As a Mid/Senior Data Engineer at Cloud++, work on designing robust ETL/ELT pipelines and data models, enabling data - driven decision - making with cloud technologies.
About the role
- Senior Data Engineer designing and delivering scalable data pipelines and high performance analytical solutions on Google Cloud. Enhance data quality via KPIs and migrate data platforms to cloud-native ecosystems.
Responsibilities
- Build scalable data pipelines: Design and deliver batch and real-time ETL/ELT pipelines across cloud environments to support analytics and reporting
- Develop SQL and BigQuery solutions: Write and optimize advanced SQL transformations and build performant, cost‑efficient BigQuery data models
- Develop Python workflows: Implement scalable data processing solutions using Python and PySpark, ensuring maintainable and high‑quality code
- Design data models and ensure quality: Build robust data models and apply validation practices to maintain accuracy and reliability
- Build cloud‑native data solutions: Use GCP services such as BigQuery, Dataflow, Cloud Composer, Pub/Sub, and GCS to build and operate modern data platforms
- Optimize performance and reliability: Troubleshoot complex pipeline issues and continuously improve compute, storage, and processing performance
- Collaborate using strong engineering practices: Work with engineering, analytics, and business teams while contributing to CI/CD, code reviews, and testing standards
Requirements
- University degree in computer science or a comparable qualification
- At least 5 years of experience as a Data Engineer, building scalable data pipelines and working with cloud-based data ecosystems
- Strong expertise in SQL and hands‑on experience building performant datasets in BigQuery (or similar cloud data warehouses)
- Proven experience with Python and PySpark for scalable data processing in distributed environments
- Solid understanding of data modeling, ELT/ETL patterns, and data quality best practices
- Experience with Google Cloud Platform, particularly BigQuery, Dataflow, Cloud Composer, GCS, or equivalent cloud data services
- Hands‑on experience building scalable data pipelines (batch and near real‑time) in a cloud‑native environment
- Proficiency with version control, CI/CD pipelines, and automated testing frameworks
- Ability to troubleshoot and optimize performance across compute, storage, and processing layers
- Nice to have: Experience with Infrastructure as Code (Terraform, Ansible, Chef)
- Knowledge of shell scripting
- Experience in financial services or regulated environments
Benefits
- Private Health Insurance – it’s custom-made for you
- Supported certifications, trainings and top e-learning platforms
- Individual coaching sessions
- Accredited Coaching School
- Epic parties or themed events – lovingly designed for our people and their families
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