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

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• Tackle technical debt by modernizing outdated code and improving efficiency within the data stack.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.