Data engineer in cloud platforms

Dot Collective; Warszawa; Remote; PLN 260,000 - 380,000; Full time

Benefits offered by this job

Гибкий график

Удалённая работа

Забота о благополучии

Собственные проекты

Программы обучения

Job summary

Dot Collective ищет инженера по данным для разработки облачных нативных дата–платформ и конвейеров данных в рамках межевропейской команды.

Вам предстоит проектировать, разворачивать и поддерживать облачные ресурсы, обеспечивая масштабируемость и производительность, работать с Spark, Python и SQL.

Преимущества: удалённая работа, гибкий график, поддержка благополучия сотрудников и возможности для личного роста.

Qualifications

• Необходимо внедрять облачные нативные дата-платформы.
• Проектирование масштабируемых конвейеров данных.
• Хорошие знания распределённых вычислений с Spark.
• Понимание принципов и лучших практик облачной архитектуры.
• Практический опыт проектирования, развёртывания и управления облачными ресурсами.
• Отличные навыки Python и SQL.
• Гибкие подходы Agile.
• Опыт автоматизации и оркестрации в облаке инструментами CloudFormation или Terraform.
• Мониторинг и настройка производительности облачных приложений и сервисов.

Responsibilities

• Внедрение облачных нативных дата-платформ.
• Проектирование и развёртывание масштабируемых пайплайнов данных.
• Работа с облачными ресурсами: проектирование, развёртывание, эксплуатация.
• Мониторинг и настройка производительности облачных приложений и сервисов.

Skills

Python

SQL

Distributed computing

Cloud architecture

Agile

Cloud automation

Monitoring

Performance tuning

Tools

CloudFormation

Terraform

Spark

Job description

Описание:

We are a new generation consultancy based across UK and EU and founded on the premises of the engineering excellence and empowering people to make an impact. We work with all modern tech stacks and typically run agile scrum on all our projects.

Требования:

• Implementing cloud-native data platforms
• Engineering scalable and reliable pipelines
• Good knowledge of distributed computing with Spark
• Understanding of cloud architecture principles and best practices
• Hands‑on experience in designing, deploying, and managing cloud resources
• Excellent python and SQL skills
• Agile ways of working
• Experience in cloud automation and orchestration using tools such as CloudFormation or Terraform
• Monitoring and performance tuning of cloud-based applications and services
• We expect you to have some knowledge about how to architect, design, develop, deploy, and operate a data platform.

Будет плюсом:

• Model Deployment & Serving – Deploy and manage ML models using MLflow, Azure ML, SageMaker, or similar, ensuring scalability and performance
• Monitoring & Retraining – Set up model drift detection, performance monitoring, and automated retraining
• ML Pipelines & CI/CD – Automate end-to-end ML workflows

Условия:

We will always see you as a human being and will do our very best to support your needs and wellbeing –

• well-designed co‑working and collaboration spaces
• remote working patterns that work for you
• parenting leave
• sabbaticals
• ability to work on personal projects

We believe that a geled team is worth its weight in gold – we will do everything we can to avoid breaking well‑performing teams. Whilst continuity across every project is not always possible, we thoughtfully assemble high‑performing, blended teams with the appropriate levels of experience and expertise to deliver the best outcomes for our clients — and teams you’ll enjoy working with.

We are committed to prioritising the wellbeing of our employees. To fulfil this promise, we provide a comprehensive employee wellbeing program that includes mental health support, flexible working arrangements, wellness activities, and a positive work culture.

• employee wellbeing program
• mental health support
• flexible working arrangements
• wellness activities
• positive work culture

We recognise that the world of tech delivery has moved on significantly in the last 15 years and know a thing or two about how to bring projects over the line without experiencing lots of despair and burn‑out. In fact, we like to believe that our projects are the opposite of that – they are run smoothly and most of the time are fun to work on.