Senior Data Engineer

Are you a passionate data engineer looking to join a team of trailblazers and build the future of data infrastructure for e-commerce businesses?

My client is a world-renowned company with a cutting-edge platform that empowers e-commerce businesses to thrive while reducing their environmental impact. They're looking for a data engineer to join their team and help them build the future of sustainable data processing.

This is your chance to be a part of something truly special and make a real difference in the world. Apply today!

Key Responsibilities:

• Data Integration: Devise and execute strategies to seamlessly integrate data from diverse sources into our advanced data warehouse.
• Architectural Advancement: Elevate and scale our contemporary data stack architecture to accommodate business expansion and incorporate emerging technologies.
• Cloud Optimisation: Spearheaded efficient cloud service usage and cost management strategies.
• Data Excellence: Deliver excellent data products and services, embracing an Agile methodology.
• Collaboration: Collaborate seamlessly with data scientists, analysts, and stakeholders to surpass data expectations.
• AI Facilitator: Play a crucial role in grasping the landscape of generative AI trends and implementing innovative AI and machine learning initiatives.

Who You Are:

• Education: Hold a degree in computer science/engineering, informatics, mathematics, or a related field.
• Experience: Possess a proven track record of 8 years+, of successfully implementing data lakes and pipelines within cloud environments.
• Project Management: Successfully manage multiple projects while adhering to deadlines.
• Coding Prowess: Display exceptional proficiency in Python and an additional programming language, with demonstrated experience building applications from scratch.
• Innovation Driver: Skilled in software application development, particularly in Python and another language such as Golang.
• Cloud Proficiency: Familiarity with cloud data warehouses such as BigQuery and Snowflake, alongside proficiency in BI reporting tools like Looker, Power BI, and Tableau.
• Data Governance Advocate: Contribute to the design and implementation of data governance and quality concepts.
• Architectural Insight: Possess a strong grasp of software architecture and design principles.
• SQL Mastery: Showcase advanced SQL proficiency and the ability to fine-tune query performance.
• Tech Enthusiast: Leverage hands-on experience with Kubernetes, Docker, and CI/CD tools for added advantage.

Preferred Qualifications:

• Programming Diversity: Exhibit prowess in Python and another language, such as Golang.
• Start-up Mindset: Thrive in a startup environment and contribute to key data architectural decisions.
• Cloud Expertise: Possess familiarity with contemporary cloud infrastructure including Kubernetes, AWS, and GCP.