Data Analyst

Test Triangle Ltd

Greater London

On-site

GBP 70,000 - 95,000

Full time

14 days+

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Job summary

Zohorecruit in London is looking for a data engineer to help shape our analytics platform. You’ll provide technical input on data platforms, design and support data pipelines, and enable enterprise querying.

You will implement ETL across databases and systems (with hands-on GCP), build reusable data assets, ensure data quality, and collaborate with data wranglers and scientists to deliver timely insights.

Responsibilities

  • Provide technical input on data platforms / consumption engines and emerging technologies to enhance analytics and derived datasets
  • Design,build and support data pipelines to acquire, aggregate, refine andsecurely move data from source to target
  • Developand maintain data assets to enable enterprise querying and analytics.
  • Managedatasets to support feature engineering, APIs and ingestion processes
  • Build,publish and maintain reusable data assets for real-time and analyticalconsumption
  • Design,implement and document data architecture and data models (conceptual /logical / physical)
  • Implementdata integration using ETL and other data tools across databases, systemsand platforms - preferably hands on GCP experience
  • Setup data quality checks, monitoring and alerting for analytics data flows
  • Collaboratewith data wranglers, data scientists and technical / development teams

Skills

Data engineering
ETL
GCP

Tools

BigQuery
Airflow
SQL

Job description

Deliver
No.
Performance Parameter
Measure
  • 1.

    Demand generation

    Order booking

  • 2.

    Revenue generation through delivery

    Timeliness, customer success stories, customer usecases

  • 3.

    Capability Building & Team Management

    % trained on new skills, Team attrition %

London, United Kingdom | Posted on 09/24/2026

  • Providetechnical input on data platforms / consumption engines and emergingtechnologies to enhance analytics and derived datasets
  • Design,build and support data pipelines to acquire, aggregate, refine andsecurely move data from source to target
  • Developand maintain data assets to enable enterprise querying and analytics.
  • Managedatasets to support feature engineering, APIs and ingestion processes
  • Build,publish and maintain reusable data assets for real-time and analyticalconsumption
  • Design,implement and document data architecture and data models (conceptual /logical / physical)
  • Implementdata integration using ETL and other data tools across databases, systemsand platforms - preferably hands on GCP experience
  • Setup data quality checks, monitoring and alerting for analytics data flows
  • Collaboratewith data wranglers, data scientists and technical / development teams
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