Data Engineer II

📋 Description

• Build and optimise scalable, maintainable, and high-performance data pipelines and workflows.
• Ingest, transform, and deliver high-volume data from a range of structured and unstructured
• Design and maintain performant data models in Redshift, and optimise SQL queries to support
• Contribute to our cloud migration journey and help evolve the data architecture with new ideas and
• Collaborate with cross-functional, globally distributed teams to translate business requirements
• Embed data quality, reliability, observability, and security as first-class principles across the

🎯 Requirements

• 2–3 years of professional experience in Data Engineering or a related role.
• Strong SQL expertise, including query optimisation, complex transformations, and datamodelling.
• Solid Python skills for data engineering and pipeline development.
• Hands-on experience with AWS services such as Redshift, Lambda, Glue, and S3, as well as Airflow
• Familiarity with modern transformation and modelling practices using tools such as dbt.
• A collaborative mindset, strong problem-solving skills, critical thinking, and a willingness to

🎁 Benefits

• Competitive salaries, performance bonuses, sales commissions, equity for specific roles, and
• Medical coverage, 24/7 employee assistance program, generous vacation programs, year-end shut down
• Role-specific training, internal workshops, and learning stipend.
• Company-wide social events, team bonding activities, happy hours, team offsites, and more.
• A global company with over 33 nationalities, based in 18+ countries and more than 10 office