Data Engineer

Clayton
Manchester, United Kingdom
10 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Manchester, United Kingdom

Tech stack

Google BigQuery
Customer Data Management
Data Deduplication
Information Engineering
Data Governance
Data Masking
Data Transformation
Disaster Recovery
Python
Tableau
Google Cloud Platform
Build Management
Gsuite
Looker Analytics
Data Pipelines

Job description

My client are a well knwon organsation just outside Manchester looking for a contract Data Engineer. You will review and improve a live Google Cloud data platform. You will lead ingestion, transformation, quality, and reporting enablement. You will work with data colleagues on shared standards and delivery.

Key Responsibilities

  • Review the central data platform architecture, pipelines, and code standards

  • Improve scalability, performance, monitoring, and disaster recovery

  • Audit all data sources across the business

  • Build secure ingestion pipelines for new sources

  • Design and build reporting tables for business dashboards

  • Support Looker dashboard development

  • Define and implement a single customer view

  • Build automated matching, deduplication, and cleansing pipelines

  • Embed automated data quality checks across all pipelines

  • Implement monitoring and alerting for data failures and anomalies

  • Apply GDPR, encryption, access control, and data masking standards

  • Run regular status check-ins with internal data colleagues

  • Own data definitions, glossary, and metric governance

  • Transform data using Python as the core language

  • Load processed data into GCP test and production environments

  • Provide access to data via Tableau, Google Sheets, and Python scripts

  • Produce full documentation and an entity diagram

Requirements

  • Strong hands-on Data Engineering experience

  • Advanced Python for data transformation

  • Google Cloud Platform production experience

  • Data pipeline design and optimisation

  • Data quality automation and monitoring

  • Customer data and identity matching

  • GDPR and data governance delivery

  • Stakeholder communication in agile teams

  • Looker or Tableau exposure

  • BigQuery data modelling

  • Experience building single customer views

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