Senior Data Engineer (UK)

Overview

As a Senior Data Engineer at Firstup, you will design and maintain scalable data pipelines and analytics solutions that translate product and business logic into reliable data models. You’ll apply GenAI to engineering workflows and data interfaces, collaborating with cross-functional teams to improve data quality and observability. You will help evolve the data architecture and support production pipelines with on-call readiness. This role combines hands-on engineering with strategic data platform growth in a fast-growing, inclusive environment.

Pay / Benefits

• excellent PTO program
• great health benefits
• remote work
• casual and friendly environment
• growth opportunities
• leadership committed to employee development

Responsibilities

• Design, build, and maintain scalable data pipelines, data warehouses, and analytics solutions
• Develop natural language interfaces to data and analytics using GenAI/LLM techniques
• Utilize GenAI coding tools to enhance code quality, testing, and delivery speed
• Evaluate new technologies to scale the data platform and stack
• Establish SQL development, data modeling, testing, documentation, and code review standards
• Provide on-call production support and incident response in collaboration with engineering, analytics, and business teams
• Document domain expertise and translate business needs into technical solutions with product management

Key requirements

• Bachelor's degree in Computer Science or related field, or equivalent professional experience
• 8+ years building reliable, high-performance, large-scale distributed systems with emphasis on streaming and data pipelines
• Experience with multi-tenant SaaS environments
• Experience building natural language interfaces over data warehouses and applying GenAI/LLM techniques
• Expertise with at least one large-scale analytical data warehouse or query engine (StarRocks, Redshift, Snowflake, Databricks, or Trino)
• SQL development, optimization, and analysis
• Hands-on experience with distributed data platforms on AWS or GCP
• Hands-on experience with streaming platforms like Kafka and Spark
• Experience scaling data modeling and warehousing
• Proficiency in Python

• Cross-functional collaboration
• Strong problem-solving and analytical thinking
• Effective communication and documentation
• SQL optimization and data modeling
• GenAI/LLM techniques for data and analytics
• Data pipelines and warehouse architectures

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