One of our global client is looking for a Data Engineer based in London/Hybrid.
Job Title: Data Engineer
Location: London- 3 days to office
Duration: 7 months
Job Description
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
Minimum Requirements
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
If you are available and interested, please reply back with your latest CV, best number and time to reach and discuss more about this role.
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Data Engineer II employer: Harvey Nash Careers
As a Lead Architect, you will join a forward-thinking organisation at the heart of the UK's critical infrastructure transformation. With a strong focus on employee development, competitive benefits including a robust pension and medical coverage, and a collaborative work culture, this role offers a unique opportunity to make a meaningful impact while advancing your career in a dynamic environment. Located in North East England or Yorkshire, you'll be part of a team that values innovation and excellence, driving significant change across essential services.
