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emagine

Backend Engineer in Data Platform team

emagine
Sweden · Full-time · Not Applicable
Start: Now

Duration: 31 June 2025 + possible extension

Location: Hybrid from the Stockholm office

Rate: 815 sek/h

  • Please note we are only looking for consultants based in Stockholm.****

What You Need To Know About The Role

We are looking for an experienced Backend Engineer who is interested in Data Engineering. An engineer who can identify, design, and implement solutions for optimizing data delivery and who can design and maintain large scale data pipelines..

Meet our team

By joining Data Platform, you will be part of a high-performance team powered by people from different regions of the world and working together on providing the best platform to collect, enrich and expose data for teams to make smarter and faster data-driven decisions.

Your way to impact

On a more practical level, you will design and maintain large scale data pipelines. With that in mind, here you will get the opportunity to:

  • Build and maintain robust data pipelines on Google Cloud Platform (GCP). Integrate data pipelines with internal tools and services using backend services and APIs.
  • Experiment fearlessly, take responsibilities, and grow your expertise to the next level in data engineering and cloud technologies.
  • Enable a data informed product development organization by delivering high quality data fast and easy to data users within the company.

What Do You Need To Bring

In the Data Platform Team, we are mainly programming in Java and Python while our stack also includes Kotlin, Airflow, Spark, Beam, BigQuery that is hosted on Google Cloud Platform. The infrastructure is defined in Terraform and we are using both continuous integration and deployment.

Core Requirements:

  • Strong software engineering fundamentals with a focus on backend development.
  • Experience working in cloud environments, such as Google Cloud Platform (GCP) or Amazon Web Services (AWS).
  • Proficiency in at least one OOP language, preferably Java, Kotlin, or Python.
  • Solid understanding of SQL and analytical databases, such as BigQuery.

Data Engineering Skills (Nice-to-have):

  • Experience with data processing frameworks like Apache Beam.
  • Knowledge of workflow management platforms like Airflow.
  • Interest in data engineering and a willingness to learn and grow in this area.
  • Experience with data pipelines, ETL processes, and data warehousing would be a HUGE PLUS.

Key Skills

Ranked by relevance

cloud google cloud platform kotlin java gcp continuous integration data warehousing terraform python apache spark sql etl oop
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Country Guide

Sweden

Nordic quality of life with strong tech brands

Posted
Mar 03, 2025
Type
Full-time
Level
Not Applicable
Location
Greater Stockholm Metropolitan Area
Company
emagine

Industries

IT Services IT Consulting

Categories

Engineering Information Technology

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