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Data Engineer (ETL Specialist)
Build and maintain a Databricks-based BI platform, writing PySpark ETL pipelines and orchestrating workflows in Azure Data Factory to feed Power BI dashboards for a global security services company.
Data Engineer (ETL Specialist)
Build and maintain Databricks-based ETL pipelines and lakehouse architecture to power Securitas’ global BI platform, using PySpark, Delta Lake, and Azure Data Factory.
Data Engineer - Databricks
Build and optimize Databricks Lakehouse pipelines for clients, turning raw data into governed, AI-ready assets using PySpark, Delta Lake, and Unity Catalog.
Data Engineer (Azure/Databricks) | SR (Remote)
Build and maintain scalable data pipelines using Azure Databricks, Data Factory, ADLS, and Python to ingest, transform, and serve high-quality data for analytics and AI workloads.
Senior Generative AI & Data Analyst | (Hybrid/SP)
Design and build generative AI solutions, automate workflows with low-code/no-code tools, and maintain data pipelines to support analytics and AI applications.
Data Scientist
Build and deploy ML models to predict delivery dates, detect failures, and optimize logistics for 50M+ monthly shipments using Python, Spark, and cloud platforms.
Senior Data Engineer
Senior Data Engineer to migrate a large retail analytics platform from BigQuery to Databricks, building scalable Lakehouse pipelines with PySpark, Delta Lake, and Unity Catalog.
Hybrid Snowflake Data Engineer Lead - Python & CI/CD
Leads Snowflake data estate, builds Python ETL pipelines, and implements CI/CD with GitHub Actions in a hybrid role.
Software Engineer, Lakehouse (Data Platform Group)
Build and optimize Cato’s petabyte-scale data lakehouse: design schemas, tune Spark jobs, and run ClickHouse/EMR to serve low-latency analytics for the entire company.
Senior Data Engineer: Scalable ETL Pipelines & Cloud
Designs and builds scalable ETL/ELT pipelines and cloud data warehouses to process large data volumes, ensuring data quality and observability.
Data Engineer | FCU Technology Team
Build and maintain scalable data pipelines and platforms using Databricks, Spark, Delta Lake, and Azure to support analytics and Anti Financial Crime solutions for global PwC clients.
Software Development Engineer - I (Data)
Builds and scales data pipelines on Databricks for a leading entertainment ticketing and streaming platform, operationalizing ML models and ensuring data quality and governance.
Azure Data Engineer – Moderni dataratkaisut
Builds and maintains Azure-based data pipelines and warehouses using ELT/ETL, Lakehouse, and Data Vault 2.0/2.1 models with Microsoft Fabric, Power BI, and Synapse.
Platform Engineer - AI & Data Platform 50-60k
Build and maintain enterprise-scale AI and data platforms, automating operations with cloud and MLOps tools like Kubernetes, Terraform, and Jenkins.
Platform Engineer (AI / Data Platform, 30-40K)
Build and maintain the AI platform and data lakehouse, automating operations and deploying services using Python, Kubernetes, and MLOps tools.
Senior Data Engineer
Build and maintain scalable data pipelines and cloud-based data warehouses in Azure using Databricks, PySpark, SQL, and ETL tools to enable data-driven decision-making across the organization.
Senior Data Engineer
Build and maintain scalable data pipelines and lakehouse architectures to power analytics and AI use cases for a digital-banking platform.
hands-on Senior Data Engineer
Senior Data Engineer builds and scales a cloud-native AI platform using Python, AWS, and Terraform, designing secure data pipelines and lakehouse architecture for enterprise GenAI applications.
Data Analyst (Gamification CVM)
Data Analyst builds and tests gamified customer engagement models for a retail group’s app, using SQL, Python, and A/B testing to drive retention and loyalty through personalized quests and rewards.