Data Engineer

The Dot Collective; Warszawa; On-site; PLN 167,400 - 279,000; Full time

Benefits offered by this job

Comprehensive employee wellbeing program

Flexible working arrangements

Remote working options

Parental leave

Sabbaticals

Opportunity to work on personal projects

Job summary

A leading consultancy in the UK and EU is looking for a passionate data engineer in Warsaw to design and implement cloud-native data platforms. The role offers the opportunity to work with modern tech stacks in an agile environment, emphasizing employee wellbeing and team stability. You will be involved in engineering reliable data pipelines, deploying ML models, and contributing to a positive work culture.

Qualifications

• Knowledge of architecting and deploying data platforms.
• Hands-on experience in designing and managing cloud resources.
• Experience with model deployment and monitoring (MLOps) is a plus.

Responsibilities

• Designing and implementing cloud-native data infrastructures.
• Engineering scalable data pipelines.
• Monitoring application performance and tuning cloud services.

Skills

Cloud-native data platforms

Distributed computing (Spark)

Cloud automation (CloudFormation, Terraform)

Python

SQL

Agile methodologies

Monitoring and performance tuning

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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