Job Description

Job Location: Hibrid in Bucharest, 2 days WFO

Domain: Private Bank

Recruitment process:

• HR discussion
• 2 X technical discussion

About the Team

You will join the Data & Analytics stream, responsible for management reporting, 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 organisation.

Key Responsibilities

• Design, develop, and maintain scalable data warehouse solutions in BigQuery, including dataset architecture, schema design, and data modelling (star/snowflake).
• Design and implement a cloud-native data warehouse to replace on-premises infrastructure.
• Optimise 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 and analysts to ensure solutions align with business requirements.

Requirements

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

Nice to Have

• 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.

What We Offer

• 24 days holiday + loyalty days + bank holidays.
• Flexible working hours and hybrid work model.
• Private healthcare and life insurance.
• A truly diverse, global working culture.
• Continuous learning and professional development opportunities.