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

JR United Kingdom; Greater Manchester; Remote; GBP 80,000; Full time

Job summary

Join a forward-thinking global tech company as a Data Engineer in a fully remote role. You will spearhead the development of a cutting-edge data platform, working on exciting projects that drive innovation. This position offers significant potential for professional growth, allowing you to shape the future of data solutions while collaborating with diverse teams. Enjoy the flexibility of remote work with occasional visits to the London office. If you are a proactive problem solver with a passion for data engineering, this opportunity is perfect for you.

Benefits

Fully remote work

Professional growth opportunities

Diversity and inclusion initiatives

High-impact projects with latest technologies

Qualifications

• 3-5 years of experience in Data Engineering or analytics engineering.
• Proficiency in SQL for data transformation and manipulation.

Responsibilities

• Design, develop, and optimize scalable ELT pipelines.
• Build and maintain a robust Data Platform using tools like Airbyte, dbt, and Snowflake.

Skills

Data Engineering

SQL

Airbyte

dbt

Snowflake

AWS

Python

PowerBI

GitHub

Job description

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

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Client:

Opus Recruitment Solutions

Location:

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

9

Posted:

08.05.2025

Expiry Date:

22.06.2025

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Job Description:

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
• 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.