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Lead Data Engineer — Hybrid (Databricks, Airflow, dbt)
Lead Data Engineer at AZKAIT, an IT staffing firm, based in Mexico City on a hybrid schedule (3 office days / 2 remote) working 9:00–18:00 CST. Leads data engineering work using Databricks, Airflow, dbt, Python, SQL, and AWS, requiring 5+ years of experience and advanced English.
Data Engineer, Semi-Senior — GCP, Airflow & BigQuery
Data engineer at AVIVA, a phygital bank in Mexico, building robust Python data pipelines on GCP using BigQuery, Cloud Run/Functions and Pub/Sub, orchestrating workflows with Airflow, and delivering end-to-end, scalable integrations with APIs and SQL/NoSQL stores with a focus on data quality and observability.
Data Engineer Lead — AI Integration
Senior data engineering lead delivering AI accelerator implementations in Snowflake for enterprise clients, starting with a US banking institution. Day to day: leading data architecture, building pipelines and integrations, and applying data governance using SQL, Python, dbt, Airflow, and cloud platforms.
Lead Data Engineer — AI & Snowflake Pipelines (Hybrid)
Lead Data Engineer at Forte Innovation Consulting to design Snowflake data pipelines, governance, and architecture for enterprise clients' Data + AI initiatives, leading data engineering on international projects. Core stack: SQL, Python, Snowflake, dbt, and Airflow, with collaboration across US-based teams.
Lead Data Engineer.
Lead Data Engineer for Azka IT Consulting, a Mexican IT staffing firm placing talent with LatAm/US clients. Leads data platform work using Databricks, Airflow, dbt, Python, SQL and AWS. Hybrid role (3 days on-site) in Mexico City, Monday–Friday 9:00–18:00 CST.
Data Engineer / Phyton
Altumware seeks a Data Engineer (hybrid in San Pedro, Mexico) to design data architectures and optimize data pipelines for data-driven decisions. Core stack: Python/Scala, SQL with relational and NoSQL databases, at least one cloud (AWS/GCP/Azure), orchestration with Airflow/Prefect/Dagster, and warehouses like Snowflake, BigQuery or Redshift.
Data Engineer
Data Engineer at LaPieza, a Mexican SaaS provider of payroll and HR administration. Builds and maintains ETL/ELT pipelines and medallion-style data layers (raw, staging, marts) in Snowflake with dbt, Airbyte, and Airflow/Prefect, adding automated data-quality checks to feed internal BI teams and client-facing data products.
Data & Systems Engineer: Build Scalable Pipelines
Data Engineer at the Centre for Strategic Infocomm Technologies in Singapore, designing and optimizing data flows and building scalable pipelines, and working with cross-functional teams to turn requirements into robust data products. Core stack includes SQL/NoSQL, ETL tools (NiFi/Airflow), Hadoop, Spark, Kafka, and REST APIs.
Senior Data Engineer (AWS & Databricks) (1 Year Contract)
Rhino Partners is hiring a Senior Data Engineer on a 1-year contract in Singapore to take technical ownership of enterprise-scale data pipelines and lakehouse platforms built on AWS and Databricks, using Python, PySpark, SQL and Delta Lake.
Junior Data Engineer: Mentored in Scalable Pipelines
A junior data engineer role in Singapore: build and scale production-grade data pipelines and query infrastructure processing terabytes daily, using Spark/Flink, Kafka, Airflow, and cloud platforms (AWS/GCP/Azure). Open to fresh graduates or 1-2 years of experience, with mentorship in a distributed environment.
Data Engineer: Cloud Pipelines, PySpark & Iceberg
Data engineer at Aryan Solutions building and maintaining cloud-based data pipelines and distributed systems that handle large data volumes. Day-to-day work centers on data transformation and orchestration using Python, SQL, AWS, PySpark, Apache Iceberg, dbt and Airflow.
Data Engineer (Data & Systems Engineering)
Builds and maintains ETL pipelines, optimizes data flow between systems, and analyzes telemetry for actionable insights at CSIT, a Singapore Ministry of Defence agency. Core stack includes OOP languages (Python, Golang, Java, C++), SQL/NoSQL databases, and tools like NiFi or Airflow. Singapore Citizens only.
Data Engineer (Databricks) - F/M/X
Amaris Consulting seeks a Data Engineer in Geneva to design, build, and run critical data pipelines in a commodities-trading environment using Databricks (Delta Lake, PySpark, Unity Catalog) and AWS (S3, Lambda, Glue, Athena). The role spans Medallion architecture, CI/CD, governance, and production reliability.
Engineering Manager - Recommendations
Leads Truecaller's multi-disciplinary Recommendations/adVantage team (ML engineers, data scientists, backend and data engineers) building retrieval, ranking, contextual-bandit and real-time serving systems for ads shown to hundreds of millions of users. Role blends people leadership with applied-ML technical direction, planning, and delivery.
Senior Data Engineer - Recommendations
As a Senior Data Engineer on the Recommendations and adVantage teams, you will build and own the data foundation behind Truecaller's recommendation and advertising ML systems, including feature pipelines, streaming event ingestion, training datasets, and real-time feature serving, using Python, Spark, and cloud infrastructure.
Data Engineer
Data Engineer maintaining and improving large-scale data ingestion pipelines and a self-service analytics platform, using Spark (Scala/Python), cloud providers, and orchestration tools like Airflow.
Engineering Manager - Data
Leads a multidisciplinary team of ML engineers, data scientists, and data engineers driving Truecaller's core intelligence: calling/search, trust graph, fraud detection, federated learning, and the AI Assistant. Combines people management with applied ML, real-time model serving, and data platform direction (Spark, Kafka, Airflow, GCP).
Senior Data Engineer
As a Senior Data Engineer at Truecaller, design and build scalable data pipelines and infrastructure for Smart SMS features (e.g., categorization, fraud detection) using Spark, Scala, Python, and GCP, collaborating with Data Scientists and Product teams to deliver reliable datasets for millions of daily users.