Data Engineer

Cloud Employee is a UK-owned business established 8 years ago. We connect high-performing software engineers from around the world with some of the most innovative tech companies globally. Developers join to work as part of international engineering teams and expand their skills and experience.

We’re proud to be a supportive workplace that invests deeply in staff development, engagement, and well-being. Our people enjoy long-term career paths, tailored training programs, and hands-on mentoring.

Our client is a fast-growing technology company building a high-performance data foundation that powers machine learning and product innovation. They specialize in processing identity, behavioral, and event data at scale, helping businesses unlock insights through clean, reliable data systems. With a small, agile, and engineering-led team, they combine startup energy with a strong focus on technical quality and impact.

The Data Engineer will take ownership of existing data pipelines and evolve them as the company scales. You’ll work closely with the founding engineering team to improve reliability, scalability, and data quality while contributing to the overall data architecture.

• Own and maintain ELT pipelines using AWS Redshift and related services
• Ingest and transform identity, person, and event data across multiple sources
• Partner with external engineering teams to extend and optimize existing data systems
• Monitor data health, troubleshoot issues, and ensure reliable delivery across S3, Redshift, and DynamoDB
• Collaborate with product and ML engineers to deliver accurate data for core features
• Improve system documentation, observability, and performance
• Contribute to evolving the data architecture as the platform grows

• 5+ years of experience in data or analytics engineering
• Strong hands-on experience with Python
• Proficiency in SQL and Amazon Redshift
• Solid understanding of AWS services including S3, Lambda, and DynamoDB
• Proven ability to debug and maintain production pipelines independently
• Excellent written and verbal communication in English

• Experience working with marketing, identity, or behavioral event data
• Background in startups or small, fast-moving engineering teams
• Interest in long-term collaboration and growing into a senior contributor role

The client is looking for someone who:

• Takes ownership and accountability for systems and results
• Communicates clearly and proactively, especially in async and remote setups
• Thrives in collaborative, fast-paced environments
• Balances hands-on execution with a focus on quality and long-term scalability
• Is curious, detail-oriented, and comfortable troubleshooting complex data issues

• Competitive compensation package in USD
• 15 paid time off (PTO) days per year
• Health insurance allowance
• USD 1,000 annual budget for learning and professional development