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JobbörseOffen

Data Engineer

Vertraulich · London, United Kingdom · Hybrid · Senior

  • London, United Kingdom · Hybrid

Indexiert (vor 12 Tagen) · laufend aktualisiert

Start
flexible
Arbeitsmodell
Hybrid
Vertrag
Freelance / B2B
Erfahrungslevel
Senior
Referenz
128765

Jobbeschreibung

Project overview

Data Engineer – Contract Position – HIRING ASAP

Responsibilities

Key Skills

Top 3 Skills

Bonus Skills

  • Build, maintain, and optimize ETL/ELT data pipelines and data models to support reporting and analytics use cases
  • Write, troubleshoot, and optimize SQL queries for data extraction, transformation, validation, and performance
  • Develop and maintain reporting datasets and documentation to improve data reliability and usability
  • Partner with internal stakeholders to understand requirements and translate them into well-defined data solutions
  • Implement data quality checks and monitoring to ensure accuracy, completeness, and timeliness of data outputs
  • Support ad hoc data analyses and investigate data issues as needed
  • 4+ years of experience as a Data Engineer, BI Engineer, or Analyst in a product- or service-based company
  • 2+ years of experience working with SQL, ETL, and reporting (including building or supporting production data pipelines)
  • Experience in at least one programming language (e.g., Python or C++)
  • Experience working with structured datasets, data modeling concepts, and analytics/reporting workflows
  • Strong communication skills, including the ability to document processes and explain technical concepts clearly
  • SQL
  • Python
  • AI Usage
  • Visualization/Dashboard Development
  • Data Logging
  • Past experience working for a product-based tech company

Project details

Hybrid working in London office

Start Date: ASAP

7-month contract

£250 - £350 per day PAYE (Negotiable)

Summary

We are seeking a temporary Data Engineer to support data pipelines, reporting, and analytics needs across cross-functional stakeholders. In this role, you will help design, build, and maintain scalable datasets and data processes that enable reliable metrics, dashboards, and business insights.

  • Start: flexible
  • Location: London, United Kingdom, GB

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