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Build Emma’s backend services and mobile/web apps using TypeScript, React Native, and Next.js, integrating financial data and scaling cloud infrastructure on GCP.
Are you a highly skilled Senior Data Engineer ready to lead and innovate in a dynamic, cloud-driven environment? We’re looking for a pivotal team member to design, develop, and maintain cutting‑edge data solutions,…
Build and optimize cloud data pipelines and lake house architectures for a global iGaming provider, migrating on-prem systems to AWS/Azure and implementing Kafka-driven streaming pipelines.
Test and validate data pipelines and warehouses for a large NZ grocery retailer, ensuring accuracy and reliability of mission-critical retail data.
Build and maintain data pipelines and warehouses for an energy company, enabling analytics that drive decarbonisation and operational decisions.
Senior Data Engineer builds and scales cloud data pipelines, warehouses, and models for a global travel-tech platform using Snowflake, BigQuery, dbt, and Azure/Google Cloud.
Builds and maintains scalable finance data pipelines on GCP (BigQuery, Dataflow, Pub/Sub) to power reporting, FP&A, and analytics for McDonald's India, ensuring data reliability and governance.
Lead the design and delivery of Google Cloud AI and data solutions, building BigQuery and Looker platforms for enterprise clients while mentoring teams and shaping go-to-market strategies.
Build scalable ELT pipelines and self-serve dashboards to turn raw data into trusted, decision-ready insights for Product, Growth, Revenue and Operations teams.
Designs and maintains a cloud-native data lakehouse on BigQuery using Python, automates infrastructure with Terraform, and builds CI/CD pipelines for enterprise-scale data processing.
Builds reusable data models and metrics to turn raw data into trusted insights for product, growth, revenue, and operations teams.
Lead a team building and running Cover Genius’s cloud data platform (BigQuery, Airflow, dbt, Dataflow) to ingest, process, and serve insurance-protection data for global e-commerce partners.
Designs and leads the build of scalable, secure GCP data ingestion pipelines using BigQuery, Dataflow, Pub/Sub and Cloud Storage for large batch and streaming workloads.
Lead a team to build and maintain scalable data pipelines using SQL and Python, ensuring reliability and collaboration across analytics, data science, and product teams.
Designs and automates tests for cloud-based data pipelines and warehouses, validating ETL/ELT flows and data integrity with SQL and CI/CD practices.
Build and optimize GCP and BigQuery data pipelines for analytics, ensuring cost efficiency and adherence to engineering principles while collaborating with product owners and SMEs.
Build and optimize GCP-based data pipelines for telecom analytics, focusing on BigQuery, Dataflow, and Dataform while enforcing PII governance and cost controls.
Strong GCP Data Services Expertise Hands‑on experience with BigQuery, Dataflow, Pub/Sub, Cloud Storage, Ability to design scalable data solutions using native GCP tools. Experience in Data Pipeline Development (Batch…
Company Description At NCS Australia, we believe in doing technology services better. Our commitment to quality, focus on people, and willingness to challenge traditional thinking set us apart. Our team brings this…
XPT Software seeks a data engineer with strong GCP data services expertise in BigQuery, Dataflow and Pub/Sub to design scalable data solutions. You will work on batch and streaming pipelines, leveraging Python and SQL…
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