Senior Data Engineer

JSAN Consulting Group; Göteborgs kommun; On-site; SEK 1,200,000 - 1,500,000; Full time

Job summary

JSAN Consulting Group in Gothenburg seeks a Senior Data Engineer with 10+ years of experience to architect, build, and operate enterprise-scale data platforms.

You will lead data architecture decisions, implement Data Vault and modern data models, drive CI/CD, ensure reliability and governance, and collaborate with stakeholders to shape data strategy and roadmaps. Mentoring and incident leadership are key parts of the role.

Qualifications

• 10+ years of experience architecting, developing, and operating enterprise-scale data platforms.
• Expertise in Data Vault and modern data architecture.
• Proven track record leading large-scale production support and operational activities.

Responsibilities

• Lead design and implementation of scalable data platform solutions using Snowflake, DBT, SQL, and Python.
• Architect enterprise data pipelines, data warehouses, and transformation frameworks.
• Drive CI/CD adoption, automation, and engineering best practices.
• Own end-to-end operational health, incident triage, troubleshooting, and RCA.
• Define monitoring, alerts, runbooks, SLAs, and escalation procedures.
• Define data governance standards, data quality, observability, and security compliance.
• Mentor Data Engineers and lead architecture discussions and technical reviews.

Skills

Python development

Data Vault

Data architecture

Leadership & mentoring

Production support

Job description

We are seeking a Senior Data Engineer with 10+ years of experience in architecting, developing, and operating enterprise-scale data platforms.

This role combines technical leadership, solution design, hands‑on engineering, and operational ownership.

The ideal candidate will lead the delivery of modern data solutions while ensuring platform reliability, supportability, and operational excellence.

Key Responsibilities:

Solution Architecture & Engineering Leadership

Lead the design and implementation of scalable data platform solutions using Snowflake, DBT, SQL, and Python.

Architect enterprise-wide data pipelines, data warehouses, and transformation frameworks.

Establish standards for Data Vault and dimensional modeling implementations.

Drive CI/CD adoption, automation, and engineering best practices.

Lead complex system and application integrations.

Collaborate with business and technology stakeholders to define data strategies and roadmaps.

Data Operations & Reliability

Own end‑to‑end operational health of the data platform.

Lead incident triage, troubleshooting, and resolution activities.

Define monitoring, alerting, and operational support frameworks.

Drive root cause analysis and permanent corrective actions.

Establish support processes, SLAs, runbooks, and escalation procedures.

Ensure reliability and availability of critical data assets.

Governance, Security & Quality

Define and implement enterprise data governance standards.

Drive data quality, observability, and compliance initiatives.

Ensure adherence to security and audit requirements.

Mentor Data Engineers and provide technical guidance.

Review solution designs and implementation approaches.

Lead architecture discussions and technical reviews.

Promote a culture of ownership, innovation, and operational excellence.

Required Skills:

Expert-level experience with:

Strong Python development and automation skills.

Expertise in Data Vault and modern data architecture.

Proven experience leading large-scale production support and operational activities.

Strong stakeholder management, leadership, and mentoring capabilities.