Jobs Data & Analytics

ERP Support Consultant

Help businesses get the most from their ERP software.

We're looking for a motivated and tech-savvy ERP Support Consultant to join our team. We specialise in implementing and supporting business management and accounting software, helping organisations improve efficiency and grow through technology.

What You'll Do

• Support clients with ERP system issues and queries
• Configure and maintain business software solutions
• Provide guidance and user training
• Design and modify reports
• Manage change requests and system improvements

• Work closely with our development team to deliver customer solutions

   

What We're Looking For

✅ Good written and spoken English
✅ Strong problem-solving skills and a willingness to learn
✅ Good Microsoft Excel skills
✅ Ability to work independently and manage priorities effectively

Bonus Skills

• Finance, Accounting or Bookkeeping knowledge
• ERP or Accounting software experience
• SQL knowledge
• Data import/export and data management experience
• Crystal Reports or other reporting tools

The Right Person

You'll be someone who is:

• Ambitious, self-motivated and eager to develop new skills
• Detail-oriented and committed to delivering high-quality work
• Professional, reliable and proactive in communication
• Comfortable working to deadlines and managing multiple priorities
• A natural problem solver who enjoys helping customers

Why Join Us?

• Work with a variety of businesses and industries
• Gain hands-on experience with ERP, reporting, databases and business processes
• Learn from experienced consultants and developers
• Grow your career in a dynamic and supportive environment

If you're passionate about technology, business systems and helping customers succeed, we'd love to hear from you.

About the Project

We are looking for a Data Analyst to join an international project focused on large-scale data aggregation and operational support. This role combines data analysis with operational responsibilities, offering an opportunity to work closely with both internal teams and the client.

Responsibilities

• Analyze large datasets and provide actionable insights.
• Validate business hypotheses and support data-driven decision-making.
• Write, optimize, and maintain SQL queries.
• Investigate client-reported issues and perform data validation.
• Conduct root cause analysis and assist in resolving operational incidents.
• Support day-to-day operational processes and client requests.
• Collaborate with cross-functional teams and stakeholders.

Requirements

• Solid knowledge of SQL, Python, and Excel.
• Strong self-management and ability to work autonomously.
• Experience working in distributed or remote teams.
• Ability to operate effectively in a dynamic, operational environment.

• Flexibility to occasionally support business needs outside standard working hours.

   

Working Conditions

• Working schedule: Sunday–Thursday (Ukraine time zone).
• Strong focus on information security and data confidentiality.

Hiring process

1. HR interview
2. Logic assissment
3. Python assissment 
4. Technical interview
5. Client interview

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.

You'll be a great fit if you have:

- 3+ years of hands on 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.

Would be a plus:

- Cassandra/Scylla
- PostgreSQL
- Pandas
- Experience with Kafka and Redis

What you'll do:

- 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.

We ensure your growth with:

- 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.

We are looking for an AI/ML Research Scientist.

Requirements:

• PhD with 1+ years of research experience in Electrical Engineering, Computer Science, Information Systems, or a STEM-related field
• 1+ years of experience with modern machine learning architectures including Transformers, Graph Neural Networks, and Diffusion models
• Strong coding skills in Python and C++
• Experience with machine learning frameworks like PyTorch
• At least 1 publication in top machine learning conferences (NeurIPS, ICML, ICLR, etc.)
• Experience with deep learning on graphs (general graphs, circuit graphs, molecular graphs, or trees)
• Familiarity with classical search and optimization techniques (Genetic Algorithms, Monte-Carlo Tree Search, Dijkstra's Algorithm, etc.)
• Experience with EDA tools, either commercial or open-source
• Publications in top-tier venues focusing on AI for chip design or AI for materials science. 

This is a fantastic opportunity to join a fast-growing company at the heart of the digital revolution. Our software product is revolutionising manufacturing through automation. We are trusted by global brands and work across sectors (mobility, consumer goods, machinery etc).

We have a talented and ambitious team. We value integrity and are passionate about our mission to revolutionise advanced manufacturing.

This is your opportunity to:

• Be part of an AI product company in advanced manufacturing.
• Be part of a research focused team.

Responsibilities: 

• Research, test and develop generative AI based solutions.
• Collaborate with mechanical engineers to enhance your research.
• Design and implement end-to-end AI solutions that integrate with existing systems.
• Collaborate with software engineers and product teams to understand business needs and translate them into technical solutions. 
• Research emerging AI trends and techniques to continually improve the AI solution offerings. 
• Prepare and maintain documentation on design, code, and processes to ensure organizational knowledge retention. 
• Monitor and evaluate the performance of AI systems in production, identifying areas for improvement or further development.

You will be joining a well-versed team if you have:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. 
• Proven experience in developing generative AI or machine learning models.
• Commercial experience in using large language models.
• Programming skills in languages such as Python or JavaScript.
• Familiarity with databases (SQL, NoSQL). 
• Solid understanding of deep learning, NLP, computer vision, or other specialized areas within AI is a plus. 
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Good communication skills and the ability to translate complex technical concepts to non-technical stakeholders. 
• Commitment to continuous learning and development in the field of AI and emerging technologies

Important: after confirming your application on this platform, you’ll receive an email with the next step: completing your application on our internal site, LaunchPod. So keep an eye on your inbox and don’t miss this step — without it, the process can’t move forward.

Why join us

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :)

About the role

We are looking for a Lead Data Architect to design and evolve healthcare data architecture, lead database modernization initiatives, and define interoperability strategy using HL7 and FHIR standards for a large-scale primary healthcare platform operating across Africa. You will design integration approaches for EMR, laboratory, pharmacy, and national health systems, working across SQL Server, PostgreSQL, and NoSQL databases in distributed system environments. The role includes mentoring engineers and supporting analytics, AI initiatives, and data governance practices.

What you will do

• Design and evolve healthcare data architecture and data models;
• Lead database modernization, optimization, and scalability initiatives;
• Define healthcare interoperability strategy using HL7 and FHIR;
• Design integration approaches for EMR, laboratory, pharmacy, and national health systems;
• Collaborate with engineering teams on architecture decisions;
• Support analytics, reporting, and future AI initiatives;
• Improve data quality, governance, and performance;

• Mentor engineers on database and integration best practices.

   

Must haves

• 7+ years of experience in Data Engineering, Data Architecture, or Solution Architecture;
• Strong experience with SQL Server and/or PostgreSQL;
• Experience with NoSQL databases;
• Enterprise data modeling experience;
• Experience with REST APIs and system integrations;
• Experience with distributed systems;
• Strong architecture and design skills;
• Experience with HL7 and/or FHIR;
• Experience designing enterprise-grade database schemas and healthcare data models;
• Strong understanding of scalable software architecture and performance optimization;
• Experience working in Agile/Scrum environments;

• Upper-intermediate English level.

   

Nice to haves

• Experience with AI/ML tools to accelerate software development and testing;
• Experience with healthcare, EMR, or EHR systems;
• Experience with analytics or data warehouse solutions;
• Experience in public health or other regulated industries.

The benefits of joining us

• Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
• Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
• A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
• Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Meet Our Recruitment Process

Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback:

• Short online form to confirm basic requirements
• 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process.
• 5-minute introduction video

Synchronous stage – Live interviews

• Technical interview with our engineering team (scheduled at your convenience)
• Final interview with your future teammates
•  

If it’s a match — you’ll get an offer!

Your future responsibilities:

• Collaborate with business owners to clarify their requirements for new or enhanced business processes/products
• Identify and document key business processes/workflows
• Prepare specification documents for approved decisions
• Develop a system level view to ensure consistency in requirements
• Facilitate the alignment of end user requirements with system capabilities
• Explore integration points with external/internal systems and help development teams with integration
• Collaborate with development teams to understand architecture implications for business decisions

Your skills and experience:

• 3+ years of relevant professional experience in the financial/banking industry, preferably in Product management
• Experience of working as Business Analysis, System Analysis in Agile environment (Scrum framework)
• Requirements modeling and elicitation (backlog management, clarification to the team)
• Excellent analytical skills, ability to design/describe data flow/sequence diagrams and business processes
• Facilitating Product Backlog Refinements, presenting logic, business rules to the team, Dependency mapping
• Requirements clarification to the team
• Maintaining the dependency map and the traceability matrix.
• Experience in API specification, web-services and integration scenarios (including data flow & logic of components for integration
• Strong problem solving skills, attention to details and result-oriented mindset
• English level — Intermediate (or higher)

We offer what matters most to you:

• Competitive salary: we guarantee a stable income and annual bonuses for your personal contribution. Additionally, we have a referral program for attracting new colleagues to Raiffeisen Bank.
• Social package: official employment, 28 days of paid leave, additional “maternity leave” for fathers, and financial assistance for parents at the birth of children.
• Comfortable working conditions: the possibility of a hybrid work format, offices equipped with shelters and generators, provision of modern equipment.
• Wellbeing program: all employees have access to health insurance from the first working day; consultations with a psychologist, nutritionist or lawyer; discount programs for sports and shopping; family days for children and adults; massage in the office.
• Training and development: access to over 130 online educational resources; corporate training programs in CX, Data, IT Security, Leadership, Agile. Corporate library and English lessons.
• Cool team: our colleagues are a community where curiosity, talent and innovation are welcomed. We support each other, learn together and grow. You can find like-minded people in more than 15 professional communities, reading or sports clubs.
• Career opportunities: we encourage advancement within the bank between functions.
• Support program for defenders: we keep jobs and pay the average salary to mobilized people. We have a support program for veterans, and the Bank’s veteran community is developing. We are working to raise awareness among managers and teams about veterans’ return to civilian life. Raiffeisen Bank is recognized as one of the best employers for veterans (Forbes)

Why Raiffeisen Bank?

• Our main value is people, and we support and recognize them, educate them and involve them in changes. Join Raif’s team because for us YOU matter!
• One of the largest lenders to the economy and agricultural business among private banks
• Recognized as the best employer by EY, Forbes, Randstad, Franklin Covey, and Delo.UA
• The largest humanitarian aid donor among banks (Ukrainian Red Cross, UNITED24, Superhumans, СМІЛИВІ)
• One of the largest IT product teams among the country’s banks. One of the largest taxpayers in Ukraine, 6.6 billion UAH were paid in taxes in 2023.

Opportunities for Everyone:

• Rife is guided by principles that focus on people and their development, with 5,500 employees and more than 2.7 million customers at the center of attention
• We support the principles of diversity, equality and inclusiveness
• We are open to hiring veterans and people with disabilities and are ready to adapt the work environment to your special needs
• We cooperate with students and older people, creating conditions for growth at any career stage

Want to learn more? — Follow us on social media:

Facebook, Instagram, LinkedIn

______________________________________________________________________

Твої майбутні обов’язки: 

• Співпрацювати з власниками бізнесу для уточнення їхніх вимог до нових або вдосконалених бізнес-процесів/продуктів
• Визначати та документувати ключові бізнес-процеси/робочі процеси
• Підготовлювати специфікації для затверджених рішень
• Розробляти системний підхід для забезпечення узгодженості вимог
• Сприяти узгодженню вимог кінцевих користувачів із можливостями системи
• Досліджувати точки інтеграції із зовнішніми/внутрішніми системами та допомагати командам розробників з інтеграцією
• Співпрацювати з командами розробників для розуміння впливу архітектури на бізнес-рішення

Твій досвід та навички:

• 3+ роки відповідного професійного досвіду у фінансовій/банківській галузі, бажано в управлінні продуктами
• Досвід роботи бізнес-аналітиком, системним аналітиком у Agile-середовищі (Scrum framework)
• Моделювання та виявлення вимог (управління беклогом, роз'яснення команді)
• Відмінні аналітичні навички, здатність розробляти/описувати діаграми потоків/послідовностей даних та бізнес-процеси
• Сприяння уточненню беклогу продукту, представлення логіки, бізнес-правил команді, картування залежностей
• Роз'яснення вимог команді
• Ведення карти залежностей та матриці відстеження.
• Досвід роботи зі специфікацією API, веб-сервісами та сценаріями інтеграції (включаючи потік даних та логіку компонентів для інтеграції)
• Сильні навички вирішення проблем, увага до деталей та орієнтований на результат спосіб мислення
• Рівень англійської мови — середній (або вище)

Пропонуємо те, що має значення саме для тебе:  

• Конкурентна заробітна плата: гарантуємо стабільний дохід та річні бонуси за твій особистий внесок. Додатково, у нас діє реферальна програма винагороди за залучення нових колег до Райффайзен Банку.  
• Соціальний пакет: офіційне працевлаштування, 28 днів оплачуваної відпустки, додатковий «декрет» для татусів, та матеріальна допомога для батьків при народженні дітей.  
• Комфортні умови праці: можливість гібридного формату роботи, офіси забезпеченні укриттями та генераторами, забезпечення сучасною технікою. 
• Wellbeing програма: для всіх співробітників доступні медичне страхування з першого робочого дня; консультації психолога, нутриціолога чи юриста; дисконт програми на спорт та покупки; family days для дітей та дорослих; масаж в офісі.  
• Навчання та розвиток: доступ до понад 130 навчальних онлайн-ресурсів; корпоративні навчальні програми з CX, Data, IT Security, Лідерства, Agile. Корпоративна бібліотека та уроки англійської.  
• Крута команда: наші колеги – це спільнота, де вітаються допитливість, талант та інновації. Ми підтримуємо один одного, вчимося разом та зростаємо. Ти можеш знайти однодумців у понад 15-ти професійних ком’юніті, читацькому чи спортивному клубах.  
• Кар'єрні можливості: ми заохочуємо просування всередині банку між функціями. 
• Інновації та технології. Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go(infra,security), Swift (IOS), Kotlin (Andorid). Datastores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink. 
• Програма підтримки захисників і захисниць: ми зберігаємо робочі місця та виплачуємо середню заробітну плату мобілізованим. Для ветеранів та ветеранок у нас діє програма підтримки, розвивається ветеранська спільнота Банку. Ми працюємо над підвищенням обізнаності керівників та команд з питань повернення ветеранів до цивільного життя. Райффайзен Банк відзначений як один з найкращих роботодавців для ветеранів (Forbes).

Чому Райффайзен Банк?  

 Наша головна цінність - люди і ми даємо їм підтримку і визнання, навчаємо, залучаємо до змін. Приєднуйся до команди Райфу, адже для нас ТИ маєш значення!  

• Один із найбільших кредиторів економіки та аграрного бізнесу серед приватних банків  
• Визнаний найкращим працедавцем за версіями EY, Forbes, Randstad, Franklin Covey, Delo.UA  
• Найбільший донор гуманітарної допомоги серед банків (Червоний Хрест України, UNITED24, Superhumans, СМІЛИВІ)  
• Одна з найбільших ІТ-продуктових команд серед банків країни  
• Один із найбільших платників податків в Україні, за 2023 рік було сплачено 6,6 млрд гривень 

Можливості для всіх:  

• Райф керується принципами, що фокусуються на людині та її розвитку, у центрі уваги 5 500 співробітників та понад 2,7 мільйони клієнтів   
• Підтримуємо принципи різноманіття, рівності та інклюзивності
• Ми відкриті до найму ветеранів і людей з інвалідністю та готові адаптувати робоче середовище під ваші особливі потреби
• Співпрацюємо зі студентами та людьми старшого віку, створюючи умови для зростання на будь-якому етапі кар’єри

В Райфі ти маєш значення!  

Бажаєш дізнатися більше? – Підписуйся на нас у соц.мережах: Facebook, Instagram, LinkedIn  

• A next-generation cross-asset data management platform to provide globally consistent data and innovative tools to support business strategy for trade/sales clients, which is built on big data architecture, highly scalable, and cloud-ready. The platform enables industry-leading analytics, client reporting, regulatory compliance, surveillance, supervisory reporting, and data science solutions (data flame). The project tech stack: Java, Scala, Spring, SQL, Kafka, Hadoop.
  
  We are looking for a strong Senior Java Developer capable of being able to work within the team, being a mentor for team members, communicating with stakeholders, and being accountable for the outcomes of activities that are assigned.
  
  The role of the involves working with strong development teams (2 Senior Java Developers), the opportunity to work with big data, improving knowledge in this domain, and utilizing the resources of an international bank.
   

• Responsibilities:

  • Design and build frameworks for ingesting/modeling the complex Risk data
  • Develop Low latency caching to service Front office risk systems
  • Setup monitoring and management for services
  • Provide SME support for development of automated QA scripts
   

• Mandatory Skills Description:

  • Strong knowledge of Big Data technologies: Hadoop Ecosystem (HDFS, Impala, HIVE, HBASE, etc.) and Apache Spark.
  • At least 5 years of experience in software development, including professional backend software development experience;
  • Strong Knowledge of Java programming languages
  • Should be familiar with algorithms and design patterns
  • Familiarity with Linux environment, including scripting skills
  • Designing and building APIs (Java);
  • Java Server-side or Back-end development;
  • Core Java;
  • Java collections and multithreading;
  • Java Memory Management;
  • Database and SQL (writing stored procedures, designing table schemas).
  • Understanding of distributed systems.
  • Understanding of CI/CD workflow.
  
  • Ability to multi-task and work under pressure.
  • Ability to pick up new concepts and apply the knowledge.
  • Demonstrated problem-solving skills.
  • Enthusiastic and proactive approach with a willingness to learn.
  • The candidate is expected to be dynamic and flexible with a high energy level as this is a demanding and rapidly changing environment

Mirko Solutions is an international IT company specializing in web and mobile development for clients across the US, Canada, EU, and Australia. We are growing rapidly and are looking for a Middle+/Senior Data Scientist to join our team and work on data-driven solutions, advanced analytics, and business intelligence projects.

This is currently a part-time opportunity with the possibility of transitioning to a full-time position in the future based on project needs and successful collaboration.

Job Requirements:

• 5+ years of professional experience in Data Science, Machine Learning, or Advanced Analytics
• Strong hands-on experience with Python for data analysis, modeling, and automation
• Proven experience working with Power BI for data visualization, reporting, and building interactive dashboards
• Strong knowledge of statistical analysis, predictive modeling, and machine learning algorithms
• Experience with data preprocessing, feature engineering, model evaluation, and optimization
• Solid understanding of data pipelines and working with large datasets
• Experience with SQL and relational databases
• Experience deploying and maintaining data science solutions in production environments
• Understanding of cloud platforms (AWS/GCP/Azure) and modern data ecosystems is a plus
• Strong analytical thinking and ability to translate business requirements into data-driven solutions
• Excellent collaboration and communication skills in English
• Ownership mindset, curiosity, and ability to work independently in a fast-paced environment

Responsibilities:

• Develop and implement data science solutions to support business decision-making
• Analyze complex datasets, identify trends, and provide actionable insights
• Build predictive models and machine learning solutions based on business needs
• Perform data preparation, cleaning, transformation, and feature engineering
• Create and maintain interactive dashboards and reports using Power BI
• Develop data analysis workflows and automation scripts using Python
• Collaborate with engineering, product, and business teams to define analytical approaches and deliver impactful solutions
• Monitor model performance and improve existing data-driven solutions
• Contribute to data quality improvements, analytics processes, and best practices
• Document methodologies, models, and analytical results

Nice to have:

• Experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, XGBoost
• Experience with cloud data platforms and services (AWS SageMaker, Azure ML, Google Vertex AI, Databricks)
• Experience with data visualization libraries (Matplotlib, Seaborn, Plotly)
• Knowledge of Big Data technologies (Spark, Hadoop)
• Experience with MLOps practices, model versioning, and deployment workflows
• Familiarity with LLMs, Generative AI solutions, or NLP approaches

We provide the following for our employees:

• Competitive salary according to qualification
• Comfortable working environment
• Experienced colleagues
• Opportunity to work on interesting international projects
• Regular performance reviews
• Professional growth opportunities
• Friendly atmosphere and care for the comfort of professionals

escription

Data Solutions team is at the heart of the business, building the data
products and analytical capabilities that underpin our Decision Engine platform, power vehicle
intelligence, and drive performance insight across the organisation.

As Analytics Engineer, you will sit at the intersection of data engineering, data science, and product
delivery. You will be the dedicated technical resource for the Decision Engine Product Manager,
Vehicle Data Lead, and Lead Data Scientist, enabling faster, more rigorous analysis, cleaner data
pipelines, and more reliable analytical outputs across all three workstreams.
This is a high-impact, high-visibility role for someone who is technically strong, commercially
curious, and energised by working across diverse product and science problems in a fast-moving
environment.

Data Solutions is a team of approximately 15 across Decision Engine product, Data Science,
Operational Reporting, and Vehicle Data & Platform. We operate in a hybrid model and value
autonomy, rigour, and genuine curiosity about the commercial problems we are solving.

Requirements

Essential
• Strong SQL and Python skills, with practical experience building and maintaining data
transformation pipelines
• Hands-on experience with a modern data stack (Databricks, dbt, or equivalent)
• Ability to translate ambiguous analytical requirements from product managers, data
scientists, and business stakeholders into reliable, well-documented pipelines
• Experience working in a commercial or product-focused data environment
• Strong understanding of data modelling principles — from raw ingestion through to analytical
layer design
• Comfortable working across multiple concurrent workstreams with competing priorities
• Clear, confident communicator — able to explain technical approaches to non-technical stakeholders
Desirable
• Experience with automotive, marketplace, or pricing/valuation data
• Familiarity with ML feature engineering and supporting data scientists in production
environments
• Exposure to Rally, Jira, or similar agile delivery tooling
• Knowledge of data governance, lineage, and cataloguing practices
• Experience with A/B testing frameworks or experimentation analytics

🟢 Dev.Pro is a global team of IT professionals helping tech companies scale their business through software engineering expertise. Operating as a remote-first company, our developers work across 55+ countries on five continents, giving us the flexibility and skillset to deliver high-quality engineering for projects of any size or complexity. Clear communication and following through on our commitments are at the core of how we work. Our people have the freedom to work from anywhere, along with the opportunity to grow — both professionally and personally — as part of a diverse, dedicated team.
 

We invite a Senior Database Administrator with MySQL expertise to join a large-scale database modernization initiative within a Java microservices platform. The project involves upgrading production databases to a newer MySQL version, with a strong focus on system reliability, performance, and minimal user disruption. In this hands-on, high-impact role, you’ll lead end-to-end database migration activities and work closely with engineering, DevOps, QA, and architecture teams to ensure a smooth and successful transition. This is a 6-month engagement with the possibility of extension based on project needs.

🟩 What's in it for you:

• Lead a production MySQL migration, owning strategy and execution in a live, high-scale environment
• Work on a business-critical platform with 100k users, where your decisions directly impact performance, reliability, and user experience
• Collaborate across engineering, DevOps, QA, and architecture teams, solving complex, real-world migration challenges

✅ Is that you?

• 5+ years of hands-on Database Administration experience in production environments
• Proven experience with major MySQL version upgrades or large-scale database migrations
• Strong expertise in MySQL internals (indexing, query optimization, partitioning, replication, and transaction behavior)
• Strong SQL skills with the ability to troubleshoot complex performance issues
• Hands-on experience administering Linux or other Unix-like OS, with scripting skills in Bash, Python, or similar languages
• Experience with managed cloud database services (Cloud SQL, Amazon RDS, or equivalent)
• Experience with production database operations (backup/restore, high availability, disaster recovery, failover)
• Ability to plan and execute database changes with minimal downtime
• Ability to work independently while collaborating effectively across technical teams
• Strong communication skills and ability to lead technical discussions

Desirable:

• Good understanding of Java application environments, JDBC, and microservices database interactions
• Experience migrating microservices-heavy platforms with shared and service-specific databases
• Familiarity with MySQL 8.4 features and upgrade considerations
• Experience with monitoring and observability tools for database operations
• Knowledge of database security, encryption, and compliance best practices
• Experience with automation, infrastructure-as-code, and database tooling
• Experience as a Tech Lead for database modernization initiatives

🧩Key responsibilities and your contribution

In this role, you'll lead the end-to-end migration of MySQL databases from 5.7 to 8.4, ensuring system stability, performance, and minimal downtime.

• Analyze database schemas, queries, replication, and compatibility risks before and during migration
• Review database interaction patterns across Java microservices, including JDBC, connection pooling, and transaction behavior
• Design Cloud SQL migration strategies to minimize business disruption
• Optimize database performance by analyzing slow queries, indexing, execution plans, locking, and storage behavior
• Validate backup, recovery, replication, failover, and disaster recovery processes for production readiness
• Define database monitoring, alerting, capacity planning, and health checks
• Strengthen database security, access controls, encryption, patching, and compliance practices
• Automate database operations using scripting and infrastructure tooling
• Create migration runbooks, playbooks, and technical documentation

🎾 What's working at Dev.Pro like?

✔️ 30 paid days off per year — take them whenever you want for rest days, holidays, or personal time
✔️ 5 paid sick days, up to 60 days of medical leave, and 6 paid days off per year for major family events like weddings, funerals, or the birth of a child
✔️ Partially covered health insurance after the probation, plus a wellness bonus for gym memberships, sports nutrition, and similar needs after 6 months
✔️ Grow your skills with English lessons, online training, conferences, and the option to explore new career paths

Our next steps:

✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Internal interview — ✅ Client interview — ✅ Offer

Interested? Find out more:

📋How we hire

💻 LinkedIn Page

📈 Our website

💻IG Page

Шукаємо Senior / Lead Software Engineer (Data), який допоможе будувати й масштабувати production-grade data systems: пайплайни, сервіси та storage-рішення для збору, обробки, зберігання й доставки даних. Це роль для інженера з сильним software engineering mindset, який вміє працювати не лише на рівні реалізації, а й на рівні архітектури, data modeling, reliability, performance та technical leadership. Очікуємо, що людина зможе брати end-to-end ownership за критичні data workflows і впливати на стандарти команди.
 

Обовʼязки:

• Проєктувати, розробляти та підтримувати batch/streaming data pipelines і data services.
• Приймати технічні рішення щодо ingestion, orchestration, storage, трансформацій і delivery.
• Будувати ETL/ELT-рішення з використанням Python, Airflow, Cron.
• Інтегрувати дані з API, логів, NoSQL, IoT/embedded-джерел та внутрішніх сервісів.
• Проєктувати схеми зберігання, моделі даних і структури баз даних.
• Оптимізувати рішення з погляду performance, scalability, cost та maintainability.
• Забезпечувати data quality, observability, reliability і стабільність production-процесів.
• Планувати та реалізовувати міграції даних між платформами й форматами.
• Документувати схеми, трансформації, data lineage та ключові технічні рішення.
• Брати участь у code review, design discussions, incident resolution.
• Менторити інших інженерів і розвивати engineering standards у data-напрямку.
   

Вимоги:

• Значний досвід як Senior / Lead Software Engineer, Data Engineer або Backend Engineer у data-intensive середовищі.
• Сильний Python і досвід побудови production-ready рішень.
• Досвід роботи з Apache Airflow.
• Досвід роботи з MongoDB або іншими NoSQL-рішеннями.
• Сильне розуміння проєктування баз даних і data models: schema design, indexing, normalization/denormalization.
• Досвід роботи з великими обсягами даних, high-throughput або streaming workloads.
• Досвід із Azure Blob Storage або аналогічними object storage.
• Впевнене знання SQL та оптимізації запитів.
• Глибоке розуміння ETL/ELT, incremental processing, datalake/warehouse principles.
• Розуміння testing, observability, fault tolerance, idempotency, recovery для data systems.
• Досвід із Git, CI/CD, production deployment.
• Досвід технічного лідерства, mentoring, design review і роботи зі стейкхолдерами.
   

Буде плюсом:

• Snowflake, Elasticsearch
• Kafka або інші streaming-платформи
• Grafana / Prometheus
• Ansible або інші IaC / automation tools
• Power BI
• Досвід із cloud DWH, governance, lineage, internal data tools
  
  Надаємо бронювання*

About the Company and Product

We develop a legal product in the online betting and gambling industry for Asian markets. Our product ranks among the top 3 most recognizable brands in the countries where we operate. Our database contains millions of records, with hundreds of thousands of monthly active users.

Retention, monetization, and reactivation of such a large user base require a technological and data-driven approach.

Who We Are Looking For

• We are looking for a strong CRM Lead to join the CVM department, who will take full ownership of managing an established and fully functional CRM team.
• Our CRM team is not just about sending campaigns. It is a department where processes are structured according to user lifecycle stages. We have implemented a transparent grading system (from Junior to Senior), and the team works closely with the analytics department (including an ML unit), data enrichment through CDP, and complex cascading A/B tests.
• We are looking for a leader with strategic vision who can manage this expertise, act as a facilitator within the team, and drive global product metrics growth.

Responsibilities
Team Management
Setting goals, monitoring task execution, and allocating resources
Employee development, mentorship, and improving the professional maturity of the team
Strategy & Customer Journey Map (CJM)
Development and optimization of the global CRM communication strategy
Synchronizing lifecycle streams (Onboarding, Churn, Loyal) into a seamless Customer Journey Map
Performance Management
Monitoring key metrics across the entire funnel
(from STD, onboarding completion, and deliverability to LTV, GGR of the loyal segment, and reactivation conversion)
Designing and running A/B tests
Technical Infrastructure Development
Supervising integration of new channels and providers
Monitoring communication channel deliverability
Managing automation and data enrichment via CDP
Cross-Functional Collaboration
Close collaboration with the product team, analytics, and development teams
Initiating improvements to the admin panel, working on predictive models, and automating BI reporting
Budgeting & Unit Economics
Monitoring CRM budgets
Controlling target action costs (Cost per Went Online, Cost per Reactivation)
Calculating communication ROI

Candidate Requirements (Hard & Soft Skills)
 

Experience
3–5+ years of experience in CRM marketing working with databases of several million users
Leadership Experience
Proven experience managing a team
Ability to delegate tasks, estimate resources and timelines, and provide developmental feedback
Analytics & Metrics
Strong understanding of cohort analysis and unit economics
Experience working with metrics such as Churn Rate and ARPU
Ability to make decisions strictly based on data

Technical Expertise
Deep understanding of communication channels
Knowledge of deliverability principles and channel mechanics
(SMS, Push, In-App, Email, Call Center, etc.)
Experience working with CDP platforms and complex trigger chains
Strategic Thinking (Helicopter View)
Ability to see the big picture, identify risks, and design long-term testing and automation strategies
Maturity & Leadership
Ability to take responsibility for strategic decisions
Build a trust-based team environment
Act as a driver of innovation

What We Offer
Established Infrastructure
You will not be building from scratch. You will be managing an already well-established and high-performing CRM system and taking it to the next level.
Professional Team
Your team consists of Junior, Middle, and Senior specialists who are autonomous, capable of writing technical specifications for analysts, setting up complex flows, and clearly understanding their responsibilities.
Resources
Access to top industry tools, budgets for testing new hypotheses and channels, and strong support from the product and development teams to implement complex CRM infrastructure initiatives.

Equals5 is a leading Healthcare Marketing SaaS for Pharma and Life Sciences. Our platform leverages exclusive NPI-level targeting technology to help brands reach healthcare professionals across 20+ channels with precise, user-level reporting.

The Role

We are looking for a Senior Data Engineer to join the Identity team at Equals5. This is not a standard ETL role. We are building a dynamic data ecosystem where AI is deeply integrated—both as a productivity multiplier and as a core component of our data processing logic for identity data enrichment and data scoring.

You will own the infrastructure that handles over 10,000 executions per minute, ensuring stability, scalability, and data integrity. You will work with a modern stack on Google Cloud Platform, utilizing Cloud Functions and Kubernetes.

We are looking for an engineer who improves infrastructure, automates everything, and is eager to implement LLM-based logic directly into high-load data flows.

Responsibilities

• AI-Driven Data Scoring: Design and implement pipelines that utilize LLMs to analyze and score identity data in real-time. You will integrate AI models directly into the decision-making loop, balancing accuracy with latency and cost.
• Own the Data Architecture: Architect scalable data solutions using GCP and Python. You will manage data storage and retrieval using BigQuery and Apache Iceberg to support querying of TBs of data.
• Heavy Data Processing: Utilize Apache Spark for data transformations and batch processing when lightweight cloud functions are not enough.
• Manage High-Load Orchestration: Maintain and optimize our system instances. It involves complex dataflows, custom Python nodes, and performance tuning for 10k+ execs/minute.
• Release Lifecycle (CI/CD): Take ownership of the deployment process, ensuring that updates to pipelines and infrastructure are released safely with proper testing and rollback strategies.
• Database Optimization: Manage PostgreSQL performance under heavy load, optimizing complex queries and indexing strategies.
• Active AI Usage: Use Claude Code and other AI engineering tools to accelerate your own development, refactoring, and testing processes.
• Incident Resolution: Proactively monitor the system. When alerts fire, you investigate the root cause—whether it’s a database lock or an LLM hallucination—and fix it permanently.

Requirements

• 4-5+ years of experience in Data Engineering or Backend Engineering with a strong data focus.
• Production AI Integration: Experience integrating LLMs (OpenAI, Anthropic, Gemini) into production applications via API. You understand latency, token limits, and how to structure data for AI scoring.
• Expertise in GCP: Understanding of Google Cloud Platform (Cloud Functions, IAM, Networking).
• Strong Python: You write clean, efficient, and testable code. You are comfortable building custom logic where standard tools fall short.
• Big Data Stack: Experience with BigQuery, Apache Spark, and modern table formats like Apache Iceberg.
• Kubernetes (K8s): Experience deploying and scaling services in containerized environments.
• Workflow Automation: Understanding of workflow orchestration tools at a deep technical level. N8N is a big part of our domain, so familiarity with it is highly valuable.
• PostgreSQL Mastery: Proven ability to handle heavy write/read loads and optimize schemas.
• English: B2+ (Upper-Intermediate) or higher.

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 a scoring model drifts or a pipeline slows down, you notice it and fix it without being asked.
• Internal Locus of Control: You take responsibility for outcomes. If an external API fails, you build a fallback mechanism instead of just blaming the provider.
• Get It Done: You prioritize shipping value. You know when to use a simple script and when to build a complex architecture.
• Openness: You share knowledge freely. If you find a better way to prompt the AI for scoring, you share it with the team.

What We Offer

• Fully remote with flexible hours (aligned with EU timezones for syncs).
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech for both daily coding and product features.
• High-Impact Role: You will directly influence how we identify and score users, impacting the core business logic.
• Cross-functional visibility: Work closely with Product and Tech Leads to shape the future of Identity.

• No Bureaucracy: Fast decisions, no legacy processes, focus on results.

   

We are seeking a hands-on Senior DevSecOps Engineer with strong AWS and Azure experience to embed security directly into our engineering lifecycle. In this role, you will be the technical engine that automates compliance guardrails, integrates security tooling (SAST/DAST, EDR, Vulnerability Management) into CI/CD pipelines, and routes critical security telemetry to our SIEM. Your mission is to build the automated scaffolding that allows software delivery to move at high speed without compromising on enterprise security or governance.

Key Responsibilities

·  CI/CD Security Automation: Design, build, and maintain secure deployment pipelines (e.g., GitHub Actions, Azure DevOps, GitLab CI). Integrate automated vulnerability scanning, secret detection, and software supply chain security (SCA) seamlessly into the developer workflow.

·  Policy-as-Code & Guardrails: Write, test, and deploy automated policy guardrails using Infrastructure as Code (IaC) linting and scanning tools (e.g., Checkov, Tfsec, OPA/Rego) to catch misconfigurations before they reach production.

·  Security Product Deployment: Automate the baking of EDR agents, vulnerability scanners, and monitoring tools into base machine images (AMIs, Azure Golden Images) and containerized base environments.

·  Vulnerability & Remediation Pipelines: Operationalize vulnerability management by building automated workflows that ingest findings from cloud security tools, prioritize them based on risk, and route them to engineering backlogs (e.g., Jira tracking).

·  Logging & SIEM Integration: Configure and automate the pipeline delivery of application, container, and infrastructure logs to central logging repositories and SIEM systems for real-time threat hunting.

·  Developer Enablement: Serve as a bridge between Security and Engineering, providing developer-friendly remediation guidance and creating reusable, secure-by-default code templates (Terraform modules, Helm charts).

Required Skills & Qualifications

·  DevSecOps & CI/CD Pipelines: Deep, practical experience constructing and securing automated build/release pipelines at scale.

·  Multi-Cloud Platforms: Hands-on engineering experience configuring native security services and access controls in both AWS and Azure.

·  Infrastructure as Code (IaC): Advanced proficiency with Terraform or cloud-native tooling (Bicep, CloudFormation), focusing on modular design and immutable infrastructure.

·  Security Tooling Implementation: Direct experience implementing and maintaining security products across the lifecycle (e.g., SonarQube, Prisma Cloud, Wiz, Snyk, CrowdStrike, or Sentinel).

·  Container & Orchestration Security: Strong understanding of Kubernetes (EKS/AKS) security best practices, service meshes, and container runtime defense.

Preferred Certifications

·  Certified DevSecOps Professional (CDP) or Practical DevSecOps certification

·  AWS Certified Security – Specialty or Azure Security Engineer Associate

·  Certified Kubernetes Administrator (CKA) / Certified Kubernetes Security Specialist (CKS)...