Data Engineer
Indexed description
This is a chance to work at the intersection of big data and cutting-edge AI, leveraging a world-class cloud stack including Databricks and Snowflake to drive real-world business impact. If you are passionate about building scalable, resilient data products in an agile environment, this is your next career move.
The Role
- Design and deliver end-to-end data products within a modern analytics platform using Python, Spark, and SQL.
- Develop and optimize robust data pipelines, integrating diverse sources with high data quality and orchestration standards.
- Support and scale ML and GenAI infrastructure, working closely with architects to prototype emerging technologies.
- Lead the charge on engineering excellence by promoting high coding standards and improving CI/CD processes.
- Collaborate in multi-functional agile squads to solve complex data challenges across the business.
- Deep expertise in building cloud-native data platforms, specifically using Databricks or Snowflake on AWS.
- Advanced proficiency in Python and SQL, with significant experience in Spark for large-scale data processing.
- Strong hands-on experience with workflow orchestration tools like Airflow and Infrastructure as Code (Terraform).
- Proven ability to manage CI/CD pipelines (Git, Jenkins) and a solid understanding of Docker or Kubernetes environments.
- A proactive mindset with the ability to ingest, cleanse, and structure large, diverse datasets for production-grade AI.
- Exceptional flexibility: Smart working options (Hybrid/Remote UK) with full-time, part-time, and job-share availability.
- Generous time off: Minimum 35 days holiday (including bank holidays) with the option to buy/sell extra days.
- Comprehensive financial rewards: Annual bonus schemes, competitive pension, and significant discounts on motor and home insurance.
- Family & Wellbeing: Enhanced maternity/paternity pay (up to 16 weeks full pay) and a full suite of health, dental, and mindfulness benefits.
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