Jobs

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client:
Our client is an IT company that develops technological solutions and products to help companies reach their full potential and meet the needs of their users. The team comprises over 600 specialists in IT and Digital, with solid expertise in various technology stacks necessary for creating complex solutions.

About the role:
We are looking for a Data Engineer (NLP-Focused) to build and optimize the data pipelines that fuel the Ukrainian LLM and NLP initiatives. In this role, you will design robust ETL/ELT processes to collect, process, and manage large-scale text and metadata, enabling the Data Scientists and ML Engineers to develop cutting-edge language models.

You will work at the intersection of data engineering and machine learning, ensuring that the datasets and infrastructure are reliable, scalable, and tailored to the needs of training and evaluating NLP models in a Ukrainian language context.

Requirements:
- Education & Experience: 3+ years of experience as a Data Engineer or in a similar role, building data-intensive pipelines or platforms. A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field is preferred. Experience supporting machine learning or analytics teams with data pipelines is a strong advantage.
- NLP Domain Experience: Prior experience handling linguistic data or supporting NLP projects (e.g., text normalization, handling different encodings, tokenization strategies). Knowledge of Ukrainian text sources and data sets, or experience with multilingual data processing, can be an advantage given the project’s focus.
Understanding of FineWeb2 or a similar processing pipeline approach.
- Data Pipeline Expertise: Hands-on experience designing ETL/ELT processes, including extracting data from various sources, using transformation tools, and loading into storage systems. Proficiency with orchestration frameworks like Apache Airflow for scheduling workflows. Familiarity with building pipelines for unstructured data (text, logs) as well as structured data.
- Programming & Scripting: Strong programming skills in Python for data manipulation and pipeline development. Experience with NLP packages (spaCy, NLTK, langdetect, fasttext, etc.). Experience with SQL for querying and transforming data in relational databases. Knowledge of Bash or other scripting for automation tasks. Writing clean, maintainable code and using version control (Git) for collaborative development.
- Databases & Storage: Experience working with relational databases (e.g., PostgreSQL, MySQL), including schema design and query optimization. Familiarity with NoSQL or document stores (e.g., MongoDB) and big data technologies (HDFS, Hive, Spark) for large-scale data is a plus. Understanding of or experience with vector databases (e.g., Pinecone, FAISS) is beneficial, as the NLP applications may require embedding storage and fast similarity search.
- Cloud Infrastructure: Practical experience with cloud platforms (AWS, GCP, or Azure) for data storage and processing. Ability to set up services such as S3/Cloud Storage, data warehouses (e.g., BigQuery, Redshift), and use cloud-based ETL tools or serverless functions. Understanding of infrastructure-as-code (Terraform, CloudFormation) to manage resources is a plus.
- Data Quality & Monitoring: Knowledge of data quality assurance practices. Experience implementing monitoring for data pipelines (logs, alerts) and using CI/CD tools to automate pipeline deployment and testing. An analytical mindset to troubleshoot data discrepancies and optimize performance bottlenecks.
- Collaboration & Domain Knowledge: Ability to work closely with data scientists and understand the requirements of machine learning projects. Basic understanding of NLP concepts and the data needs for training language models, so you can anticipate and accommodate the specific forms of text data and preprocessing they require. Good communication skills to document data workflows and to coordinate with team members across different functions.

Responsibilities:
- Design, develop, and maintain ETL/ELT pipelines for gathering, transforming, and storing large volumes of text data and related information.
- Ensure pipelines are efficient and can handle data from diverse sources (e.g., web crawls, public datasets, internal databases) while maintaining data integrity.
- Implement web scraping and data collection services to automate the ingestion of text and linguistic data from the web and other external sources. This includes writing crawlers or using APIs to continuously collect data relevant to the language modeling efforts.
- Implementation of NLP/LLM-specific data processing: cleaning and normalization of text, like filtering of toxic content, de-duplication, de-noising, detection, and deletion of personal data.
- Formation of specific SFT/RLHF datasets from existing data, including data augmentation/labeling with LLM as teacher.
- Set up and manage cloud-based data infrastructure for the project. Configure and maintain data storage solutions (data lakes, warehouses) and processing frameworks (e.g., distributed compute on AWS/GCP/Azure) that can scale with growing data needs.
- Automate data processing workflows and ensure their scalability and reliability.
- Use workflow orchestration tools like Apache Airflow to schedule and monitor data pipelines, enabling continuous and repeatable model training and evaluation cycles.
- Maintain and optimize analytical databases and data access layers for both ad-hoc analysis and model training needs.
- Work with relational databases (e.g., PostgreSQL) and other storage systems to ensure fast query performance and well-structured data schemas.
- Collaborate with Data Scientists and NLP Engineers to build data features and datasets for machine learning models.
- Provide data subsets, aggregations, or preprocessing as needed for tasks such as language model training, embedding generation, and evaluation.
- Implement data quality checks, monitoring, and alerting. Develop scripts or use tools to validate data completeness and correctness (e.g., ensuring no critical data gaps or anomalies in the text corpora), and promptly address any pipeline failures or data issues. Implement data version control.
- Manage data security, access, and compliance.
- Control permissions to datasets and ensure adherence to data privacy policies and security standards, especially when dealing with user data or proprietary text sources.

The company offers:
- Competitive salary.
- Equity options in a fast-growing AI company.
- Remote-friendly work culture.
- Opportunity to shape a product at the intersection of AI and human productivity.
- Work with a passionate, senior team building cutting-edge tech for real-world business use.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client:
Our client is an IT company that develops technological solutions and products to help companies reach their full potential and meet the needs of their users. The team comprises over 600 specialists in IT and Digital, with solid expertise in various technology stacks necessary for creating complex solutions.

About the role:
We are looking for an experienced Senior/Middle Data Scientist with a passion for Large Language Models (LLMs) and cutting-edge AI research. In this role, you will focus on designing and prototyping data preparation pipelines, collaborating closely with data engineers to transform your prototypes into scalable production pipelines, and actively developing model training pipelines with other talented data scientists. Your work will directly shape the quality and capabilities of the models by ensuring we feed them the highest-quality, most relevant data possible.

Requirements:
Education & Experience:
- 3+ years of experience in Data Science or Machine Learning, preferably with a focus on NLP.
- Proven experience in data preprocessing, cleaning, and feature engineering for large-scale datasets of unstructured data (text, code, documents, etc.).
- Advanced degree (Master’s or PhD) in Computer Science, Computational Linguistics, Machine Learning, or a related field is highly preferred.
NLP Expertise:
- Good knowledge of natural language processing techniques and algorithms.
- Hands-on experience with modern NLP approaches, including embedding models, semantic search, text classification, sequence tagging (NER), transformers/LLMs, RAGs.
- Familiarity with LLM training and fine-tuning techniques.
ML & Programming Skills:
- Proficiency in Python and common data science and NLP libraries (pandas, NumPy, scikit-learn, spaCy, NLTK, langdetect, fasttext).
- Strong experience with deep learning frameworks such as PyTorch or TensorFlow for building NLP models.
- Ability to write efficient, clean code and debug complex model issues.
Data & Analytics:
- Solid understanding of data analytics and statistics.
- Experience in experimental design, A/B testing, and statistical hypothesis testing to evaluate model performance.
- Comfortable working with large datasets, writing complex SQL queries, and using data visualization to inform decisions.
Deployment & Tools:
- Experience deploying machine learning models in production (e.g., using REST APIs or batch pipelines) and integrating with real-world applications.
- Familiarity with MLOps concepts and tools (version control for models/data, CI/CD for ML).
- Experience with cloud platforms (AWS, GCP, or Azure) and big data technologies (Spark, Hadoop, Ray, Dask) for scaling data processing or model training.
Communication & Personality:
- Experience working in a collaborative, cross-functional environment.
- Strong communication skills to convey complex ML results to non-technical stakeholders and to document methodologies clearly.
- Ability to rapidly prototype and iterate on ideas

Nice to have:
Advanced NLP/ML Techniques:
- Familiarity with evaluation metrics for language models (perplexity, BLEU, ROUGE, etc.) and with techniques for model optimization (quantization, knowledge distillation) to improve efficiency.
- Understanding of FineWeb2 or similar processing pipelines approach.
Research & Community:
- Publications in NLP/ML conferences or contributions to open-source NLP projects.
- Active participation in the AI community or demonstrated continuous learning (e.g., Kaggle competitions, research collaborations) indicating a passion for staying at the forefront of the field.
Domain & Language Knowledge:
- Familiarity with the Ukrainian language and context.
- Understanding of cultural and linguistic nuances that could inform model training and evaluation in a Ukrainian context.
- Knowledge of Ukrainian text sources and data sets, or experience with multilingual data processing, can be an advantage given the project’s focus.
MLOps & Infrastructure:
- Hands-on experience with containerization (Docker) and orchestration (Kubernetes) for ML, as well as ML workflow tools (MLflow, Airflow).
- Experience in working alongside MLOps engineers to streamline the deployment and monitoring of NLP models.
Problem-Solving:
- Innovative mindset with the ability to approach open-ended AI problems creatively.
- Comfort in a fast-paced R&D environment where you can adapt to new challenges, propose solutions, and drive them to implementation.

Responsibilities:
- Design, prototype, and validate data preparation and transformation steps for LLM training datasets, including cleaning and normalization of text, filtering of toxic content, de-duplication, de-noising, detection and deletion of personal data, etc.
- Formation of specific SFT/RLHF datasets from existing data, including data augmentation/labeling with LLM as teacher.
- Analyze large-scale raw text, code, and multimodal data sources for quality, coverage, and relevance.
- Develop heuristics, filtering rules, and cleaning techniques to maximize training data effectiveness.
- Collaborate with data engineers to hand over prototypes for automation and scaling.
- Research and develop best practices and novel techniques in LLM training pipelines.
- Monitor and evaluate data quality impact on model performance through experiments and benchmarks.
- Research and implement best practices in large-scale dataset creation for AI/ML models.
- Document methodologies and share insights with internal teams.

The company offers:
- Competitive salary.
- Equity options in a fast-growing AI company.
- Remote-friendly work culture.
- Opportunity to shape a product at the intersection of AI and human productivity.
- Work with a passionate, senior team building cutting-edge tech for real-world business use.

We are looking for a Data Scientist to support a Data & AI team. The role is focused on developing scalable AI/ML solutions and integrating Generative AI into evolving business operations.

About the Role

As a Data Scientist, you will:

• Collaborate with Product Owners, Data Analysts, Data Engineers, and ML Engineers to design, develop, deploy, and monitor scalable AI/ML products.
• Lead initiatives to integrate Generative AI into business processes.
• Work closely with business stakeholders to understand challenges and deliver tailored data-driven solutions.
• Monitor model performance and implement improvements.
• Apply best practices in data science and ML for sustainable, high-quality results.
• Develop and fine-tune models with a strong focus on accuracy and business value.
• Leverage cutting-edge technologies to drive innovation and efficiency.
• Stay updated on advancements in AI and data science, applying new techniques to ongoing processes.

About the Candidate

We are looking for a professional with strong analytical and technical expertise.

Must have:

• 3+ years of hands-on experience in Data Science and ML.
• Experience with recommendation systems and prescriptive analytics.
• Proficiency in Python, SQL, and ML libraries/frameworks.
• Proven experience developing ML models and applying statistical methods.
• Familiarity with containerization and orchestration tools.
• Excellent communication skills and strong command of English.
• Bachelor’s or Master’s degree in Computer Science, Statistics, Physics, or Mathematics.

Nice to have:

• Experience with Snowflake.
• Exposure to Generative AI and large language models.
• Knowledge of AWS services.
• Familiarity with NLP models (including transformers).

We are looking for a CRM Manager to become a valued member of our dynamic team. As a CRM Manager, you will play a pivotal role in nurturing and retaining our existing customer base while driving sustained growth and profitability. If you are a highly motivated individual with a passion for customer relationship management and a proven track record of driving successful retention strategies, we invite you to join our team and make a significant impact on our company's growth trajectory.

HOW YOU WILL MAKE AN IMPACT

• Creating visually appealing emails for trigger campaigns aimed at retaining existing customers.
• Overseeing all aspects of trigger campaigns, from conceptualization to execution. This includes brainstorming campaign ideas, developing strategies, implementing campaign workflows, and making necessary adjustments based on performance metrics and feedback.
• Configuring bonuses to encourage customer retention. This involves determining the type and value of bonuses, setting up bonus structures, and monitoring bonus utilization.
• Developing comprehensive campaign plans focused on reactivation, enhancing player performance, and other retention objectives.
• Implementing gamification elements to enhance customer engagement and loyalty. This involves configuring and managing mini-games, and tournaments within the gaming platform.
• Conducting primary analysis of promo campaigns and their effectiveness.

WHAT WILL HELP YOU SUCCEED IN THE ROLE

• You'll have to have at least 1 year of experience in the iGaming field and be knowledgeable about the best retention practices;
• We will expect you to possess a great deal of information about how to use different communication channels;
• Your technical skills must be at an advanced level;
• Your English level needs to be intermediate or higher;
• We will count on your understanding and insights about the process of user segmentation and content personalization.

WHY YOU’LL LOVE IT HERE:

• Flexible working hours and a remote work setup, so you can plan work around your life and not your life around work!
• Unlimited vacation days and paid sick leave—because your rest matters.
• A competitive compensation that truly reflects your skills and expertise.
• Employee referral bonus and gifts to celebrate your special occasions.
• 50% financial support for learning expenses to supercharge your professional growth!
• A positive atmosphere where you always feel respected and truly belong.
• Inspirational team-building activities that turn colleagues into best friends.
• Wellness benefits: We’ll support your sports passions, from yoga classes to gym memberships.
• Co-working space reimbursement to save your nerves from always working from home :)

Cloudfresh ⛅️ is a Global Google Cloud Premier Partner, Zendesk Premier Partner, Asana Solutions Partner, GitLab Select Partner, Hubspot Platinum Partner, Okta Activate Partner, and Microsoft Partner.

Since 2017, we’ve been specializing in the implementation, migration, integration, audit, administration, support, and training for top-tier cloud solutions. Our products focus on cutting-edge cloud computing, advanced location and mapping, seamless collaboration from anywhere, unparalleled customer service, and innovative DevSecOps.

Currently, we’re looking for an Outreach Specialist responsible for finding ways to generate more backlinks for a company’s website, thus strengthening our SEO process.

Requirements:

• At least two years of experience in white-hat link building and guest posting;
• At least an Upper-Intermediate level of English;
• Strong understanding of Outreach/Link building strategies;
• Basic knowledge of SEO principles;
• Proficiency in Google Docs and Google Sheets;
• Basic HTML knowledge;
• Experience working with Ahrefs, Semrush, Search Console, Google Analytics, and similar SEO tools.

Responsibilities:

• Find quality websites to publish guest posts and sponsored content.
• Analyze and keep an eye on competitors’ backlink profiles.
• Reach out to webmasters, editors, and bloggers to get links placed.
• Use AI to create content, or request content from our team or copywriting agencies when needed.
• Keep an eye on the quality and indexing of published backlinks.
• Get involved in various content marketing activities.
• Regularly create reports on outreach and link-building performance.
• Come up with fresh ideas for outreach and link-building strategies.

Would be a plus:

• Copywriting skills;
• Additional foreign language.

Work conditions:

• Global Exposure: Engage with international audiences across EMEA and CEE regions, expanding your reach and impact.
• Creative Freedom: Take the lead in experimenting with new outreach strategies and channels, where your creative approaches are valued and encouraged.
• Supportive Leadership: Join a team that celebrates your achievements, supports your growth, and fosters a collaborative work environment.
• Competitive Remuneration: Enjoy a competitive salary with a clear and fair bonus system tied to your performance.
• Flexible Remote Schedule: Work flexibly remote or join us for a coffee in Kyiv or Prague offices.
• Comprehensive Leave: 24 vacation days, 14 sick leaves and bank holidays.
• Continuous Learning: Access sponsored educational opportunities such as webinars, meet-ups, company-sponsored English learning groups to keep your skills sharp and relevant.
• When applying to this position, you consent to the processing of your personal data by CLOUDFRESH for the purposes necessary to conduct the recruitment process, in accordance with Regulation (EU) 2016/679 of the European Parliament and of the Council of April 27, 2016 (GDPR).
• Additionally, you agree that CLOUDFRESH may process your personal data for future recruitment processes.

Cloudfresh ⛅️ is a Global Google Cloud Premier Partner, Zendesk Premier Partner, Asana Solutions Partner, GitLab Select Partner, Hubspot Platinum Partner, Okta Activate Partner, and Microsoft Partner.

Since 2017, we’ve been specializing in the implementation, migration, integration, audit, administration, support, and training for top-tier cloud solutions. Our products focus on cutting-edge cloud computing, advanced location and mapping, seamless collaboration from anywhere, unparalleled customer service, and innovative DevSecOps.

Responsibilities:

• Lead and manage a team of business development professionals, providing guidance, support, and mentorship to help them achieve their targets and objectives.
• Develop and execute effective business development strategies to drive growth and expand market share.
• Identify new business opportunities and potential clients through market research, networking, and lead generation activities.
• Build and maintain strong relationships with existing and potential clients, understanding their needs and providing tailored solutions to meet their requirements.
• Collaborate with cross-functional teams, including sales, operations & marketing, and product development, to ensure alignment and maximize business opportunities.
• Monitor and analyze market trends, competitor activities, and customer feedback to identify areas for improvement and refine business development strategies.
• Prepare and present regular reports on business development activities, performance metrics, and achievements to senior management.
• Stay up-to-date with industry developments, emerging technologies, and market trends to identify new business opportunities and maintain a competitive edge.
• Conduct training sessions and workshops to enhance the skills and knowledge of the business development team members.
• Foster a positive and collaborative team culture, promoting a high-performance mindset and maintaining a motivating work environment.

Work conditions:

• Be a Pioneer: This role offers a unique opportunity to significantly contribute to our expansion in new and strategic markets.
• International Career Growth: As Cloudfresh expands globally, you’ll have the opportunity to build a career with international exposure, working on projects that span EMEA, Middle East, Central Asia and CEE regions, while deepening your knowledge of top-tier cloud technologies.
• At Cloudfresh, we champion internal growth. Successful BDRs are actively mentored and provided a defined route to acquire direct sales closing experience and advance to become Junior Account Executives.
• Work with Top Cloud Products: Gain hands-on experience with leading products from Google, Zendesk, Asana, Hubspot, Microsoft, Okta, GitLab, and Miro, enhancing your professional growth.
• Supportive & Dynamic Environment: Join a team where innovation is encouraged, and your contributions help shape the future of Cloudfresh.
• Competitive Remuneration: Enjoy a competitive salary with a transparent and fair bonus system tied to your performance.
• Flexible Remote Schedule: Work flexibly remotely or join us for a coffee in Kyiv or Prague offices.
• Comprehensive Leave: 24 vacation days, bank holidays, and 14 days of sick leave.
• Continuous Learning: Access sponsored educational opportunities such as webinars, meet-ups, and company-sponsored English learning groups to keep your skills sharp and relevant.
• When applying to this position, you consent to the processing of your personal data by CLOUDFRESH for the purposes necessary to conduct the recruitment process, in accordance with Regulation (EU) 2016/679 of the European Parliament and of the Council of April 27, 2016 (GDPR). Additionally, you agree that CLOUDFRESH may process your personal data for future recruitment processes.

Analytical Skills and Requirements Management

• 5+ years of experience working as a Business Analyst in the IT industry.
• Expertise in gathering, formalizing, and managing requirements in complex product environments.
• High-quality functional description skills: user stories, epics, acceptance criteria, test cases, task setting — performed at a level that requires no additional validation.
• Ability to manage requirements end-to-end — from idea to release and post-release analysis.
• Confident experience with integration/API requirements and technical-level documentation.
• Ability to think not only in terms of functionality but also in terms of business value and product goals.

Modeling and Systems Thinking

• Strong process visualization skills: BPMN, UML, etc.
• Deep understanding of system architecture, component interaction, and integrations.
• Experience analyzing existing processes, identifying bottlenecks, and proposing optimizations.

Product and Strategic Experience

• Solid experience working with mobile and/or web products, including product metrics.
• Hands-on experience in roadmap creation and participation in both long-term and sprint planning.
• Experience contributing to product strategy in close collaboration with Product Managers.
• Ability to work with analytics and A/B testing: formulating hypotheses, validating them through data analysis.

Leadership, Facilitation, and Communication

• Confident collaboration with stakeholders at all levels, ability to conduct business discussions and drive alignment.
• Experience in leading the business analysis direction — mentoring, reviewing requirements, supporting the BA practice.
• Strong facilitation skills: interviews, discovery phases, workshops, prioritization, roadmap sessions.
• Ability to resolve conflicts and maintain focus on delivering value.

Would Be a Plus: Experience in the e-commerce domain.

Growth Focus:This role is designed with a growth path to Lead Business Analyst, including responsibility for establishing BA practices, aligning BA processes, mentoring junior analysts, and participating in strategic product decision-making.

Tech Level: Senior
Language Proficiency: Upper-Intermediate+ English
FTE: 2
Employment Type: Full-time, Long-term, b2b contract
Candidate Location: Europe (preferably within CET/CEST time zone)

Project Description

We are looking for Data Analysts to strengthen the Data Team while several members are allocated to another project. The mission is to drive data-led decision-making and support the organization’s digital and analytical transformation.

Role & Responsibilities

As Data Analysts, you will:

• Collaborate with business units to understand strategic and operational needs, designing actionable solutions across data products.
• Contribute to the strategic development of the data tools ecosystem to build a truly data-driven organization.
• Automate manual reporting processes, ensuring scalability and efficiency.
• Partner with data integration and ingestion teams to maintain reliable, high-quality pipelines.
• Promote a culture of data-driven decision-making across the company.
• Support the design and implementation of end-to-end data solutions (integration, QA, visualization).
• Apply advanced data visualization techniques to deliver engaging and impactful insights.
• Communicate current analytics capabilities and future roadmap clearly to senior stakeholders.

Candidate Profile

We are looking for professionals with strong analytical skills, technical expertise, and the ability to collaborate across diverse teams.

✅ Must-Have:

• 5+ years of experience in Business Intelligence / Analytics roles within large, complex organizations.
• Strong focus on data quality, precision, and detail.
• Proven ability to manage multiple priorities in fast-paced environments.
• Expertise in data visualization & dashboarding, with advanced Power BI knowledge.
• Strong skills in SQL and DAX.
• Excellent English communication skills (verbal & written).
• Master’s degree in Statistics, Mathematics, Computer Science, Economics, Physics, or related field (or equivalent experience).

➕ Nice-to-Have:

• Industry experience in travel & tourism.
• Familiarity with dbt, Google Tag Manager, Google Analytics, and Python.

About the Role

For the client, the Analytics Engineer is a 100% engineering position. This role focuses exclusively on building, maintaining, and optimizing data pipelines and workflows within our services and data warehouses, using our ingestion and orchestrator tools.

This is fundamentally different from a Data Analyst, whose primary responsibility is keeping in touch with business and analyzing data to draw business insights. While analytics engineers must understand analytical requirements, their tasks are purely technical and revolve around engineering best practices—data modeling, system integration, and process automation—not direct analysis or interpretation of business data. In essence, this role is engineering at its core.

As an Analytics Engineer, you will deliver high-quality data solutions within agreed SLAs and budget.

Responsibilities:

• Designing and maintaining data pipeline architectures
• Assembling large, complex datasets for business needs
• Implementing process improvements (automation, scalability, optimization)
• Building analytics tools for actionable insights (customer acquisition, efficiency, KPIs)
• Supporting data design and modeling within an Enterprise Data Platform in a cloud environment
• Collaborating within an agile team and ensuring compliance with operational procedures

What We’re Looking For

• Strong experience in building & maintaining scalable data pipelines and ETL/ELT processes
• Advanced SQL + hands-on Snowflake experience
• Knowledge of relational & NoSQL databases optimized for analytics
• Proficiency in dbt (data modeling, transformation workflows, testing)
• Airflow (or similar) workflow orchestration experience
• Strong Python for pipelines & data processing
• Familiarity with other programming languages (e.g., Java, Scala, C++) is a plus.
• Experience with AWS data services (Lambda, Glue, Kinesis, S3, Redshift) and real-time/streaming pipelines
• Knowledge of Power BI / Tableau
• Strong analytical and implementation skills.
• Excellent English communication skills (explaining technical concepts to senior stakeholders)

We are looking for an SMM to join our team. This role will involve the creation of the content plan, content for Twitter and Telegram, and timely posting, engaging with the audience as well as the implementation of our retention strategy for all brands.

Would you like to develop your skills and your career at an innovative company that will take your career to the next level? Then we would love to hear from you!

HOW YOU WILL MAKE AN IMPACT

• Drive overall social strategy from concepting ideas to execution with Twitter and Telegram as the focus.
• Support a ton of voice for the projects across social media.
• Prepare and execute events on social media such as Giveaways, tournaments, bonuses other cross-marketing campaigns.
• Engage with the audience in social media.
• Close collaboration with designers, copywriters, and other specialists;
• Coordinate with the product teams to be up to date on upcoming events and plans for projects development.
• Identify growth opportunities across social media platforms.
• Monitoring and analysis of the effectiveness of published content.

WHAT WILL HELP YOU SUCCEED IN THE ROLE

• To feel comfortable with the freedom you will receive, you will definitely need more than 1 year of relevant gambling experience;
• You'll have to present successful cases of your work with Twitter, Telegram, etc.;
• We'll expect you to show your experience in building creative content, briefs, presentations, infographics, etc.;
• Knowledge and interest in the iGaming industry;
• Your English level has to be Intermediate or higher.

HOW WE WILL KEEP YOU SMILING

• We offer flexible working hours and remote work setup, enabling you to plan your work around your life and not your life around work!
• We offer unlimited vacation days, and we provide sick leave of paid.
• We are ready to offer relocation support for candidates.
• A competitive compensation that values the skills and experience you bring.
• Employee referral bonus and gifts for your special days.
• Financial support in 50% for learning expenses to help you in your professional growth!
• With us, you will experience a positive atmosphere and a company culture where people are valued above all else. You'll also have the opportunity to participate in fun team-building activities.

DevOps Hands-On Architecture, GCP, GKE, CI/CD, IAAS as a Code, Configuration Management tools, Security and Networking, Linux, Distributed tracing systems

Profisea is an Israeli DevOps and Cloud boutique company with a full cycle of services. For more than nine years, we have been implementing best practices of GitOps, DevSecOps, and FinOps, and providing Kubernetes-based infrastructure services to help businesses of all sizes —SMB, SME, or large enterprise clients to stay innovative and effective. 

Requirements: 

• 5 years’ experience as a DevOps Engineer and at least 1 year experience in practical development of DevOps Architecture 
• High Proficiency in GCP 
• Proven Experience with GKE 
• Proven Experience with CI/CD tools, IAAS as a Code. 
• Good understanding of infrastructure related components and protocols – Networking, Security, Virtualization 
• Git usage skills and branching strategies understanding 
• English: Upper-intermediate+ 

Your Responsibilities: 

• Be a part of international team of experts with a warm and friendly atmosphere 
• Build cloud-based and open-source tools-based DevOps solutions for our highly technological and well-established customers 
• We promise to surprise you with exciting new projects from a variety of industries. 
• All we need from you is your desire to do great things! 

What We Offer: 

• Great Salary  
• Flexible working hours 
• Professional certifications support 
• Rewarding working environment and flexible career opportunities 

NuxGame works with iGaming operators of all sizes, helping companies enter new markets or strengthen existing brands. As a company developing software for gaming casinos, NuxGame offers solutions that allow you to create outstanding brands and achieve your business goals. We invite an IT Recruiter to join our team.
 

What will your responsibilities include:
 

• Using resources to search for candidates: linkedin, djinni, job sites, boolean search, x-ray search;
• Evaluating resumes and professional skills of candidates;
• Supporting communication with candidates during the selection process;
• Maintaining a database of candidates, updating information.
• Conducting interviews with candidates
   

What we expect from a candidate:

• Experience in recruiting from 2 years
• Experience in searching on platforms Linkedin, Djinni, Work.ua, etc.
• English level: Upper-Intermediate or higher
   

What We Offer:
 

• Work Format: Remote work format.
• Working Hours: Typically 09:00/10:00 to 17:00/18:00 (Kyiv time) (Monday-Friday).
• Compensation: Timely payment of competitive wages (salary).
• Employment: Official employment.
• Leave: 24 days of vacation annually.
• Team Environment: A friendly team and pleasant atmosphere without pressure or stress; open and democratic work organization.
• Projects: Interesting work on successful projects within the dynamic iGaming sector

We are looking for a Promo Manager to join our team. This role will involve the creation and timely delivery of emails, as well as the implementation of our retention strategy for all brands. Would you like to develop your skills and your career at an innovative company that will take your career to the next level? Then we would love to hear from you!

HOW YOU WILL MAKE AN IMPACT

• You will be responsible for the creation and sending on time of emails for our brands;
• You'll have to user segmentation;
• Your task will include setting up and checking the operation of bonuses;
• We expect you to post promotional material on the websites;
• You'll fully support the process of forming emails as well as cooperate with copywriters, designers, games, and the product team;
• We will expect you to work with analytics to present reports campaigns success rates and explore the motivation of our customers;
• You'll be responsible for the data collection regarding best practices in the existing market.

WHAT WILL HELP YOU SUCCEED IN THE ROLE

• You'll have at least 1 year of experience in the email marketing field;
• We expect you to have an understanding of how to create emails, and bonuses in Customer.io;
• Your English level needs to be intermediate or higher;
• We will count on your understanding and insights about the process of user segmentation and content personalization;
• We expect you responsible and attention to details.

WHY YOU’LL LOVE IT HERE:

• Flexible working hours and a remote work setup, so you can plan work around your life and not your life around work!
• Unlimited vacation days and paid sick leave—because your rest matters.
• A competitive compensation that truly reflects your skills and expertise.
• Employee referral bonus and gifts to celebrate your special occasions.
• 50% financial support for learning expenses to supercharge your professional growth!
• A positive atmosphere where you always feel respected and truly belong.
• Inspirational team-building activities that turn colleagues into best friends.
• Wellness benefits: We’ll support your sports passions, from yoga classes to gym memberships.
• Co-working space reimbursement to save your nerves from always working from home :)

Core Responsibilities

• Design, develop, and maintain backend services in Node.js to support data-driven dashboards.
• Build efficient data pipelines for aggregating, transforming, and preparing data from multiple sources (databases, APIs, flat files).
• Develop and optimize RESTful or GraphQL APIs to feed dashboard frontends.
• Collaborate with frontend engineers, data analysts, and product managers to define dashboard requirements.
• Implement data models and storage solutions (SQL/NoSQL) for efficient querying.
• Optimize data queries and API responses for real-time or near real-time dashboard updates.
• Ensure data integrity, consistency, and accuracy in all visualizations.
• Integrate authentication and authorization for secure dashboard access.
• Participate in code reviews, testing, and deployment processes.
• Work schedule: 4:00 PM – 12:00 AM (Kyiv time)

Required Skills & Qualifications

• 3+ years of professional experience with Node.js in backend development.
• Strong knowledge of JavaScript (ES6+) and familiarity with TypeScript.
• Proficiency with SQL and at least one relational database (PostgreSQL, MySQL) and/or NoSQL database (MongoDB, Redis).
• Experience building REST APIs and/or GraphQL APIs.
• Solid understanding of data structures, ETL processes, and data modeling.
• Familiarity with dashboard frameworks (e.g., Metabase, Superset, Grafana) or integrating with charting libraries (e.g., Chart.js, D3.js, Highcharts).
• Knowledge of API authentication methods (JWT, OAuth2) and role-based access control.
• Understanding of performance optimization for backend services and database queries.
• Proficiency with Git and collaborative development workflows.
• Basic knowledge of Docker or containerized environments.

ARRISE sets the benchmark for service delivery and excellence in the iGaming industry. Playing a key role in the success of its clients, which include Pragmatic Play, a brand relied upon by the world’s biggest online casinos for its cutting-edge products, ARRISE helps to deliver exceptional gaming experiences to millions of players worldwide.

Our global team of talented and driven professionals are shaping the future of iGaming. Headquartered in Gibraltar, we have offices spanning Canada, India, the Isle of Man, Latvia, Malta, Romania, Serbia, Bulgaria, and the UAE, and more exciting destinations on the horizon.

At ARRISE, we take pride in creating growth opportunities at all levels, constantly investing in our people while welcoming new colleagues and forging strategic partnerships that open new opportunities for success. To achieve this, we bet on ourselves. We know that success is a collective effort, and our team is driven by ambition, collaboration, and a shared commitment to grow and succeed—while embracing every step of the journey.

Be part of the future of iGaming with ARRISERS! See a job that excites you? Apply now, and our friendly recruitment team will connect with you soon. Your journey starts here!

Required Skills:

- 5+ years of hands-on experience in commercial software development using Java.

- Solid understanding of Object-Oriented Programming (OOP) concepts and proficient in applying design patterns.

- Extensive expertise in Java Core and the Spring framework (including Spring Boot, Spring Web, Spring Data).

- Proficiency in vanilla JDBC for database interactions.

- Strong understanding of RDBMS concepts and SQL, with experience working with databases such as PostgreSQL

- Experience with distributed messaging systems, particularly RabbitMQ.

- Proven track record in the development of microservices and distributed transactional systems.

- Knowledge of fundamental design principles for building scalable and highly available applications.

- Good foundation in algorithms, design patterns, and data structures.

- Proficiency in unit/functional testing frameworks such as JUnit 4/5, Spock, and Testcontainers.

Will be a plus:

- Familiarity with NoSQL databases like Redis.

- Experience with Kubernetes and Nomad

- Experience with AWS services

- Experience with Oracle databases

- Experience in application and infrastructure monitoring.

- Proven ability to troubleshoot production problems related to software applications.

- Exposure to high-load systems.

- Good spoken and written English skills.

Responsibilities.

As a Java Software Engineer, you will play a pivotal role in engineering and implementing a high-loaded enterprise system that serves tens of thousands of users logging into our product every day. Your responsibilities will include:

- Collaborating with cross-functional teams to design, develop, and maintain robust software solutions that meet the needs of our enterprise-level system.

- Architecting scalable and efficient Java-based components to ensure optimal performance under high load.

- Implementing best practices in software engineering, including code reviews, testing methodologies, and documentation standards.

- Optimizing system performance and reliability through continuous monitoring, troubleshooting, and performance tuning.

- Participating in the entire software development lifecycle, from requirements gathering and design to deployment and support.

- Staying up-to-date with the latest technologies and industry trends to continuously improve our system architecture and development processes.

Company offers:

- Long-term employment.

- Flexible timetable.

- Comfortable working conditions.

- Paid vacation and sick leaves.

- English lessons, gym.

- Competitive salary level