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Sydney CBD | Full-Time | On-Site (5 Days) WHO WE AREFounded in 2013 as Scape Australia, leaders in student housing, we've since grown into a vertically integrated living platform known as The Living Company;…
Build and maintain dbt data models in Snowflake to power analytics and AI across government ERP products, owning pipelines from ingestion to CI/CD deployment.
rindus invites you to join a cutting-edge data engineering initiative with an AI-first approach, building scalable data pipelines for a major fashion retailer partner. Descubra exactamente qué habilidades, experiencia…
Lead Data/Analytics Engineer owning event instrumentation pipelines (Segment, Amplitude), building data models and metrics layers (Snowflake, dbt, Prefect), and partnering with product managers on experiment design and analysis at a veterinary telemedicine company.
Builds and runs systems for account identity, hierarchy, and sourcing pipelines using LLMs, Snowflake, dbt, and Airflow to support GTM teams at Intercom.
Data Engineer Location: Remote (UK-based) There may be occasional travel to Manchester or London for events and/or meetings About eComplete eComplete is a specialist growth partner focused on beauty, wellness, and…
The Senior Data Engineer will design, build, and maintain scalable data pipelines and transformations using a code-first approach within a modern data stack. The role focuses on leveraging tools like Snowflake, dbt, and Dagster while integrating AI-assisted development workflows to support the company's data strategy.
Medison offers hope to patients suffering from rare and severe diseases by forming partnerships with emerging biotech companies to accelerate access to highly innovative therapies in international markets. As the…
Build and maintain data models using dbt to enable analytics and decision-making across the company, collaborating with business analysts, data scientists, and engineers on a hybrid basis in Tukwila, WA.
Build and optimize scalable data pipelines in AWS using Python, SQL, Spark, and Airflow to power analytics, ecommerce, and logistics systems.
Designs and maintains production-grade ELT pipelines in Snowflake, leading data architecture, migration to dbt Cloud, and ensuring data reliability for analytics and reporting in a fast-growing SaaS company.
Designs, builds, and scales enterprise-grade data pipelines and platforms for a bank, focusing on batch/streaming architectures, AI knowledge bases, and cloud-native infrastructure to support risk management, fraud detection, and intelligent automation.
Build and maintain data pipelines for a bank’s data warehouse and AI knowledge base, using Python, Spark, and cloud tools to support risk, fraud, and automation use cases.
Does this position interest you? You should apply – even if you don’t match every single requirement! We're known as an auto glass company. That's the focus of what we do. But beyond the glass, we're so…
Builds and maintains scalable data pipelines for migrating/transforming financial data across systems, standardizing schemas, and enabling enterprise visibility into billions of dollars in payments. Core tech: Python/Scala/Java/C#, Databricks/Spark, cloud warehouses, ETL/ELT, and data quality tools.
The Senior Data Engineer will design, build, and maintain scalable data pipelines and platforms to support enterprise reporting and AI-driven initiatives. The role utilizes technologies such as Azure, Databricks, Snowflake, and dbt to ensure high-quality data availability for the foundation's mission-driven work.
Leads client-facing AI and data projects for a consultancy, coordinating cross-functional teams to deliver solutions on time and within budget using modern data/AI tech stacks.
Senior Data Analyst for GTM Analytics at Luxury Presence, focusing on building and maintaining data models with dbt, analyzing pipeline, funnel, and campaign performance for Sales, Marketing, and Client Success teams, and contributing to Lighthouse, an internal BI-as-code platform with AI-driven workflows.
Principal Data Engineer designing and building scalable Databricks data pipelines and Lakehouse architectures for a global tech consultancy, using Python, Spark, SQL, Delta Lake, and orchestration tools.
Designs and maintains data models and pipelines to turn raw data into clean, reliable datasets for business insights, using SQL, dbt, and cloud warehouses like Snowflake.
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