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Designs and maintains GCP-based data pipelines, warehouses, and CI/CD for analytics and ML workloads using BigQuery, Dataflow, and Dataproc.
Leads a cloud-based data science team to design, build, and deploy scalable ML solutions on AWS/Azure/GCP, overseeing pipelines, cloud architecture, and stakeholder alignment.
Designs, builds, and automates data pipelines on GCP for banking clients, focusing on scalable, high-quality data processing with Spark, Kafka, and Airflow.
Build and maintain dbt models, ETL/ELT pipelines, and Snowflake/BigQuery data infrastructure for mobile-app analytics, attribution, and monetization.
Build and maintain a GCP-based data lake and Spark pipelines to process ride-hailing, delivery, and financial data, enabling AI/ML use cases and cross-team analytics.
Senior BI Analyst builds data pipelines, models, and dashboards to turn financial-services data into actionable insights using SQL, ETL, and tools like Tableau or Power BI.
Senior Data Engineer builds and maintains data pipelines and cloud warehouses (Snowflake/BigQuery) to power marketing analytics and media activation for a Cape Town agency.
Lead a GCP-based data platform and AI team, building scalable ETL/ELT pipelines, optimizing BigQuery/Dataflow costs, and mentoring engineers to drive data-driven marketing and analytics products.
Designs and builds large-scale data pipelines in Google Cloud using Python, SQL, BigQuery, and ETL tools to turn raw data into actionable insights for business decisions.
Design and maintain scalable data pipelines on GCP and Snowflake, ingesting marketing/media data and feeding analytics tools like Amplitude to power AI-driven insights for global brands.
Architect and maintain a hybrid cloud data platform (AWS + GCP/BigQuery) for a European fintech, building data lakes, pipelines, IAM, and observability to power analytics and AI transformation.
Optimize cloud infrastructure costs and performance by rightsizing compute, tuning JVM workloads, and automating changes across thousands of services on GKE.
Build and maintain cloud-based data pipelines and warehouses using Python, SQL, and tools like GCP, Azure, Snowflake, and dbt to support BI and AI systems.
Lead the design and deployment of enterprise AI platforms on Google Cloud using Vertex AI and Gemini, optimizing for scalability, security, and cost while implementing RAG, agentic solutions, and MLOps pipelines.
Technical Data Architect Senior Data Architecture role at a fast-growing international fintech scale-up Hands-on AWS platform work across real-time pipelines, Redshift, Glue and modern data stacks Belfast, hybrid (2…
Leads enterprise-wide AI data governance, setting policies and standards to ensure trusted, secure, and compliant data for AI/ML use while embedding governance into data pipelines and analytics platforms.
Designs and maintains enterprise data architecture, builds scalable data platforms (lakes, warehouses, streaming), and sets standards for modeling, governance, and cloud integration to support analytics and AI.
Build and deploy AI models to improve media readership, ads, and content recommendations using Python, LLMs, and GCP.
Build autonomous AI agents and data pipelines using LangChain/LangGraph or Google Vertex AI Agent Builder to automate analytics and decision-making at scale.
Build and maintain R&D analytics models and reporting in Pigment to help engineering teams ship faster and make data-driven decisions using SQL, dbt, and BI tools.
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