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Data Platform Engineering Manager
Lead a team to build and operate a Databricks-based data platform that ingests, transforms, and delivers enterprise technology data for analytics, reporting, and AI use cases in a large financial institution.
Senior Data Platform Engineer
Build and maintain a governed, AI-ready data lakehouse (Databricks/Snowflake) that unifies SAP, POS, IoT, and unstructured data for analytics, ML, and GenAI use cases.
Lead Data Solution Engineer
Lead the design and delivery of an enterprise-scale HR data platform using Snowflake, ETL/ELT pipelines, and cloud data architecture to modernize HR systems and analytics.
Data Platform Engineering Manager
Lead a team to design and operate TD’s Databricks-based data platform, building pipelines that ingest and transform infrastructure, cyber, cloud, and AI data into reliable, governed enterprise assets for analytics and reporting.
Data Platform Engineer - 7+ Year
Lead the design and build of scalable data pipelines and platforms using Python, PySpark, Hadoop, Databricks, and cloud tools to power analytics, AI/ML, and business intelligence for enterprise clients.
Full Stack Data Science Engineer
Build and deploy AI/ML models and analytics pipelines in Azure to drive data-driven decisions for a retail bank, using Python, PySpark, and Power BI.
Full Stack Data Science Engineer
Build and deploy AI/ML models and analytics pipelines to drive data-driven decisions in banking, using Python, PySpark, Azure, and Power BI.
Data Platform Engineer
Designs and governs BigQuery databases for a real estate asset management company, ensuring efficient data storage, access control, and cost optimization while collaborating with data engineers and business teams to build scalable analytics pipelines.
Data Solutions Engineer
Build and deliver data-driven business solutions, including dashboards, automation tools, and integrations using SQL, Python, Power BI, and APIs to improve decision-making and processes.
Data Engineer
Designs and builds ETL/ELT pipelines and data models for a manufacturing client, using Snowflake, dbt, SQL, Python, and Power BI to enable analytics and BI reporting.
Data Engineer
Senior Data Engineer builds scalable ETL/ELT pipelines and cloud data solutions for manufacturing analytics and AI/ML at a global materials-science company.
Senior Technical Engineering Program Manager
Lead large-scale data and platform programs at Adobe, coordinating cross-functional teams to deliver ETL/ELT ecosystems and measurable business impact.
Data Engineer
Build and maintain IKEA’s supply-chain data pipelines and models in Databricks/Fabric, turning raw data into trusted analytics that drive better decisions across the global furniture business.
Senior analytics engineer
Build and migrate a new Snowflake data warehouse and dbt pipelines for a mental-health platform, designing star schemas and Medallion-architecture models to power analytics and reporting.
Data engineer
Build and optimize data pipelines for financial market data, leading integration projects and mentoring engineers in a regulated fintech environment.
Fullstack developer with aml and financial services -software engineer (azure)
Hands-on Fullstack Software Engineer building cloud-native AML/financial-risk services on Azure using C#/.NET, AKS, data pipelines (Data Factory, Databricks, Synapse), and Angular/React UI, with a strong emphasis on TDD, CI/CD, and incremental legacy modernisation.
Data Platform Engineer
Design and build a cloud-native data platform on AWS, creating scalable pipelines and APIs to process telemetry data into insights for analytics and AI-driven decisions.
Senior Data Science Analyst
Designs and optimizes enterprise-scale data pipelines, warehouses, and ETL/ELT processes with a focus on reliability and scalability.
Senior Data Engineer
Senior Data Engineer builds scalable pipelines, event streaming, and AI-powered tooling for Just Eat’s retail media platform, using BigQuery, dbt, Airflow, and GCP/AWS.
Information Management Data Architect
Design and lead a governed, self-service Databricks-based data science and AI platform, enabling teams to build, train, and deploy models and agents while ensuring governance, cost control, and interoperability with Snowflake.