Senior Data Engineer -BigQuery

You will join the OneMIS stream, responsible for management, regulatory & risk reporting, and advanced analytics. Our mission includes enhancing data quality via KPIs and migrating data platforms to modern, cloud-native ecosystems. We operate in an agile environment, committed to responsible data practices.

We are looking for a Senior BigQuery Engineer to design and deliver high-performance data solutions supporting complex reporting functions, as well as migrating on-premises platforms to modern cloud-based ecosystems. You will work with large-scale financial datasets, ensuring secure, compliant, and low-latency data solutions that enable analytics and decision-making across the organization.

Key Responsibilities

• Design, develop, and maintain scalable data warehouse solutions in BigQuery, including dataset architecture, schema design, and data modeling (star/snowflake)
• Design and implement a cloud-native data warehouse to replace on-premises infrastructure
• Optimize performance through partitioning, clustering, query tuning, and workload management
• Build data processing pipelines and workflows feeding BigQuery from multiple sources
• Implement data quality checks, validation frameworks, and reconciliation processes
• Work closely with product owners, analysts, to ensure solution align with the business requirements specification

Requirements

• 5+ years of data engineering experience
• Strong SQL knowledge, preferably on Google Cloud Platform (GCP)
• Experience orchestrating workflows with Cloud Composer (Apache Airflow), including DAG development, scheduling, monitoring, and dependency management
• Hands-on experience building data processing pipelines using Dataflow (batch and streaming)
• Good understanding of data warehousing concepts, data flows, data feeds
• Experience using Bitbucket for Git-based source control and collaboration
• Ability to work collaboratively in a dynamic environment

Bonus Skills

• Hands-on experience with Python/PySpark for scalable distributed data processing.
• Experience with Infrastructure‑as‑Code (Terraform, Ansible, Chef).
• Knowledge of shell scripting.
• Experience in financial services or regulated environments