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Venturi

Senior Data Engineer – Entity Resolution

London
£60 – £70/hr
Posted about 23 hours ago
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Senior Data Engineer – Entity Resolution

£550–£650 per day | Inside IR35 | London | Hybrid, 2 days onsite per week

We are looking for a Senior Data Engineer specialising in Entity Resolution and Data Matching to support a major UK Government programme.

This is a senior, hands-on role focused on designing and delivering complex data-matching solutions across large and sensitive datasets. You will work with modern data engineering technologies including Python, PySpark, Apache Spark, AWS and Databricks, while applying advanced matching techniques to improve the accuracy, quality and usability of data.

You’ll be working on complex problems involving record linkage, identity matching, deduplication and probabilistic matching, so we’re looking for someone who combines strong Data Engineering capability with genuine Entity Resolution expertise.

Key experience

  • Strong commercial experience in Entity Resolution, Data Matching or Record Linkage
  • Experience designing deterministic, probabilistic and fuzzy matching solutions
  • Strong understanding of matching rules, blocking strategies, thresholds and confidence scoring
  • Experience analysing and reducing false positives and false negatives
  • Advanced Python, PySpark and SQL
  • Strong hands-on experience with Apache Spark
  • Experience working with large-scale data platforms using AWS EMR and/or Databricks
  • AWS experience across technologies such as S3, Glue and Athena
  • Strong Data Quality experience including profiling, cleansing, standardisation and deduplication
  • Experience working with complex, incomplete or inconsistent datasets
  • Good understanding of Data Governance, lineage, metadata, auditability and privacy
  • Experience providing technical leadership, assurance and peer review

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PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Highly desirable

  • Splink experience
  • Quantexa or another Entity Resolution platform
  • Experience developing reusable probabilistic matching frameworks
  • UK Government or Central Government experience
  • Previous Home Office, HMRC, DWP, ONS, NHS or similar public-sector experience
  • Experience working with population or administrative datasets
  • Experience matching personal identifiers such as National Insurance Numbers
  • Strong knowledge of Data Quality frameworks and governance controls
  • Experience working with sensitive personal data in highly regulated environments

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The role

You will help define and implement robust matching methodologies, develop scalable data-processing solutions and provide technical assurance around how records and entities are linked. You should be comfortable explaining why records have been matched, how match confidence has been calculated and how the solution has been validated. This is not simply an ETL/Data Engineering role. Strong Entity Resolution or Data Matching experience is essential.

Location

London

Working pattern

Hybrid, approximately 2 days onsite per week

Rate

£550 per day

IR35

Inside IR35

If you have strong Data Engineering + Entity Resolution / Record Linkage experience and are interested in a major UK Government programme, please apply with your latest CV.

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Skills

Entity Resolution
Data Matching
Python
PySpark
Apache Spark
AWS
Databricks
SQL
Record Linkage
Probabilistic Matching
Data Quality
Data Governance
AWS EMR
AWS Glue
AWS Athena
Splink

Location

London, England, United Kingdom

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