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Data Engineer on Lyft's Mapping team in Toronto: build and scale data pipelines and services that power route simulation, travel-time estimation, experimentation, and ML models. Core stack includes AWS, Kubernetes, Airflow, Spark, SQL, and geospatial data tooling.
Yaqeen Institute is hiring a Data Engineer in Malaysia to design, build, and operate its data platform, owning data modeling, batch/streaming pipelines, and the cloud data warehouse that powers analytics, research, and product decisions. The stack centers on SQL, Python, dbt, orchestrators like Airflow/Dagster/Prefect, a modern warehouse (Snowflake/BigQuery/Databricks/Redshift), and cloud infra to
Owns BigQuery platform administration, Dataplex-based PII/security governance, and Fivetran-to-BigQuery ELT pipeline integrity on GCP at SolarWinds in Cork (hybrid 3+2). Day to day: IAM and access administration, cost and performance tuning, incident response, and advising teams on BigQuery best practices.
A working-manager (player-coach) role building and leading a small Data Platform Engineering team that administers and configures SolarWinds' enterprise data stack — Fivetran, BigQuery, Dataplex, dbt, and Tableau. The person sets architecture standards, owns platform administration, and coaches direct reports while staying hands-on.
Principal-level data science role at an insulin-delivery (diabetes medtech) company, applying statistical modeling, machine learning, and forecasting to customer and commercial data to drive targeting, territory design, and growth planning. Core stack: Python/R, SQL, dbt, cloud data warehouses, and visualization tools. On-site 4 days/week in Northridge, CA.
A permanent Data Engineer role in Perth, recruited by Peoplebank for one of its clients. The engineer joins a Systems team designing, building, and optimising scalable cloud data solutions for a modern enterprise data platform, with a core stack of Snowflake, dbt, and Python.
Hands-on principal data engineer leading the technical architecture of Vuori's Omni Analytics pod and Customer Data Platform — identity resolution, customer 360, event pipelines, and audience activation across ecommerce, retail, and marketing data. Core stack: Snowflake, dbt/SQLMesh, Airflow/Dagster, Hightouch, Shopify. Fully remote from Colombia.
Senior engineer who designs and builds a consolidated data platform (Snowflake, relational databases, pipelines on AWS/Azure) that powers Beazley Security's security products and AI initiatives. Day to day: build reliable data pipelines, set data standards, and create clean data foundations for AI agents and tools.
Senior Analytics Engineer on NRG Energy's internal Analytics Engineering & Data Warehousing team, building the enterprise Snowflake data warehouse, data models, and transformation pipelines that deliver reliable data and KPIs/commissions used across the company, working closely with finance teams. Core stack: SQL, dbt/Snowflake, Git and CI/CD.
Snoonu, Qatar's homegrown delivery and shopping super app, is hiring a Senior Data Engineer in Doha to build and maintain its ETL infrastructure — integrating new data sources, creating real-time pipelines with infrastructure-as-code, and improving performance, data governance, and cost. Core stack: GCP, BigQuery, Databricks, Spark, dbt, Tableau/Redash.
Hands-on architect role at Procore (Austin, TX) owning the end-to-end enterprise data platform — ingestion, warehousing, analytics, ML, and AI agents — while also writing production code and building self-service data tooling. Core stack: Snowflake/Databricks, SQL, Python, Fivetran, dbt, Airflow.
Data Engineer on the Business Intelligence team at an iGaming company, building and maintaining batch and streaming data pipelines on a cloud stack — Kafka, Spark on AWS EMR, S3, Snowflake, dbt and Airflow — while monitoring data quality, performance and scalability.
Data Platform Engineer at EastWest Bank in Metro Manila (hybrid) building and optimizing enterprise cloud-native data platforms and pipelines with Databricks, dbt, Kafka, Python, and SQL, while implementing DataOps/MLOps practices, CI/CD via GitLab, and ensuring security and compliance.
Senior data engineer who owns Fundable's data platform end-to-end: building concurrent, event-driven ingestion from provider APIs, webhooks, files, and scraping; orchestrating batch/backfill workflows with Airflow/Dagster/Prefect; and delivering raw-to-curated pipelines with dbt, GCP/GCS, and PostgreSQL, plus LLM-based structured extraction.
Senior Data Engineer designing, developing, and optimizing enterprise-scale ELT/ETL data pipelines and platforms supporting finance and data intelligence initiatives. Core stack: Snowflake, Databricks, Delta Lake, Delta Live Tables, Unity Catalog, dbt, and PySpark, with a focus on reliable, scalable, secure data solutions.
Leads the design, development, and optimization of enterprise-scale data platforms and pipelines supporting finance and revenue data initiatives. Core stack includes Snowflake, Databricks, Delta Lake, Delta Live Tables, Unity Catalog, dbt, and PySpark.
Snoonu, Qatar's homegrown super app, is hiring a senior data engineer to run and evolve its ETL infrastructure: integrating new sources, building real-time pipelines with infrastructure-as-code, enabling reverse ETL, and improving performance, governance, and cost. Core stack: GCP, BigQuery, AWS message brokers, Databricks, Spark, dbt, Tableau, Redash.
Senior Data Engineer owning a multi-source data platform end to end on Google Cloud Platform — building ingestion from APIs, webhooks, files, and web scraping; orchestration with Airflow/Dagster/Prefect and dbt; PostgreSQL modeling; and event-driven pipelines that deliver trusted company-intelligence data to downstream products.
Senior Data Engineer at Zebra Technologies in Bengaluru who leads the technical direction of the data engineering practice while staying hands-on: designing and owning production data pipelines and data models on Databricks (medallion architecture, Unity Catalog, Delta Lake) and Google BigQuery, using Python, SQL, and Git, plus mentoring engineers.
Senior Data Engineer II who architects and evolves Rightmove's data platform: building shared capabilities for ingestion, transformation, and orchestration across batch and real-time workloads. Day to day combines Python, SQL, dbt, Spark, Beam, Terraform, and GCP with architectural decisions, data quality standards, AI-assisted workflows, and mentoring engineers.
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