Data Engineer

TrueNorth®; London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A leading consulting firm in London is seeking 4 Data Engineers to work on government projects. Ideal candidates will have significant experience in data platforms and ETL solutions. Required qualifications include living in the UK for 5 years with full work rights, a clear criminal record, and an ability to handle sensitive data. The role follows a hybrid model, requiring onsite work 3 days a week.

Qualifications

• Living permanently in the UK for the past 5 years and has full rights to work.
• Clean criminal record history.
• Cannot sponsor VISAs or allow remote workers from outside the UK.
• Experience handling sensitive/confidential data.
• Experience in consulting.

Responsibilities

• Develop and maintain data platforms and ETL solutions.
• Apply DataOps principles throughout the data lifecycle.
• Write tests and implement QA processes.
• Work with sensitive/confidential data.
• Collaborate in a consulting role.

Skills

Development and maintenance of data platforms and ETL solutions

Knowledge of all stages of the data lifecycle

Writing tests and QA

Experience in working with sensitive/confidential data

Experience in consulting

Job description

This range is provided by TrueNorth. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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Overview

Building High-Performing AI/ML & Data Science Teams | TrueNorth

I'm looking for 4 Data Engineers, to work for a consulting client of mine based in London.

Hybrid: 3 days per week onsite ideally - however the client is open to remote candidates.

These roles will involve working on projects for Government agencies, and therefore candidates are required to undergo SC Clearance.

Requirements / Eligibility

• Living permanently in the UK for the past 5 years with full rights to work.
• Clean criminal record history.
• We cannot sponsor VISA's or allow remote workers from outside of the UK for this role.

Skills & Responsibilities

• Development and maintenance of data platforms and ETL solutions.
• Knowledge of all stages of the data lifecycle, and applying DataOps principles.
• Writing tests and QA
• Experience in working with sensitive/confidential data.
• Experience in consulting.

Seniority

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• Staffing and Recruiting

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Location & posting notes

London, England, United Kingdom