Data Engineer - Azure

The Dot Collective; Warszawa; On-site; PLN 167,400 - 334,800; Full time

Benefits offered by this job

Mental health support

Flexible working arrangements

Comprehensive employee wellbeing program

Job summary

A modern consultancy in Poland seeks a data engineer passionate about implementing cloud-native data platforms and engineering reliable data pipelines. The role emphasizes a positive work culture, comprehensive wellbeing programs, and flexible work arrangements. Ideal candidates will have strong cloud knowledge, particularly in tools like Spark and experience with Python and SQL.

Qualifications

• Experience in cloud automation and orchestration.
• Hands-on experience in designing, deploying, and managing cloud resources.
• Knowledge of architecting, designing, and operating a data platform.

Responsibilities

• Implement cloud-native data platforms.
• Engineer scalable and reliable data pipelines.
• Monitor and performance tune cloud applications.

Skills

Implementing cloud-native data platforms

Engineering scalable and reliable pipelines

Good knowledge of distributed computing with Spark

Understanding of cloud architecture principles

Hands-on experience in cloud resources

Excellent python and SQL skills

Agile ways of working

Cloud automation using tools like CloudFormation or Terraform

Job description

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. All our consultants have equity in the company, genuinely love what they do and are really good at it.

We work with all modern tech stacks and typically run agile scrum on all our projects.

About you

Are you passionate about data and its transformational powers? Do youlike being able to make a huge difference in a limited period of time? We might be just the right place for you.

Your key skills and capabilities:

· 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

Nice to haves: (MLOps):

• 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

We expect you to have some knowledge about how to architect, design, develop, deploy, and operate a data platform.

Our promise to you

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 and 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 – your team will be stable across different projects and you will work with people you trust and like.

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

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