Yard Corporate is seeking a Senior Data Engineer to join a premier global SaaS company that powers intelligent customer engagement and data-driven marketing automation. You will be responsible for designing robust, high-throughput architectures and scaling modern data stacks while collaborating with AI/ML teams to bring production-grade intelligence into live environments.
Key responsibilities
- Design, develop, and operate resilient, high-throughput data processing pipelines across distributed ecosystems.
- Lead schema evolution, DDL/DML design, and partitioning strategies to optimize cost, latency, and throughput.
- Manage cloud infrastructure via Terraform and maintain automated test suites and CI/CD pipelines.
- Partner with Data Science specialists to architect feature stores and production-grade MLOps pipelines.
- Monitor and scale containerized data services and scheduled DAGs in orchestrated environments.
Requirements
- 5+ years of professional experience in software engineering focused on designing and maintaining production data systems.
- Deep expertise in data modeling, query optimization, and schema design for relational databases and cloud analytical warehouses.
- Hands-on experience provisioning and managing infrastructure using Terraform in a major cloud environment.
- Practical mindset toward automated testing, CI/CD pipelines, and maintainable, modular Python code.
- Proven experience using modern data tools such as Snowflake, Apache Spark, dbt, or Apache Iceberg.
What we offer
- 10% annual bonus tied to personal and company performance.
- 100% remote work environment supported by a home office stipend.
- Comprehensive private medical cover including dental and vision subsidies.
- Access to a pension scheme matching up to 1.5% and a paid 4-week sabbatical after 5 years.
- Dedicated growth budget for LinkedIn Learning and conference allowances.