Dataforest

We need a search strategist who treats organic and AI-driven visibility as a way to grow the business, not a checklist to grind through. You won't be micro-managed, and we don't care about vanity metrics. We care about strategy, data, and growth that shows up in the pipeline.

The job has changed. Ranking #1 on Google used to be the goal. Now it's the baseline. A big part of the work is getting your content cited and recommended by AI answer engines like Google AI Overviews, ChatGPT, Perplexity, and Gemini, because that's increasingly where buyers ask their questions. If you already get why entities, structured data, and topical authority matter here, and you've been experimenting with it yourself, keep reading.

What you'll own

Search and AI-visibility strategy. You'll shape the full organic funnel, from top-of-funnel informational content down to high-intent commercial pages, across both traditional search and generative engines. The roadmap is yours, not a ticket queue someone hands you.

Entity and topical authority. Build the topic clusters, internal linking, and entity model that make it clear to Google and LLMs what we're an authority on. Find keyword cannibalization and fix it before it caps our growth.

Technical and AI optimization. Audit and implement JSON-LD structured data (Organization, Product/Service, Breadcrumb, Article, Review) so our content is machine-readable. Own indexation, crawl efficiency, Core Web Vitals, and AI-search readiness, including entity-first content. The goal is getting included in answers, not just ranking blue links.

Authority and digital PR. Build authority through earned mentions, digital PR, and links that move rankings and feed the brand signals AI engines pay attention to. We want quality and relevance, not volume, and definitely no link farms.

Specs and enablement. Turn strategy into clear technical briefs and content specs our dev and content teams can act on without guesswork. You set the standard rather than waiting to be told what to scope.

Opportunity hunting. Watch the market, competitors, and shifts in how SERPs and AI answers behave, and find untapped demand before anyone else does, including emerging zero-click and AI-answer surfaces.

Analytics and reporting. Track what actually matters: non-brand organic traffic, conversions, qualified pipeline, and AI share-of-voice. No-click attribution is messy. Your job is to make sense of it and report it so stakeholders understand it and act on it.

Must-haves

• At least 4 years of hands-on SEO with real case studies you can walk us through, including traffic or revenue outcomes.
• Experience in SaaS, e-commerce, or large content platforms. Comfort with both B2B and B2C is a plus.
• Strong with the core stack: Ahrefs, SEMrush, and Google Search Console, plus GA4, GTM and crawlers like Screaming Frog.
• A real AEO/GEO mindset. You understand entity SEO, structured data, and how to optimize for citation in AI Overviews and LLM answers. Bonus if you've already shipped this kind of work.
• A solid grasp of site architecture, Google ranking factors, and recent core and helpful-content updates, including how to diagnose and recover from volatility and cannibalization.
• Responsible use of AI in your workflow. You can use LLMs to scale research, drafting, and analysis without losing accuracy or originality.
• A self-starter who solves problems independently and brings solutions, not just findings.
• Upper-Intermediate (B2) English or higher.

Nice to have

• Experience recovering sites from core updates or untangling cannibalization at scale.
• Programmatic or scaled-content SEO experience.
• Familiarity with AI-citation and share-of-voice tracking, like Ahrefs Brand Radar or similar.
• Basic technical literacy (HTML, schema, working with dev teams).
• Additional languages for international markets.

We offer:

• Great networking opportunities with international clients, challenging tasks;
• Building interesting projects from scratch using new technologies;
• Personal and professional development opportunities;
• Competitive salary fixed in USD;
• Paid vacation and sick leaves;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;
• Comfortable, spacious and well-equipped office in the city center;
• Team building activities, corporate events.

What success looks like

In your first 30 days: baseline audits done across technical, content, entity, and AI-answer presence; quick wins shipped like schema, internal linking, and cannibalization fixes; and a prioritized 6-month roadmap delivered.

By 6 to 12 months: measurable growth in non-brand organic conversions, steady inclusion and citation in AI answers for our target queries, and a repeatable playbook the rest of the team can run.

Dataforest is looking for a Data Engineer to join an interesting software development project in the field of Cybersecurity. Our client’s platform offers Identity Insights drives real-time, multi-contextual digital forensics to protect new account opening workflows and expose fake accounts already in a customer database.

Requirements:
• 3+ years of hands-on experience in data engineering;
• 3+ years of commercial experience with Python;
• Advanced experience with SQL DBs (optimisations, monitoring, etc.);
• Advanced experience with PySpark;
• Solid understanding of ETL principles (architecture/ monitoring/ alerting/search and resolve bottlenecks);
• Familiar with AWS infrastructure (boto3, S3 buckets, etc);
• Experience working with large volumes of data;
• Understanding the principles of medallion architecture.

Responsibilities:
• Maintain data processing architecture using Python and PySpark that interacts with ScyllaDB & PostgreSQL.
• Work with Databricks infrastructure to ensure reliability, scalability, and cost efficiency.
• Proactively identify bottlenecks and suggest technical improvements.

Nice to have:

• Cassandra/Scylla

• PostgreSQL

• Pandas

• Experience with Kafka and Redis

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary fixed in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

Looking for a Data Engineer to join the Dataforest team. If you are looking for a friendly team, a healthy working environment, and a flexible schedule ‒ you have found the right place to send your CV.

Skills requirements:
• 2+ years of experience with Python;
• 2+ years of experience as a Data Engineer;
• Experience with Pandas;
• Experience with SQL DB / NoSQL (Redis, Mongo, Elasticsearch) / BigQuery;
• Familiarity with Amazon Web Services;
• Knowledge of data algorithms and data structures is a MUST;
• Working with high volume tables 10m+.

Optional skills (as a plus):
• Experience with Spark (pyspark);
• Experience with Airflow;
• Experience with Kafka;
• Experience in statistics;
• Knowledge of DS and Machine learning algorithms..

Key responsibilities:
• Create ETL pipelines and data management solutions (API, Integration logic);
• Different data processing algorithms;
• Involvement in creation of forecasting, recommendation, and classification models.

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary fixed in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

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

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

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

Skills requirements:
• Strong Python Experience (2 year +);
• Experience with LLM , Diffusion models;
• Knowledge of Prompt engineering;
• Experience with Gen AI-related technologies such as LangChain and RAG;
• Experience with Neural Networks (Optional) ;
• Experience with NLP , Predictive analytics and Machine learning;
• Experience with Pandas;
• Experience with SQL, including experience with large datasets;
• Strong experience in statistics;

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

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary nominated in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

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

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

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

Skills requirements:
• Strong Python Experience (1 year +);
• Experience with LLM , Diffusion models (1 year +);
• Knowledge of Prompt engineering;
• Experience with Gen AI-related technologies such as LangChain and RAG;
• Experience with Neural Networks (Optional) ;
• Experience with NLP , Predictive analytics and Machine learning;
• Experience with Pandas;
• Experience with SQL, including experience with large datasets;
• Strong experience in statistics;

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

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary nominated in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

Dataforest is a hard-working and tight-knit team with first-rate experience in full-cycle developing data-driven solutions.

We are looking for a IT Project Manager to join our highly talented and motivated team.

Skills Requirements:

• 2+ years of experience as a IT Project manager ;
• Strong knowledge of project planning;
• Experience with managing web develop projects;
• Project documentation knowledge and understanding;
• Knowledge of the methodology: Scrum, Kanban, Waterfall;
• Experience with task tracking systems;
• Experience in outsoursing company.

Responsibilities:

• Plan and document project objectives, tasks, timelines and work assignments;
• Define and track project success metrics;
• Setting tasks to performers (programmers, designers, other);
• Full interaction with the development team;
• Business analysis and making technical requirements (optional).

We offer:

• Great networking opportunities with international clients, challenging tasks;
• Building interesting projects from scratch using new technologies;
• Personal and professional development opportunities;
• Competitive salary fixed in USD;
• Paid vacation and sick leaves;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;
• Comfortable, spacious and well-equipped office in the city center;
• Team building activities, corporate events.

Looking for a Data Engineer to join the Dataforest team. If you are looking for a friendly team, a healthy working environment, and a flexible schedule ‒ you have found the right place to send your CV.

Skills requirements:
• 2+ years of experience with Python;
• 2+ years of experience as a Data Engineer;
• Experience with Pandas;
• Experience with SQL DB / NoSQL (Redis, Mongo, Elasticsearch) / BigQuery;
• Familiarity with Amazon Web Services;
• Knowledge of data algorithms and data structures is a MUST;
• Working with high volume tables 10m+.

Optional skills (as a plus):
• Experience with Spark (pyspark);
• Experience with Airflow;
• Experience with Kafka;
• Experience in statistics;
• Knowledge of DS and Machine learning algorithms..

Key responsibilities:
• Create ETL pipelines and data management solutions (API, Integration logic);
• Different data processing algorithms;
• Involvement in creation of forecasting, recommendation, and classification models.

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary fixed in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

Dataforest is looking for a Data Scientist to join an interesting software development project in the field of Cybersecurity. Our client's platform offers Identity Insights drives real-time, multi-contextual digital forensics to protect new account opening workflows and expose fake accounts already in a customer database.

    Required Qualifications

• 2+ years of experience working with large-scale, complex datasets.
• Experience with imbalanced data.
• High proficiency in Python for data analysis, feature engineering and modeling.
• Expertise in exploratory data analysis and preparing clean, structured datasets for model development.
• Hands-on experience with AI/ML techniques:
• Supervised (eg. gradient boosting, decision trees, etc.)
• Unsupervised (eg. anomaly detection, clustering, etc.)
• Familiarity with basic statistical concepts and model evaluation metrics (eg. precision, recall, ROC-AUC).
• Upper-intermediate (B2) or higher level of English.
  
  Nice to Have
• Hands-on experience in the fraud/risk domain.
• Experience with Databricks (including Pyspark) for data processing, experimentation, and model development.
• Experience in MLflow library for experiment tracking and model lifecycle management.
• Experience working with diverse data sources (e.g., behavioral, device, or transactional data) and deriving meaningful features.
• Experience assessing data quality and validating new data sources in production environments.

     Key Responsibilities

• Analyze large-scale transaction datasets to identify fraud patterns and risk signals.
• Develop and validate ML models for risk scoring and fraud detection/classification.
• Support deployment of models into production environments by collaborating with the development team.
• Monitor model performance, conduct regular evaluations, analyze the results.
• Perform feature engineering to continuously improve model performance.
• Collaborate with the client on R&D efforts, including exploratory data analysis, feature development, and testing new approaches.

     We offer

• Great networking opportunities with international clients, challenging tasks;
• Building interesting projects from scratch using new technologies;
• Personal and professional development opportunities;
• Competitive salary fixed in USD;
• Paid vacation and sick leaves;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;
• Team building activities and corporate events.

We are looking for a visionary and hands-on Senior Backend Developer / Tech Lead to drive the technical evolution of our high-performance microservices ecosystem at Dataforest. If you are passionate about building scalable, high-load systems, defining architectural patterns, and guiding a talented engineering team in a healthy, flexible working environment — we want you on board!

    Technical Requirements:

• 4+ years of commercial experience in backend development using Python;
• Proven track record of designing and scaling high-load (Highload) applications and distributed systems;
• Deep expertise in FastAPI (advanced async patterns, dependency injection, architecture optimization, Pydantic v2);
• Extensive hands-on experience with GraphQL in production (advanced schema design, federation/subgraphs, N+1 problem resolution, resolver optimization);
• Strong mastery of asynchronous programming in Python (asyncio, advanced concurrency models);
• Production experience with AWS infrastructure;
• Advanced knowledge of SQL  databases, mastering query optimization, indexing strategies, and database sharding/replication (e.g., PostgreSQL + SQLAlchemy/Tortoise);
• Deep understanding of microservices patterns (Event-Driven Architecture, CQRS, Saga pattern, API Gateways, Service Mesh).
   

     Optional skills (as a plus):

• Experience with specialized GraphQL tools like Strawberry, Ariadne, or Apollo Router/Federation;
• Advanced usage of Redis (caching strategies, pub/sub);
• Experience with message brokers and task queues (Kafka, RabbitMQ, Celery) under heavy loads.
• Experience with third party integrations (payments, iGaming platforms, CRM and similar).
   

    Key Responsibilities:

• Architecture & Leadership: Design, build, and maintain scalable backend architectures using FastAPI and GraphQL; establish best practices, code standards, and technical roadmaps;
• High-Load Optimization: Solve complex scalability challenges, optimize system performance, eliminate bottlenecks, and ensure low-latency data delivery;
• Microservices & Infrastructure: Own the integration and evolution of a highly distributed microservices mesh built on AWS;
• Mentorship & Code Quality: Lead technical discussions, conduct rigorous code reviews, and mentor Middle/Junior developers, fostering a culture of engineering excellence;

• Cross-functional Collaboration: Act as a key technical point of contact, collaborating with Data Science, Data Engineering, and product stakeholders to design robust data-retrieval and processing APIs.
   

  We offer:

• Great networking opportunities with international clients, challenging tasks;
• Building interesting projects from scratch using new technologies;
• Personal and professional development opportunities;
• Competitive salary fixed in USD;
• Paid vacation and sick leaves;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;
• Team building activities, corporate events.

We are looking for a Middle Python Developer with a strong focus on backend development, high-performance APIs, and microservices to join the Dataforest team. If you are looking for a friendly team, a healthy working environment, and a flexible schedule ‒ you have found the right place to send your CV.

     Skills requirements:

• 3+ years of commercial experience with Python;
• Strong production experience with FastAPI (async programming, dependency injection, Pydantic);
• Deep understanding and hands-on experience with GraphQL (schema design, resolvers optimization, federation is a plus) along with traditional REST API approach;
• Strong understanding of asynchronous programming (asyncio, multithreading/multiprocessing);
• Experience with AWS services;
• Experience with SQL databases, ORMs (e.g., SQLAlchemy/Tortoise), and query optimization;
• Solid understanding of client-server models, microservices architecture, and authorization/authentication principles (OAuth2, JWT).
   

     Optional skills (as a plus):

• Experience with Strawberry or Ariadne (Python GraphQL libraries);
• Experience with Redis and Lua scripts;
• Experience with Celery or other async task managers/message brokers;
• Experience with third party integrations (payments, iGaming platforms, CRM and similar).
   

     Key responsibilities:

• Designing and developing high-performance Backend APIs using FastAPI and GraphQL;
• Building and maintaining applications with a distributed microservices architecture;
• Writing efficient asynchronous logic and integrating third-party services;
• Developing data-retrieval applications and specialized scripts (similar to DAGs in Airflow or AWS Lambdas) to process information for further DS and DE workflows;

• Optimizing database queries and API performance to ensure low latency.
   

  We offer:

• Great networking opportunities with international clients, challenging tasks;
• Building interesting projects from scratch using new technologies;
• Personal and professional development opportunities;
• Competitive salary fixed in USD;
• Paid vacation and sick leaves;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;
• Team building activities, corporate events.

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

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

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

Skills requirements:
• Strong Python Experience (1 year +);
• Experience with LLM , Diffusion models (1 year +);
• Knowledge of Prompt engineering;
• Experience with Gen AI-related technologies such as LangChain and RAG;
• Experience with Neural Networks (Optional) ;
• Experience with NLP , Predictive analytics and Machine learning;
• Experience with Pandas;
• Experience with SQL, including experience with large datasets;
• Strong experience in statistics;

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

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary nominated in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

Dataforest is looking for an experienced Delivery Manager to lead and coordinate software development projects for international clients. In this role, you will manage delivery processes, align cross-functional teams, ensure project success, and maintain strong client communication in a fast-paced outsourcing environment.

Requirements:
- 4+ years of experience as a delivery manager.
- Strong leadership and organizational skills with the ability to effectively manage a team.
- Experience working with project budgets and understanding financial metrics.
- Deep understanding of the project delivery process.
- Understanding of Python, API, and SQL (optional).
- Possession of project management tools.
- Experience in account management and building long-term relationships with clients.
- English language - Advanced or Fluent level.

Responsibilities:
- Manage and coordinate project teams, including PMs, developers, and resource functions.
- Ensure timely and high-quality delivery of ІТ projects.
- Maintain and develop long-term relationships with clients, striving to increase their satisfaction.
- Manage project budgets and ensure the achievement of set financial indicators.
- Oversee all aspects of project execution—from planning to delivery.
- Participate in identifying client needs and generating additional business opportunities.

We offer:
- Working in a fast growing company;
- Great networking opportunities with international clients, challenging tasks;
- Personal and professional development opportunities;
- Competitive salary fixed in USD;
- Paid vacation and sick leaves;
- Flexible work schedule;
- Friendly working environment with minimal hierarchy;
- Team building activities, corporate events.

Dataforest is looking for a strategic and hands-on Chief Marketing Officer to lead our marketing direction and accelerate company growth. The ideal candidate has a strong background in digital marketing, brand strategy, and data-driven decision-making, with a proven ability to build and manage high-performing teams.

Key Responsibilities:

• Develop and execute a marketing strategy that focuses on generating leads and driving revenue growth.
• Develop and implement creative and data-driven marketing initiatives that increase brand awareness and inbound leads.
• Analyze markets, competitors, and customer behavior to find new growth opportunities.
• Build, lead, and mentor a high-performing marketing team.
• Coordinate digital campaigns with a focus on measurable ROI.
• Strengthen the Dataforest brand through thought leadership, storytelling, and a consistent visual and communication identity.
• Grow visibility in both classic search and AI answer engines (AEO / GEO), so Dataforest is found and cited where buyers now research.
• Collaborate with Lead Gen, Sales, and Delivery teams to align marketing activities with business goals.
• Track performance metrics, manage marketing budgets, and report directly to the CEO.

• Continuously research and test new marketing tools, channels, and trends to keep the company ahead of competitors.

   

Requirements:

• 8+ years in digital marketing, with 5+ in senior leadership (Head of Marketing / Marketing Director / CMO), ideally inside an IT, software, or data services company.
• Proven ability to build a marketing function and team from the ground up: a small in-house core plus orchestrated external specialists (SEO, copywriting, partnerships).
• A quantifiable pipeline track record. For example, marketing-attributed deals added, scaled MQL programs etc.
• Hands-on experience marketing to US and EU buyers.
• Multi-channel command across SEO and AI search (AEO / GEO), content, SMM, PR, events, and partnerships.
• Strong technical fluency: comfortable working directly with engineering and product teams. 
• Early, practical adopter of AI in marketing (automation, AI-assisted content, AI search visibility), not a recent convert.
• Data-driven and board-ready: builds dashboards and attribution (HubSpot CRM, Google Analytics, Looker Studio), runs ROMI / CAC analysis, and reports marketing in revenue terms to the CEO.
• Experience with marketing automation and the core stack: HubSpot, Google and LinkedIn Analytics and Ads.
• Strong leadership and team management skills, with the executive presence to run strategy sessions with the CEO and department heads.
• Excellent communication and presentation skills.
• English: professional working proficiency or higher.

Nice to have:

• Certifications (Digital Marketing, HubSpot, Google etc)
• Experience marketing IT outsourcing, software development, data engineering, or AI services.

We offer:

• Great networking opportunities with international clients, challenging tasks;
• Building interesting projects from scratch using new technologies;
• Personal and professional development opportunities;
• Competitive salary fixed in USD;
• Paid vacation and sick leaves;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;
• Comfortable, spacious, and well-equipped office in the city center;
• Team building activities, corporate events.

Dataforest в пошуку вмотивованого на розвиток Data Engineer, який стане частиною нашої дружньої команди. Як Data Engineer, ти будеш розв'язувати цікаві задачі, використовуючи передові технології збору, обробки, аналізу та моніторингу даних.

Якщо ти не боїшся викликів, ця вакансія саме для тебе!

Нам важливо:

• Досвід роботи як Data Engineer — 1+ рік;

• Досвід роботи з Python;
• Досвід роботи з Databricks та Datafactory;
• Досвід роботи з AWS/Azure;

• Досвід роботи з ETL / ELT pipelines;

• Досвід роботи з SQL.

Обов'язки:

• Створення ETL/ELT pipelines та рішень для управління даними;

• Застосування алгоритмів обробки даних;

• Робота з SQL-запитами для видобутку та аналізу даних;

• Аналіз даних та використання алгоритмів обробки даних для вирішення бізнес-проблем;

Ми пропонуємо:

• Робота з high-skilled engineering team над цікавими та складними проєктами;

• Вивчення новітніх технологій;

• Спілкування з іноземними клієнтами, челенжові завдання;

• Можливості особистого і професійного розвитку;

• Конкурентоспроможна зарплата, фіксована в USD;

• Оплачувана відпустка і лікарняні;

• Гнучкий графік роботи;

• Дружня робоча атмосфера без бюрократизму;

• У нас багато традицій — корпоративи, тимбілдинги та тематичні заходи та багато іншого!

Якщо наша вакансія тобі до душі, тоді відправляй своє резюме - і ставай частиною нашої команди.

Dataforest в пошуку вмотивованого на розвиток Data Engineer, який стане частиною нашої дружньої команди. Як Data Engineer, ти будеш розв'язувати цікаві задачі, використовуючи передові технології збору, обробки, аналізу та моніторингу даних.

Якщо ти не боїшся викликів, ця вакансія саме для тебе!

Нам важливо:

• Досвід роботи як Data Engineer — 1+ рік;

• Досвід роботи з Python;
• Досвід роботи з Databricks та Datafactory;
• Досвід роботи з AWS/Azure;

• Досвід роботи з ETL / ELT pipelines;

• Досвід роботи з SQL.

Обов'язки:

• Створення ETL/ELT pipelines та рішень для управління даними;

• Застосування алгоритмів обробки даних;

• Робота з SQL-запитами для видобутку та аналізу даних;

• Аналіз даних та використання алгоритмів обробки даних для вирішення бізнес-проблем;

Ми пропонуємо:

• Робота з high-skilled engineering team над цікавими та складними проєктами;

• Вивчення новітніх технологій;

• Спілкування з іноземними клієнтами, челенжові завдання;

• Можливості особистого і професійного розвитку;

• Конкурентоспроможна зарплата, фіксована в USD;

• Оплачувана відпустка і лікарняні;

• Гнучкий графік роботи;

• Дружня робоча атмосфера без бюрократизму;

• У нас багато традицій — корпоративи, тимбілдинги та тематичні заходи та багато іншого!

Якщо наша вакансія тобі до душі, тоді відправляй своє резюме - і ставай частиною нашої команди.