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lavori da Data Engineer in località Regno Unito

Manager (Quantexa) Snr Data Engineer

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GBP 70.000 - 90.000
19 giorni fa
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Manager (Quantexa) Snr Data Engineer
KPMG United Kingdom
Birmingham
Ibrido
GBP 70.000 - 90.000
Tempo pieno
19 giorni fa

Descrizione del lavoro

A leading consultancy firm in the UK is looking for a Senior Data Engineer to lead the development of Quantexa-based solutions. The role involves designing and implementing robust data pipelines and collaborating with various teams to deliver solutions. Candidates should have experience in data engineering, Quantexa certification, and strong technical skills in Scala and Python. This role offers flexibility in working location, including remote options.

Servizi

Flexible hours
Part-time options
Opportunity to work from home

Competenze

  • Quantexa Technical Certification is required.
  • Demonstrable experience in leading client data engineering and integration projects for major clients.
  • Hands-on experience of designing and implementing Quantexa solutions for clients.

Mansioni

  • Develop and optimise data ingestion pipelines and transformations within the Quantexa platform.
  • Configure and implement Quantexa components to support specific use cases.
  • Collaborate with Tech Leads and Solution Architects to design scalable Quantexa solutions.

Conoscenze

Data ingestion
Transformation
Contextual data modelling
Quantexa solutions
Scala
Python
Databricks

Formazione

Bachelor's or master's degree in computer science, Data Engineering, or related technical field

Strumenti

Docker
Kubernetes
Jenkins
GitHub Actions
Azure DevOps
Descrizione del lavoro

Job title/Req Number: (Quantexa) Snr Data Engineer(107841)

Base Location: London plus network of 20 offices nationally: www.kpmg88careers.co.uk/experienced-professional/#LeBlender.OfficeLocations

The KPMG Data Engineering function is a cornerstone of our business. We do work that matters to our local business and communities - supporting technical innovation and adoption of cutting-edge solutions across the UK. Working on complex engagements in Quantexa solutions this team is responsible for the delivery of cutting-edge technical solutions and trusted to get it right first time.

KPMG is one of the world's largest and most respected consultancy businesses, we've supported the UK through times of war and peace, prosperity and recession, political and regulatory upheaval. We've proudly stood beside the institutions and businesses which make the UK what it is.

Why Join KPMG

As a Senior Data Engineer, you will lead the technical development of Quantexa-based solutions, bringing deep hands-on experience with data ingestion, transformation, and contextual data modelling. You will collaborate closely with Quantexa Architects, Tech Leads, and client stakeholders to deliver high-quality solutions that address complex business challenges.

You will play a critical role in designing and implementing robust data pipelines, configuring Quantexa components, and supporting the overall success of client engagements.

What will you be doing?

  • Develop and optimise data ingestion pipelines and transformations within the Quantexa platform using Spark and Scala.
  • Configure and implement Quantexa components such as Entity Resolution, Scoring, and Network Generation to support specific use cases.
  • Collaborate with Tech Leads and Solution Architects to design scalable and performant Quantexa solutions.
  • Translate business and technical requirements into efficient, production-ready data engineering solutions.
  • Support the integration of Quantexa into broader enterprise data architectures, working closely with cloud, security, and DevOps teams.

What will you need to do it?

  • Quantexa Technical Certification is required.
  • Demonstrable experience in leading client data engineering and integration projects for major clients
  • Hands-on experience of designing and implementing Quantexa solutions for clients.
  • Technical excellence in Scala, Python and Databricks

Skills we'd love to see/Amazing Extras:

  • Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains.
  • Exposure to DevOps and CI/CD pipelines, including tools such as Jenkins, GitHub Actions, or Azure DevOps.
  • Familiarity with containerisation technologies like Docker and Kubernetes.
  • Understanding of data governance, data quality frameworks, and enterprise data security standards.
  • Bachelor's or master's degree in computer science, Data Engineering, or related technical field.

To discuss this or wider Technology roles with our recruitment team, all you need to do is apply, create a profile, upload your CV and begin to make your mark with KPMG.

Our Locations:

  • Birmingham
  • Leeds
  • London Canary Wharf
  • Manchester

This position will largely be based from London.

With 20 sites across the UK, we can potentially facilitate office work, working from home, flexible hours, and part-time options. If you have a need for flexibility, please register and discuss this with our team.

Find out more:

  • Technology and Engineering at KPMG: www.kpmgcareers.co.uk/experienced-professional/technology-engineering/
  • ITs Her Future Women in Tech programme: www.kpmgcareers.co.uk/people-culture/it-s-her-future/
  • KPMG Workability and Disability confidence: www.kpmgcareers.co.uk/experienced-professional/applying-to-kpmg/need-support-let-us-know/

For any additional support in applying, please click the links to find out more:

  • Applying to KPMG: www.kpmgcareers.co.uk/experienced-professional/applying-to-kpmg/
  • Tips for interview: www.kpmgcareers.co.uk/experienced-professional/applying-to-kpmg/application-advice/
  • KPMG values: www.kpmgcareers.co.uk/experienced-professional/applying-to-kpmg/our-values/
  • KPMG Competencies: www.kpmgcareers.co.uk/experienced-professional/applying-to-kpmg/kpmg-competencies/
  • KPMG Locations and FAQ: www.kpmgcareers.co.uk/faq/?category=Experienced+professionals
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* Il benchmark retributivo si basa sugli obiettivi retributivi dei leader del mercato nei rispettivi settori. È pensato per orientare gli utenti Premium nella valutazione delle posizioni aperte e aiutarli a negoziare la propria retribuzione. Tale benchmark non è fornito direttamente dall'azienda, quindi la retribuzione effettiva potrà risultare anche notevolmente superiore o inferiore.

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