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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Firstup - **Location:** London, UK (Remote available) - **Experience:** Expert - **Salary:** £75,676.0 - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Business Analytics Applications, Data Analysis, Business Logic, Software as a Service, Software Quality, Code Review, Data Architecture, Data Infrastructure, Data Systems, Data Warehousing, Database Development, Distributed Data Store, Distributed Systems, Python (Programming Language), Operational Databases, Ruby on Rails, SQL Databases, Data Streaming, ReactJS, Large Language Models, Snowflake, Apache Spark, Data Layers, Information Technology, Data Analytics, Apache Kafka, Data Pipelines, Service Stack, Amazon Redshift, Databricks - **Published:** September 17, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5887469675 ## About the Role * Bachelor's degree in Computer Science or related field, or equivalent professional experience. * 8+ years building reliable, high-performance, large-scale distributed systems, with an emphasis on streaming and data pipelines. * Experience working with and maintaining multi-tenant SaaS experiences. * Experience building natural language interfaces over data warehouses, including applying GenAI/LLM techniques to data and analytics. * Enterprise-level experience with at least one large-scale analytical data warehouse or query engine: StarRocks, Amazon Redshift, Snowflake, Databricks, or Trino. * Expertise writing, optimizing, and analyzing SQL. * Hands-on experience building and operating distributed data platforms on AWS or GCP. * Hands-on experience with streaming platforms such as Kafka and Spark. * Experience scaling data modeling and warehousing. * Proficiency in python. Preferred Qualifications * Experience with Cube or other semantic layers. * Experience with scheduling tools such as Airflow. * Familiarity with the BI tool Metabase. * Proficiency in Ruby on Rails, React, or other adjacent languages. ## Description The Senior Data Engineer will design and build reliable data solutions that translate complex product and business logic into scalable, well-tested data models and pipelines. This role requires deep expertise in SQL, query acceleration, and applying GenAI to both engineering workflows and data/analytics interfaces. They will partner across engineering, analytics, and business teams, contribute to shared codebases, improve data quality and observability, and help evolve the data architecture. Responsibilities * Design, build, and maintain scalable data pipelines, warehouse models, and analytics solutions, balancing data quality, business value, and speed. * Build and maintain natural language interfaces to data and analytics, applying GenAI/LLM techniques to make data more accessible across the business. * Use GenAI coding tools and practices in daily development to improve code quality, testing, and delivery speed. * Continuously evaluate new technologies that could improve and scale the team's data platform and technology stack. * Establish and follow standards for SQL development, data modeling, testing, documentation, code reviews, and production support. * Support production data pipelines through on-call rotation and incident response, partnering with engineering, analytics, and business teams. * Document and maintain expertise in the technology stack and product domain, translating business needs into technical solutions with product management. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)