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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 – 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.
Data engineer
Designs, builds, and maintains data pipelines and ETL/ELT processes to integrate, clean, and store data for analytics and decision-making using SQL, Python, and cloud platforms.
Hybrid Data Analyst – Big Data Pipelines & Analytics
Designs batch and streaming data pipelines and analyzes large datasets using SQL, Python, and Scala, collaborating with data engineering teams.
Middle/Senior DevOps Engineer [МТС Веб Сервисы]
DevOps engineer deploys and maintains Kubernetes clusters, automates CI/CD pipelines, and sets up monitoring for AI and data services using Terraform, GitLab CI, ArgoCD, Prometheus, and Grafana.
Senior Data Engineer — Lakehouse & Cloud Pipeline Lead
Senior Data Engineer leading a migration from Teradata to an AWS Lakehouse with Databricks, building scalable pipelines and modernizing legacy code using dbt and Airflow.
Consultant Data Engineer IRC302341
Build and migrate data pipelines from Teradata to AWS Lakehouse using Databricks, dbt, Airflow, and Iceberg for a regulated financial services client.
Senior Software Developer (Python)
Build cloud-native Python services and data platforms that power AI-driven analytics, forecasting, and optimisation for Sky’s networks, using FastAPI/Flask/Django, GCP, Docker, and Kubernetes.
Cloud-Driven Backend Engineer | AWS Data & Analytics
Designs and builds scalable AWS data pipelines using Python, PySpark, Airflow MWAA, and Redshift to power analytics and data warehousing.
Salesforce Data Cloud Engineer
Builds and maintains Salesforce Data Cloud and Databricks pipelines to integrate, transform, and unify customer data for real-time decisioning, personalisation, and analytics in high-security enterprise environments.
Data Engineer (Melbourne or Sydney)
Build and maintain secure ETL pipelines in Python/Java that extract, transform, and load data into CSV files for downstream systems using AWS and SFTP.
Solution Designer / Lead Data Engineer
Design and lead a modern, cloud-agnostic enterprise data ingestion framework, building scalable pipelines across GCP, AWS, and Azure while embedding governance, quality, and security controls.
Data Engineer: ETL & Data Pipelines (Melbourne/Sydney)
Designs, builds, and maintains ETL pipelines in Python/Java/SQL to move data securely between sources and downstream consumers using AWS and potential Airflow/Claude Code.
Google Data Engineer - GCP
Design and build scalable GCP data pipelines (BigQuery, Dataflow, Pub/Sub) to process petabyte-scale data, enabling analytics and ML across enterprise systems.
Senior Data Engineer
Build and maintain scalable cloud data pipelines and warehouses (Snowflake/BigQuery) to power AI-driven analytics and BI for top consumer brands.
Analytics Engineer: Data Platform & A/B Tests (Hybrid)
Builds and maintains a dbt-based data platform for a car-rental startup, aligning metrics with sales and operations and running A/B tests.
Data Engineer with German - Senior - EY GDS Spain - Hybrid
Senior Data Engineer builds and maintains scalable batch/streaming pipelines (PySpark, SQL) for EY GDS Spain, supporting clients’ digital transformation with distributed data processing and ETL/ELT workflows.
Data Engineer — AI, ETL, Airflow & Snowflake (Remote 1 Day/Week)
Designs, builds, and maintains data pipelines and warehouses using SQL, Python, Airflow, and Snowflake to support AI-driven analytics and business growth.
Senior Cloud Data Engineer (Snowflake, Airflow, Azure)
Designs and maintains scalable data pipelines on Snowflake and Azure using dbt, Airflow, Python, Docker, and Kubernetes to ensure data quality, security, and modernization in a fast-paced environment.
Data Engineer: AI-Driven Data & Automation Specialist
Designs, builds, and maintains scalable data pipelines and ETL/ELT workflows using Airflow, Snowflake, and ERP APIs to automate data integration and enable AI-driven analytics.