Data Engineer: Pipelines, Warehousing & IaC

Fore Development AB; Göteborgs kommun; On-site; SEK 650,000 - 900,000; Full time

Job summary

ENGAGE STUDIOS on Sweden’s west coast seeks a Data Engineer to build and operate business-owned data products on the existing platform. You will focus on batch and streaming pipelines, data warehouse development, governance, quality, and automation across cloud environments.

Responsibilities include designing ETL/ELT workflows, data models, and dashboards; supporting data integration across AWS and Alibaba Cloud; and building automated, auditable data pipelines with infrastructure as code.

Qualifications

• 3-5 years in data engineering or data platform ops.
• Bachelor's or Master's in CS, Eng, IT or related field.
• SQL proficiency and Python/PySpark experience.
• Strong data warehousing, modelling, ETL/ELT knowledge.
• Experience with batch/streaming pipelines.
• Terraform and IaC familiarity.
• Monitoring, troubleshooting and production support.
• Understanding of governance, privacy and retention.
• Git CI/CD and automated testing familiarity.
• Fluent English; Chinese is a plus.

Responsibilities

• Design, develop and maintain batch and streaming data pipelines.
• Develop ETL/ELT workflows for cleansing, transformation and enrichment.
• Design and maintain data models and warehouses for analytics.
• Support data integration across AWS, Alibaba Cloud, etc.
• Use IaC to deploy data resources and automate deployments.
• Govern data dictionaries, lineage and access controls.
• Implement data quality checks and monitor pipelines.

Skills

SQL

Python/PySpark

ETL/ELT design

Data warehousing

Governance & quality

Education

Bachelor's degree in CS/Engineering

Tools

Databricks

Terraform

Git CI/CD

Job description

ENGAGE STUDIOS on Sweden’s west coast seeks a Data Engineer to build and operate business-owned data products on the existing platform. You will focus on batch and streaming pipelines, data warehouse development, governance, quality, and automation across cloud environments.

Responsibilities include designing ETL/ELT workflows, data models, and dashboards; supporting data integration across AWS and Alibaba Cloud; and building automated, auditable data pipelines with infrastructure as code.