Jobs Data Engineer

Привіт, давай знайомитись ближче.

Ми — Quarks, технологічна компанія, що створює нішеві продукти у сфері Social Discovery & Relationship Wellness. Фокусуємось на розробці безпечних та ефективних рішень для знайомств і розвитку стосунків. Нашими платформами користуються понад 80 мільйонів юзерів у більш ніж 20 локаціях світу.

А ще Quarks — це:

• 250+ кварків у команді
• Топ роботодавець у 2024 за версією DOU
• Рівень eNPS 80,4%
• Офіс у Києві, хаби у Львові та Варшаві

Зараз ми шукаємо Analytics Engineer у команду Affemity Group, яка створює продукти та технології, що допомагають людям вимірювано покращувати якість життя.

Ми також відкриті до найму ветеранів — створюємо умови, у яких можна не просто бути частиною команди, а й зростати.

Твоя зона впливу: допомагати бізнесу приймати рішення на основі перевірених даних — швидко, без ручної валідації та з передбачуваним результатом.

Результати, яких очікуємо протягом 6-12 місяців:

• Ключові дата-процеси задокументовані, мають визначені ризики та власника
• Всі наявні дата-марти актуальні, покривають основні бізнес-метрики та відповідають поточним потребам команд
• Впроваджений моніторинг якості даних — інциденти виявляються системою, а не бізнесом
• Прогнозна модель доходу має визначену метрику точності, відхилення відстежуються та аналізуються проактивно
• Ручна обробка даних замінена автоматизованими рішеннями

Твої майбутні задачі:

• Керування дата-інфраструктурою → забезпечування структурованість, масштабованість та надійність дата-процесів, включно з пайплайнами та їх оркестрацією
• Створення агрегованих наборів даних і дата-мартів → розробка та підтримка аналітичних моделей відповідно до бізнес-вимог маркетингових, продуктових та операційних команд
• Впровадження моніторингу якості та цілісності даних → налаштовування автоматизованих перевірок, алертингу та виявлення аномалій для проактивного усунення інцидентів
• Відповідання за точність та надійність прогнозних моделей → вимірювання відхилень, аналіз причин та ініціювання покращень
• Автоматизація повторюваних дата-процесів → скорочування ручної обробки даних та зменшення залежності команди від неавтоматизованих рішень

Що для нас важливо в цій ролі:

• 1+ рік досвіду на аналогічній позиції
• Впевнене володіння SQL: складні запити, CTE, віконні функції, оптимізація
• Python для автоматизації та трансформації даних (ETL/ELT), інтеграцій з API
• Розуміння принципів побудови DWH та моделювання даних
• Досвід версіонування коду та командної роботи в Git
• Ownership mindset: проактивність, самостійність у виявленні та вирішенні проблем
• Аналітичне та структурне мислення
• Вміння пояснювати технічні речі бізнес-мовою
• Growth mindset та готовність до постійного розвитку
• Системний підхід, орієнтація на масштабування та стандартизацію процесів
• Уважність до деталей та розуміння впливу якості даних на бізнес-рішення

Буде плюсом:

• Досвід роботи з BI-інструментами (Tableau, Looker або аналоги)
• Практика використання інструментів моніторингу якості даних
• Адаптивність та ефективність у динамічному середовищі
• Вміння просто пояснювати складні технічні теми нетехнічним стейкхолдерам
• Навички пріоритизації та роботи з конкурентними задачами

Що на тебе чекає в Quarks:

• Комфортні умови та гнучкий графік. Гібридний формат з можливістю обирати години роботи у межах прайм-тайму
• Безперебійний офіс. У нашому просторі є все, що потрібно для роботи та відпочинку: обладнані робочі місця, корпоративні сніданки й обіди, душ, кімната для сну, PlayStation, доріжка для ходьби й не тільки. Локація київського офісу — менш ніж хвилина пішки від метро Тараса Шевченка. Побачити офіс очима Василя Байдака можна за посиланням
• Конкурентна заробітна плата. Така, що дозволить зосередитися на розвитку продукту й додасть мотивації. Регулярний перегляд ставки на перформанс рев’ю за результатами роботи
• Lifelong Learning та карʼєрне зростання. Заохочуємо й підтримуємо розвиток через внутрішні тренінги, професійні ком’юніті для обміну досвідом, участь у ключових IT-івентах та компенсацію зовнішніх курсів
• Day off та відпустки для відновлення. На твоєму балансі — 20 днів відпустки, безлімітні лікарняні, зимові канікули та 6 святкових вихідних, які можна використати протягом року
• Турбота про здоровʼя. Медичне страхування, компенсація психолога та відвідування спортзалу — усе для підтримки твого ресурсу
• Спільноти за хобі. Біг, сквош, книжки, підтримка ментального здоров’я — об’єднуємось не лише навколо спільних цілей, а й спільних інтересів
• Quarks Care. Допомагаємо колегам та їхнім родичам, які мобілізувались, демобілізувались або постраждали через війну. Для ветеранів створили розширений пакет бенефітів — з фокусом на підтримку, адаптацію та зростання в команді

Шлях до оферу

Application ➡️ Recruitment Interview ➡️ Test Task ➡️ Tech Interview ➡️ Reference Check ➡️ Final Interview with C-Level ➡️ Job Offer

Наша робота надихає, адже ми щодня об’єднуємо мільйони людей по всій планеті.

Занурся в атмосферу Quarks та познайомся з майбутніми колегами в Instagram, LinkedIn і TikTok.

Про роль

Шукаємо досвідченого інженера телефонії для побудови та підтримки відмовостійкої масштабованої системи IP телефонії. Ти будеш відповідати за інфраструктуру, моніторинг і стабільність production-середовища.

Що робитимеш:

• Будувати й підтримувати відмовостійку, масштабовану систему IP телефонії
• Адмініструвати Linux-сервери та кластери IP телефонії
• Будувати й підтримувати систему моніторингу та логування
• Діагностувати й усувати інциденти
• Взаємодіяти з провайдерами телефонії для інтеграцій
• Налаштовувати безпеку (firewall, security groups, iptables)

Обов'язкові навички:

• Досвід побудови відмовостійкої IP телефонії (Asterisk, FreeSwitch, OpenSIPS, Kamailio)
• Знання технологій балансування та резервування
• Знання механізмів управління дзвінками (ARI)
• Впевнене адміністрування Linux (Ubuntu / Debian): CPU, RAM, disk, network
• Моніторинг і логування IP телефонії
• Налаштування Firewall (iptables, security groups)
• Читання технічної документації англійською

Буде плюсом:

• Досвід з технологіями автоматизації (Ansible, Terraform тощо)
• Робота з хмарними платформами (AWS, GCP, Azure)

Особисті якості:

• Самостійність у вирішенні проблем
• Системне мислення
• Спокійна робота з інцидентами
• Відповідальність за production
• Вміння комунікувати з командою розробки та підтримкою

Компанія шукає досвідченого Data Engineer для участі у розробці та підтримці високонавантажених систем. Якщо ви глибоко розумієтесь на внутрішній архітектурі SQL Server, вмієте оптимізувати продуктивність запитів та маєте досвід побудови ETL-процесів — будемо раді бачити вас у нашій команді!

Вимоги до кандидата:

• Досвід роботи з MS SQL Server від 3 років.
• Робота з версіями SQL Server 2016 і вище.
• Досвід супроводу високонавантажених або критично важливих систем.
• Глибоке розуміння внутрішньої роботи SQL Server (query processor, execution plan, tempdb, buffer pool, indexes, statistics).
• Досвід оптимізації запитів, процедур, індексів, аналіз execution plans.
• Вміння налаштовувати та моніторити продуктивність СУБД.
• Досвід створення ETL-процесів з використанням SSIS, T-SQL або сторонніх інструментів (наприклад, Airflow).
• Знання job-менеджменту: SQL Agent Jobs, планувальники, сповіщення.
• Досвід автоматизації завдань (знання Python буде перевагою).

Технічний стек:

• MS SQL Server,
• T-SQL (рівень Advanced),
• SSMS, SSIS, SQL Profiler, Query Store,
• Git,
• Python (бажано).

Основні обов’язки:

1. Розробка та підтримка складних T-SQL скриптів, збережених процедур, тригерів, функцій і представлень.
2. Оптимізація продуктивності SQL-запитів, виявлення вузьких місць, робота з execution plans, індексами, статистикою.
3. Проєктування та рефакторинг схем баз даних відповідно до бізнес-вимог.
4. Підтримка та розвиток ETL-процесів, контроль якості даних, участь у побудові потоків даних.
5. Співпраця з розробниками, аналітиками, архітекторами, участь у командних рішеннях.
6. Налаштування моніторингу, створення алертів, звітність по стабільності та продуктивності систем.
7. Менторство молодших фахівців, участь у code review, обмін знаннями.
8. Документування рішень, участь у створенні внутрішніх стандартів і процедур.

Ми пропонуємо:

• Роботу над цікавими проєктами в стабільній компанії.
• Можливість розвиватися професійно та впливати на технічні рішення.
• Команду професіоналів та дружню атмосферу.
• Гнучкий графік, можливість віддаленої роботи.
• Конкурентну заробітну плату та бонуси за результатами роботи.

We are looking for a Senior Data Engineer to join our growing team. In this role, you will help build and scale modern data infrastructure and pipelines that power analytics, business intelligence, product insights, and operational decision-making across our omni-channel commerce platform.
 

Responsibilities

• Design, build, and maintain scalable, reliable data pipelines and infrastructure across cloud environments.
• Develop and manage ETL/ELT workflows to ingest, transform, and load data from multiple sources into data warehouses and data lakes.
• Partner closely with product, engineering, analytics, and business teams to ensure trusted, accessible, and timely data across the organization.
• Optimize data storage, modeling, and query performance to support reporting, analytics, and operational use cases.
• Build and maintain batch and real-time data processing systems using modern tools and frameworks.
• Improve data reliability and quality by implementing monitoring, validation, alerting, and observability practices.
• Support deployment, scalability, and orchestration of data workloads using containerization and workflow automation tools.
• Implement and maintain CI/CD pipelines for data workflows and infrastructure.
• Ensure data governance, privacy, and security standards are upheld across all data systems.
• Contribute to architecture decisions, code reviews, documentation, and best practices for data engineering.
• Stay current with emerging technologies and best practices in data engineering to continuously improve platform capabilities.

Requirements

• Excellent communication skills, including fluent verbal English, with the ability to explain technical concepts to non-technical stakeholders and collaborate effectively across teams.
• Proven experience as a Data Engineer, with strong hands-on experience building and managing production-grade data pipelines.
• Strong proficiency with cloud platforms such as AWS and/or Azure, including modern data services.
• Experience with Python and strong SQL skills for data transformation, automation, and analysis.
• Experience with distributed data processing and streaming technologies such as Apache Spark, Kafka, or similar tools.
• Familiarity with workflow orchestration tools such as Airflow, DBT, or equivalent.
• Experience with data warehousing and lakehouse technologies such as Snowflake, Redshift, BigQuery, Databricks, or similar platforms.
• Solid understanding of ETL/ELT design patterns, data modeling, and data architecture best practices.
• Experience with Docker, Kubernetes, or other containerization and orchestration technologies.
• Familiarity with relational and NoSQL databases such as PostgreSQL, MongoDB, or Cassandra.
• Experience with version control systems such as Git.
• Strong problem-solving skills and a proactive approach to performance optimization, troubleshooting, and continuous improvement.

Preferred Qualifications

• Experience with data governance, security, and privacy best practices in cloud environments.
• Familiarity with infrastructure-as-code tools such as Terraform or CloudFormation.
• Experience supporting analytics, machine learning, or reporting use cases with well-structured data systems.
• Knowledge of BI and visualization tools such as Power BI or Tableau.
• Previous experience working in agile, cross-functional product and engineering teams.
• Experience in retail, e-commerce, omni-channel commerce, or POS platforms is a strong plus.

Why PredictSpring?

• Join a category-leading company transforming the future of retail and omni-channel commerce.
• Work with innovative technology powering seamless online and in-store customer experiences.
• Collaborate with a talented, global team in a flexible remote work environment.
• Enjoy opportunities for professional growth and career development.
• Make a direct impact on products used by some of the world’s most recognized retail brands.
• Be part of a fast-moving, collaborative, and customer-focused culture at the forefront of commerce innovation.

Role Overview:
We are looking for an experienced IAM Integration Engineer to support the implementation and integration of enterprise applications into a centralized IAM/IGA platform.
The engineer will be responsible for onboarding critical applications, configuring connectors and provisioning workflows, integrating Entra ID tenants and HR identity sources, and supporting testing and platform configuration activities. This is a hands-on technical role within a large-scale enterprise IAM transformation program.

Responsibilities:

• Integrate approximately 50 critical enterprise applications into the central IAM platform
• Configure and develop IAM connectors and integrations
• Implement provisioning and de-provisioning workflows
• Support integration with five Microsoft Entra ID tenants
• Integrate HR-driven identity lifecycle processes, including SuccessFactors
• Configure identity lifecycle automation (Joiner / Mover / Leaver processes)
• Support IAM platform configuration, testing, and troubleshooting
• Collaborate with security, infrastructure, application, and HR teams
• Participate in access governance and role assignment implementation
• Support system validation, UAT, and production readiness activities

Required Skills & Experience

• Strong hands-on experience with enterprise IAM/IGA platforms such as:
  ○ SailPoint
  ○ Saviynt
  ○ One Identity
  ○ or similar
• Experience with:
  ○ Connector development/configuration
  ○ Provisioning and de-provisioning
  ○ Workflow configuration
  ○ Application onboarding
• Strong knowledge of:
  ○ Microsoft Entra ID
  ○ Active Directory
  ○ Identity lifecycle management
• Experience integrating HR-driven identity feeds (SuccessFactors is a strong plus)
• Experience with APIs and scripting:
  ○ PowerShell
  ○ REST APIs
  ○ JSON/XML
• Understanding of identity governance and access management concepts
• Experience working in enterprise or large-scale IAM transformation environments

Nice to Have:

• Experience with SCIM integrations
• Experience with cloud IAM environments
• Knowledge of RBAC and access governance concepts
• Experience in regulated enterprise environments (insurance, banking, telecom, etc.)
• Experience with testing and IAM rollout activities

On behalf of our Client from France, Mobilunity is looking for an IOS Engineer.

Our client is a table management software and CRM that enables restaurant owners to welcome their customers easily. The app is useful to manage booking requests and register new bookings. You can view all your bookings, day after day, wherever you are and optimize your restaurant’s occupation rate. Our client offers a commission-free booking solution that guarantees freedom above all. New technologies thus become the restaurateurs best allies for saving time and gaining customers while ensuring a direct relationship with them.

Their goal is to become the #1 growth platform for Restaurants. They believe that restaurants have become lifestyle brands, and with forward-thinking digital products, restauranteurs will create the same perfect experience online as they already do offline, resulting in a more valuable, loyalty-led business.

Requirements:

• 5+ years of professional software development experience
• Strong commercial experience with Swift and iOS development
• Solid understanding of iOS architecture and best development practices
• Experience with React
• Proven ability to articulate and justify architectural decisions: weighing trade-offs around scalability, maintainability, and explaining the reasoning clearly to peers and stakeholders
• Knowledge of cloud infrastructure (AWS)
• Active user of AI development tools (Claude Code, Cursor, Copilot, or similar) – you’ve integrated these into your daily workflow and are curious about pushing them further
• Strong product mindset with the ability to contribute to feature design and product decisions
• A track record of working in Agile environments with cross-functional teams
• Upper-intermediate to advanced English proficiency

In return we offer:

• The friendliest community of like-minded IT-people
• Open knowledge-sharing environment – exclusive access to a rich pool of colleagues willing to share their endless insights into the broadest variety of modern technologies
• Mobilunity Medical Insurance program designed to attend our teams’ needs
• Paid vacations and sick leaves, including 5 paid days per year that don’t require a sick note
• Perfect office location in the city-center (900m from Lukyanivska metro station with a green and spacious neighborhood) or remote mode engagement: you can choose a convenient one for you, with a possibility to fit together both
• No open-spaces setup – separate rooms for every team’s comfort and multiple lounge and gaming zones
• English classes in 1-to-1 & group modes with elements of gamification
• Neverending fun: sports events, tournaments, music band, multiple affinity groups

Come on board, and let’s grow together!

Laba Group is one of the largest international EdTech companies in Eastern Europe. Currently, our team consists of over 800 colleagues united by a single mission: to improve people’s lives through relevant and systematic knowledge.

In 10 years, we have launched over 1,400 courses and educated more than 200,000 students globally. We have also created 5 online education brands:

• Laba — an online business school
• Skvot — a school of popular culture
• robot_dreams — a platform for growth in IT
• Vocabulaba — a school of English for professionals
• elvtr — an online school in the US and the UK

We are seeking a Data Engineer. The primary purpose or objective of this role is to be responsible for designing, building, and maintaining a scalable data infrastructure that supports analytics, reporting, and business decision-making within the organization.

The role focuses on developing robust data pipelines, integrating multiple data sources, ensuring data quality, and delivering business-driven data solutions that align with the company’s goals.

What will be the main responsibilities ?

• Design, build, and maintain scalable ETL/ELT pipelines.
• Integrate data from internal and external systems (CRMs, LMS, marketing platforms, databases, etc.).
• Develop and maintain API integrations (REST/JSON, OAuth, etc.).
• Automate recurring data processes using Python (or similar scripting languages).
• Design and maintain data models optimized for analytics and operational reporting.
• Work with cloud data warehouses (e.g., BigQuery, Snowflake) to ensure efficient storage and retrieval.
• Implement data validation and monitoring mechanisms to ensure accuracy and reliability.
• Proactively monitor and resolve data pipeline failures.
• Create dashboards and data applications using low-code/no-code platforms (e.g., Power BI, Retool, Coda, Tableau, Google Sheets).
• Translate complex datasets into clear, actionable insights for business stakeholders.
• Collaborate with analysts, data scientists, and business teams to define KPIs and reporting requirements.
• Suggest improvements to existing data flows and business processes.
• Maintain structured and comprehensive technical documentation (pipelines, integrations, data definitions, architecture).
• Participate in cross-functional discussions to align technical implementation with business needs.

Requirements

• Strong proficiency in Python (or similar scripting language) for data manipulation and automation.
• Advanced SQL knowledge and experience in data modeling.
• Hands-on experience with API integrations (REST, JSON, OAuth) and related tools (e.g., Postman).
• Experience working with cloud platforms (GCP, AWS) and cloud data warehouses.
• Experience with orchestration tools (e.g., Airflow, dbt, or similar frameworks).
• Familiarity with Git and CI/CD processes.
• Experience with low-code/no-code platforms for data visualization or workflow automation.
• Solid understanding of business processes and KPI-driven decision-making.
• 1–4 years of experience in a data engineering or data-focused role.
  
  Skills that would be “nice to have”:
• Experience developing and customizing internal tools using Retool, with working knowledge of JavaScript.
• Experience optimizing query performance and cost efficiency in cloud environments.
• Exposure to real-time data streaming solutions.
• Experience supporting AI/ML data pipelines.
• Strong data storytelling and stakeholder communication skills.

Benefits

Why Laba Group is the Place to Be🔥:

• Flexible full-time. We focus on results, not hours worked: manage your own time, stay connected with the team, and meet deadlines.
• Remote, onsite, or hybrid — it’s up to you! Our modern workspace in Kyiv is fully equipped with everything you need.

As part of our team, you’ll get:

• Access to all Laba Group courses for you and your family.
• Compensation for external training, sports, and mental and physical health, helping you stay balanced and prioritize your well-being.
• Unlimited vacation after 6 months of working with us. Plan according to your needs and adjust based on workload intensity because rest is essential for your health.
• We create a supportive environment where facing challenges and making mistakes isn’t scary. A place to find like-minded people and become part of a larger community. A service that truly puts the client first.
• No micromanagement or bureaucracy — only automated processes. Feel free to experiment, propose, and implement your ideas.
• We champion a proactive mindset, bold ideas, and a willingness to embrace change. Laba isn’t about going with the flow — it’s about pushing the world forward.
• We provide only up-to-date insights from market experts—knowledge that can be immediately applied in practice, transforming workflows even during the learning process. Our products are designed for decisive action in business and careers.
• A socially responsible environment: we regularly launch charity projects and fundraisers to support Ukraine and its defense forces.
• Vertical and horizontal growth: 83% of our Heads of Departments and Team Leaders have been promoted internally.

Our recruitment process is transparent and straightforward.

Three stages: an interview with the Rectuiter→ Test Task→ an interview with the HM’s team

After that, the job offer will be in your inbox.🙌

We’re not looking for perfect candidates. We’re looking for bold and “one of us” people. 💛

Join the team. It’s going to be an amazing journey.

Project description

The project is for one of the world's famous science and technology companies in pharmaceutical industry, supporting initiatives in AWS, AI and data engineering, with plans to launch over 20 additional initiatives in the future. Modernizing the data infrastructure through the transition to Snowflake as a priority, as it will enhance capabilities for implementing advanced AI solutions and unlock numerous opportunities for innovation and growth.

We are seeking a highly skilled Snowflake Data Engineer to design, build, and optimize scalable data pipelines and cloud-based solutions across AWS, Azure, and GCP. The ideal candidate will have strong expertise in Snowflake, ETL Tools like DBT, Python, visualization tools like Tableau and modern CI/CD practices, with a deep understanding of data governance, security, and role-based access control (RBAC). Knowledge of data modeling methodologies (OLTP, OLAP, Data Vault 2.0), data quality frameworks, Stream lit application development and SAP integration and infrastructure-as-code with Terraform is essential. Experience working with different file formats such as JSON, Parquet, CSV, and XML is highly valued.

Responsibilities

In-depth knowledge of Snowflake's data warehousing capabilities.

Understanding of Snowflake's virtual warehouse architecture and how to optimize performance

and cost.

Proficiency in using Snowflake's data sharing and integration features for seamless collaboration.

Develop and optimize complex SQL scripts, stored procedures, and data transformations.

Work closely with data analysts, architects, and business teams to understand requirements and

deliver reliable data solutions.

Implement and maintain data models, dimensional modeling for data warehousing, data marts,

and star/snowflake schemas to support reporting and analytics.

Integrate data from various sources including APIs, flat files, relational databases, and cloud

services.

Ensure data quality, data governance, and compliance standards are met.

Monitor and troubleshoot performance issues, errors, and pipeline failures in Snowflake and

associated tools.

Participate in code reviews, testing, and deployment of data solutions in development and production environments.

Skills

Must have

5+ years of experience

Strong proficiency in Snowflake (Snowpipe, RBAC, performance tuning).

Ability to write complex SQL queries, stored procedures, and user-defined functions.

Skills in optimizing SQL queries for performance and efficiency.

Experience with ETL/ELT tools and techniques, including Snowpipe, AWS Glue, openflow, fivetran

r similar tools for real-time and periodic data processing.

Proficiency in transforming data within Snowflake using SQL, with Python being a plus.

Strong understanding of data security, compliance and governance.

Experience with DBT for database object modeling and provisioning.

Experience in version control tools, particularly Azure DevOps.

Good documentation and coaching practice.

Nice to have

experience with AWS Lambda, particularly in utilising Python to develop data extraction functionalities.

ability to retrieve data from platforms like SharePoint or Salesforce and transfer it to an S3 bucket

The project is for one of the world's famous science and technology companies in pharmaceutical industry, supporting initiatives in AWS, AI and data engineering, with plans to launch over 20 additional initiatives in the future. Modernizing the data infrastructure through the transition to Snowflake as a priority, as it will enhance capabilities for implementing advanced AI solutions and unlock numerous opportunities for innovation and growth.

We are seeking a highly skilled Snowflake Data Engineer to design, build, and optimize scalable data pipelines and cloud-based solutions across AWS, Azure, and GCP. The ideal candidate will have strong expertise in Snowflake, ETL Tools like DBT, Python, visualization tools like Tableau and modern CI/CD practices, with a deep understanding of data governance, security, and role-based access control (RBAC). Knowledge of data modeling methodologies (OLTP, OLAP, Data Vault 2.0), data quality frameworks, Stream lit application development and SAP integration and infrastructure-as-code with Terraform is essential. Experience working with different file formats such as JSON, Parquet, CSV, and XML is highly valued.

• Responsibilities:

  • In-depth knowledge of Snowflake's data warehousing capabilities.
  • Understanding of Snowflake's virtual warehouse architecture and how to optimize performance
  and cost.
  • Proficiency in using Snowflake's data sharing and integration features for seamless collaboration.
  • Develop and optimize complex SQL scripts, stored procedures, and data transformations.
  • Work closely with data analysts, architects, and business teams to understand requirements and
  deliver reliable data solutions.
  • Implement and maintain data models, dimensional modeling for data warehousing, data marts,
  and star/snowflake schemas to support reporting and analytics.
  • Integrate data from various sources including APIs, flat files, relational databases, and cloud
  services.
  • Ensure data quality, data governance, and compliance standards are met.
  • Monitor and troubleshoot performance issues, errors, and pipeline failures in Snowflake and
  associated tools.
  • Participate in code reviews, testing, and deployment of data solutions in development and production environments.

• Mandatory Skills Description:

  • 5+ years of experience
  • Strong proficiency in Snowflake (Snowpipe, RBAC, performance tuning).
  • Ability to write complex SQL queries, stored procedures, and user-defined functions.
  • Skills in optimizing SQL queries for performance and efficiency.
  • Experience with ETL/ELT tools and techniques, including Snowpipe, AWS Glue, openflow, fivetran
  or similar tools for real-time and periodic data processing.
  • Proficiency in transforming data within Snowflake using SQL, with Python being a plus.
  • Strong understanding of data security, compliance and governance.
  • Experience with DBT for database object modeling and provisioning.
  • Experience in version control tools, particularly Azure DevOps.
  • Good documentation and coaching practice.

We are looking for an Integration Engineer to design, build, and maintain reliable integrations between our advertising platform and external marketing services.
 

What you will do

— Develop and maintain integrations with Meta Marketing API and LinkedIn Marketing API: rate limits, async reports, breakdowns, attribution windows.

— Build and support data synchronization pipelines from Ad Platform APIs to BigQuery/ClickHouse via Cloud Run Jobs and n8n workflows.

— Ensure reliability of data sync: error handling, retry strategies, monitoring and alerting.

— Work with API rate limits, OAuth flows, and webhooks across advertising platforms.

— Participate in new integration projects from API evaluation through production rollout.

— Write production-grade Python code: error handling, logging, tests, documentation.

— Actively use AI-assisted development tools (Copilot, Cursor, Claude Code) for code generation, debugging, and pipeline design.
 

Requirements

— 5+ years in backend or data engineering with focus on API integrations.

— Hands-on experience with Meta Marketing API and/or LinkedIn Marketing API: real work with rate limits, async reports, breakdowns, attribution windows.

— Strong Python skills: production-grade code with error handling, logging, and tests.

— Solid understanding of data pipeline patterns: idempotency, backfill, incremental sync, schema evolution.

— Experience with GCP or comparable cloud (AWS/Azure) at service level: Cloud Run, BigQuery, or equivalents.
 

Nice to Have

— Knowledge of Programmatic ecosystem: DV360, The Trade Desk, OpenRTB.

— Experience with BigQuery and/or ClickHouse.

— Pulumi / Terraform for IaC.

— Understanding of advertising metrics: impressions, clicks, conversions, ROAS, attribution models.

— Experience with n8n or similar workflow orchestration tools.
 

What We Offer

— Fully remote with flexible hours (aligned with EU timezones for syncs).

— AI-first tooling — Claude Code licenses and cutting-edge AI development workflows.

— A team with no bureaucracy, decisions are made fast.

• Project Description:

  The project is for one of the world's famous science and technology companies in pharmaceutical industry, supporting initiatives in AWS, AI and data engineering, with plans to launch over 20 additional initiatives in the future. Modernizing the data infrastructure through the transition to Snowflake as a priority, as it will enhance capabilities for implementing advanced AI solutions and unlock numerous opportunities for innovation and growth.
  We are seeking a highly skilled Snowflake Data Engineer to design, build, and optimize scalable data pipelines and cloud-based solutions across AWS, Azure, and GCP. The ideal candidate will have strong expertise in Snowflake, ETL Tools like DBT, Python, visualization tools like Tableau and modern CI/CD practices, with a deep understanding of data governance, security, and role-based access control (RBAC). Knowledge of data modeling methodologies (OLTP, OLAP, Data Vault 2.0), data quality frameworks, Stream lit application development and SAP integration and infrastructure-as-code with Terraform is essential. Experience working with different file formats such as JSON, Parquet, CSV, and XML is highly valued.

• Responsibilities:

  • In-depth knowledge of Snowflake's data warehousing capabilities.
  • Understanding of Snowflake's virtual warehouse architecture and how to optimize performance
  and cost.
  • Proficiency in using Snowflake's data sharing and integration features for seamless collaboration.
  • Develop and optimize complex SQL scripts, stored procedures, and data transformations.
  • Work closely with data analysts, architects, and business teams to understand requirements and
  deliver reliable data solutions.
  • Implement and maintain data models, dimensional modeling for data warehousing, data marts,
  and star/snowflake schemas to support reporting and analytics.
  • Integrate data from various sources including APIs, flat files, relational databases, and cloud
  services.
  • Ensure data quality, data governance, and compliance standards are met.
  • Monitor and troubleshoot performance issues, errors, and pipeline failures in Snowflake and
  associated tools.
  • Participate in code reviews, testing, and deployment of data solutions in development and production environments.

• Mandatory Skills Description:

  • 5+ years of experience
  • Strong proficiency in Snowflake (Snowpipe, RBAC, performance tuning).
  • Ability to write complex SQL queries, stored procedures, and user-defined functions.
  • Skills in optimizing SQL queries for performance and efficiency.
  • Experience with ETL/ELT tools and techniques, including Snowpipe, AWS Glue, openflow, fivetran
  or similar tools for real-time and periodic data processing.
  • Proficiency in transforming data within Snowflake using SQL, with Python being a plus.
  • Strong understanding of data security, compliance and governance.
  • Experience with DBT for database object modeling and provisioning.
  • Experience in version control tools, particularly Azure DevOps.
  • Good documentation and coaching practice.

• Nice-to-Have Skills Description:

  - experience with AWS Lambda, particularly in utilising Python to develop data extraction functionalities.
  - ability to retrieve data from platforms like SharePoint or Salesforce and transfer it to an S3 bucket

• Languages:
  • English: B2 Upper Intermediate

Project Description:

The project is for one of the world's famous science and technology companies in pharmaceutical industry, supporting initiatives in AWS, AI and data engineering, with plans to launch over 20 additional initiatives in the future. Modernizing the data infrastructure through the transition to Snowflake as a priority, as it will enhance capabilities for implementing advanced AI solutions and unlock numerous opportunities for innovation and growth.

We are seeking a highly skilled Snowflake Data Engineer to design, build, and optimize scalable data pipelines and cloud-based solutions across AWS, Azure, and GCP. The ideal candidate will have strong expertise in Snowflake, ETL Tools like DBT, Python, visualization tools like Tableau and modern CI/CD practices, with a deep understanding of data governance, security, and role-based access control (RBAC). Knowledge of data modeling methodologies (OLTP, OLAP, Data Vault 2.0), data quality frameworks, Stream lit application development and SAP integration and infrastructure-as-code with Terraform is essential. Experience working with different file formats such as JSON, Parquet, CSV, and XML is highly valued.

Responsibilities:

• In-depth knowledge of Snowflake's data warehousing capabilities.
• Understanding of Snowflake's virtual warehouse architecture and how to optimize performance
and cost.
• Proficiency in using Snowflake's data sharing and integration features for seamless collaboration.
• Develop and optimize complex SQL scripts, stored procedures, and data transformations.
• Work closely with data analysts, architects, and business teams to understand requirements and
deliver reliable data solutions.
• Implement and maintain data models, dimensional modeling for data warehousing, data marts,
and star/snowflake schemas to support reporting and analytics.
• Integrate data from various sources including APIs, flat files, relational databases, and cloud
services.
• Ensure data quality, data governance, and compliance standards are met.
• Monitor and troubleshoot performance issues, errors, and pipeline failures in Snowflake and
associated tools.
• Participate in code reviews, testing, and deployment of data solutions in development and production environments.

Mandatory Skills Description:

• 5+ years of experience
• Strong proficiency in Snowflake (Snowpipe, RBAC, performance tuning).
• Ability to write complex SQL queries, stored procedures, and user-defined functions.
• Skills in optimizing SQL queries for performance and efficiency.
• Experience with ETL/ELT tools and techniques, including Snowpipe, AWS Glue, openflow, fivetran
or similar tools for real-time and periodic data processing.
• Proficiency in transforming data within Snowflake using SQL, with Python being a plus.
• Strong understanding of data security, compliance and governance.
• Experience with DBT for database object modeling and provisioning.
• Experience in version control tools, particularly Azure DevOps.
• Good documentation and coaching practice.

Nice-to-Have Skills Description:

- experience with AWS Lambda, particularly in utilising Python to develop data extraction functionalities.
- ability to retrieve data from platforms like SharePoint or Salesforce and transfer it to an S3 bucket

Languages:

English: B2 Upper Intermediate

TJHelpers is committed to developing strong engineering teams through mentorship, real project experience, and our “Helpers as a Service” model. We provide structured growth, hands-on practice, and a supportive environment where engineers can evolve quickly and meaningfully.

We are looking for a Junior Data Engineer to join our team and help build and maintain reliable data pipelines, transformations, and datasets for modern products in fintech, AI, telecommunications, healthcare, and other data-driven domains.

This is a great opportunity to work with real-world data, grow in data engineering, and gain hands-on experience with SQL, Python, ETL/ELT processes, and modern data platforms.

Responsibilities

• Support the development and maintenance of data pipelines and ETL/ELT processes 
• Collect, clean, transform, and load data from databases, APIs, files, and external systems 
• Write and optimize SQL queries for data preparation and transformation 
• Assist in building datasets for analytics, reporting, and internal products 
• Support data quality, consistency, and reliability across pipelines and datasets 
• Work with structured and semi-structured data 
• Participate in troubleshooting and improving data processes 
• Assist in monitoring and improving data pipeline reliability and performance 
• Collaborate with engineers, analysts, and product teams 

Requirements

• Basic understanding of data engineering concepts and data pipeline architecture 
• Hands-on experience writing SQL queries and working with Python 
• Understanding of relational databases such as PostgreSQL or MySQL 
• Ability to write SQL queries using joins, filtering, aggregations, and transformations 
• Basic understanding of ETL/ELT processes 
• Understanding of data modeling and data transformation principles 
• Familiarity with data formats such as CSV and JSON and working with APIs 
• Basic understanding of structured and semi-structured data 
• Analytical thinking and attention to detail 

• Motivation to learn and grow in a technical environment 

   

Nice to Have

• Basic experience with Pandas 
• Basic familiarity with Spark or PySpark 
• Familiarity with Airflow, dbt, or similar tools 
• Understanding of data warehouses such as BigQuery, Snowflake, or Redshift 
• Familiarity with cloud platforms such as AWS, GCP, or Azure 
• Familiarity with Git 
• Experience with BI or analytics tools 

• Interest in data platforms, analytics engineering, or ML/AI workflows 

   

What We Offer

• Work with real production data systems and modern technologies 
• Mentorship from experienced engineers and tech leads 
• Clear growth path to Middle Data Engineer level 
• Supportive engineering culture focused on learning and practical development 
• Flexible schedule and fully remote work opportunities

About the role

As a Senior Frontend Engineer on the Payments Platform team, you'll build scalable, high-performance frontend infrastructure and user experiences that power payment flows for global merchants. You'll work closely with product, design, backend, and customer-facing teams to ship reliable, elegant, developer-friendly solutions used across multiple products and integrations. The role combines strong product thinking with engineering excellence — from building reusable UI systems and SDKs to optimizing performance, reliability, and scalability across our platform.

Responsibilities

• Design and develop scalable, performant, maintainable frontend applications using React, TypeScript, and modern web technologies.
• Build reusable UI components, shared libraries, and SDKs that support multiple products and integrations.
• Collaborate closely with Product, Design, Backend, and Customer-facing teams.
• Own features end-to-end — technical planning, architecture, implementation, testing, deployment, and monitoring.
• Optimize application performance, responsiveness, and reliability across devices and browsers.
• Code reviews, testing, documentation, and observability.
• Publish and manage SDK and NPM package versions, including backward compatibility and release management.

• Improve development workflows, tooling, and engineering best practices across the frontend ecosystem.

   

Requirements

• 5+ years of experience building modern web applications.
• Strong proficiency in React, TypeScript, JavaScript, HTML, CSS.
• Experience designing and maintaining reusable frontend architectures, component libraries, or SDKs.
• Experience managing NPM packages, versioning, and release processes.
• Experience building and maintaining frontend integrations with global payment platforms (Adyen, Stripe, Nuvei) — hosted components, wallets, alternative payment methods.
• Strong understanding of frontend performance optimization and modern browser behavior.
• Experience working with APIs and complex asynchronous flows.

• Excellent written and verbal English.

   

Nice to have / Advantage

• Familiarity with Next.js (SSR / App Router).
• Familiarity with additional frontend frameworks (Angular, Vue, etc.)
• Experience with cloud environments and CDN infrastructure (AWS preferred).

• Experience working in production-scale environments with high reliability requirements.

   

• Project Description:

  We are seeking a highly skilled Snowflake Data Engineer with 7 years of IT experience to design, build, and optimize scalable data pipelines and cloud-based solutions across AWS, Azure, and GCP. The ideal candidate will have strong expertise in Snowflake, ETL Tools like DBT, Python, visualization tools like Tableau and modern CI/CD practices, with a deep understanding of data governance, security, and role-based access control (RBAC). Knowledge of data modeling methodologies (OLTP, OLAP, Data Vault 2.0), data quality frameworks, Stream lit application development and SAP integration and infrastructure-as-code with Terraform is essential. Experience working with different file formats such as JSON, Parquet, CSV, and XML is highly valued.

• Responsibilities:

  • Design and develop data pipelines using Snowflake and Snow pipe for real-time and batch ingestion.
  • Implement CI/CD pipelines in Azure DevOps for seamless deployment of data solutions.
  • Automate DBT jobs to streamline transformations and ensure reliable data workflows.
  • Apply data modeling techniques including OLTP, OLAP, and Data Vault 2.0 methodologies to design scalable architectures.
  • Document data models, processes, and workflows clearly for future reference and knowledge sharing.
  • Build data tests, unit tests, and mock data frameworks to validate and maintain reliability of data solutions.
  • Develop Streamlit applications integrated with Snowflake to deliver interactive dashboards and self-service analytics.
  • Integrate SAP data sources into Snowflake pipelines for enterprise reporting and analytics.
  • Leverage SQL expertise for complex queries, transformations, and performance optimization.
  • Integrate cloud services across AWS, Azure, and GCP to support multi-cloud data strategies.
  • Develop Python scripts for ETL/ELT processes, automation, and data quality checks.
  • Implement infrastructure-as-code solutions using Terraform for scalable and automated cloud deployments.
  • Manage RBAC and enforce data governance policies to ensure compliance and secure data access.
  • Collaborate with cross-functional teams including business analysts, and business stakeholders to deliver reliable data solutions.

• Mandatory Skills Description:

  • Strong proficiency in Snowflake (Snowpipe, RBAC, performance tuning).
  • Hands-on experience with Python , SQL , Jinja , JavaScript for data engineering tasks.
  • CI/CD expertise using Azure DevOps (build, release, version control).
  • Experience automating DBT jobs for data transformations.
  • Experience building Streamlit applications with Snowflake integration.
  • Cloud services knowledge across AWS (S3, Lambda, Glue), Azure (Data Factory, Synapse), and GCP (BigQuery, Pub/Sub).

• Nice-to-Have Skills Description:

  - Cloud certifications is a plus

• Languages:
  • English: B2 Upper Intermediate