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Data Engineer

The Dot Collective
Warsaw, Polandfull_timePosted 27 Mar 2025

About the role

<div class="content-intro"><h2 class="font-[TTCommonsProDemiBold] text-2xl lg:text-4xl mb-10">About The Dot Collective</h2> <div class="grid grid-cols-6 z-0"> <p class="font_8 wixui-rich-text__text"><span class="wixui-rich-text__text">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. </span></p> <p class="text-2xl leading-[2.3rem] mb-4 last:mb-0">We work with all modern tech stacks and typically run agile scrum on all our projects.</p> </div> <h2 class="font-[TTCommonsProDemiBold] text-3xl mb-6">About you</h2> <p class="text-2xl leading-[2.3rem] mb-4 last:mb-0">Are you passionate about data and its transformational powers? Do you like being able to make a huge difference in a limited period of time? We might be just the right place for you.</p></div><p class="text-2xl leading-[2.3rem] mb-4 last:mb-0" style="font-style: normal; font-weight: 400; letter-spacing: normal; text-align: start; white-space: normal; word-spacing: 0px; text-decoration: none; color: rgb(0, 0, 0); font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 13px;"><strong>Your key skills and capabilities:</strong></p> <p class="text-2xl">·      Implementing cloud-native data platforms<br>·      Engineering scalable and reliable pipelines<br>·      Good knowledge of distributed computing with Spark<br>·      Understanding of cloud architecture principles and best practices<br>·      Hands-on experience in designing, deploying, and managing cloud resources<br>·      Excellent python and SQL skills<br>·      Agile ways of working<br>·      Experience in cloud automation and orchestration using tools such as CloudFormation or Terraform<br>·      Monitoring and performance tuning of cloud-based applications and services</p> <p><span data-contrast="auto">Nice to haves: (MLOps): </span><span data-ccp-props="{}"> </span></p> <ul> <li><span data-contrast="auto">Model Deployment & Serving – Deploy and manage ML models using MLflow, Azure ML, SageMaker, or similar, ensuring scalability and performance.</span><span data-ccp-props="{}"> </span></li> <li><span data-contrast=&q

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Company

The Dot Collective

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