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Data Engineers​/Data Architecture

Job in London, Greater London, W1B, England, UK
Listing for: Opus Recruitment Solutions
Full Time position
Listed on 2026-10-12
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60000 - 65000 GBP Yearly GBP 60000.00 65000.00 YEAR
Job Description & How to Apply Below
Position: Data Engineers / Data Architecture
About the Role We are seeking talented and motivated data professionals with experience in Data Engineering, Data Analysis, or Data Science who are looking to further develop their careers towards Data Architecture.

This role offers the opportunity to work on large-scale, business-critical data initiatives, helping organisations design, build, and optimise modern data platforms and solutions.
You will collaborate with technical teams, business stakeholders, and customers to deliver high-quality data solutions that enable informed decision-making and drive digital transformation.

Key Responsibilities
Design, develop, and maintain scalable data pipelines and data platforms.
Support the architecture, implementation, and optimisation of modern data solutions.
Create and maintain logical and physical data models.
Ensure data quality, governance, and best practices are embedded throughout the data lifecycle.
Work closely with stakeholders to understand business requirements and translate them into technical solutions.
Contribute to data strategy, architecture discussions, and technology recommendations.
Support the delivery of cloud-based and enterprise-scale data solutions.
Collaborate with cross-functional teams in agile delivery environments.

Required Skills & Experience
3-5 years of experience in Data Engineering, Data Analysis, Data Science, or a related data-focused role.
Knowledge of data architecture principles and modern data platforms.

Experience with data modelling techniques and methodologies.
Strong analytical and problem-solving skills.
Excellent communication and stakeholder management abilities.
Experience working with large datasets and data transformation processes.
Ability to engage effectively with both technical and non-technical audiences
Additional Information / Benefits
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