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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.
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.
Software Engineer - Data & AI Platform - STACKIT (m/f/d)
Build and extend a sovereign cloud Data & AI platform using Kubernetes, Go, and open-source tools like Kafka and Spark to automate service lifecycle management.
Senior Python Backend Engineer - Microservices & Data
Senior Python engineer building scalable backend microservices and distributed systems using PostgreSQL, Kafka, and Docker in a product-focused team.
Data Analytics & Automation Engineer (GCP, Snowflake)
Builds and automates data pipelines on GCP and Snowflake using DBT, Prefect, and Airflow to support audit analytics at a global source-to-pay platform.
Analytics Engineer — Data Products & Warehouse Architect
Build and maintain the data warehouse and semantic layer using SQL, dbt, and Airflow to enable AI agents and stakeholders to access trusted data assets.
Senior Data Platform Engineer - Snowflake/Azure & Salesforce
Design and build cloud-native data platforms using Snowflake, dbt, Airflow, Python, and SQL, integrating Salesforce data for analytics and governance.
Remote-First Data Engineering Intern: Build Scalable Pipelines
Build and maintain scalable data pipelines in Google Cloud using Airflow, dbt, BigQuery, Pub/Sub, and Snowflake to enable reliable data ingestion, transformation, and analytics.
Hybrid Data Platform Engineer - Snowflake & AWS
Build and maintain Snowflake and AWS-based data platforms, automate infrastructure with Terraform, and run secure data pipelines across 60+ countries.
Data Platform Engineer: Snowflake, Terraform & Airflow
Own and evolve a Snowflake-based data platform and AWS lakehouse, managing Terraform infrastructure and Airflow workflows in a hybrid Barcelona role.
Cloud Data Platform Engineer — Remote-First, Global Scale
Build and maintain cloud data infrastructure using Terraform on GCP, automate pipelines with GitLab CI, and scale Airflow for analytics teams.
Data Platform Engineer — Lakehouse & Governance Lead
Design and run large-scale data pipelines and lakehouse architectures, enabling analytics and AI workflows with Python, SQL, and Spark.
Data Engineer, Google Cloud Platform | Remote & Growth Path
Build and maintain cloud data pipelines on GCP (Dataflow, Airflow, BigQuery) and SQL databases to feed analytics and business insights.
Data Engineer - Hybrid, Stock Options & 25 Days PTO
Build and maintain a modern data platform using Python, SQL, Airflow/Dagster, Snowflake, and AWS to power analytics and reporting across the crypto company.
Data Engineer VIE à Madrid | Spark, Scala & Airflow
Build and maintain robust big-data pipelines using Spark (Scala), Airflow for orchestration, and CI/CD tooling; ingest and process large datasets for a major banking client.
Senior Data Platform Engineer for Scalable Pipelines
Designs, builds, and optimizes batch and streaming data pipelines using Python, Spark, and ClickHouse, and operates Airflow workflows for scheduling and monitoring.