Senior BigQuery Engineer designing high-performance data solutions for Deutsche Bank. Collaborating in agile environment for data quality and cloud migration.
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
University degree in computer science or a comparable qualification
At least 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
Benefits
New beginnings can be a challenge. We promise a smooth integration and a supportive mentor
Pick your working style: choose from Remote, Hybrid or Office work opportunities
Early bird or night owl? Our projects have different working hours to suit your needs
Nobody is born an expert. Sharpen your tech skills with our sponsored certifications, trainings and top e-learning platforms
We want you to stay healthy! Enjoy our Private Health Insurance – it’s custom-made for you
A clear mind is a healthy mind. Attend individual coaching sessions or go one step further by joining our accredited Coaching School
Make the most of our epic parties or themed events – they’re lovingly designed for our people and their families
Director leading strategy, governance, and delivery of enterprise data platform at Phillips 66. Partnering with AI, Data Science, and business teams to enhance analytics and business systems.
Product Owner driving ERP data migration initiatives for BioNTech’s global landscape. Leading effective data management and ensuring compliance with regulatory standards in a fast - paced environment.
Data Engineer II leading development and delivery of data pipelines for Syneos Health. Collaborating with teams to optimize data processing and integrate solutions into production environments.
Lead Data Engineer overseeing data operations and analytics engineering teams for OneOncology. Focused on operational excellence in data platform and model reliability for cancer care improvement.
Senior AWS Software Data Engineer at Boeing focusing on AWS Data services to support digital analytics capabilities. Collaborating with cross - functional teams to design, develop, and maintain software data solutions.
Senior Data Engineer designing and improving software for business capabilities at Barclays. Collaborating with teams to build a data and intelligence platform for Equity Derivatives.
Senior AI & Data Engineer developing and implementing AI solutions in collaboration with clients and teams. Working on projects involving generative AI, predictive analytics, and data mastery.
Consultant driving IA business growth in Deloitte's Artificial Intelligence & Data team. Delivering innovative solutions using data analytics and automation technologies.
Data Engineer responsible for managing data architecture and pipelines at Snappi, a neobank. Collaborating with teams to enable data processing and analysis in innovative banking solutions.
Data Engineer at Destinus developing the data platform to support production and analytics needs. Involves migrating Excel sources to Lakehouse and integrating ERP systems in a hybrid role.