Entry - Level Data Engineer at GM, focusing on building large scale data platforms in cloud environments. Collaborating with data engineers and scientists while migrating systems to cloud solutions.
About the role
- Chief Data Engineer leading Scania’s Commercial Data Engineering team for growing sustainable transport solutions. Focused on data products and pipelines for BI, analytics, and AI.
Responsibilities
- Lead and grow the Data Engineering team; define ways of working aligned to business needs and Data Mesh infrastructure
- Develop, publish, and maintain engineering standards and blueprints (coding/testing, dbt conventions, CI/CD, schema/versioning, observability)
- Deliver high-quality data products optimized for BI, AI and analytics
- Implement pipelines and controls for retention, PII handling, access frameworks, and auditability; automate policy enforcement
- Establish and operate DataOps tooling; enable self-service via platform templates
- Operate pipelines from ingestion to serving; implement runbooks, incident response, reliability patterns
- Own data product lifecycle; manage SLAs, cost-to-serve, capacity; align with governance and migration/decommission plans
- Monitor lineage, freshness, completeness, drift, health, cost, and usage; publish KPIs
- Run feedback loops with producers/consumers; drive continuous improvement
- Support domain teams building data products; coach on data quality rankings and SLOs
- Lead a Data Engineering Community of Practice
Requirements
- 6+ years in data engineering
- 3+ years leading data engineering teams
- Proven delivery of pipelines and data products on AWS, dbt, and Snowflake; knowledge of Azure
- Advanced proficiency with dbt and modern ELT/ETL
- Strong in CI/CD
- Experience establishing Data Mesh and DataOps
- Strong stakeholder management and coaching
- Experience with external data sources as products is a plus
- Bachelor’s/Master’s in engineering or other relevant field
- Proficiency in English
Benefits
- Flexible working hours
- Professional development opportunities
- Result bonus
- Company car leasing
- Access to health center or wellness allowance
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Engineer designing and building scalable ETL/ELT pipelines for enterprise - grade analytics solutions. Collaborating with product teams to deliver high - quality, secure, and discoverable data.
Data Engineer responsible for data integrations with AWS technology stack for Adobe's Digital Experience. Collaborating with multiple teams to conceptualize solutions and improve data ecosystem.
People Data Architect designing and managing people data analytics for Gen, delivering actionable insights for HR. Collaborating across teams to enhance data - driven decision - making.
Data Engineer role focused on shaping future connectivity for customers at Vodafone. Involves solving complex challenges in a diverse and inclusive environment.
VP, Senior Data Engineer responsible for designing and developing cloud data solutions for insider risk in Information Security at SMBC. Collaborating with multiple teams to enhance cybersecurity data platform.
Data Engineer responsible for architecting, developing, and maintaining Allegiant’s enterprise data infrastructure. Overseeing transition to cloud hosted data warehouse and developing next - generation data tools.
Senior Data Engineer developing Azure - based data solutions for clients in the Data & AI department. Collaborating with architects and consultants to enhance automated decision making.
Data Engineer II focusing on strategic ingestion product for Travelers. Building data solutions and collaborating across teams to support analytic transformation.
Data Engineer at Tatum focusing on scalable data solutions and blockchain technology. Collaborating with teams to ensure data integrity and manage data infrastructure in a hybrid setup.