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Temporary/CasualTechnology

Data Engineers / Data Architecture

Opus Recruitment SolutionsCity, London🇬🇧United Kingdom

Why this role stands out

This hybrid role offers a fantastic opportunity to grow your career towards data architecture, working on impactful, large-scale data initiatives and shaping modern data platforms. You'll thrive here if you're a motivated data professional eager to collaborate with diverse teams and stakeholders to drive digital transformation. Apply now to develop your skills and contribute to cutting-edge data solutions!

Quick overview

SeniorityMid Senior
Employment typeTemporary/Casual
Work modeHybrid
LocationCity, London, United Kingdom
Stakeholder ManagementAgileData Analysis

Job description

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.

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