Data Engineer - SQL - Remote

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. 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). ~ 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 Tackle technical debt by modernizing outdated code and improving efficiency within the data stack.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. Fluent in English; additional language skills are a plus. 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.