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Senior Data Engineer
Senior Data Engineer at Lighthouse (formerly The Hotels Network) in Barcelona, building and scaling data pipelines that ingest and transform ~100 TB/day of hotel data into BI data products. Core stack: Python, dbt, Airflow, GCP (BigQuery, Spanner, Pub/Sub), and Kubernetes.
Senior Data Engineer
Senior Data Engineer at NZ Transport Agency (NZTA) leading design and delivery of enterprise-scale data platforms, pipelines and products on Databricks and cloud Lakehouse architecture to support analytics, BI and AI, while coaching engineers and setting standards. Permanent full-time role based in an NZTA office in New Zealand.
Senior Data Engineer
Senior Data Engineer at NZ Transport Agency (Waka Kotahi) leading design and delivery of enterprise data platforms, pipelines, and products for transport analytics and AI, while coaching other engineers. Core stack: SQL, Python, Databricks, and cloud Lakehouse/medallion architecture. Permanent, office-based in NZ.
Senior Data Engineer - Azure Cloud (m/w/d)
Senior Data Engineer who designs, builds, and owns central Microsoft Azure data platforms for consulting clients in logistics, finance, and industry — integrating enterprise and machine data, modeling it for AI and dashboards using SQL, Python, Power BI, IaC, and CI/CD, with a career path toward Principal Architect Data & Cloud.
Senior Data Engineer (Apache NiFi, Airflow & Kafka) | Tentacle Tech | Selangor, Malaysia
Senior Data Engineer on a renewable contract in Selangor, Malaysia, owning enterprise data lake architecture, ETL/ELT pipeline optimization, and real-time streaming analytics for a banking client. Core stack: Apache NiFi, Airflow, Iceberg, and Kafka, with Python/PowerShell/Bash scripting and ELK-based monitoring.
Senior Data Engineer — Cloud Data Platform | Flexible Hours
Senior data engineer in Kuala Lumpur building and operating an enterprise cloud data platform spanning ingestion, modelling, transformation, and API delivery. Focus on platform stability, performance tuning, cloud cost governance, and regional data-privacy compliance, with tracks in data warehousing/databases or data integration/security.
Senior Data Engineer
Senior Data Engineer in Kuala Lumpur building and operating an enterprise data platform: ingestion pipelines, Snowflake layered warehouse modelling, PostgreSQL, data APIs, monitoring and data governance. Applicants qualify via one of two tracks: data warehouse & database, or data integration & security compliance (NiFi/Kafka/Flink, RBAC, PDPA/GDPR).
Senior Data Platform Engineer — Global Data & AI Backbone
Senior data platform engineer owning team.blue's central data ecosystem across 60+ subbrands — building and governing data products for BI, operations, and AI. Core stack: Databricks, Airflow, dbt, and AWS, with data architecture, governance, and metadata work alongside Analytics/ML teams.
Senior Data Engineer IRC307789
GlobalLogic (a Hitachi Group company) is hiring a Senior Data Engineer in Kraków to build and maintain data pipelines, create clean data models, and design dashboards. Core stack includes Databricks, Snowflake, SQL, Python, ETL automation, and visualization tools like PowerBI and ADX.
#8 Data Engineer Senior - Databricks - Latam MUTT DATA 5h ago
Senior Data Engineer building batch and streaming pipelines, semantic models, and data products on Databricks (Python/Spark) for a multinational beverage company client in Mexico City, while mentoring domain engineers on data modeling and quality. Core stack: Databricks, Spark, Python, AWS.
Senior Data Engineer - Remote, Databricks & ML Pipelines
Data engineer at Muttdata, a remote-first data products and ML startup, building data pipelines, semantic models, and cloud-based infrastructure (Databricks) for a multinational beverage client in Mexico, delivering ML-driven insights with an emphasis on ownership and mentorship.
Senior Data Engineer
Leads a cross-functional data engineering team at Kraft Heinz in Mexico City, owning architecture and delivery of data pipelines, ingestion, processing, and analytics platforms. Works hands-on with Python, advanced SQL, dbt, Dagster, and Snowflake on Azure/AWS/GCP cloud with CI/CD and DevOps practices.
Senior Data Engineer (Remote) for Scalable Pipelines
Placements24 is hiring a Senior Data Engineer for a globally distributed, fully remote team. The role centers on designing and maintaining scalable data pipelines, optimizing ETL/ELT processes, and managing data warehousing for analytics and ML, along with mentoring junior engineers.
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.
Senior Data Engineer: AWS & Databricks Lakehouse Architect
Senior Data Engineer who designs, builds, and optimises enterprise-scale data platforms on AWS and Databricks, owning data pipelines and lakehouse implementations that power BI, analytics, and AI/ML initiatives. A hands-on Singapore-based role that also shapes architecture and mentors junior engineers.
Senior Data Engineer: Azure & Databricks Banking Platform
Senior data engineer supporting a live corporate banking data platform built on Azure and Databricks. Day to day involves data mapping, pipeline development, and performance tuning, requiring 10+ years in data with strong SQL/Python and full SDLC experience.
Senior Data Engineer: Real-Time Pipelines & Data Platforms
Senior Data Engineer at TOPPAN ECQUARIA in Singapore who designs, builds, and maintains large-scale batch and real-time data pipelines. Day-to-day work centers on ingesting, cleaning, and transforming data with Spark and big data frameworks, modeling tables in data lakes/warehouses, and building backend APIs with database integrations under data governance and security practices.
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.