almost 3 years ago
London, United KingdomSenior
Responsibilities
- Design, develop, and maintain data pipelines using Kafka and other tools.
- Build and maintain infrastructure using Terraform.
- Troubleshoot and resolve data engineering issues.
- Work with other teams to ensure data is available and accessible.
- Stay current with data engineering trends and technologies.
- Contribute to decisions about how new projects are undertaken.
- Gather requirements and scope projects with the team.
Requirements
- Bachelor’s degree in Computer Science or a related field.
- At least 5 years of experience as a Data Engineer.
- Strong understanding of Kafka, Spark, Flink, and standard computer science concepts.
- Experience with cloud-based infrastructure, including AWS, Azure, or GCP.
- Excellent communication and problem-solving skills.
- Ability to work independently and as part of a team.
- Preferred experience with PostgreSQL, Snowflake, Redis, Elasticsearch, highly available systems, and event-driven systems.
Benefits
- Competitive salary and benefits package.
- Opportunity to work on cutting-edge technology and make an impact at a growing company.
- Work with a team of talented and passionate engineers.
- Hybrid arrangement requiring four days per week in the dog-friendly office and allowing one remote day per week; the London office is at The Bower, 207–211 Old St, London EC1V 9NR.
Tech Stack
Apache FlinkApache KafkaApache SparkAWSAzureElasticsearchGoogle Cloud PlatformPostgreSQLRedisSnowflakeTerraform
Categories
Data Engineering
About Fresha
Fresha builds a marketplace and SaaS platform for beauty and wellness businesses—salons, barbers, and spas—to manage bookings, POS, CRM, inventory, and payments, while enabling consumers to discover, book, and pay. It runs a subscription‑free model that monetizes through integrated payments and marketplace transactions. Founded in 2015 and headquartered in London, the company reports over 1 billion appointments processed across global markets.