Data Engineer

The Trust

City Of London

On-site

GBP 60,000 - 90,000

Full time

3 days ago
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Job summary

The Trust is seeking a temporary Data Engineer to design, build, and maintain scalable data pipelines, datasets, and reporting solutions to support cross-functional stakeholders. This role focuses on reliable metrics, dashboards, and insights across the business.

You will optimize SQL queries, develop data models, and ensure data quality while collaborating with product and analytics teams to translate requirements into robust data solutions.

Qualifications

  • 4+ years as Data Engineer/BI Engineer/Analyst in a product- or service-based company.
  • 2+ years of experience with SQL, ETL, and reporting (including production data pipelines).
  • Experience in at least one programming language (Python or C++).
  • Experience with structured datasets, data modeling concepts, and analytics/reporting workflows.
  • Strong communication skills to document processes and explain technical concepts clearly.

Responsibilities

  • 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

Skills

SQL
Python
Data modeling
ETL/ELT
Communication

Job description

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.

Responsibilities
  • 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
Key Skills
  • 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
Top 3 Skills
  • SQL
  • Python
  • AI Usage
  • Visualization/Dashboard Development
Bonus Skills
  • Data Logging
  • Past experience working for a product-based tech company
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