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Lead Data Engineer
Lead Data Engineer designs and builds modern data platforms (Databricks, Azure Synapse) and pipelines, mentors teams, and shapes Forte’s Data & AI strategy while collaborating with clients and stakeholders.
Data Engineer
Build and optimize SQL-based data pipelines, ETL workflows, and reporting models using PostgreSQL, BigQuery, and Tableau to deliver actionable business insights for an agribusiness leader.
Senior Data Engineer — Remote: Pipelines & Insights
Senior Data Engineer builds and maintains scalable data pipelines and models to turn raw data into reliable insights, partnering with product and engineering teams.
Senior Java Software Engineer
Build and maintain a large-scale Java/Spark platform that collects, processes, and transforms banking data into regulatory reports for 240 jurisdictions worldwide.
full stack developer in fintech
Builds full-stack Python/JavaScript apps and data pipelines for J.P. Morgan’s financial services, delivering user-facing dashboards and back-end integrations to streamline operations.
Senior data Engineer (M/F)
Build and maintain scalable data pipelines on Azure, using Databricks, Data Factory, PySpark and Python to support analytics and data science teams.
Data Engineer
Design, build, and maintain scalable data pipelines and analytics solutions using AWS, Python, SQL, PySpark, and Apache Airflow for a hybrid role in Madrid.
Data Engineer: Azure Synapse, Fabric & Cloud Pipelines - €4.500 - €6.500 Per Maand
Builds and optimizes Azure Synapse and Fabric data pipelines, maintaining cloud infrastructure and enabling data-driven solutions for a product-focused team.
Medior Data Engineer - Tot €4.435 Per Maand
Builds and maintains data pipelines, databases, and BI solutions using SQL, NoSQL, Azure, and Python to enable faster innovation and decision-making for clients across industries.
Data Scientist - Remote, AI-Driven Analytics & Pipelines
Design and improve data pipelines, build scalable data products, and deliver analytics to drive product decisions using AI-driven methods.
GCP Data Architect & Engineer — Scalable Pipelines (Hybrid)
Designs and builds secure, scalable GCP data pipelines that turn raw data into business insights while ensuring governance and compliance.
Data Scientist - AI-Driven Data Pipelines & Insights
Design and improve AI-driven data pipelines and internal tools to ensure accurate, scalable data and insights for product teams in a fast-moving environment.
GCP Data Engineer/Data Architect
Designs and builds scalable GCP data pipelines and warehouses, focusing on BigQuery, Dataflow, and Data Fusion to enable data-driven decisions and insights.
Remote Data Engineer — Pipelines & Systems
Designs and builds scalable data pipelines and systems using Python, Docker/Kubernetes, and SQL/NoSQL databases to collect, transform, and orchestrate large datasets.
Principal Data Engineer (GCP)
Leads the design and delivery of a cloud-native data platform on GCP, mentoring engineers and setting standards for scalable, compliant data pipelines and governance.
Lead/ Senior - Quality Assurance
Lead or Senior QA Engineer validating AI-driven analytics platforms, data pipelines, and dashboards for global clients, ensuring accuracy and go-live readiness through automated testing and UAT.
Backend Developer (SQL, Oracle, R, Python) - Contract
Designs and maintains ETL pipelines, writes SQL queries, and cleans/integrates data for utility systems using Oracle, MS SQL, R, and Python.
Senior Python Developer
Builds and deploys full-stack Python web apps with React frontends, SQL databases, and GenAI/LLM workflows using LangChain/LangGraph for an adtech product.
Data Engineer – MVA Inference & Audience Development (Remote, Global)
Builds ETL/ELT pipelines and privacy-safe inference layers for marketing audience segmentation using aggregated historical data in cloud data warehouses.
Senior Go Backend Engineer — Real-Time Trading, Cloud-Native
Build cloud-native, low-latency backend systems in Go to power real-time trading, data pipelines, and research workflows for a fintech firm.