Senior Data Engineer - Scalable Data Platform & APIs Hybrid

Techrytera; Malmö kommun; Hybrid; SEK 800,000 - 1,000,000; Full time

Job summary

Techrytera AB is seeking a Senior Data Engineer for a hybrid assignment requiring regular on-site attendance. You will build and maintain large-scale data platforms and backend solutions supporting multiple products.

You will translate pipeline designs into robust implementations, create data processing solutions used across teams, and develop services and APIs to make data accessible. Collaboration with engineers, analysts and product stakeholders is essential as you help evolve modern data

Qualifications

• Backend development experience with Java or Scala.
• Strong software engineering fundamentals.
• Academic degree in Computer Science or Engineering.
• Fluent English communication.
• Multiple years of Data Engineer or equivalent experience.
• Proficient Python coding.

Responsibilities

• Build and maintain large-scale data platforms and backend solutions.
• Turn pipeline designs into robust, scalable implementations.
• Create data processing solutions shared by multiple teams.
• Develop services and APIs that make data accessible.
• Investigate, resolve and optimise existing platform functionality.
• Collaborate with engineers, analysts and product stakeholders to shape architecture.

Skills

Backend development

Java

Scala

Software engineering fundamentals

English fluency

Python

Education

CS/Engineering degree

Tools

Kubernetes

Cloud-native architectures

Data streaming

Observability tooling

Job description

Techrytera AB is seeking a Senior Data Engineer for a hybrid assignment requiring regular on-site attendance. You will build and maintain large-scale data platforms and backend solutions supporting multiple products.

You will translate pipeline designs into robust implementations, create data processing solutions used across teams, and develop services and APIs to make data accessible. Collaboration with engineers, analysts and product stakeholders is essential as you help evolve modern data