Data Engineer | Senior

Humain Dev Systems; Time; On-site; NOK 900,000 - 1,200,000; Full time

Job summary

Humain Dev Systems in Norway seeks a Senior Data Engineer to own data infrastructure, ensuring accuracy, performance and reliability across systems. You will design, implement, and maintain data models, warehouses, and ETL pipelines, while collaborating with product, engineering, and DevOps teams to enable seamless data flow.

Role emphasizes handling high-volume data environments, optimizing queries, and enforcing security with IAM roles and permissions.

Qualifications

• Experience with complex database structures and MySQL expertise.
• Background in Big Data processing and large-scale data systems.
• Hands-on with data modeling, warehousing, and ETL pipelines.
• Experience managing frequently updating data and query optimization.
• Proficiency with AWS and IAM roles/permissions.

Responsibilities

• Collect, validate, and ensure data accuracy from multiple sources.
• Optimize and restructure databases for efficiency and scalability.
• Improve query performance for mission-critical data.
• Implement and manage DB sharding for scalability.
• Design, develop, and maintain data models, warehouses, and ETL pipelines.
• Work with high-volume data environments and updating data systems.
• Collaborate with product, engineering, and DevOps for seamless data flow.
• Ensure data security and compliance using IAM roles and permissions.

Skills

Complex databases

MySQL

Big Data

ETL pipelines

AWS

IAM and security

Tools

Airflow

Spark

Kafka

Job description

Previously Operating as Elite Dev Squad

We are looking for a highly skilled Senior Data Engineer to join our team and take ownership of optimizing, scaling, and maintaining our data infrastructure. You will play a critical role in ensuring data accuracy, performance, and reliability across our systems.

Full-time / On-site

Deadline: 2026-10-16

Responsibilities

• Collect, validate, and ensure accuracy of data from multiple sources
• Optimize and restructure databases to improve efficiency and scalability
• Improve query performance with a strong focus on mission-critical queries (especially for Evidence data)
• Implement and manage DB sharding strategies for scalability
• Design, develop, and maintain data models, warehouses, and ETL pipelines
• Work with frequently updating, high-volume data environments
• Collaborate with product, engineering, and DevOps teams to ensure seamless data flow
• Ensure data security and compliance using IAM roles and permissions

Required Qualifications

• Extensive experience working with complex database structures
• Expert knowledge of databases (especially MySQL)
• Strong background in Big Data technologies and large-scale data processing
• Hands-on experience with data modeling, warehousing, and ETL pipelines
• Experience managing frequently updating data systems
• Solid understanding of query optimization and performance tuning
• Proficiency with AWS services, Redis, IAM roles and permissions
• Strong problem-solving skills and ability to work in fast-paced environments

Nice to Have

• Familiarity with Soft DevOps skills (CI/CD, containerization, monitoring, etc.)
• Exposure to modern data stack tools (Airflow, Spark, Kafka, etc.)

When the System Works, Everything Works.

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