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Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates…
Senior client-facing consulting role at adesso Belgium: own end-to-end delivery of 1-4 cloud data platform engagements, act as primary technical contact, and lead architecture quality while staying hands-on. Core stack: Microsoft Azure, Databricks, Microsoft Fabric, plus Python, PySpark, Terraform, IaC and CI/CD.
Mibanco, a microfinance bank in Peru's Grupo Credicorp, seeks a Data Engineer to build and maintain ETL/ELT pipelines, ensure data quality, security and SBS compliance, and publish curated datasets while mentoring other analysts. Core stack: Python, SQL, Spark, Databricks, Azure Data Factory/Synapse, Kafka, dbt, Snowflake, Docker, Kubernetes, Terraform.
Builds and deploys scalable batch data solutions (pipelines, DataOps, Lakehouse) under a unified On-Premise/Azure architecture for Minsait (Indra Group), working fullstack with Python, JavaScript (Vue.js/React) and Web Services/APIs. Hybrid role: 2 days/week on-site in Chorrillos or La Molina, Peru.
Leads iCapital's enterprise data platform as an SVP: defining data architecture and a multi-year roadmap, setting engineering/governance standards, and building an AI-ready ecosystem on Snowflake with dbt-based semantic layers, while managing and growing the data engineering organization.
About Matia Matia is at the forefront of the DataOps revolution , building a unified platform that streamlines data management from end-to-end. We empower data teams with seamless ingestion, reverse ETL, comprehensive…
What if you could help companies transform their businesses using AI, machine learning and data? Joining KPMG as an AI Developer means you’ll be working with a variety of clients, applying the latest AI models and…
Jr. Data Engineer at Industrias San Miguel in Lima, Peru: design, build, and maintain the data infrastructure behind the company's BI and analytics — ETL/ELT pipelines, data warehouse/lake modeling, quality assurance, and pipeline monitoring — using SQL, Python, Apache Airflow, and cloud data services like Azure and Snowflake.
Consulting role in Casablanca focused on industrializing, deploying, and running Big Data and AI platforms for client missions. Day to day involves operating data pipelines with Airflow, managing Hadoop/Spark infrastructure on Kubernetes/OpenShift, and applying CI/CD, GitOps, and MLOps practices (MLflow, Kubeflow).
We are looking for AI/ML Architect with 10+ years in data and analytics, including 6+ in ML/AI, 3+ in banking and 2+ on production GenAI Must-have skills Banking and AI governance • Taking AI/ML solutions to production…
Senior Data Architect based in Peru (hybrid) who designs modern, scalable and secure cloud data architectures on Azure and Databricks. Day to day they define data standards, ETL/ELT pipelines, governance and security strategies, and embed DataOps/DevOps practices across enterprise analytics initiatives.
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…
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.
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.
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…
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.
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