Data/ML Engineer

Location: Required to be in Stockholm on-site minimum 3 days per week

Job description:

GCP requirements:

Familiar with Vertex AI pipeline/kubeflow pipelines

Familiar with BigQuery,

Can code SQL

Familiar with Cloud composer / airflow

Familiar with IAM, service account

Familiar with Data catalog

Understand Infrastructure as Code

Good to have knowledge with Dataflow, and K8s.

Cloud agnostic skills:

Python:

Deep knowledge about python programing, practice OOP, following coding best practice, know how to use flake8, mypy, black, SonarQube and pre-commit

Deep knowledge in unit test and end to end test, familiar with Pytest, fixtures, unittest etc

Unix:

Familiar with popular Unix system, know how to install sth in docker.

Familiar with shell

Git:

Know how to create PR and solve merge conflict.

Can create CI/CD pipeline in either Github Action using best practice

Docker

Deep understanding with Docker

DBT

Deep Knowledge in DBT, preferably with GCP

SQL

Deep knowledge of SQL

Deep understanding with Data modeling, system design

Soft skills:

Can do attitude,

Problem solving, even if there is sth new that you don't know. You have a proper way to solve it. For example, knowing how to Google is always good.

Communication skills with Stakeholders and tech ppl.

Love code review and feedback

This role is in a team that works with customer-facing recommendation systems, so previous experience with high-availability APIs, machine learning–based recommendation, and personalization systems is considered a merit.

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