- Location
- Bucharest
- Workplace
- Remote, Hybrid
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Closing date
- Aug 21, 2026
- Source
- CareersPage
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.
Role Overview
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.
