Developing ML and computer vision solutions for cutting - edge autonomous vehicle dataset pipeline at Mobileye. Collaborating across teams for data curation and advanced perception algorithms.
About the role
- Data Engineer creating clean, reliable data pipelines for Plenti, a fintech lender. Collaborating with modern tools like AWS and Databricks to enhance data quality and analytics.
Responsibilities
- Design and implement reliable data (ELT/ETL) pipelines using Airbyte (for ingestion) and dbt for data modeling and transformation
- Configure and monitor software-defined data assets using Dagster. Troubleshoot pipeline failures and ensure SLAs for data freshness are met
- Develop and optimize Databricks (Delta Lake) tables. Write efficient Spark/SQL queries to handle large datasets
- Write clean, maintainable Python scripts for custom data extraction or utility tasks. Contribute to the team's codebase via Git/GitHub
- Monitor containerized workloads on AWS EKS (Kubernetes). Assist in debugging pod failures and resource bottlenecks
- Implement tests (dbt tests, Great Expectations) to catch data anomalies early and ensure trust in our data products
- Participate in on-call rotation for critical incidents and drive post-mortems to prevent recurrence
Requirements
- 5+ years’ experience in a Data Engineering role
- Strong SQL skills with experience in complex queries, performance tuning, and data modelling (dimensional models, wide analytical tables, and curated “gold” datasets)
- Strong Python skills for data manipulation, automation, and scripting
- Hands-on experience with dbt (models, testing, and documentation)
- Exposure to Databricks and reverse ETL tools
- Experience with data orchestration tools such as Dagster, Airflow, or Prefect
- Working knowledge of cloud platforms, ideally AWS (S3, EC2, etc.), with exposure to Azure or GCP also valued
- Familiarity with Git and modern engineering practices (CI/CD, code reviews, Infrastructure as Code basics)
- Experience using AI-assisted development tools (e.g. GitHub Copilot, Cursor)
Benefits
- flexible working
- volunteer and study leave to develop your skills
- monthly social events
- office snacks
- company Townhalls
- D&I initiatives and events
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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