Jobs at Djinni

We are looking for an experienced QA Engineer (Manual & Automation) to join a web application project in the agriculture domain.

The role involves a combination of manual and automated testing, with a strong emphasis on building and maintaining test automation using modern tools.

Responsibilities:

• Perform comprehensive manual testing of web applications (functional, regression, cross-browser)
• Develop and maintain automated tests using Playwright and TypeScript
• Create, document, and execute test scenarios using TestRail
• Conduct API testing using Postman or similar tools
• Ensure cross-browser compatibility (including but not limited to Google Chrome)
• Identify, document, and track bugs, and verify fixes

• Collaborate with the team to improve overall product quality

   

Key Requirements:

• Strong experience in both manual and automated testing
• Hands-on experience with Playwright and TypeScript
• Experience with API testing (Postman or similar tools)
• Solid background in testing web applications
• Experience with cross-browser testing
• Experience creating and maintaining test cases and documentation
• High attention to detail and strong problem-solving skills

• Ability to work in CET/CEST time zone

   

Nice to Have:

• Experience with Playwright-based automation frameworks
• Familiarity with TestRail or similar test management tools
• Understanding of API testing workflows
• Experience with QA tools, bug tracking systems, and testing processes
• Strong communication skills and experience working in remote teams

We are looking for a Computer Vision Engineer with a solid foundation in classical computer vision and hands-on experience implementing low-level CV algorithms. The ideal candidate will have exposure to SLAM, Visual-Inertial Odometry (VIO), and sensor fusion, with responsibilities adjusted according to experience level.

Responsibilities: 

• Implement and optimize low-level computer vision algorithms under guidance
• Contribute to modules related to feature extraction, tracking, matching, and geometric processing
• Assist in the integration and testing of SLAM/VIO components
• Perform experiments, analyze results, and help prepare reports
• Work closely with senior engineers to explore and apply recent CV research.

Required Qualifications:

• 1+ years of hands-on experience with classical computer vision
• Basic understanding of geometric computer vision principles
• Experience implementing low-level CV algorithms (e.g., filtering, feature detection, camera models)
• Familiarity with SLAM or VIO concepts
• Working knowledge of C++ and Linux
• Ability to learn quickly and navigate recent CV researc
• Degree or ongoing studies in a STEM field.

Nice to Have:

• Experience with Python
• Knowledge of neural networks and CV libraries/frameworks (OpenCV, NumPy, PyTorch, ONNX, Eigen, etc.)
• Experience with sensor fusion techniques
• Familiarity with embedded or real-time systems

We are looking for an Autonomous systems engineer with a background in computer vision, control theory and mathematical modelling. The ideal candidate will have a strong math background, experience with autonomous systems, modelling and control design. 

Required Qualifications: 

• 2 years of hands-on experience with classical computer vision
• Understanding of geometrical computer vision principles 
• System identification and control
• Sensor fusion/signal processing
• Proficiency in C++ and/or experience with Python
• Experience with Linux and single-board computers
• Experience with PID controllers tuning in embedded or autonomous systems
• Ability to quickly navigate through recent research and trends in computer vision and autonomous systems
• Relevant work experience or education in STEM field

Nice to Have:

• Experience with SLAM and/or Visual-Inertial Odometry (VIO)
• Matlab
• Experience with PX4, betaflight, Ardupilot 
• Familiarity with neural networks and common CV frameworks/libraries (OpenCV, NumPy, PyTorch, ONNX, Eigen, etc.)
• Experience with simulation tools (Gazebo, AirSim)
• SITL, HITL testing
• ROS2

We’re a recruitment agency working with space companies and R&D teams. These are hard-to-fill roles with high standards and multi-stage interview processes.

Example roles you’ll work on

• SAR System Engineer with AI to work in Berlin 
• PHP - NL 
• Engineering Manager RF/PCB - Finland

What you will do (freelance recruiter scope)

• Source candidates (LinkedIn, communities, job boards, referrals, your network)
• Run first outreach + initial screening
• Collect required answers in writing or via a quick call (we provide questions/template)
• If the candidate matches requirements — hand off to our team (CV + answers + short recruiter summary)
• We validate and submit to the client
• You stay in touch with the candidate and with us to move them through interview stages until offer/start

Requirements

• Proven experience in IT/Tech recruitment (agency or in-house)
• Strong sourcing skills (LinkedIn + Boolean)
• Solid English (messaging + short screening calls)
• Comfortable working with complex profiles and international pipelines
• Reliable communication, fast follow-ups, clean reporting

Nice to have: Space/Defense/Embedded/SAR-related hiring experience; EU/Canada hiring exposure

Bonus & payment terms

• €1,000 – €2,000 – €3,000 per successful hire
• Payment split:
  • 50% after candidate’s start date
  • 50% after passing probation (3 months)

How to apply

Please share:

• Short intro (your recruiting background)
• 2–3 examples of roles you’ve closed (stack + geography)
• Your sourcing channels
• Weekly availability (hours/time zone)

Senior Full-Stack Engineer (AI Products)

26 Lines Of Code  is looking for a Senior Full-Stack Engineer who doesn’t just code, but leads projects and drives execution.

🔹 What You’ll Do

• Lead projects end-to-end (architecture → delivery).
• Design scalable, AI-powered solutions.
• Connect product vision with technical execution.
• Communicate trade-offs, timelines, and risks to clients.
• Mentor engineers and maintain high code quality.
• Work with microservices and REST APIs.
• Handle authentication (OAuth, SAML, SSO).

🔹 Requirements

• 5+ years of Full-Stack experience.
• Strong React.js, Node.js, JavaScript, TypeScript.
• SQL (MySQL/PostgreSQL) + Redis or other NoSQL.
• Cloud platforms (AWS / Azure / GCP).
• Solid knowledge of design patterns & best practices.
• Strong communication skills (English B2+).
• Availability for overlap with Eastern USA time zone.

🚫 Not a fit if you’re looking for a pure coding role without ownership.

• Full-time
• Remote
• B2B/ UKR FOP
• Long term project

We are working with a forward-thinking startup that puts its products first in finding an experienced Senior DevOps/Platform Engineer to help establish and grow the platform that their product teams are building upon.

This is a highly hands-on role; we’re looking for someone who enjoys solving real production challenges, working close to the code, and continuously improving the developer experience across the engineering organization.

The position involves a lot of platform engineering, infrastructure reliability, and product development. This is an amazing fit for someone who loves fast-paced startup culture, craves ownership, and has a say in how products are developed.
 

What you’ll do:

• Design, build, and operate scalable cloud infrastructure on AWS
• Improve and maintain CI/CD pipelines, developer tooling, and deployment workflows
• Own observability across the platform: logging, metrics, tracing, dashboards, and alerting
• Partner closely with product engineers to improve developer productivity and production visibility
• Drive infrastructure and architectural decisions with a pragmatic startup mindset
• Continuously improve system reliability, performance, and operational efficiency
• Explore and implement practical AI tooling within engineering workflows

What we’re looking for:

• Strong hands-on experience with AWS infrastructure and production systems
• Deep understanding of networking, compute, containers, and orchestration
• Solid backend engineering background and experience shipping production software
• Experience building and operating observability systems for distributed applications
• Proven ability to debug complex production issues and improve system reliability
• Experience working in fast-paced startup environments
• Strong ownership mindset and ability to operate autonomously
• Daily hands-on coding and infrastructure work
• Experience using AI tools in software engineering workflows

Nice to have:

• Experience building internal developer platforms
• Exposure to ML/AI infrastructure or GPU workloads
• Open-source contributions or experience with observability tooling

Why this opportunity:

• High-impact role with significant ownership and autonomy
• Opportunity to shape platform engineering from the ground up
• Startup environment where your work directly influences product velocity and company growth
• Collaborative engineering culture focused on pragmatism, speed, and quality

Evoplay is a Ukrainian product IT company that complete B2B solutions for the online gaming industry.

Position Overview:

As a Jira and Confluence Administrator, you will be responsible for the administration, configuration, and maintenance of our Jira and Confluence instances. You will play a critical role in ensuring the smooth operation and optimal utilization of these platforms to support our teams in project management, collaboration, and knowledge sharing.

Key Responsibilities:

1. Platform Administration:

• Administer Jira and Confluence instances, including user management, permissions configuration, and customization of workflows, issue types, and fields. Jira (server and cloud), сonfluence, Bitbucket, Crowd)

• Perform regular maintenance tasks such as upgrades, patches, and backups to ensure system reliability and performance.

2. Configuration and Customization:

• Configure Jira projects and Confluence spaces to meet the specific requirements of our teams and projects.

• Customize Jira workflows, screens, and dashboards to streamline processes and enhance productivity.

3. Integration and Automation:

• Integrate Jira and Confluence with other tools and systems used within the organization to facilitate seamless data flow and collaboration.

• Implement automation rules and workflows using Jira and Confluence plugins to optimize task management and documentation processes.

4. User Training and Support:

• Provide training and support to users on Jira and Confluence functionality, best practices, and troubleshooting techniques.

• Serve as the primary point of contact for user inquiries and technical issues related to Jira and Confluence usage.

5. Corporate IT Services:

• Administer other corporate IT services such as Gitlab, LDAP, GCP.

• Ensure the proper functioning and integration of these services with other business applications and systems.

Qualifications:

• Experience in a similar position for 2 years.

• Experience with Atlassian stack:

- Jira

- Confluence

- Bitbucket

- Crowd

• Understanding of the functioning of Linux systems.

We offer:

• L&D center with courses for employees and top managers;

• Rotation program;

• Medical іnsurance;

• Paid leave;

• Sick days;

• Self-learning library, access to paid courses;

• Stable payments;

• Evoplay discount program;

• Flexible work schedule / remote work;

• Group discussions and individual sessions with a psychologist.

Middle Project Manager 
26 Lines Of Code is looking for an independent Middle Project Manager who is ready to take real ownership of delivery — including fixed-price projects, shared teams, and dynamic priorities.
This role is not a coordinator position. We expect a PM who can make decisions, manage constraints, and keep projects moving forward without constant supervision.
Responsibilities

• Own project delivery end-to-end: scope, timeline, communication, and outcomes
• Manage fixed-price and T&M projects, balancing scope, roadmap, and budget limitations
• Independently run client communication and expectation management
• Plan delivery considering shared developers across multiple projects
• Adjust plans proactively when priorities or resources change
• Maintain Jira structure, backlog clarity, and delivery visibility
• Identify risks early and drive practical solutions

Requirements

• 3+ years of Project Management experience in IT outsourcing/outstaffing
• Proven experience delivering fixed-price projects within budget constraints
• Ability to plan roadmaps under limited or shared resources
• Strong ownership mindset and decision-making skills
• Comfortable working in fast-changing delivery environments
• Solid Agile practices and confident Jira usage
• English — Upper-Intermediate+

Nice to have

• Experience with AI, SaaS, or CRM products
• Technical background or strong system thinking

• Experience working with distributed teams across time zones

   

What to expect from the role

• Multiple projects with shared team members
• Changing priorities and evolving scopes

• A delivery-focused environment where transparency and ownership matter more than formal processes

   

🎁 What We Offer:
Remote-friendly, full-time role with flexible working hours
21 vacation days + 5 paid sick days per year
Corporate English language courses
Supportive and professional team
A modern work environment with opportunities for growth
Involvement in large-scale and innovative outstaffing projects

Whats Up Partners is a product company operating brands in Tier-1 markets, founded in 2023. We have several brands in the iGaming niche, which we are actively developing and never stop improving.

We are currently looking for a proactive, communicative specialist with a desire to develop and grow for the position of VIP Manager / Account Manager.
 

Your Mission

As a VIP Manager, you’ll be the go-to person for our most valued players — building strong personal connections, ensuring a best-in-class experience, and driving long-term loyalty. You’ll combine top-tier customer service with data-driven insights to create tailored journeys that maximize retention, lifetime value, and overall player satisfaction.
 

 🔸 Your tasks will be:

• build and maintain strong personal relationships with VIP players via phone, chat, email, and messengers (Telegram/WhatsApp);
• create and manage personalized VIP journeys, from onboarding to retention and growth;
• use predictive analytics to identify key triggers (churn, win/loss patterns, LTV growth) and act proactively;
• design and manage exclusive bonus schemes, promotions, and tailored offers — always focusing on ROI;
• provide concierge-level support for VIP clients, ensuring quick resolutions and premium service;
• collaborate with internal teams (Marketing, Product, Payments) to deliver the best possible VIP experience;
• contribute to retention strategies and loyalty policies that keep players engaged;
• report on VIP performance, KPIs, and ROI while identifying new growth opportunities.
   

🔸 You are definitely right for us if you have:

• 1+ years of experience in the iGaming niche as an Account Manager or VIP Manager;
• deep understanding of player motivation, customer retention strategies, and KPIs in the iGaming niche;
• C1 level of English;
• Experience with CRM systems and communication platforms (e.g., Telegram, WhatsApp, email, LiveChat, Zendesk);
• Excellent communication skills, emotional intelligence, and a proactive approach;
• Ability to balance player satisfaction and business profitability.
   

🔸 Will be a plus:

• knowledge of additional languages, such as German or Greek, is a big plus;
• experience working with high-value players (€5k+);
• ability to work with Tableau or similar systems such as SuperSet.
   

🚀 What we offer:

• direct access to VIP players and advanced business analytics tools;
• working days: Wednesday through Sunday inclusive, Monday and Tuesday are days off (negotiable). Working hours: 2:00 p.m. to 11:00 p.m.;
• the opportunity to make reservations in Ukraine;
• competitive salary + performance-based bonuses (related to customer retention, LTV, and NGR);
• professional and career growth — you will work for a company that supports initiative, invests in development, and encourages growth within the team;
• interesting tasks that require creative thinking and non-standard solutions;
• a strong, respectful, and friendly team that values results and humanity;
• training and development: the opportunity to attend courses, trainings, and specialized events at the company's expense;
• paid sick leave and vacation.

Rock&Apps is looking for a Media Buyer who has experience working with ad networks (push, pop’s) to boost the team’s performance 🚀

Location: Remote or Warsaw office / hybrid 

Format: Full-time 

Seniority: Middle+ / Senior (We will assess your seniority not by years of experience, but by reviewing the case statistics you have worked with)

What you’ll do

- Develop and implement effective advertising strategies for highly competitive products and target markets, ensuring alignment with budgetary guidelines 

- Communication with partners + setting up workflows with new ones 

- Continuously analyze and optimize ad performance using metrics like CPA, CPC, CPM, and ROI to maximize return on investment and payback 

- Conduct competitors’ research, generating insights and presenting findings to stakeholders for data-driven decision-making 

- Collaborate with designers, developers, and other specialists to bring your creative ideas for ads and landing pages to life

What we’re looking for

- At least 3 year of experience working with add networks 

- Ability to analyze key metrics and work with models like CPA, CPC, CPM, CPI 

- Familiarity with leading global ad networks 

- Strong skills in working with spreadsheets and BI Tools 

- Experience managing >100k budgets in verticals with high competition 

- Responsibility, attention to detail, and accuracy 

- Positive mindset and challenging spirit to push boundaries

What we offer

- A fast-growing environment with minimal bureaucracy 

- Support for professional development 

- 15 paid vacation days 

- 15 paid sick days 

- 5 paid days off 

- Benefit bar

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the client:
Our client began its operations in 1996, originally manufacturing metal and glass architectural structures. Today, the company is a high-tech manufacturing complex that designs and produces turnstiles, road blockers, bollards, fireproof doors, gates, and hatches. The company has international offices in Kyiv, London, and Dubai, with 23 official brand representatives worldwide and a portfolio of 30,000+ completed projects across more than 100 countries.

About the role:
We are looking for a Lead Marketing Specialist to provide strategic leadership for the marketing team and processes, aimed at strengthening brand awareness globally. The primary focus is on building end-to-end analytics, implementing a unified communication strategy, and scaling client acquisition channels.

Requirements:
- 3+ years of experience in a marketing leadership role.
- Strong leadership skills and the ability to communicate effectively with a team.
- Hands-on experience in B2B markets with a deep understanding of client acquisition and retention tools.
- Proven track record in building and managing high-performing teams.
- Experience with digital tools (performance marketing, CRM, automation).
- Solid understanding of branding, positioning, and product management.
- Proactive, responsible, and result-oriented mindset.
- English proficiency at B1+ level or higher.

Key Responsibilities:
- Managing the marketing team and external contractors.
- Developing and implementing the company's overall marketing strategy.
- Team building, goal setting, and marketing performance management.
- Overseeing and managing operational marketing processes.
- Analyzing the market, competitors, and user behavior.
- Maintaining current communication channels and developing new ones.
- Boosting brand awareness in the international market.
- Preparing for participation in international exhibitions and industry events.
- Supporting and optimizing company websites.
- Maintaining a unified communication strategy (PR, Content, SMM, Websites).
- Establishing a KPI system and end-to-end analytics to evaluate marketing effectiveness.

What the client offers:
- Timely salary payments (twice a month).
- Official employment in accordance with Ukrainian legislation.
- Free shuttle service from Kharkivska metro station (Location: Bortnychi district, Kyiv).
- Access to a free gym.
- On-site meals at corporate rates (partially subsidized by the company)

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the client:
Our client began its operations in 1996, originally manufacturing metal and glass architectural structures. Today, the company is a high-tech manufacturing complex that designs and produces turnstiles, road blockers, bollards, fireproof doors, gates, and hatches. The company has international offices in Kyiv, London, and Dubai, with 23 official brand representatives worldwide and a portfolio of 30,000+ completed projects across more than 100 countries.

About the role:
We are looking for a Lead Marketing Specialist to provide strategic leadership for the marketing team and processes, aimed at strengthening brand awareness globally. The primary focus is on building end-to-end analytics, implementing a unified communication strategy, and scaling client acquisition channels.

Requirements:
- 3+ years of experience in a marketing leadership role.
- Strong leadership skills and the ability to communicate effectively with a team.
- Hands-on experience in B2B markets with a deep understanding of client acquisition and retention tools.
- Proven track record in building and managing high-performing teams.
- Experience with digital tools (performance marketing, CRM, automation).
- Solid understanding of branding, positioning, and product management.
- Proactive, responsible, and result-oriented mindset.
- English proficiency at B1+ level or higher.

Key Responsibilities:
- Managing the marketing team and external contractors.
- Developing and implementing the company's overall marketing strategy.
- Team building, goal setting, and marketing performance management.
- Overseeing and managing operational marketing processes.
- Analyzing the market, competitors, and user behavior.
- Maintaining current communication channels and developing new ones.
- Boosting brand awareness in the international market.
- Preparing for participation in international exhibitions and industry events.
- Supporting and optimizing company websites.
- Maintaining a unified communication strategy (PR, Content, SMM, Websites).
- Establishing a KPI system and end-to-end analytics to evaluate marketing effectiveness.

What the client offers:
- Timely salary payments (twice a month).
- Official employment in accordance with Ukrainian legislation.
- Free shuttle service from Kharkivska metro station (Location: Bortnychi district, Kyiv).
- Access to a free gym.
- On-site meals at corporate rates (partially subsidized by the company)

We are looking for a Business Analyst. Their primary responsibility is to analyse and evaluate various aspects of a business to identify problems, opportunities, and solutions.

✅ Responsibility:

✔️ Manage Product Backlog: Formulating the list of backlog items and prioritising them as per the critical business objectives.

✔️ Provide effective communication to the stakeholders of the project: The BAis the central communicator between the development team and the stakeholders.

✔️ They need to be clear and concise communicators to ensure there is approval of the stakeholders for all major decisions and strategies.

✔️ Create and Maintain Change Requests Associated with the Product: Predominantly an Operational task. The BA will gather and prioritise operational changes and include them within the Product Backlog for future sprint iteration.

✔️ Define Acceptance Criteria for their Product: The BA must know what they want their product features to achieve.Having strongly defined acceptance criteria is vital to ensure

✔️ that the Product performs to the expected standard. A/C's should always be confirmed with Stakeholders and will be used as a baseline for QA to test against.

✔️ Gap Analysis: By comparing the current state of a business to the desired future state, The BA may identify gaps or areas for improvement. This helps in defining project objectives and goals.

✔️ Change Management: The BA will help manage and support the changes brought about by their or BRO recommendations. This can involve developing change management plans, conducting training sessions, and ensuring a smooth transition to new processes or systems.

✔️ Gather Functional and non Functional Requirements: The BA will ensure that all requirements are gathered and that they meet the Product Managers expectations.

✔️ Verify Requirements: Once the requirements, functional and non functional, have been gathered from the Stakeholder the BA will confirm and agree that the requirements are fit for purpose and use.

✅ Requirements:

✔️ 2-3 years of experience BA/Product Manager

✔️ experience with web dev

✔️ Product development architecture

✔️ Scrum and Agile development methodologies

✔️ User experience principles

✔️ Product backlog management

✔️ Coding and designing (nice to have)

Analytical Skills

Ability to analyse various issues and find workable solutions as quickly as possible. Identify, collect and analyse information, use reason to solve complex problems and make decisions based on logical conclusions.

Decision Making

Use technical, analytical and communications skills to make crucial decisions regarding their products success and development. After identifying an issue you must be able to collect and collate all relevant information, find ways of dealing with it, decide on the best option and implement/evaluate the results.

Social Package

📝 Official employment

🏝18 days of vacation

💊 Medical Insurance

🧑🏻‍💻Equipment for work

Position Overview

We are seeking an experienced Data Scientist/ML Engineer specializing in neural networks, with 3+ years experience in the applied field. The ideal candidate should be a great mentor and team player; python ninja with a strong background in various neural network architectures (recurrent, convolutional, feedforward, etc.) and a deep understanding of developing, tuning, and deploying different architectures. This role also requires excellent Python programming skills and a solid foundation in data analysis and statistics. If you strive in a fast pace environment, with tight deadlines but fast professional growth, you are welcome in our team!

Key Responsibilities:

• Create statistical summaries to support hypothesis testing and data-driven decisions during EDA
• Implement data preparation and feature engineering pipelines for the models
• Plan and implement algorithms for predictive modeling.
• Provide continuous improvement of models in production
• Lead the ML-driven python coding for end to end model deliveries, support our ML-related libraries/
• Collaborate with a cross-functional team of specialists, including senior and junior data scientists, Python developers and ML engineers, data analysts, and DevOps specialists.
• Provide expertise in tuning loss functions, metrics, sample weights adjustment, hyperparameter tuning and model improvement in general.
• Generate detailed evaluation reports, summarizing key findings and presenting actionable insights to stakeholders.
• Keep up with tight deadlines, agile environment of work with evolving objectives and KPIs, having the highest level of organisation and self management to provide a full work clarity, extensive tracking and documentation of your work.

Required Skills and Qualifications:

• Minimum of 3 years of professional experience as a Data Scientist or Machine Learning Engineer.
• Proficient in building custom neural networks using PyTorch.
• Strong experience with various neural network architectures specialised for time-series modelling and tabular data predictive modelling 
• Proficiency with neural network layers (like LSTM, GRU, Conv1D, Dense, Dropout, BatchNormalization) and activation functions (ReLU, Sigmoid, Tanh, Softmax).
• Experience with time series data, including loading, cleaning, and feature engineering using libraries like pandas, numpy. Knowledge of Darts library would be a large bonus.
• Expertise in model development, including selecting and developing models from the Darts library and building custom neural network architectures.
• In-depth knowledge of Python programming and relevant libraries (e.g., Scikit-learn, Pandas, PyTorch, Shap). We want to emphasize this requirement of excellency in python, including good working OOP knowledge. We do noе accept candidates with partial experience in python, as our projects require solid programming skills for writing and supporting data science related functionalities and libraries
• Solid understanding of statistics and data analysis.
• Skilled in using and tuning loss functions such as MSE, MAE, Cross-Entropy Loss, and custom loss functions relevant to time series forecasting.
• Experience with hyperparameter optimization using libraries like Optuna or Hyperopt.
• Capable of implementing and optimizing training loops in PyTorch, including data loaders and training validation steps.
• Knowledge of time series-specific cross-validation techniques and regularization methods to prevent overfitting.
• Strong skills in evaluating model performance using metrics like MSE, RMSE, MAE, MAPE, and R-squared.
• Familiarity with backtesting functionalities for validating model performance.
• Experience in model deployment, including serialization and deployment of models for real-time services.
• Strong communication skills for presenting findings and progress to stakeholders, using visualizations created with matplotlib, seaborn, or plotly.
• Proficiency in using Git for version control and collaboration.
• Major education in Data Science, Computer Science, or a related field IS A MUST. We do not accept people with other backgrounds.
• Certifications in deep learning are preferred.
• Excellent command of spoken and written English.
• Strong self-management, time management, and organizational skills.

• Ability to work under a structured management system while independently handling creative tasks.

   

What We Offer:

• Competitive remuneration package.
• Bonuses
• Professional mentorship and guidance from experienced team members.
• Opportunities for professional growth and continuous learning.
• A dynamic and collaborative work environment.
   

About DataObrii
DataObrii is a high-tech consulting firm specializing in data science, machine learning, and AI-augmented Internet of Things. Our team comprises experienced data scientists, python engineers, devops, hardware electrical engineers, and business analysts dedicated to delivering innovative, data-driven solutions that enhance business intelligence and efficiency. We emphasize continuous improvement, keeping up with current and emerging technologies, and delivering complete timely, effective solutions.

Our Values:

• Efficiency: We employ an agile approach to ensure timely delivery of high-quality solutions. This governs fast delivery cycles, quick and efficient solutions, iteratively going from PoC developments to fully enhanced production systems.
• Professionalism: Our commitment to excellence drives us to achieve success for our clients. This includes both technical and ethical proficiency required from all our employees.
• Creativity: We utilize design thinking to develop innovative solutions that address complex business challenges.
• Care: We invest time in understanding our clients' business models to provide tailored solutions that align with their objectives.
   

We are looking for a Senior Data Analyst. 

This is not a standard analyst role. We are building a dynamic identity resolution system where AI is deeply integrated — both as a productivity multiplier and as a core component of our data processing logic for identity resolution and LLM-based scoring.

We run enrichment against 70+ TB of data, apply AI and LLM-based scoring on top, and process around 20 million enrichment operations per day across hundreds of thousands of records.

The analytical challenges ahead are substantial: how to measure the quality of AI-driven scoring, how to validate that a change makes the system better, how to know where our money and time deliver the most value, and how to turn the questions our internal teams bring in into fast data-backed answers. You will own this side of the business, working daily alongside engineers and the product lead to turn these challenges into decisions that ship.

The main part of the role is not building dashboards — it is the data work that makes a meaningful dashboard possible in the first place. Concretely, you will be:

• Looking at data from multiple vendors side by side and deciding what to trust.
• Reconciling entities across sources that have different shapes and quality.
• Proposing and validating the logic that matches and scores them.
• Defining metrics and ground truth for questions nobody has asked before.
• Tracing why numbers don't line up across partial and sometimes contradictory sources.

Dashboards and visualizations are part of how findings get communicated, but they come at the end — the surface of the work, not its core. Most of your time is spent on what sits underneath: methodology, judgment calls on data quality, and shaping how the domain understands its own numbers.

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.

Culture & Mindset

• Self-improvement: You are a fast learner. You don't fear AI replacing you; you master it to replace your manual tasks.
• Ownership: You treat the Identity domain as your own business. If scoring quality drifts or a provider degrades, you notice it and drive the fix without being asked.
• Internal Locus of Control: You take responsibility for outcomes. If external data shifts or an API changes, you build around it instead of blaming the provider.
• Get It Done: You prioritize shipping answers. You know when to send a rough estimate and when to build a proper framework.
• Openness: You share findings and admit mistakes openly — both wins and failures travel across the team. If you spot a better way to do something, you volunteer it without being asked.

What We Offer

• Fully remote with flexible hours, with working overlap in CET ±2 hours for syncs.
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech — both for daily work and as part of product logic.
• High-Impact Role: You will directly shape how we identify, score, and reach healthcare professionals — the core business of our domain.
• Small team, direct impact: You will work directly with Product and Engineering leads — no layers between you and the people making decisions.
• No Bureaucracy: Fast decisions, no legacy processes, focus on results.