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Lead Data Engineer
Lead a team to design and build scalable AWS-based data pipelines and lakehouse architecture, balancing hands-on engineering with technical leadership and mentorship.
Data Engineer
Builds and optimizes Azure-based data pipelines to ingest, transform, and deliver financial data (loans, property, collections) into relational models for analytics, risk, and portfolio strategy in Capital Markets.
Senior Data Engineer (Databricks + Pyspark + Adf + Unity Catalog)
Designs and maintains large-scale data pipelines using Databricks, PySpark, and Azure Data Factory to modernize enterprise data infrastructure, ensuring governance, security, and performance for analytics.
Data Engineer - L3 Support
L3 support engineer troubleshooting and optimizing Databricks, Airflow, and DBT workflows to maintain enterprise data platform reliability, performance, and stability.
Data Engineer (Platform / Product Data)
Builds and scales data pipelines, warehouses, and infrastructure to power AI, EdTech, and AdTech products with reliable, clean datasets.
Associate, Data Engineering
Builds and maintains data pipelines, SQL queries, and transformations to integrate media/advertising data for analytics, ensuring quality and collaboration with stakeholders in a hybrid office environment.
Sr. Data Architect, AI & Analytics Platforms
Designs and builds cloud-native AI and analytics platforms (Databricks, Snowflake) that turn retail POS data and predictive models into automated decision engines for CPG clients and internal teams.
Infrastructure Engineer
Builds and maintains the cloud infrastructure and application systems for Gyde’s AI-native insurance brokerage platform, bridging infrastructure and application engineering to solve complex, regulated multi-tenant challenges while ensuring security, cost control, and auditability.
Senior Data Engineer - Cloud Data Platform Architect
Designs and maintains cloud-native data platforms using SQL/data warehousing, Spark/PySpark, Databricks, Kafka, and Airflow for enterprise-scale data pipelines.
Senior Data Engineer
Designs, builds, and operates cloud-native data platforms using Python, Spark, Kafka, and modern cloud tools (GCP/AWS/Azure) while applying software engineering best practices to solve business problems through scalable data pipelines and analytics.
Data Engineer
Builds and maintains scalable data pipelines and financial reporting systems using Microsoft Azure, Fabric, and Power BI to improve data accuracy and operational decision-making for finance and operations teams.
Data Engineer
Designs and optimizes cloud-based data architectures in BigQuery, building scalable pipelines and semantic layers to enable business analytics and decision-making.
Senior Data Engineer — Databricks, Lakehouse & Governance
Designs and maintains scalable data pipelines and lakehouse architectures using Databricks and PySpark for analytics and AI/ML workloads.
Senior Data Engineer
Build and maintain scalable data pipelines and Lakehouse solutions using Databricks and PySpark, ensuring high-performance analytics and governance for enterprise reporting and AI/ML workloads.
DataOps Engineer - Hybrid, Modern Data Platform Impact
A DataOps Engineer responsible for managing ETL/ELT pipelines on Azure SQL Data Warehouse and Microsoft Fabric, ensuring data quality and supporting Power BI reporting and automation initiatives.
Analytics Engineer - Personalisation
Builds and maintains Snowflake/dbt models to clean, transform, and structure data for product, data science, and engineering teams at Canva, ensuring reliable data for analytics, experimentation, and self-serve reporting.
Analytics Engineer
Build and maintain Blinq’s analytics layer using SQL, dbt, and cloud warehouses to turn raw data into trusted metrics and self-serve dashboards for product, growth, and revenue teams.