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Data Engineer - Remote - Global Tech Company - £80,000 - Snowflake/ DBT/ SQL/ Airbyte

Opus Recruitment Solutions
London
2 months ago
Applications closed

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Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

I am representing a global tech company driven by innovation, who are looking for a talented Data Engineer to join their cutting-edge team. This is a FULLY REMOTE role but will require you to be available to travel occasionally to their London office.


You will work on a very exciting and innovate list of projects for the business and really spearhead a new data platform being built.


They are looking for intelligent, self motivated & resourceful problem solvers! Someome who can figure out a problem and work through the best solution.


What We're Looking For:


  • 3-5 years of experience in Data Engineering or analytics engineering, with a track record of building and optimizing complex pipelines in big data environments.
  • Proficiency in SQL for data transformation and manipulation + some Python is a plus
  • Strong knowledge of modern data stack tools, including Airbyte, dbt (MUST HAVE), Snowflake, and cloud platforms like AWS.
  • Familiarity with data modelling concepts and warehousing best practices, including dimensional modelling.
  • Experience delivering data solutions using software engineering principles, including version control (GitHub).
  • A proactive approach to problem-solving, with the ability to identify optimization opportunities and drive continuous improvement.
  • PowerBI
  • Azure Datalakes
  • Github/ Version Control


What You'll Do:


  • Design, develop, and optimize scalable ELT pipelines, ensuring reliable data delivery from diverse sources such as APIs, transactional databases, file-based endpoints, and S3 buckets.
  • Build and maintain a robust Data Platform using tools like Airbyte, dbt, and Snowflake.
  • Collaborate with product and regional teams to design data models and workflows that drive decision-making and analytics across the company.
  • Mentor junior team members and champion best practices in data engineering, including code reviews, testing, and pipeline orchestration.
  • Tackle technical debt by modernizing outdated code and improving efficiency within the data stack.
  • Implement data governance policies, including standards for data quality, access controls, and classification.


Abilities:


  • Positive and solution-finding attitude when faced with challenges, confidence to perform own role without unnecessary support in normal circumstances.
  • Independent, a quick learner, and comfortable taking on responsibility.
  • Strong communication and interpersonal skills, aligned with company values.
  • Fluent in English; additional language skills are a plus.


What We Offer:

  • Work in a dynamic, international company with significant potential for fast professional growth and personal development.
  • Embrace a fully remote culture: Work from anywhere, with occasional visits to our London office once or twice a quarter.
  • Shape a brand new Data and Dashboard team and contribute to building a cutting-edge Data Platform.
  • Join an organization that prioritizes diversity, inclusion, and equity, fostering a supportive workplace culture.
  • Work on high-impact projects with the latest technologies in data and analytics.
National AI Awards 2025

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