Senior Quantexa Data Engineer

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.

• 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.