Senior Data Engineer, Machine Learning


Big Data

Our data team focuses on architecting and creating data pipelines, platforms, and warehouses on Google Cloud Platform. They provide the means to turn raw data into valuable insights.



We have colleagues from around the world. We aspire to work with the most talented people, regardless of where they are based.



Work flexibly from the comfort of your home, or a nearby co-working space - we will provide the necessary tools.

This role will suit you if

  • you want to work with A+ colleagues, who are also the region's most experienced GCP developers.
  • you have ambitions both to solve customer requirements in a dynamic project environment and contribute to the development of our ML products and data pipelines.
  • working with different people on different problems is refreshing for you.
  • keeping your knowledge up-to-date is just as important to you as sharing it.

You will be responsible for

  • using your expertise to automate and optimize data and CI/CD pipelines and workflows.
  • architecting, deploying, scaling, and supporting ML solutions in the cloud.
  • transforming ML experiments into production-ready, stable solutions.
  • implementing your ideas and creating structured code.
  • holding technical training sessions and workshops for our customers.

You will need

  • a university degree in a technical field or equivalent data engineering, data science, or ML engineering experience.
  • 5+ years of experience in data engineering (using Google BigQuery, Apache Beam, Apache Airflow, etc.)
  • proficiency in writing software with Python in a collaborative environment.
  • solid knowledge of data processing with SQL and with Python libraries (e.g. pandas, Dask, PySpark)
  • a deep understanding of software development lifecycles and engineering practices (data pipelines, API workflows, CI/CD, containerization, observability, and security) – knowledge of ML Ops principles, techniques, and tooling is a plus.
  • curiosity and a passion to learn new methodologies and technologies.
  • good communication skills in English.

It would be nice if you also had

  • a thorough understanding of data science workflows, especially in production-level model deployment, operation, and artifact management aspects.
  • familiarity with ML libraries, such as scikit-learn, Tensorflow, or Pytorch.
  • client-facing skills and consulting experience.
  • hands-on experience with cloud computing.
  • knowledge of ML Ops principles, techniques, and tooling
  • experience in building ML pipelines with Kubeflow, Apache Airflow, Apache Beam, Vertex AI, TFX or with Sagemaker Pipelines.
  • good communication skills in German.

You will have the opportunity to

  • use cutting-edge technologies.
  • learn from A+ big data and Google Cloud experts and mentor talented juniors.
  • learn as part of your job by capitalizing on our company-level knowledge management system.
  • maintain a healthy work-life balance by taking advantage of our flexible working hours and home office support.
  • travel to cool places, such as Singapore (when COVID allows).

What our team loves about Aliz

“I appreciate our open communication and proactive feedback culture which sets the ground for efficient and enjoyable work.”

“Flat organization structure.”

“We are always in the first line to use Google enterprise solutions, so I feel we are pioneers in a pioneering industry.”

“I appreciate our open communication and proactive feedback culture which sets the ground for efficient and enjoyable work.”


Join our team!


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© Copyright 2022 Aliz Tech Kft.
Aliz is a proud Google Cloud Premier Partner with specializations in Data Analytics and Machine Learning. We deliver data analytics, machine learning, and infrastructure solutions, off the shelf, or custom-built on GCP using an agile, holistic approach.


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