Jobs Data Engineer

Gypsy Collective is looking for a DWH Engineer to join our team and help build scalable, reliable, and high-performance data warehouse solutions that support analytics and business decision-making. We are looking for an experienced and proactive engineer who can work across the full data lifecycle - from ingestion and modeling to optimization, monitoring, and automation - while collaborating closely with analysts, developers, and business stakeholders.

🧭 What makes you a great match:

• Strong SQL skills: complex queries, CTEs, window functions, analytical queries (5+ years experience);
• Knowledge of Python or other scripting languages for data transformations (4+ years experience);
• Deep understanding of DWH concepts: ETL/ELT, Data Vault, Kimball, Star/Snowflake schemas (5+ years experience);
• Experience with Airflow or other data pipeline orchestrators (5+ years experience);
• Hands-on experience with modern DWH and query engines: BigQuery, Snowflake, Redshift, ClickHouse, Vertica, AWS Athena, Trino (5+ years experience);
• Confident use of Git; experience with team workflows (pull requests, rebasing, merge conflict resolution (5+ years experience);

• Understanding of server and cloud infrastructure: basic skills in configuration, maintenance, monitoring, and load control (3+ years experience).

   

⭐ Nice to have:

• Experience with CDC tools and streaming data sources;
• Knowledge of Docker, Kubernetes, and Infrastructure as Code (Terraform);
• Experience with cloud platforms such as AWS, GCP, or Azure;
• Familiarity with data governance, data cataloging, and lineage tools.

📅 Your daily adventures include:

• Designing, building, and maintaining scalable Data Warehouse architectures aligned with business needs;
• Developing and optimizing ETL/ELT pipelines using Python, Airflow, and custom solutions;
• Working with DWH/Data Lake technologies including PostgreSQL, Trino, and BigQuery;
• Implementing incremental loads, CDC, backfills, and reprocessing strategies;
• Optimizing query performance, data models, and pipeline execution;
• Ensuring data quality through validation, automated testing, monitoring, and alerting;
• Integrating new data sources (APIs, third-party systems, raw data) without disrupting existing pipelines;
• Collaborating with analysts, engineers, BI teams, and business stakeholders to translate requirements into scalable data solutions;

• Reviewing code, mentoring engineers, and contributing to data engineering standards and best practices.

   

Benefits

• 💸 Flexible payment options: choose the method that works best for you.
• 🎁 Financial perks: Bonuses for holidays, B-day, work milestones and more - just to show we care.
• 📈 Learn & grow: We cover courses and certifications - and offer real opportunities to grow your career with us.
• 🥐 Benefit Сafeteria: Choose what suits you - sports, language courses, therapy sessions, and more.
• 🎉 Stay connected: From team-building events to industry conferences - we bring people together online, offline, and on stage.
• 💻 Modern Equipment: We provide new laptops along with essential peripherals like monitors and headphones for a comfortable workflow.
• 🕘 Your schedule, your rules: Start your day at 9, 10, or even 11 - we care about results, not clock-ins.
  
  If this role sounds like a good fit for you, we’d love to hear from you — apply and tell us a bit about yourself.

Customer is one of the biggest companies on the market of home entertainment consumer electronics devices that strives to provide their clients with high-quality products and services.

This position collaborates with a geographically diverse team to develop, deliver, and maintain systems for digital subscription and transactional products across the Customer’ SVOD portfolio.

Requirements:

• 3+ years of python development (middle level, pandas, bulding APIs)
• Beginner to middle SQL
• Experience building ETLs in python
• Experience with data tools (ex.: Airflow, Grafana, Redash, Plotly, AWS Glue, AWS Athena)
• Other AWS experience
• Advanced skills in Excel
• Agile SDLC knowledge
• Detail oriented
• Data-focused
• Strong verbal/written communication, including an ability to effectively communicate with both business and technical teams
• An ability and interest in working in a fast-paced and rapidly changing environment
• Be self-driven and show ability to deliver on ambiguous projects with incomplete or dirty data

 Would be a plus:

• Understanding of basic SVOD store purchase workflows
• Background in supporting data scientists in conducting data analysis / modelling to support business decision making
• Expereince with mixpanel, mparticle, youbora and similar systems

Job responsibilities:

• Design, develop, and maintain scalable data migration pipelines to transfer data between legacy and target systems while ensuring data integrity, consistency, and minimal downtime
• Analyze source and target data models, map transformation rules, and implement ETL/ELT processes to support complex migration scenarios and business requirements
• Perform data validation, reconciliation, and quality checks to identify discrepancies, troubleshoot migration issues, and ensure accuracy of migrated datasets
• Collaborate with cross-functional teams including software engineers, QA, business analysts, and project managers to plan migration activities, resolve dependencies, and support release execution
• Optimize migration performance, automate repetitive processes, and document migration workflows, technical specifications, and operational procedures to support maintainability and future enhancements

Our client is a fast-growing SaaS company in the hospitality industry. Their platform helps leading hotel brands transform front-desk teams into revenue generators through upselling training, performance analytics, and data-driven insights.

Their flagship platform is used across 2,000+ hotel properties in more than 100 countries, helping hospitality teams improve guest experiences while increasing revenue.

We are looking for an experienced Data Engineer to join a growing data team and play a key role in building and scaling data infrastructure, pipelines, and analytics capabilities.

Requirements:

• 5+ years of commercial experience in Data Engineering.
• 3+ years of hands-on experience with AWS.
• 2+ years of experience with Spark/PySpark.
• Strong Python skills.
• Experience designing and maintaining ETL/ELT pipelines.
• Experience working with large-scale, high-load data environments.
• Solid understanding of data warehousing concepts and best practices.
• Ability to work independently and take ownership of solutions.
• Proactive mindset and strong problem-solving skills.
• English C1.

Nice to Have:

• Experience with modern data orchestration tools.
• Experience with real-time data processing.
• Knowledge of CI/CD practices for data platforms.

• Experience in SaaS product companies.

   

What You'll Do:

• Design, build, and optimize scalable data pipelines.
• Develop and maintain cloud-based data infrastructure on AWS.
• Process and transform large volumes of data using Spark/PySpark.
• Ensure data quality, reliability, and performance.
• Collaborate with product, engineering, and analytics teams.
• Improve existing data architecture and propose new solutions.
• Contribute to the scalability and evolution of the company's data platform.

What we offer:

• Remote job and flexible schedule.
• Full-time position.
• Fast-paced product environment with direct impact on product quality and processes.
• Performance-review.

Waiting for your CV!

We are looking for an experienced ML Ops & Infrastructure Engineer to join an AI-oriented project focused on building technology solutions for automating complex processes in heavy industry domains — from construction and mining to the energy sector.
 

The team is developing reliable AI and robotics-oriented systems that help people perform difficult and potentially dangerous work more efficiently and safely. The project combines software engineering, AI infrastructure, and real-world hardware-oriented challenges, where reliability, scalability, and the ability to work with high-load ML workflows are essential.
 

In this role, you will work closely with Research and Engineering teams to build infrastructure for data processing, model training, evaluation, and deployment of ML models.
 

Requirements:
— 3+ years of commercial experience in ML infrastructure, MLOps, Data Engineering, or related backend/infrastructure roles.
— Strong experience with AWS and/or GCP.
— Hands-on experience with Docker and Kubernetes (K8s).
— Strong Python skills and solid software engineering fundamentals.
— Experience building and maintaining scalable data pipelines and workflow orchestration systems.
— Experience with orchestration/workflow tools such as Airflow, Argo, Kubeflow, or similar.
— Understanding of distributed compute environments and ML training workflows.
— Experience with Git and bash scripting.
— Strong problem-solving skills and the ability to work independently in a dynamic environment.
— Upper-Intermediate or higher English proficiency.

Nice to have:
— Experience with Terraform or other Infrastructure as Code tools.
— Familiarity with distributed training frameworks (PyTorch DDP, Ray, Horovod, etc.).
— Experience with model monitoring, observability, or data drift detection.
— Experience working with large volumes of unstructured data (video, sensor data, spatial data).
— Background in AI-heavy domains such as computer vision, autonomous systems, robotics, or similar fields.

Responsibilities:
— Design, build, and maintain scalable ML infrastructure and internal platforms.
— Develop reliable data ingestion, processing, and versioning pipelines.
— Build and optimize environments for distributed model training and evaluation.
— Manage cloud compute workloads across AWS and/or GCP.
— Containerize and orchestrate ML workloads using Docker and Kubernetes.
— Collaborate closely with ML researchers and software engineers to improve development workflows.
— Improve infrastructure reliability, scalability, and deployment processes.
— Build tooling and systems that accelerate AI research and production readiness.

Interview stages:
— HR interview (30 minutes).
— Technical interview (1 hour).
— Interview with the customer (1 hour).
— Job offer 🎉🎉🎉

We offer:
— Competitive salary.
— Challenging tasks and projects.
— Opportunities for professional development and growth.
— Flexible working hours.
— New hardware.
— Free English lessons.
— Table tennis and yoga classes.
— Availability of generators and Starlinks in the office.
— Small gym in the office.
— Adjustable height tables.
— Regular office fruit delivery and other benefits.

Let’s create value together!

External Engineer — Google Data API / DV360 Integration

We are looking for an experienced external engineer to help build a new integration with Google’s data APIs, replacing our existing DV360 integration.

The work will involve designing and implementing a production-grade integration with Google’s APIs, including authentication, API request/response handling, data ingestion, error handling, retries, observability, and integration into our existing backend services. The engineer will work with our internal team to understand the current DV360 implementation, map the new Google API capabilities to existing product flows, and deliver a clean, maintainable replacement.

Required experience

• Strong hands-on experience with Clojure
• Experience building backend integrations with external APIs
• Ability to read API documentation, clarify edge cases, and independently drive implementation
• Experience with OAuth / service-account-based authentication, pagination, rate limits, retries, and API error handling
• Strong production engineering practices: testing, logging, monitoring, and maintainable code

Advantage

• Experience with Google Marketing Platform, DV360, Bid Manager API, Google Ads, or similar advertising / marketing-channel APIs
• Familiarity with reporting, campaign, audience, or measurement data flows
• Experience replacing or migrating legacy third-party API integrations

Engagement scope

• Review the current DV360 integration and identify required migration points
• Implement the new Google data API integration in Clojure
• Support testing, validation, and rollout with the internal AppsFlyer team
• Document key implementation decisions, API assumptions, and operational considerations

We are looking for a Data Architect who will participate in the formation and development of Data Governance across the entire Bank. The main goal is to design and implement a comprehensive data architecture for the bank that ensures data quality, accessibility, security, and traceability (lineage) to support the Data Governance strategy, which ensures data consistency, business decision support, regulatory compliance, and maximization of data value as a strategic asset

Your future responsibilities:

• Designing target architecture: developing data models and requirements for their description
• Building data flow maps from source systems to reporting to ensure complete transparency of data origin
• Performing data profiling and analysis of the source system
• Formulating clear conclusions to support the end use of data
• Use metadata repositories to perform data and system integration impact analysis
• Participate in defining data exchange principles (ETL/ELT, Kafka, REST API) with a focus on data integrity
• Participate in the implementation of Data Quality Management (DQM): rules, monitoring, control
• Participate in the implementation of Data Governance controls in business processes and systems
• Identify data-related risks, develop and monitor a minimization plan
• Implement KPIs and OKRs for the Data Governance program
• Communicate results to key stakeholders

Your skills and experience:

• 3+ years of experience in banking or finance
• Expertise in data modeling techniques
• Strategic thinking and architectural approach
• Deep understanding of Data Governance Frameworks (DAMA-DMBOK, DCAM)
• Expertise in Data Quality, Master Data, Metadata, Data Security
• Strong analytical and problem-solving skills, as well as the ability to identify and solve complex data management issues
• Deep understanding of regulatory requirements (BCBS 239, GDPR)
• Communication skills: ability to translate complex data concepts into business-friendly language
• Familiarity with agile methodologies in a data environment

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 with rewards for bringing in new colleagues to Raiffeisen Bank
• Social package: official employment, 28 days of paid leave, additional paternity leave, and financial assistance for parents with newborns
• Comfortable working conditions: possibility of a hybrid work format, offices equipped with shelters and generators, modern equipment. Classification: PUBLIC
• Wellbeing program: all employees have access to medical insurance from the first working day; consultations with a psychologist, nutritionist, or lawyer; discount programs for sports and purchases; family days for children and adults; in-office massages
• Training and development: access to over 130 online training resources; corporate training programs in CX, Data, IT Security, Leadership, Agile. Corporate library • Great team: our colleagues form a community where curiosity, talent, and innovation are welcome. We support each other, learn together, and grow. You can find like-minded individuals in over 15 professional communities, reading clubs, or sports clubs
• Career opportunities: we encourage advancement within the bank across functions
• Innovations and technologies: 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 (Android). Data stores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink
• Support program for defenders: we maintain jobs and pay average wages to mobilized individuals. For veterans, we have a support program and develop the Bank’s veterans community. We work on increasing awareness among leaders and teams about the return of veterans to civilian life. Raiffeisen Bank has been recognized as one of the best employers for veterans by 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:

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Райффайзен Банк — найбільший український банк з іноземним капіталом. Більше 30 років ми створюємо та вибудовуємо банківську систему нашої держави.

У Райфі працює понад 5 500 співробітників, серед них одна із найбільших продуктових ІТ-команд, що налічує понад 800 фахівців. Щодня пліч-о-пліч ми працюємо, щоб більш ніж 2,7 мільйона наших клієнтів могли отримати якісне обслуговування, користуватися продуктами і сервісами банку, розвивати бізнес, адже ми #Разом_з_Україною. 

Ми шукаємо Дата Архітектора, який візьме участь у формуванні та розвитку Data Governance у масштабах всього Банку. Основна мета — проєктування та впровадження цілісної архітектури даних банку, яка забезпечує якість, доступність, безпеку та простежуваність (lineage) даних для підтримки стратегії Data Governance, яка забезпечує узгодженість даних, підтримку бізнес-рішень, відповідність регуляторним вимогам та максимізацію цінності даних як стратегічного активу.

Твої майбутні обов’язки:

• Проєктування цільової архітектури: розробка моделей даних та вимог до їхнього опису
• Побудова карт потоків даних від систем-джерел до звітності, щоб забезпечити повну прозорість походження даних
• Проводити профілювання даних та аналіз вихідної системи
• Формулювання чітких висновків для підтримки кінцевого використання даних
• Використовувати репозиторії метаданих для виконання аналізу впливу інтеграції даних та систем
• Приймати участь у визначенні принципів обміну даними (ETL/ELT, Kafka, REST API) з фокусом на цілісність даних
• Участь у впровадженні Data Quality Management (DQM): правила, моніторинг, контроль
• Приймати участь у впровадженні контролів Data Governance у бізнес-процеси та системи
• Ідентифікація ризиків, пов’язаних з даними, розробка та контроль плані мінімізації
• Впровадження KPI та OKR для Data Governance програми
• Комунікація результатів ключовим стейкхолдерам

Твій досвід та навички:

• 3+ досвід роботи в банківській або фінансовій галузі
• Експертне володіння методиками моделювання даних
• Стратегічне мислення та архітектурний підхід
• Глибоке розуміння Data Governance Frameworks (DAMA-DMBOK, DCAM)
• Експертиза в Data Quality, Master Data, Metadata, Data Security
• Сильні аналітичні навички та навички вирішення проблем, а також здатність виявляти та вирішувати складні проблеми управління даними
• Глибоке розуміння регуляторних вимог (BCBS 239, GDPR)
• Комунікаційні навички: здатність перекладати складні концепції даних на зрозумілу для бізнесу мову
• Знайомство з гнучкими методологіями в середовищі даних

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 допомогисеред банків (Червоний Хрест України, UNITED24, Superhumans, СМІЛИВІ) 
• 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

About the company:

Kickbite is a fast growing all-in-one marketing analytic tool, which collects, analyzes, and visualizes e-commerce data all in one place. It provides actionable insights to all decision-makers to scale online sales and improve return of advertising spends. Website: https://www.kickbite.io/

Responsibilities:

- Creating and maintaining existing ETL processes

- Transform raw data and raw events into valuable data for business users

- Performing end-to-end data flow checks

- Integration with the new data sources

Requirements:

- 4-5 years of related experience

- Excellent knowledge of Python programming language

- Extensive experience with SQL DB's, Bigquery

- Strong knowledge of REST API

- Version Control Systems (GIT)

What we offer:

- Competitive level of compensation transferred directly to bank account

- Full-time remote work 40 hours per week (approximately from 10.00 to 18.00)

- 20 working days of vacation per year

- Paid sick leaves up to 2 weeks per year

- Free time for educational purposes

CodeGeeks Solutions is a software company led by top-notch experts with over 10 years of experience in product design & software development. We are able to comprehensively cover the needs of our clients and focus on the full cycle of development.

Now we are looking for two Data Engineers — one at Middle level and one at Senior level — to join our team and work on a cloud-native Data Lakehouse platform built on AWS!

Why us?

• We trust our team and care deeply that everyone feels comfortable and supported in their work and our positive atmosphere
• This work will be fulfilling! You’ll develop and acquire new skills, and we’ll support you every step of the way
• Here you will find like-minded people and true friends
• Here, you’ll even look forward to Mondays!
• We’re a young and successful team! :)

We Offer

• 15 days of annual time off paid + company-wide New Year holiday in the last week of the year (5 days);
• 20 days of sick leave paid (5 — 100%, 15 — 50%);
• Legal support;
• IT Cluster membership;
• Flexible work schedule and remote work options;
• Chance to make a real impact and shape the future of our company;
• Education compensation;
• Clear career map, continued professional development and growth opportunities;
• Opportunity to work with a talented and dynamic team of experts;
• Internal training and meetups;
• Access to corporate learning materials;
• High-level compensation and regular performance-based salary and career development reviews;
• PE accounting and support;
• Work in a comfortable, modern and cozy office in Lviv;
• Team buildings & corporate events;
• Referral program.

About the Project

You will be part of a team building and scaling a modern data platform that serves BI needs across Finance, Sales, Marketing, Product, and Operations — and lays the groundwork for future AI/ML initiatives. The stack is current, the problems are real, and the business impact is visible from day one.

What You Will Do

• Design and build ELT pipelines from diverse sources: SaaS products, internal systems, and third-party integrations (Twilio, Mixpanel, Salesforce, Google Analytics, SharePoint/Excel)
• Implement and maintain medallion architecture (raw → refined → consumption) using Apache Iceberg
• Work with Airflow and/or Airbyte for pipeline orchestration, scheduling, and operational monitoring
• Support near-real-time and lower-latency data processing where required
• Build data quality checks, automated assertions, lineage documentation, and dataset certification routines
• Apply least-privilege access patterns, dataset classification, auditability controls, and data minimization practices
• Collaborate closely with BI/Data Analysts to ensure schemas support dashboard and reporting needs

• Write runbooks and handover documentation to keep the platform maintainable long-term

   

What We Are Looking For

Middle (2–3 years of experience)

• Solid hands-on SQL, data modeling, and performance optimization skills for analytics consumption layers
• Practical experience building ELT/ETL pipelines
• Experience with AWS services: S3, Glue, Athena
• Experience with Airflow and/or Airbyte
• Experience with Apache Spark / PySpark
• Familiarity with integrating third-party SaaS sources (Twilio, Mixpanel, Salesforce, Google Analytics, SharePoint/Excel or similar)

• Self-driven, pragmatic, well-documented working style; comfortable with ambiguity

   

Senior (4-5+ years of experience) — all of the above, plus:

• Proven experience designing Data Lake / Lakehouse architecture independently
• Ability to define and own a technical backlog and make architectural decisions with limited oversight
• Experience implementing data governance, lineage tracking, and security controls in regulated environments
• Comfortable working with GDPR, HIPAA, ePHI, and similar compliance frameworks

Nice to Have (both levels)

• Apache Iceberg or Delta Lake
• dbt
• Metabase or similar BI tooling

Recruitment Process

1. HR Screening call
2. Technical Interview with CTO
3. Final Interview with the client

If you want to develop professionally in a team of like-minded people and make this world better — we are waiting for your resume!

We are looking for a Mid/Senior Data Engineer to join our platform-focused team, working on the development and evolution of our CRM and data platform landscape.

The team operates as a platform and enablement unit, supporting different business areas and initiatives. A key focus area is the transition from a legacy CRM system to a new Salesforce-based solution, alongside ongoing work in building and extending data products and platform capabilities.

The setup currently consists of two Scrum teams, with Data Engineers shared across initiatives. The role is hands-on and involves working on data product creation, platform setup, and continuous improvements, with a growing focus on scaling and structuring the platform landscape

Required Skills:

· Strong experience in data engineering within enterprise environments

· Strong hands-on experience with Terraform, Docker, Python, SQL, AWS tools, Kubernetes, and Kafka

· Hands-on experience with modern data platform concepts such as Data Mesh (cloud object storage, open table formats, distributed processing)

· Solid Python skills for ETL development, data processing, and automation

· Experience designing, implementing, and maintaining reliable data pipelines

· Strong analytical, problem-solving, and system-level thinking skills

· Understanding of cloud technology lifecycle

· Fluent English in spoken and written communication

Preferred Experience (Nice-to-Have)

• Legacy data warehouse experience with Oracle or Sybase.

Implementation of a data ingestion, transformation, and storage pipeline for Pharmacy Analytics & Rebate Management aimed at eliminating manual data processing. The project involves building an ETL pipeline to automate data processing from SharePoint ingestion to analytics model, with Power BI dashboards and GPG-encrypted file handling. The candidate will work within the Microsoft Azure ecosystem, focusing on data governance (Microsoft Purview), security (Microsoft Defender), and HIPAA compliance.

Requirements:

• Microsoft Azure ecosystem experience;
• Experience with Microsoft Fabric (Lakehouses, data pipelines, OneLake storage);
• Knowledge of ETL/ELT pipeline design and implementation;
• Python and SQL proficiency;
• Experience with data ingestion from SharePoint and encrypted file handling (GPG);
• Familiarity with Microsoft Purview for data governance;
• Understanding of HIPAA compliance and data security requirements;
• Experience with CI/CD (Azure DevOps, Terraform/Bicep);
• Power BI knowledge is a plus.
   

Responsibilities:

• Design, develop, and maintain ETL pipelines;
• Configure connectors and data ingestion flows from SharePoint (pipe-delimited encrypted files) and vendor Excel/CSV sources;
• Implement data loading processes across Bronze, Silver, and Gold layers;
• Perform data transformations, data quality setup, error handling, and historization (SCD Type 2);
• Set up and maintain CI/CD pipelines (Terraform/Bicep for Fabric resources, Git integration, Azure DevOps);
• Implement data governance and security measures (row/column-level security, Purview integration);
• Develop a semantic model (DirectLake mode), configure reports, and migration/development;
• Create technical documentation and Run Books;
• Participate in knowledge transfer.
   

What we offer:

• Annual paid leave 18 working days
• Annual paid sick leave
• Opportunity to participate in various events (educational programs, seminars, training sessions)
• English courses
• Healthcare program
• IT Cluster membership
• Competitive compensation

We are seeking a highly skilled AI/ML Engineer to design, build, and scale production-grade AI systems. The ideal candidate combines expertise in AI/ML, backend engineering, cloud infrastructure, and MLOps to deliver end-to-end AI solutions powered by LLMs, RAG architectures, and intelligent agents.

You will play a key role in developing scalable AI products, optimising inference performance, building AI platforms, and integrating cutting-edge AI capabilities into business applications.

Key Responsibilities

• Design and develop scalable AI/ML solutions for production environments.
• Build and deploy LLM-powered applications using OpenAI, Claude, Gemini, and Hugging Face ecosystems.
• Develop Retrieval-Augmented Generation (RAG) systems and agentic workflows.
• Create and maintain AI APIs and backend services using Python and FastAPI.
• Design data pipelines, vector search architectures, and AI orchestration workflows.
• Implement MLOps practices, including model deployment, monitoring, retraining, and observability.
• Optimise AI systems for latency, scalability, reliability, and cost efficiency.
• Collaborate with product, engineering, and data teams to deliver AI-driven features.
• Work with cloud-native infrastructure and containerised environments.
• Mentor junior engineers and contribute to architectural decisions.

Required Qualifications

• 5+ years of software engineering or machine learning experience.
• Strong proficiency in Python.
• Hands-on experience building and deploying production AI systems.
• Deep understanding of machine learning fundamentals, deep learning, NLP, and transformers.
• Experience with LLM technologies and frameworks:
  • OpenAI API
  • Claude API
  • Gemini
  • Hugging Face
  • LangChain
  • LangGraph
  • LlamaIndex
• Strong knowledge of:
  • RAG architectures
  • Vector databases
  • Embeddings
  • Agentic workflows
  • Prompt engineering
• Experience building REST APIs and backend services.
• Proficiency with Docker and cloud platforms (AWS, Azure, or GCP).
• Experience with SQL databases and data processing frameworks.

Preferred Qualifications

• Kubernetes and container orchestration experience.
• Infrastructure as Code using Terraform or similar tools.
• MLOps platforms such as MLflow, Kubeflow, or Airflow.
• Experience with Spark and large-scale data processing.
• Knowledge of Redis, Kafka, RabbitMQ, or real-time systems.
• Experience with AI observability, monitoring, and model lifecycle management.
• Exposure to enterprise AI integrations and AI governance.

Technical Stack

Languages

• Python
• SQL

Backend

• FastAPI
• Flask
• REST APIs
• GraphQL

AI/ML

• OpenAI
• Claude
• Gemini
• Hugging Face
• LangChain
• LangGraph
• LlamaIndex
• RAG
• AI Agents

Data

• PostgreSQL
• MySQL
• Pinecone
• Weaviate
• Qdrant
• ChromaDB

Cloud & DevOps

• AWS / Azure / GCP
• Docker
• Kubernetes
• Terraform
• GitHub Actions / GitLab CI

On behalf of our client, we are looking for a Senior Data Engineer (Scala)

Requirements:

- Strong experience with Scala in production environments

- Proven experience as a Senior Data Engineer or Backend Engineer in data-heavy systems

- Strong understanding of distributed systems and parallel processing

- Experience with big data technologies (Spark, Kafka, etc.)

- Strong knowledge of JVM ecosystem and performance tuning

- Experience building high-load, scalable systems

- Strong system design and architectural thinking

- Ability to work independently and take ownership

- Strong problem-solving skills in complex, distributed environments

- English level: B2+

- Availability to work in EU timezone

Company offers:

- Long-term employment with possibilities for professional growth

- Fully remote work

- Reasonably flexible schedule

- 15 days of paid vacation

- Regular performance reviews

We are seeking a Palantir Foundry & AIP Engineer with hands-on experience across the full Foundry ecosystem and Palantir’s Artificial Intelligence Platform (AIP). This role goes beyond data engineering: you will design, build, and operationalize AI-powered workflows, agents, and applications that drive tangible business outcomes. The ideal candidate is a self-starter, able to translate complex business needs into scalable technical solutions, and confident working directly with stakeholders to maximize the value of Foundry and AIP.

• Responsibilities:

  · Data & Workflow Engineering: Design, develop, and maintain scalable pipelines, transformations, and applications within Palantir Foundry.
  · AIP & AI Enablement:
  o Support the design and deployment of AIP use cases such as copilots, retrieval workflows, and decision-support agents.
  o Ground agents and logic flows using RAG (retrieval‐augmented generation) by connecting to relevant data sources, embedding/vector search, ontology content.
  o Use Ontology-Augmented Generation (OAG) when needed: operational decision making where logic, data, actions and relationships are embedded in the Ontology.
  o Collaborate with senior engineers on agent design, instructions, and evaluation using AIP’s native features.
  · End-to-End Delivery: Work with stakeholders to capture requirements, design solutions, and deliver working applications.
  · User Engagement: Provide training and support for business teams adopting Foundry and AIP.
  · Governance & Trust: Ensure solutions meet standards for data quality, governance, and responsible use of AI.
  · Continuous Improvement: Identify opportunities to expand AIP adoption and improve workflow automation.

• Mandatory Skills Description:

  Minimum 10 Years of experience in IT/Data.
  Minimum 5 years of experience as a Data Platform Engineer/Data Engineer.
  · 2+ years of professional experience with the Palantir Foundry ecosystem (data integration, ontology, pipelines, applications).
  · Strong technical skills in Python, PySpark, SQL, and data modelling.
  · Practical experience using or supporting AIP features such as RAG workflows, copilots, or agent-based applications.
  · Ability to work independently and engage directly with non-technical business users.
  · Strong problem-solving mindset and ownership of delivery.

• Nice-to-Have Skills Description:

  · Familiarity with AIP Agent Studio concepts (agents, instructions, tools, testing).
  · Exposure to AIP Evals and evaluation/test-driven approaches.
  · Experience with integration patterns (APIs, MCP, cloud services).
  · Consulting or applied AI/ML background.
  · Experience in Abu Dhabi or the broader MENA region.

Місія ролі:
Забезпечити надійну, безпечну та автоматизовану інфраструктуру для AI/ML-рішень: від середовищ розробки й CI/CD до production deployment, observability, secrets management, model serving та підтримки AI-сервісів в обмежених або гібридних середовищах. Це не просто класичний DevOps. Для CAIO-команди потрібен інженер, який розуміє, що AI-рішення мають додаткові вимоги: версіонування моделей, контроль даних, reproducibility, GPU/CPU workloads, evaluation pipeline, rollback моделей і моніторинг якості AI-сервісів.

Обов'язки:
-Побудова та підтримка інфраструктури для AI-сервісів.
-Автоматизація deployment, rollback, configuration і release management.
-Побудова CI/CD pipelines для backend, frontend, data/ML components.
-Підтримка model serving environments.
-Впровадження observability для AI-сервісів: метрики, логи, traces, алерти.
-Забезпечення repeatability середовищ: dev/test/stage/prod.
-Підтримка security baseline разом із SecOps та AppSec.
-Документування deployment/runbook процедур разом із Technical Writer.
-Підтримка vendor-delivered компонентів після приймання в експлуатацію.

Вимоги:
-4+ роки практичного досвіду в DevOps, platform engineering, SRE або infrastructure automation.
-Production-досвід з Linux, Docker, CI/CD, GitOps або близькими практиками.
-Практичний досвід з Kubernetes або Docker Compose / Nomad / іншими orchestration-підходами.
-Досвід побудови CI/CD pipelines для backend-сервісів.
-Досвід з IaC/config management: Terraform/OpenTofu, Ansible, Helm, Kustomize або аналоги.
-Розуміння мереж, TLS, DNS, reverse proxy, firewall, VPN, service discovery.
-Досвід з secrets management, RBAC, service accounts, audit logs.
-Досвід моніторингу та логування: Prometheus, Grafana, Loki, ELK/OpenSearch, VictoriaMetrics або подібні інструменти.

Бажано:
-Досвід MLOps: MLflow, Kubeflow, KServe, BentoML, Ray, Airflow, Prefect, Argo Workflows.
-Досвід розгортання LLM або ML models: vLLM, Triton, Ollama, Hugging Face stack, model registry.
-Досвід з GPU workloads, NVIDIA drivers, CUDA runtime, resource scheduling.
-Досвід роботи з on-prem, hybrid або isolated/air-gapped environments.
-Досвід у defence, govtech, fintech, telecom або critical infrastructure.

Умови для чинних військових:
-Військова служба
-Служба в Києві (житло не надається), Центр, Київ
-Повне грошове забезпечення для тилової посади

Умови для цивільних:

-Офіційне працевлаштування
-Офісна робота, Київ, Центр
-Можливе бронювання

Місія ролі:
Забезпечити операційний кіберзахист AI-платформи та AI-сервісів: security monitoring, incident response, vulnerability management, IAM control, auditability, detection engineering і взаємодію з внутрішніми або зовнішніми SOC/IR-командами. Це роль, яка відповідає за те, щоб AI-рішення не були “чорною коробкою” з точки зору безпеки, логування, реагування та контролю.

Обов’язки:
_Налаштування security monitoring для AI-платформи.
_Визначення обов’язкових security logs для AI-сервісів, API, admin actions.
-Побудова detection rules та alerting.
-Управління vulnerability backlog.
-Контроль IAM, privileged access і audit logs.
-Підготовка incident response playbooks.
-Проведення security reviews перед production release.
-Взаємодія з DevOps, AppSec, PM і зовнішніми security-партнерами.
-Участь у прийманні vendor-рішень з точки зору operational security.

Вимоги:
-4+ роки досвіду в SecOps, SOC, infrastructure security або security engineering.
-Досвід роботи з SIEM/log management: Microsoft Sentinel, Splunk, Elastic, OpenSearch, Wazuh або аналоги.
-Практичний досвід incident response: triage, containment, escalation, post-incident review.
-Досвід vulnerability management: scanning, prioritization, remediation tracking.
-Розуміння IAM, MFA, privileged access, RBAC, service accounts.
-Розуміння Linux hardening, network security, firewalling, TLS, VPN.
-Досвід створення security playbooks/runbooks.
-Вміння читати технічні логи та знаходити аномалії.
Бажано:
-Досвід Kubernetes/container security.
-Досвід з MITRE ATT&CK, NIST, ISO 27001.
-Досвід у regulated або critical environments.
-Досвід побудови detection rules для API, identity, infrastructure та application events.
-Досвід інтеграції security logging з DevOps/MLOps платформами.

Умови для чинних військових:
-Військова служба 

-Служба в Києві (житло не надається), Центр, Київ

-повне грошове забезпечення для тилової посади

Умови для цивільних:

-Офіційне працевлаштування
- офісна робота, Київ, Центр

-Можливе бронювання