Lead Data Engineer - End-to-End Platform Architect (Hybrid)

Databees; Stockholms kommun; Hybrid; SEK 650,000 - 850,000; Full time

Benefits offered by this job

Competitive compensation

Strong focus on learning and development

Hybrid work model with flexibility

Collaborative culture with skilled colleagues

Job summary

A leading data solutions provider is seeking an experienced Lead Data Engineer to take ownership of data solutions and lead technical teams. This role requires extensive experience in data engineering, proficiency in Python and SQL, and a solid grasp of cloud-based platforms. The successful applicant will shape modern data architectures and guide teams in delivering high-quality data solutions. The company promotes a hybrid work model and emphasizes learning, development, and collaboration among skilled colleagues.

Qualifications

• 5–10 years of experience in Data Engineering.
• Strong hands-on experience with Python and advanced SQL.
• Experience designing and building modern data platforms at scale.
• Solid understanding of data modeling (e.g., Kimball, Data Vault).
• Deep experience in at least one major cloud platform (Azure, AWS, or GCP).
• Experience working in agile, cross-functional teams.
• Fluent written and spoken Swedish is mandatory.

Responsibilities

• Lead the design and implementation of end-to-end data architectures.
• Own and evolve data pipelines for batch and streaming use cases.
• Ensure data quality, reliability, performance, and scalability.
• Mentor and guide other data engineers in the team.
• Act as a technical advisor towards customers and stakeholders.

Skills

Python

Advanced SQL

Data modeling

Cloud-based data platforms

CI/CD

Agile teams

Fluent Swedish

Tools

Snowflake

Azure

AWS

GCP

Terraform

Databricks

Job description

A leading data solutions provider is seeking an experienced Lead Data Engineer to take ownership of data solutions and lead technical teams. This role requires extensive experience in data engineering, proficiency in Python and SQL, and a solid grasp of cloud-based platforms. The successful applicant will shape modern data architectures and guide teams in delivering high-quality data solutions. The company promotes a hybrid work model and emphasizes learning, development, and collaboration among skilled colleagues.