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Associate Data Engineer
Builds and maintains data pipelines using Python, SQL, and cloud tools like AWS or Databricks to move and integrate data at scale.
Principal Data Engineer (Databricks)
Designs and builds scalable ETL pipelines on Databricks, using PySpark, Delta Lake, and Medallion Architecture to process and optimize large-scale data workflows.
Senior Data Engineer: Databricks & Delta Lake Specialist
Design and maintain production-grade ETL pipelines using Databricks, Delta Lake, and Apache Spark in a fast-paced consultancy environment.
Data Engineer (OT Data)
Build and maintain high-performance data pipelines that bridge operational technology (OT) systems like SCADA and IoT sensors with cloud analytics in the oil and gas sector, using Azure, Python, and Spark.
Data Engineering Consultant (Category - Architect)
Design and build scalable data platforms for industrial IoT and AI in oil & gas, using Azure cloud services and real-time streaming pipelines.
Senior Data Engineer
Build and govern Databricks-based data pipelines and platforms, ensuring scalable, secure, and high-quality data products for analytics and ML teams.
Senior Data Engineer (Azure/Databricks)
Build and maintain scalable data pipelines and lakehouse architectures on Azure/Databricks, enabling analytics and reporting for HR and people operations.
Data Engineer - Azure Databricks & Lakehouse
Builds and optimizes Azure Databricks pipelines and Spark transformations to deliver reliable data for global clients.
Senior Data Engineer, Sales Solutions
Build and run a European sales-reporting data product in Azure, owning pipelines, transformations, and Power BI outputs that help Sales and Finance make decisions.
Expert Data Engineer
Design and build scalable data platforms, ETL/ELT pipelines, and cloud data warehouses using GCP tools like BigQuery, DBT, Airflow, and Trino to support data-driven decisions.
Principal Data Engineer
Principal Data Engineer designs and leads enterprise-scale data platforms and pipelines at Kingfisher, using Python, Spark, and cloud services to enable analytics and business value across retail brands like B&Q and Screwfix.
Senior Data Engineer
Build and maintain cloud-based data pipelines and warehouses using GCP, BigQuery, DBT, Airflow and Trino to enable scalable analytics and data-driven decisions.
STREAMING DATA ENGINEER
Build and maintain real-time data pipelines and streaming applications using Kafka, Flink, and Spark to process large-scale data with low latency.
Data Engineering Manager
Lead a hybrid role managing data engineering teams and client projects, designing Azure-based cloud data platforms and GenAI-ready data architectures for banking, insurance, and retail clients.
Azure Databricks Data Engineer: Lakehouse Pipelines
Builds and optimizes Azure Databricks Lakehouse pipelines using PySpark and SQL Server to transform and deliver data for BI teams.
Azure Databricks Data Engineer – Lakehouse & Pipelines
Design and build Azure Databricks-based data pipelines that ingest and transform diverse data sources into a scalable lakehouse platform.
Senior Applied Data Scientist - Data Architecture & Feature Engineering
Senior Applied Data Scientist designs scalable data infrastructure and feature pipelines for AI models in Keysight’s test, measurement, and design workflows, using Python, SQL, Spark, and Snowflake.
Senior Analytics Engineer: Build Trusted Data Products & KPIs
Build trusted data products and KPIs using dbt and Databricks; transform raw data into analytics-ready datasets while collaborating with cross-functional teams.
Senior AI Engineer: Enterprise AI & Data Platforms
Senior AI Engineer builds and deploys enterprise AI agents on Azure Foundry and Databricks to automate workflows across sales, legal, product, and operations in an automotive company.
Software Engineer Python & Azure (Data Integration APIs)-Híbrido
Build and maintain Python-based data-integration APIs on Azure, automating pipelines and ensuring robust, secure services for a modern Customer Data Platform.