
51 - 200 employees
đ Automotive
đ Transport
đ§ Hardware
Automotive âą Transport âą Hardware
UJET is a European engineering and design company focused on pioneering smart and innovative e-mobility platforms. With a vision to become the leading partner for OEMs in urban mobility, UJET emphasizes advanced industrial design, engineering, and the use of advanced materials. The company has developed products like the UJET Founders Series and UJET One electric scooters, characterized by their lightweight design, high-tech connectivity, and unique electronic architecture. UJET also extends its innovation to complementary products such as carbon fiber helmets, nano-augmented tires, and shock absorbent gloves, redefining industry standards in e-mobility accessories. Located in Luxembourg, the company is committed to advancing e-mobility through cutting-edge materials and smart engineering solutions, targeting urban professionals and luxury consumers.
đ„ 8 minutes ago
đșđž United States â Remote
đ” $140k - $160k / year
â° Full Time
đĄ Mid-level
đ Senior
đ° Data Engineer
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51 - 200 employees
đ Automotive
đ Transport
đ§ Hardware
Automotive âą Transport âą Hardware
UJET is a European engineering and design company focused on pioneering smart and innovative e-mobility platforms. With a vision to become the leading partner for OEMs in urban mobility, UJET emphasizes advanced industrial design, engineering, and the use of advanced materials. The company has developed products like the UJET Founders Series and UJET One electric scooters, characterized by their lightweight design, high-tech connectivity, and unique electronic architecture. UJET also extends its innovation to complementary products such as carbon fiber helmets, nano-augmented tires, and shock absorbent gloves, redefining industry standards in e-mobility accessories. Located in Luxembourg, the company is committed to advancing e-mobility through cutting-edge materials and smart engineering solutions, targeting urban professionals and luxury consumers.
âą Own UJET's data systems end to end, including CDC replication from production MySQL, BigQuery pipelines and jobs, Terraform-managed infrastructure, and Looker models âą Build and evolve data platform foundations for safe dbt development, including project structure, environments, permissions, patterns, and documentation âą Establish and maintain dbt standards and guardrails, including testing, source freshness, documentation, and code review practices âą Improve developer experience through CI/CD, automated checks, and repeatable deployment patterns âą Manage data infrastructure as code with Terraform, including pipelines, IAM, and environments âą Improve and troubleshoot CDC replication from MySQL to BigQuery with Datastream âą Build tooling for backfills, drift detection, and reconciliation between source databases and the warehouse âą Contribute to data ingestion and platform evolution decisions involving latency, throughput, and alternative CDC approaches âą Partner with Analytics and Finance to define and deliver trusted metrics and Looker dashboards âą Build and maintain analytics-ready datasets for self-serve reporting and experimentation âą Support customer-facing, multi-tenant reporting with focus on correctness, tenant isolation, and query performance âą Develop and optimize BigQuery data models and implement ELT best practices in dbt âą Design, build, and maintain scalable data pipelines using Python, dbt, and containerized jobs on GKE âą Ensure data quality, reliability, and observability for critical datasets and reporting âą Optimize performance and cost across BigQuery and data pipelines âą Integrate data workflows with backend services and APIs âą Work with Product and Engineering to translate business needs into data solutions
âą 5+ years of software engineering experience, with deep data platform experience âą Strong programming skills in Python âą Strong SQL skills and experience with analytical data modeling âą Hands-on experience with BigQuery or a similar cloud data warehouse âą Production experience with dbt (dbt Labs), including building models yourself âą Experience building or improving infrastructure around data workflows, including reliability, observability, CI/CD, permissions, environments, and deployment patterns âą Experience with infrastructure as code, preferably Terraform âą Experience with a major cloud platform, with GCP preferred âą Strong software engineering fundamentals, including testing, version control, and code reviews âą Must be legally authorized to work in the United States without current or future employer-sponsored visa sponsorship âą Preferred: Experience with GCP services including Datastream, Cloud Storage, Cloud Run, and Pub/Sub âą Preferred: Change data capture experience, including GCP Datastream or MySQL binlog/GTID replication âą Preferred: Experience with Kubernetes-based orchestration, such as Argo Workflows âą Preferred: Experience with Looker, LookML, semantic modeling, and dashboards âą Preferred: Familiarity with Ruby on Rails or Go âą Preferred: Experience collaborating with Product to gather requirements and translate business needs into data solutions
âą Medical insurance âą Dental insurance âą Vision insurance âą 401(k) plan âą Wellness benefits âą Equal employment opportunities âą Reasonable accommodation in the application process, including an alternative to AI-assisted screening
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