dbt Cloud Data Engineer
Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Oct 22, 2026. Siemens scores A on the Alion truth index.
dbt Cloud Data Engineer
Company Overview
Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management software.
Position Overview
You will develop, operate, and continuously improve production transformations in dbt Cloud and Snowflake for Global Customer Success. Advanced, hands-on dbt capability is a must. This role is responsible for the daily operation of dbt jobs: building models, processing complex and high-volume datasets efficiently, monitoring execution, resolving failures, and ensuring reliable outputs for data products, analytics, and AI use cases.
Working closely with the dbt Cloud Solution Architect, Data Engineer, and Data Scientists on our team, you will design and refine SQL models to deliver on business requirements. You will fine-tune the strategies for incremental processing and materialization, move changes through bronze/silver/gold layers into downstream data products, and enhance the data CI/CD processes.
Key Responsibilities
- Develop, test, document, deploy, and operate dbt models and jobs each day in dbt Cloud and Snowflake, transforming Global Customer Success source data into reliable, reusable data products.
- Process complex, high-volume datasets efficiently by applying appropriate model boundaries, incremental logic, materializations, scheduling, warehouse use, and reuse of transformed data.
- Monitor dbt job execution, runtime, failures, regressions, and Snowflake compute consumption; investigate issues and implement optimizations that reduce processing workload and cost.
- Work with and help develop the CI/CD, code-review, testing, release, and documentation standards for our growing data team.
- Work with data scientists, dashboard developers, and AI application owners to verify that production outputs meet downstream requirements, while maintaining models, tests, lineage, runbooks, and technical documentation that build long-term internal capacity.
- Define use of cutting-edge dbt features such as semantic view deployment, dbt Fusion, and dbt Wizard.
Qualifications
- Advanced, hands-on expertise with dbt Cloud, including daily development and operation of production transformations-this is a non-negotiable requirement for the role.
- Advanced SQL skills and experience using Snowflake or a comparable cloud data platform to transform complex, high-volume datasets efficiently.
- Strong working knowledge of dbt models, sources, tests, macros, packages, documentation, lineage, incremental processing, snapshots, materializations, and job orchestration.
- Experience monitoring job execution and diagnosing failures, regressions, runtime, warehouse behavior, and compute consumption, with evidence of implementing workload and cost optimizations.
- Experience working across separated development, quality, and production environments with Git-based CI/CD practices, including branching, pull requests, automated testing, controlled promotion, release validation, and rollback support.
- Ability to operate and support production dbt workloads, document resolutions and operating procedures, and communicate risks, tradeoffs, and downstream impacts to technical and business partners.
Preferred Qualifications
- Proficiency with Python or another scripting language for data validation, automation, or pipeline support.
- dbt certification or a portfolio demonstrating substantial dbt delivery experience.
- Experience with Snowflake performance, workload monitoring, and cost optimization.
- Experience building data products for telemetry, customer health, SaaS, sales, services, or Customer Success use cases.
- Familiarity with APIs, file-based ingestion, orchestration tools, data quality frameworks, and metadata/catalog platforms.
- Experience working in a globally distributed Agile or product-oriented data team.
Why Us
At Siemens Software, flexibility is how we work-hybrid by default, built on trust and autonomy. Together, 30,000 people across more than 200 countries build technology that shapes the real world. You'll grow through real projects, strong technical peers, and global mobility, backed by the scale and benefits of an industrial software leader. We're committed to equality and inclusion, and we hire based on merit, skills, and impact. Bring your curiosity and creativity and help us shape tomorrow!
#LI-Hybrid #LI-PLM #SaaS
Siemens Software. Transform the Everyday