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Senior Software Engineer | Commodities Research, Data & AI | Singapore
Build data platforms, analytics tools, and UIs for a global investment firm's commodities team, applying AI/LLMs to investment research workflows.
Cloud Data Engineer: Build Scalable Data Platforms on AWS
Elliott Moss Consulting in Singapore is seeking a skilled Data Engineer (Cloud) to design, build, and maintain cloud-based data analytics solutions, data platforms, and data engineering infrastructure. You will work…
Data Engineer (ETL Solutions)
Responsibilities Analyze existing Talend ETL jobs and design equivalent Spark-based pipelines . Migrate and optimize data workflows from Talend to Spark (PySpark/Scala). Collaborate with data architects to define…
Data Engineer – Data Platforms & AI Tooling (Remote, LATAM)
Builds scalable data pipelines and AI-facing integrations that power Agentic AI systems and enterprise analytics using Python, SQL, and cloud platforms.
Senior Data Engineer - Remote ML & Big Data
Design and build scalable data platforms and optimize data pipelines to support ML-driven insights at a Big Data and Machine Learning startup.
Principal Data Engineer
At Mitratech, we are a team of technocrats focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives…
Data Engineering Lead (Hybrid)
Lead the build-out of a modern data stack (ELT pipelines, streaming, warehousing) and mentor a combined data engineering/data science team while migrating legacy systems to cloud platforms like Redshift and Databricks.
Hybrid Data Engineer Mexico City: Databricks, Python & SQL
Designs and maintains scalable data pipelines and infrastructure in a hybrid Mexico City office, using Databricks, Python, and SQL to ensure data system reliability and performance for cross-functional teams.
Oliver Wyman - Data Engineer - Mexico City
Designs, builds, and maintains scalable data pipelines and infrastructure using Databricks, SQL, and Python to support data-driven initiatives.
[2026] MX - Data Engineer - Maintenance - OPS
Lead digital maintenance projects and develop solutions in SQL, PowerBI, and Power Apps to optimize plant efficiency and support data-driven decisions.
Data Engineer
Builds and maintains data pipelines for carbon projects, using Python, SQL, and pipeline development to standardize data across projects for carbon accounting, reporting, and decision-making.
Data Scientist
The Data Scientist builds and maintains data models, develops LLM features, and collaborates with stakeholders to deliver AI-driven solutions. Core work includes modeling, pipeline integration, and ensuring production-grade, well-documented code using Python, SQL, and cloud platforms.
Lead Data Engineer
Lead a team to design and implement modern data architectures and pipelines for clients, using distributed systems and big data tools to solve business problems.
Senior Manager, Marketing Analytics
Who We Are Having surpassed $300M ARR and continuing to grow, Optro helps enterprises transform risk into opportunity through its AI-powered GRC Intelligence Platform. More than 50% of the Fortune 500, including 7 of…
Senior Data Engineer - Data Platform
Senior Data Engineer working on a modern cloud-based data platform using AWS, Terraform, Snowflake, Airflow, and DBT. Responsible for delivering data solutions from requirements to production using agile frameworks, writing code and tests, and contributing to CI/CD practices.
Senior Data Platform Engineer (Databricks & Fabric)
Designs and delivers end-to-end data platform solutions using Databricks/Fabric, collaborating with clients and architects to build scalable data pipelines and enable AI-driven insights.
Data Engineering Architect — Build Modern Data Platforms
Architect modern data platforms across AWS, Azure, and GCP, leading design sessions with client teams and driving strategy and implementation spanning data engineering, ML engineering, and DevOps automation.
Senior Data Engineer
Senior Data Engineer designing, developing, and operating modern cloud-based data platforms using Snowflake, dbt, AWS, and Azure. Responsible for DataOps and MLOps delivery, technical leadership, and mentoring while working on scalable, secure data solutions.