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Senior Software Engineer, Identity & Access Discovery
Build and maintain a Python-based discovery engine that identifies privileged accounts and infrastructure across AD, cloud IAM, and databases, while ensuring zero-knowledge encryption and resilience in customer environments.
Personalisation Manager
Who We Are WPP Enterprise Solutions designs, builds, and operates the growth systems that competitive businesses rely on. In a world where Al is reshaping how companies drive growth, we lead clients in business…
Senior Data Engineer
Builds and maintains scalable data pipelines, optimizes storage/retrieval systems, and collaborates with teams to integrate data solutions using Python, SQL, and cloud infrastructure.
Data Engineer
Data Engineer designing, building, and maintaining scalable data pipelines and infrastructure to support analytics and business decision-making, using Python, SQL, ETL processes, and cloud data warehouses.
Analytics Engineer
Design and optimize SQL-based datamarts and data pipelines on cloud platforms like Snowflake, BigQuery, or Redshift to power business intelligence in an agency setting.
Senior Analytics Engineer
Build and maintain trusted, well-modeled datasets in BigQuery using dbt to power analytics and ML across a fintech platform, ensuring data correctness and collaborating with engineers and stakeholders.
Data Scientist
Data Scientist developing ML algorithms and statistical models on sensor and healthcare data to support clinical decision-making and early detection, using Python, C++, and cloud infrastructure.
Senior Databricks Data Engineer
Senior Data Engineer designing and implementing Databricks-based data processing solutions, building Python data pipelines, and ensuring scalability across major cloud platforms (AWS/Azure/GCP).
Senior Data Engineer
Senior Data Engineer migrating a legacy Netezza environment to Databricks, building scalable batch and streaming data pipelines with PySpark to modernize a customer-facing retail data platform.
Data Platform Engineer (Streaming)
Builds and operates real-time data pipelines and streaming platforms using Kafka, Flink, and CDC tools to process high-volume logs and transactions for Toss Bank.
ML Engineer (Data Pipeline)
Designs, builds, and operates scalable data pipelines for AI/ML products in banking, ensuring reliable batch processing, feature engineering, and model inference workflows using distributed systems like Spark and Airflow.