Data Engineer

Swediumglobal; Stockholms kommun; On-site; SEK 535,733 - 750,026; Full time

Job summary

A growing technology firm in Stockholm is seeking a Senior Data Engineer to lead data transformation and ensure high-quality data products. The ideal candidate will have strong skills in GCP, SQL, Python, and a DevOps mindset. Responsibilities include designing and maintaining data infrastructure for machine learning projects, collaborating with cross-functional teams, and writing scalable code. Certification in GCP is required, and passion for data is essential for success in this role.

Qualifications

• Experience in data query languages (SQL or similar) and BigQuery.
• Ability to design, develop, and maintain large-scale data infrastructure.
• Proficient in CI/CD pipelines and DevOps principles.

Responsibilities

• Take end-to-end responsibility for data infrastructure for machine learning projects.
• Work in a cross-functional agile team to build the AI ecosystem.
• Write scalable and maintainable code based on software architecture principles.

Skills

GCP service (BigQuery, cloud run, cloud functions, pubsub, dataflow, cloud composer)

SQL

Python

DBT

Terraform

Basics of Azure

Education

Required GCP cloud certification

Job description

Swedium Global is the growing SystemEngineering and Solution Company, offers services like SemiconductorEngineering R&D Services, Embedded Systems Development, Custom Application Software Development, Web and Cloud Application Development, Testing Services, Consultancy and Outsourcing services to our clients across the globe for an onsite and offshore business model. Swedium Global is having presence in Sweden, Finland, Poland, Czech Republic and in India.

Swedium Global is looking for a Senior Data Engineer

Location: Stockholm

• GCP service – (BigQuery, cloud run, cloud functions, pubsub, dataflow, cloud composer, etc.)
• SQL
• Python
• DBT
• Terraform
• Basics of Azure

You will be involved in one of the biggest data transformation journey. As a data engineer, you will be working with building of data products in the context of Data Mesh concept based on defined target vision and requirements.

We appreciate a multitude of technical backgrounds, and we believe you will enjoy working here if you are passionate about data. In this role, you will be required to implement data-intensive solutions for a data-driven organization.

You will join the Data Engineering Competence area within AI (Artificial Intelligence) and be an individual contributor in one of the data product-teams. The area supports all our brands globally to create, structure, guard and ensure data is available, understandable and of high quality.

Responsibilities:

• Experience in data query languages (SQL or similar), BigQuery, and different data formats (Parquet, Avുടെ)
• Take end-to-end responsibility to design, develop and maintain the large-scale data infrastructure required for the machine learning projects
• Have the DevOps mindset and principles to manage CI/CD pipelines and terraform as well as Cloud infrastructure, in our context, it is GCP (Google Cloud Platform).
• Leverage the understanding of software architecture and software design patterns to write scalable, maintainable, well-designed, and future‑proof code
• Work in cross-functional agile team of highly skilled engineers, data scientists, business stakeholders to build the AI ecosystem

Required.FAIL cloud certification: GCP

Job Overview

• Location: Stockholm, Sweden
• Vacancy: 1
• Key Skills: GCP service – (BigQuery, cloud run, cloud functions, pubsub, dataflow, cloud composer, etc.), SQL, Python, DBT, Terraform