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A 50/50 hands-on Principal Data Engineer role on an established enterprise data team: architect, build and optimise scalable, secure AWS data pipelines and data lake/lakehouse platforms using Python, Spark, dbt, Airflow and Redshift, while mentoring engineers, driving DataOps/governance and implementing SageMaker.
SOAINT is hiring a mid-level Data Engineer in La Pampa, Argentina to lead data pipelines across diverse sources, working on ETL and Big Data processes with Python, SQL optimization, and Power BI, in a hybrid setup (3 days on-site, 2 remote).
Design and evolve a data platform supporting advanced analytics and near-real-time ML, owning data architecture, modeling, and scalable pipelines in Databricks (Lakehouse, Delta Lake, Unity Catalog) to deliver reliable data to business, BI, and Data Science teams.
We have an exciting opportunity for an experienced leader with a proven track record in leading data-driven transformation. As an established data leader, you will have the skills to influence at every level, imparting…
About the Job Location: Taguig Corporate Title : Senior Assistant Vice President to Vice President Work Arrangement: Hybrid Our Enterprise Data team is looking for experienced professionals to join us in Taguig with…
Responsibilities Peraton is seeking an experience Lead Data Scientist to join our team of qualified and diverse individuals. This position supports our customer as part of an application transformation and…
Job Description Team: Corporate Data Services Salary Range: $135,000-$185,000 USD Location: Remote Opportunity for Impact Applied builds cloud software and AI-powered solutions that are reinventing how the global…
Senior leadership role (SAVP-VP) at EastWest Bank in Taguig (hybrid) leading the strategy, delivery, and operations of the bank's AI/ML and data platforms. Day to day involves overseeing cloud-based ML lifecycle platforms, MLOps/DataOps/DevOps, CI/CD, and platform reliability using tools like Databricks and Kubernetes.
JobResponsibilities Design, develop, and implement scalable data engineering solutions to support PIPL program requirements. Build and maintain end-to-end ETL/ELT pipelines using Python , SQL , and modern data…
Architect and lead enterprise-scale data platforms, MDM, and agentic AI integrations (RAG, LLM workflows) in cloud-native environments, while setting engineering standards and mentoring teams.
Architect and lead enterprise-scale data platforms, MDM, and agentic AI systems, building scalable pipelines and trusted data foundations for analytics and AI-driven applications.
WHO WE ARE: As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From…
Own and drive the technical architecture for complex, cross-team data initiatives spanning ingestion, transformation, storage, and serving layers. Design, build, and maintain scalable, high-performance data pipelines…
Senior Data Engineer joining an enterprise insurance claims transformation squad in Sydney, building a greenfield Snowflake data warehouse: designing scalable pipelines and data models, migrating SharePoint-based data, and contributing to DataOps/CI-CD practices. Core stack: Snowflake, DBT, SQL, Azure; day rate up to $1,000.
DataOps/Data Engineer working hybrid in Barcelona for a leading hub, keeping a global data platform stable, observable, and continuously available within a Spotify-style squads-and-tribes setup. Core stack: Python, SQL, and Spark on Databricks, with CI/CD via Azure DevOps or GitHub/GitLab.
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in…
Designs and maintains data pipelines, workflow automation and internal tooling for Sonitec's sensor AI engine, profiling and optimising performance-critical code while running CI/CD, DataOps and MLOps workflows. Day to day involves Python/Java development on Linux/Docker and processing in-field sensor test data.
A hands-on Senior Staff Engineer who leads the design, implementation, and modernization of Sandisk's enterprise-wide data platform — data governance, Databricks lakehouse on Azure/GCP, ELT/ETL pipelines (Spark, Python, SQL), analytics, and AI-driven solutions — while setting architecture standards and mentoring engineering staff.
A Senior Data Engineer at Fresenius Kabi designs, builds, and maintains scalable data pipelines, ETL/ELT processes, and warehouse/lakehouse platforms (e.g., Snowflake, Databricks) integrating sources like SAP, Salesforce, and APIs. The hybrid role is hands-on technical plus consulting-oriented, using SQL, Python, Scala/Java, and cloud platforms (AWS, Azure, GCP) to ensure data quality and governan
A hybrid senior role at Nimbus Intelligence: consulting on complex data engineering projects, mentoring junior engineers, leading the Nimbus Academy training program, and supporting pre-sales. Core stack is Databricks, Snowflake, dbt, Python, SQL, and cloud platforms (Azure, AWS, GCP).
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