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Senior Data Engineer (Quantexa) 

Location: London (Hybrid, 2 days in Office per week)
Duration: 6 months + 
Rate: Up to £650 per day (Inside IR35)

Opus have partnered with a Globally Renowned Data & AI consultancy who're searching for a Quantexa contractor to help with the delivery of market-leading big data driven transformation programmes. 

You'll be joining a high-performing team led by experienced data and AI practitioners who work across solution architecture, advanced analytics, cloud transformation, and multi-million-pound client engagements.

Key Responsibilities:
Design and build scalable big data pipelines using Quantexa Develop and optimise ETL/ELT processes for high-volume, complex datasets.Deliver entity resolution and network analytics solutions using Quantexa.Integrate data from multiple structured and unstructured sources across enterprise platforms.Build data solutions within cloud-native environments (GCP, AWS, Azure).Ensure data quality, governance, lineage, and security standards are met, supporting solution design for large-scale data transformation programmes.Essential Skills
MUST HAVE: Strong hands-on experience with Quantexa implementation and development.Proven experience building and supporting big data platforms.Advanced knowledge of Apache Spark / PySpark.Strong programming skills in Scala and/or Python.Expertise in SQL and large-scale data modelling.Strong cloud experience across GCP, AWS, or Azure.Experience with Databricks, Snowflake, or Hadoop ecosystems.Knowledge of data ingestion, ETL/ELT frameworks, and batch/real-time processing. 
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