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Senior Data Engineer: Data Platform & AI
Senior Data Engineer builds and maintains scalable data pipelines and a semantic layer to power BI, AI, and operations across 60+ brands.
Senior DevOps Engineer | PGIM Ireland
Build and maintain scalable CI/CD pipelines and cloud infrastructure for a financial services firm using AWS, Azure, Terraform, and GitHub Actions to support portfolio management, compliance, and data governance teams.
Senior Data Engineer: End-to-End Data Solutions (Hybrid, Helsinki)
Senior Data Engineer builds and maintains scalable data pipelines and warehouses for a large bank, using SQL, Python, Snowflake, dbt, and Airflow.
Senior IT Developer - Data Engineer
Build and own end-to-end data pipelines and warehouses for banking risk systems using SQL, Python, Oracle, Snowflake, dbt and Airflow.
Senior Data Engineer - (Talent Pool / Future Opportunities)
Build and maintain robust data pipelines, implement automated quality checks, and ensure reliable data flows for enterprise clients using Python/TypeScript, SQL, and AWS.
Senior Data Engineer
Design and build scalable data pipelines and infrastructure using SQL, Python, Databricks, dbt, and AWS Redshift to enable production-ready analytics and AI solutions.
Data Engineer
Builds and maintains ETL pipelines to ingest, normalize, and standardize real estate data for reporting, mapping, and visualization tools used in consumer- and agent-facing products.
Data Engineer
Build and maintain scalable data pipelines and cloud infrastructure in GCP to support analytics, ML, and real-time personalization at a large retail company.
Databricks Platform Engineer
Own and optimize BrokerLink’s Azure Databricks platform, automate deployments with Terraform and Azure DevOps, and integrate with Power BI and downstream analytics tools.
ML Platform Engineer – Google Cloud (GCP) and Vertex AI
Build and automate ML pipelines on Google Cloud using Vertex AI, TensorFlow, and Kubernetes to deploy scalable AI models with CI/CD and monitoring.
Data Scientist - Data Analytics and Infrastructure
Build and tune data pipelines, design schemas, and analyze marketing/social/finance data to drive business decisions using Python, SQL, and Snowflake.
Lead Data Engineer
Lead a team to build and maintain scalable data pipelines, feature stores, and MLOps workflows for AI-driven credit underwriting at a major bank, using Python, PySpark, and cloud platforms.
Data Analytics & Engineering Intern, Performance Analytics
Build and maintain data pipelines, analytics engines, and visualization tools to track financial performance using Python, SQL, and cloud infrastructure.
Senior Analytics & Data Engineering Specialist
Design and implement data pipelines, integrate datasets, and build dashboards using SQL, Python, PySpark, and ETL tools to deliver analytics solutions.
Senior Data Engineer: Automate & Scale AI Pipelines on AWS
Design and maintain scalable data pipelines for AI workloads on AWS and Databricks, automating ETL/ELT workflows and optimizing lakehouse/warehouse architectures.
Databricks Data Engineer — Cloud Platform & ML Ops
Build and migrate ETL pipelines to Databricks Delta Lake, integrate healthcare data systems, and support real-time analytics for clinical monitoring.
Senior Data Engineer: Cloud Pipelines & Data Governance
Senior Data Engineer builds and maintains scalable cloud data pipelines across AWS, Azure, and GCP, focusing on ETL, data quality, governance, and warehouse access for an HR agency.
Reporting & Analytics Developer / Data Engineer
Build and maintain data pipelines, ETL jobs, and reporting dashboards using Cloudera, SQL, Python, PySpark, and Tableau.
Senior Data Engineer – Engineering
Builds and maintains scalable data pipelines, warehouses, and APIs to extract, transform, and integrate data across systems, ensuring accuracy and compliance while collaborating with cross-functional teams in an Agile environment.
Senior Big Data Engineer - Real-Time & ETL Systems
Designs and maintains large-scale data systems using Teradata, Oracle, Hadoop, Kafka, DBT, and Talend for ETL and real-time processing.