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Builds and maintains data pipelines, transforms raw data into structured formats, and ensures data quality/reliability for BI and analytics. Core focus: ETL, SQL, data modeling, and BI tooling (e.g., Tableau).
Build, deploy, and maintain a modern data platform on GCP, developing scalable data pipelines and optimizing infrastructure in a one-year accelerator program before transitioning to a partner organization.
Databricks is seeking a Solutions Architect (EDW Migrations) to lead large-scale EDW migration initiatives across EMEA. You will partner with product and account teams to craft adoption strategies, create technical…
Designs and builds government data warehouses using Kimball methodology, ETL pipelines, and Power BI reports to support court and public-sector analytics.
Designs and implements data warehouses using Kimball methodology, builds ETL pipelines, and models data while bridging technical and non-technical teams.
Leads enterprise data platform development including ETL pipelines, data warehousing, and BI integrations for York University’s systems like SIS, PeopleSoft, and Dynamics 365.
Type: Full Time - Contract 6 months (Extendable) About the Role: We are seeking a talented Data Engineer with hands-on experience in building scalable data pipelines and modern cloud-based data platforms. The ideal…
Lead a data engineering team building and scaling security data pipelines for RBC Global Security, transforming raw security data into actionable intelligence via PySpark, Databricks, and cloud-native tools.
Senior Data Engineer at RBC Global Security builds and scales data pipelines to transform security data into actionable intelligence, leading a team of engineers while designing cloud-native architectures with PySpark, Databricks, and Terraform.
Designs and maintains scalable data pipelines and warehouses that feed analytics and ML teams, using cloud platforms and modern data tools.
Lead Data/Analytics Engineer responsible for designing event instrumentation pipelines, building data models, and driving product experiments in a veterinary telemedicine startup. Core tech stack: Snowflake, dbt, Amplitude, Segment, Prefect, and Sigma.
Senior Data Engineer builds and scales Snowflake-based data pipelines and warehouses for capital-markets clients, using AWS and ETL tools to deliver analytics-ready data products.
Builds and maintains data pipelines, automates workflows, and creates reports/visualizations for business intelligence using SQL, ETL, and open-source tools like Apache Airflow and Spark.
Builds and maintains scalable data pipelines and warehouses for Marti’s mobility platform, integrating ride-hailing, e-scooter fleets, and IoT systems to enable real-time analytics and decision-making.
Design and maintain scalable data pipelines for a ride-hailing platform, transforming raw data into analytics-ready metrics using modern cloud warehousing and ETL tools.
Designs and maintains scalable ETL pipelines using Informatica tools, cloud platforms, and SQL, while mentoring junior engineers to support BI and analytics initiatives.
Customer analytics / recommendation engines AWS Data & AI Engineering (Hands-on) Role Summary We are seeking a Senior Data & AI Presales Engineer to act as a Forward Deployed Engineer (FDE) —working directly…
Customer analytics / recommendation engines AWS Data & AI Engineering (Hands-on) Data Engineering We are seeking a Senior Data & AI Presales Engineer to act as a Forward Deployed Engineer (FDE)—working directly…
Reporting to Data and Analytics Lead, the successful candidate will be responsible for the following: Data Management & Transformation Designing and developing new data pipelines and managing existing data…
Core qualifications Bachelor's degree in Computer Science, IT, Engineering, or a related field with a demonstrated continuous learning ethos. Minimum 10 years of hands-on experience in the design, development, and…
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