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Data Engineer: Build Scalable Data Pipelines & Insights
Designs and maintains scalable data pipelines and warehouses to feed analytics and reporting for a direct-selling business.
Team Lead, Data Science & AI Engineering, Vice President
Leads a team of data scientists and AI engineers to build, deploy, and maintain AI/ML models for a global private bank, focusing on MLOps, cloud engineering, and model governance on Google Cloud Platform.
Team Lead, Data Science & AI Engineering, Vice President
Lead a small team of data scientists and AI engineers to build, deploy, and maintain AI/ML applications for a fintech bank, focusing on MLOps, cloud engineering, and productionising models on Google Cloud.
Analytics Engineering Lead - Data Platform & AI
Lead the build of data pipelines and AI integrations for a fintech platform, using dbt, BigQuery, Airflow, and LLM APIs to ensure reliable, secure analytics and agent workflows.
Senior Assoc/Assoc, Cloud Engineer, Data Platform, Group Technology
Build and maintain a hybrid cloud data platform on GCP to process petabytes of data, support ML workloads, and enable data scientists with scalable analytics and AI/ML pipelines.
Lead Data Engineer
Lead Data Engineer designs and builds modern data platforms (Databricks, Azure Synapse) and pipelines, mentors teams, and shapes Forte’s Data & AI strategy while collaborating with clients and stakeholders.
Data Engineer
Build and optimize SQL-based data pipelines, ETL workflows, and reporting models using PostgreSQL, BigQuery, and Tableau to deliver actionable business insights for an agribusiness leader.
DevOps Engineer – Azure & GCP
Design and maintain Azure and GCP cloud infrastructure using Terraform, CI/CD pipelines, and Python apps; integrate Azure Blob Storage, GCS, and BigQuery with secure networking and IAM.
Data Engineer: Own BigQuery Pipelines & Data Platform
Own and scale BigQuery pipelines and data platform on Google Cloud, using SQL, Python, and AI tools while advising on data architecture and CRM integrations like Salesforce.
Data Engineer
Build and own BigQuery-based data pipelines and derived products (e.g., user segmentation) that feed marketing and CRM platforms like Salesforce for a global customer.
GCP Data Engineer/Data Architect
Designs and builds scalable GCP data pipelines and warehouses, focusing on BigQuery, Dataflow, and Data Fusion to enable data-driven decisions and insights.
Data Engineer – MVA Inference & Audience Development (Remote, Global)
Builds ETL/ELT pipelines and privacy-safe inference layers for marketing audience segmentation using aggregated historical data in cloud data warehouses.
Solutions Architect
Design and implement semantic layer architectures for customers using Cube, integrating data warehouses like Snowflake and BigQuery to enable consistent metrics and analytics across BI tools and applications.
Data Integration & Analytics Engineer
Owns data pipelines between operational systems, BigQuery, and business tools (e.g., HubSpot) to ensure real-time, high-quality data for finance, operations, and leadership; builds integrations, troubleshoots discrepancies, and bridges technical details for non-technical stakeholders.
Senior Software Developer (Python)
Build cloud-native Python services and data platforms that power AI-driven analytics, forecasting, and optimisation for Sky’s networks, using FastAPI/Flask/Django, GCP, Docker, and Kubernetes.
GCP Data & AI/MLOps Engineer
Build and maintain GCP data pipelines and AI/ML solutions using Dataflow, Apache Beam, BigQuery, Kubeflow, and Python for enterprise clients.
Solution Designer / Lead Data Engineer
Design and lead a modern, cloud-agnostic enterprise data ingestion framework, building scalable pipelines across GCP, AWS, and Azure while embedding governance, quality, and security controls.
GCP Data Engineer: BigQuery, Dataflow & Streaming Pipelines
Designs and scales high-volume data pipelines on GCP using BigQuery, Dataflow, and Pub/Sub to transform raw data into structured insights for analytics and decision-making.
Google Data Engineer - GCP
Design and build scalable GCP data pipelines (BigQuery, Dataflow, Pub/Sub) to process petabyte-scale data, enabling analytics and ML across enterprise systems.
Senior Data Engineer
Build and maintain scalable cloud data pipelines and warehouses (Snowflake/BigQuery) to power AI-driven analytics and BI for top consumer brands.