**Join us and work with Google**
Aliz is conquering the world by building big data and machine learning solutions as a certified Google Cloud partner. We have offices in Singapore, Jakarta, Berlin, Qatar, Hungary, and Milan.
We are looking for a Senior Data Engineer, Machine Learning who will support our clients as they begin their journey on the Google Cloud Platform (GCP). Are you also passionate about data and the cloud? If yes, then keep reading.
**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 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 and Europe.
Learn more about the data team here.
Check out our Indonesia team by visiting our career page.
**About Aliz**
Aliz was founded by a group of driven software engineers with one vision in mind: Build a human-centered company to solve exciting business challenges with cutting-edge technologies all around the globe.
Our team includes **engineers, industry experts, and digital professionals** who ensure our clients are ready to face the challenges of the ever-changing digital world.
Life has been pretty exciting at Aliz recently. After we became Google Cloud's Breakthrough Partner of the Year in APAC (2019), we built a team in Singapore and Berlin, opened an engineering hub in Jakarta, launched a business in Italy and Qatar, and started to support IT education.
You couldn't pick a better time to join this world-class team of cloud experts.
jqhrzq9o0m
