Data Engineer
Summary
Build and maintain scalable data pipelines and real-time streaming systems to power analytics and ML for a fast-growing entertainment company.
Senior Recruitment Consultant - Data & Analytics Engineering
A fast-growing entertainment company is expanding its data engineering team to build a modern, scalable data foundation that powers analytics, experimentation, and machine learning across the business.
Data plays a key role in how the company grows, innovates, and delivers great experiences for its users. You’ll work alongside experienced engineers and data scientists to shape and evolve the platform that underpins all data-driven decisions — including the development of real-time streaming capabilities using tools like Kafka.
This is a great opportunity for someone with early career experience in data engineering who’s ready to deepen their technical expertise and make a tangible impact in a creative, fast-paced environment.
Key Responsibilities:
- Build and maintain reliable, scalable data pipelines for structured, semi-structured, and streaming data
- Design and improve data models to support analytics and machine learning use cases
- Develop and support real-time data workflows using technologies such as Apache Kafka
- Monitor and ensure data quality, reliability, and security across the stack
- Contribute to the evolution of data engineering practices, tooling, and automation
- Collaborate with analytics, product, and data science teams to make data accessible and trustworthy
You will have:
- 2–3 years of experience in data engineering or a similar role
- Strong SQL skills and proficiency in at least one programming language (ideally Python)
- Understanding of data warehousing concepts and ETL/ELT patterns
- Experience with version control (Git), testing, and code review practices
- Familiarity with cloud-based data environments (e.g. AWS, GCP, or Azure)
- Exposure to modern data tools such as Airflow, dbt, or Snowflake
- Experience or strong interest in streaming technologies like Apache Kafka
- Interest in MLOps and modern data engineering best practices
You’ll be part of a company with a clear mission and strong data culture, joining a team that values learning, collaboration, and creativity. The role offers real opportunities to grow towards senior and platform-focused positions, working with a modern tech stack and talented peers.
Package & Setup:
- 3 days per week in the central London office
- Hybrid and flexible working
Contact: cameron.mason@xcede.com
London, England, United Kingdom