Tech jobs
Job listings
Senior Data Engineer
Design and build scalable data pipelines and distributed architectures for modern data platforms, integrating heterogeneous sources and optimizing data models for analytics.
Gcp Data Engineer/Data Architect
Designs and builds scalable GCP data pipelines (batch/streaming) using BigQuery, Dataflow, and Scala/Java/Python to turn raw data into business insights while ensuring security, compliance, and efficiency.
Ai Data Engineer
Designs and builds large-scale data pipelines using Apache Spark and Azure, then applies ML techniques (regression, clustering, anomaly detection) to fashion, geospatial and industrial datasets.
Azure Data Engineer
Designs and builds cloud-native data pipelines on Azure, integrating big data tools like Spark and Databricks to feed analytics and ML models for enterprise clients.
Data Engineer
Builds and maintains ETL pipelines and data warehouses using Python and SQL, deploys with CI/CD tools like GitLab/GitHub.
Java Back End Developer
Builds Java-based back-end services for enterprise clients in energy, banking, telco, and public sector using Java 8/EE 7, Oracle/Postgres/MySQL, and cloud tools.
Lead Data Engineer | Remote Data & AI Analytics
Lead a team to build and maintain scalable data pipelines and analytics architecture for a marketing analytics platform using AWS, Python, and Airflow.
Senior Full-Stack Engineer — Remote, AI‑Driven Marketing
Build backend services and frontend interfaces for a marketing analytics platform using Python (FastAPI/Flask), React/TypeScript, and PostgreSQL, with AI-assisted tools.
Senior Full-Stack Engineer – Remote, Impactful Data & AI
Builds scalable backend services and frontend interfaces with Python (FastAPI/Flask), React, and TypeScript, using PostgreSQL and Docker in data-heavy contexts.
Senior Data Engineer – OLAP Data Lake & Airflow
Owns and builds an S3-backed OLAP data lake and Airflow-driven ETL pipelines for a marketing analytics platform, choosing formats, schemas, and near-real-time processing.
Lead Data Engineer: Analytics & Data Lake Architect (Remote)
Lead a team to design and maintain a high-volume marketing analytics data lake on AWS, defining ETL pipelines, Airflow orchestration, and S3 partitioning for near-real-time insights.
Lead Data Engineer - Remote OLAP Pipeline Architect
Lead a team to design and maintain high-volume marketing analytics pipelines using AWS S3, Athena, EKS, and Airflow for near-real-time processing.
Кампейн инженер/ Аналитик данных
Builds and configures marketing campaigns for a bank by writing SQL queries, analyzing customer data, and automating processes using tools like Greenplum and Python.
Hybrid Data Engineer - ETL, Spark & Big Data Pipelines
Build and maintain ETL pipelines using Spark and Big Data tools to process large-scale news and company data for analytics and AI systems.
Data Engineer - ETL Pipelines & GCP Specialist
Designs, builds, and optimizes scalable ETL/ELT pipelines and data warehouses on GCP to ensure reliable, high-quality data for analytics and business teams.
Middle Data Engineer
Designs and maintains scalable data pipelines and warehouses on GCP, using Python, BigQuery, and ETL tools to support analytics and data science teams.
Hybrid Technical Data Analyst - Building Production-Grade Pipelines
Builds and deploys production-grade data pipelines in Python/SQL, using Airflow or dbt to turn prototypes into scalable analytics services with FastAPI/Flask APIs.
Hybrid Data Analyst & QA Engineer: Quality-Driven Insights
Hybrid role in Barcelona profiling datasets, testing data pipelines, and building ETL flows with Python to deliver insights via Power BI and statistical analysis.
Data Operations & Technical Support Engineer
Factorial is seeking a Technical Support & Data Operations Engineer to bridge Customer Experience and Core Engineering. La descripción completa del puesto cubre todas las habilidades asociadas, la experiencia…
Water Data Analytics Engineer — ETL, Azure & Power BI
Builds and maintains ETL pipelines and data validation for water-business processes using SQL and integration tools, focusing on billing, collections, and telemetry.