure, a culture of ownership and eagerness for quality.

The Analytics group is responsible for showing our clients the stories their data is telling. Through complex aggregation, mission-tailored analytical databases, and carefully crafted APIs we are able to provide slice-and-dice analysis in our beautiful dashboards and through the use of external integrations.

🌟 About the Role:

As a Data Engineer within the Analytics group at AppsFlyer, you will own the end-to-end journey of event data - from ingestion and processing to storage, modeling, and API delivery. 

You will design and implement data pipelines using Apache Airflow and Spark, choose and optimize analytical databases, and integrate new components in our hybrid microservices environment. You will collaborate with product managers and cross-functional teams, troubleshoot production incidents, and influence our migration toward Google Cloud and BigQuery. This role offers autonomy over feature design, real impact on a platform handling billions of events daily, and the chance to contribute to open-source projects or speak at industry forums.

📈 Key Responsibilities:

• Develop and maintain data processing pipelines using Apache Airflow, Scala Spark or PySpark.
• Select, model and optimize analytical databases for high-throughput, low-latency queries.
• Design and implement backend services and APIs for data ingestion, aggregation and client consumption.
• Monitor system performance and stability; diagnose and resolve production issues.
• Collaborate with product managers and engineers to plan and deliver complex features.
• Drive migration efforts to Google Cloud Platform, BigQuery and modern data tooling.
• Participate in on-call rotations, alerting via PagerDuty and incident response procedures.
• Document system architecture and data flows; maintain code quality and tests.

💻 Required Competence and Skills:

• 3+ years of software development experience with a focus on data engineering.
• Practical experience with Apache Spark (Scala or PySpark) and Apache Airflow.
• Experience building and maintaining high-throughput, low-latency distributed data systems.
• Strong SQL skills and experience with data modeling for analytics workloads.
• Familiarity with JVM languages (Scala, Java, Clojure) or Python for backend development.
• Experience with cloud platforms - preferably GCP - and data warehouses such as BigQuery.
• Proven ownership of production systems and on-call incident management.
• Excellent communication skills in English for distributed teamwork.
• B.Sc. in Computer Science or equivalent practical experience.

➕ Nice to Have:

• Production experience with large-scale databases and ETL tooling.
• Hands-on background in Go or Clojure backend services.
• Experience with production-grade BigQuery ETL and data pipelines.
• Contribution to open-source projects or public speaking at meetups/conferences.
• An “AI mindset” - familiarity with tools like GitHub Copilot and emerging AI workflows.

🚀 Benefits Package includes:

• Health Insurance
• Paid Unlimited Vacation Days + all national holidays + additional recharge days
• Meals Reimbursement
• Sport Reimbursement
• Breakfast in the office
• Mental health program
• Team building, happy hours, and other team activities
• Paid sick days
• Snacks, fruits & ice-cold beer
• All new team members are provided with a brand-new Mac laptop with 2 monitors and a Starter package

Senior Data Engineer / Platform Engineer

Location: Remote
Engagement: Full-time, 2-month contract with strong potential for long-term extension (full-time or part-time)

About the Company

Our client is an innovative AI-driven product company building intelligent agents that automate and enhance customer interactions across multiple channels. As the company continues to scale, they are looking for an experienced Senior Data Engineer / Platform Engineer to strengthen and evolve their data infrastructure.

About the Role

We are seeking a highly skilled Senior Data Engineer / Platform Engineer to design, build, and maintain reliable, scalable data infrastructure and pipelines across the analytics and product data ecosystem.

In this role, you will play a key part in ensuring that business and product teams have access to accurate, trustworthy, and actionable data while improving the overall reliability, observability, and scalability of the company's data platform.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines and workflows.
• Develop and optimize data infrastructure supporting analytics and product use cases.
• Improve data quality, reliability, monitoring, and observability practices.
• Manage and enhance integrations between internal and external systems.
• Collaborate closely with Engineering, Product, and Implementation teams.
• Ensure data consistency, accessibility, and governance across the organization.
• Support and optimize production-grade data systems and processes.
• Contribute to the ongoing evolution of the company's data platform architecture.

Requirements

• 5+ years of experience in Data Engineering, Platform Engineering, or a related field.
• Proven experience building and maintaining production-grade data systems.
• Strong hands-on experience with cloud data platforms, preferably Google Cloud Platform (GCP).
• Advanced SQL expertise.
• Extensive experience designing, developing, and supporting ETL/ELT pipelines.
• Experience with data orchestration and workflow management tools.
• Strong knowledge of Microsoft SQL Server.
• Hands-on experience with ClickHouse.
• Experience working with Fivetran.
• Strong understanding of data quality, monitoring, and observability best practices.
• Excellent verbal and written English communication skills.
• Ability to work independently in a fast-paced, dynamic environment.

Nice to Have

• Experience supporting modern analytics platforms and data ecosystems.
• Background working within SaaS or AI-driven product companies.
• Familiarity with large-scale data processing and optimization.

What We Offer

• Opportunity to work with a cutting-edge AI product company.
• High-impact role with ownership over critical data infrastructure.
• Fully remote work environment.
• Fast-moving and collaborative engineering culture.
• Strong potential for long-term engagement beyond the initial contract period.

Hello everyone 👋

At Intobi, we're a software and product development company passionate about driving innovation and progress.

We help our clients succeed by delivering custom-built tech solutions designed to meet their unique needs.

Our expertise lies in developing cutting-edge Web and Mobile applications.

We’re looking for a success-driven Database Administrator for one of our clients.

Full-time, long-term position with the flexibility to work either from the office or remotely.

Responsibilities:

— Act as the primary point of contact for all MongoDB-related topics, including reviewing and approving configuration and setup changes.

— Maintain and support MongoDB databases across both Atlas and on-prem environments.

— Maintain and support SQL Server and PostgreSQL databases in on-prem and AWS environments.

— Monitor database systems for health, performance, and availability.

— Advise software engineers on SQL query optimization and database schema design.

— Minimize database downtime and manage High Availability (HA) and Disaster Recovery (DR) strategies.

— Plan and contribute to long-term scalability and database architecture.

— Implement database changes, apply patches, and manage version upgrades.

— Assist with building and maintaining data extraction pipelines from MongoDB and SQL Server.

— Participate in the on-call rotation to support production systems.

Requirements:

— 4+ years of combined experience across data platforms, including at least 2 years in a DBA role (MongoDB and relational databases, infrastructure, and application support).

— Hands-on data engineering experience (Airflow preferred).

— AWS experience (minimum 1 year).

— Advanced T-SQL development skills.

— Proficiency with Git and modern code management workflows.

— Strong understanding of backup, recovery, security, and data integrity principles.

— Excellent problem-solving skills with strong algorithmic thinking.

— Ability to work effectively in a fast-paced environment and meet deadlines.

— Fluent in English.

Nice to Have:

— Experience with dbatools, Redgate SQL Toolbelt, Coralogix.

— Exposure to CI/CD pipelines and Liquibase.

What we offer:

— Competitive salary;

— Paid vacation and sick leaves;

— Paid day off (Ukrainian holidays);

— Ability to work from our cozy office;

— 8 hours working day, 5 days a week;

— Career growth potential;

— Free snacks, fruits, and drinks;

— Friendly team and corporate events.

Please send your CV here or via email

Should the first stage be successfully completed, you’ll be invited to a personal interview.