KPMG UK

Lead Data Engineer

KPMG UK

full-time

Posted on:

Location Type: Hybrid

Location: London • United Kingdom

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Job Level

Senior

Tech Stack

AzureCloudETLPythonSQL

About the role

  • Collaborate with Enterprise Data Architects and Data engineers’ firm wide to align to best practice and the firms Data management policies.
  • Build and maintain a cloud-based data warehouse consisting of information pools from several systems.
  • Assist our data analysts and development leads in creating dashboards and reports to provide insight to clients.
  • Develop data Integrations using Azure analysis services and APIs.
  • Integrate data points between Tax Systems and external/client applications.
  • Design and build systems for use across multi-cloud platforms.
  • Create data- sources to be used by Business Intelligence tools.
  • Working on data integration, data quality, data mining and ETL processes.
  • Be a technical owner of our data platforms and tools.

Requirements

  • Proven experience working as a Lead Data Engineer
  • Experience creating logical data models, preferably within the financial services sector
  • Strong problem-solving skills with the ability to logically analyse complex requirements, processes and systems to put solutions in place.
  • Exceptional SQL programming skills.
  • Hands-on experience working in a DevOps environment.
  • Experience of Data modelling, data warehouse design, data lake concepts and practices.
  • Excellent people skills, able to engage with a wide range of stakeholders at all levels.
  • Skills we’d love to see/Amazing Extras: Experience of the Azure data platform, especially Data Factory, Data Lake and SQL Data Warehousing (Synapse) and the Common Data Service. Experience working within data governance and compliance frameworks. Experienced in using SQL Server 2017 and SQL Azure. Previously used Qliksense, PowerBI or equivalent visualisation tools. Python programming skills.
Benefits
  • clear career progression
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLPythondata integrationdata qualitydata miningETLdata modelingdata warehouse designdata lakeDevOps
Soft Skills
problem-solvinganalytical skillsstakeholder engagementcommunication