Senior Quantexa Data Engineer

Opus Recruitment Solutions Ltd; City Of London; Hybrid; GBP 72,000 - 120,000; Full time

Job summary

Opus Recruitment Solutions Ltd is seeking a Senior Data Engineer with strong Quantexa experience for a London-based hybrid contract role. You will design and deliver scalable big data pipelines, enable entity resolution and network analytics, and integrate data across varied sources in cloud environments.

You will work with a high-caliber team on large-scale transformations, ensuring data quality, governance, and security while contributing to multi-million-pound client engagements.

Qualifications

• 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.

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.

Skills

Quantexa

Big data platforms

Apache Spark / PySpark

Scala

Python

SQL

Cloud (GCP, AWS, Azure)

Databricks

Snowflake

Hadoop ecosystems

Data ingestion / ETL-ELT

Tools

Databricks

Snowflake

Hadoop

Job description

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.

Applications are now open.