Data Engineer Engineering Data Engineering London London Full-time The AI-powered OS for beauty, wellness and self-care About Fresha Fresha is the AI-powered operating system for the global beauty, wellness and self-care industry, connecting and powering everything from salons and barbers to spas, medspas, fitness studios and health practices. Trusted by millions of consumers and businesses worldwide. Fresha is used by 140,000+ businesses and 450,000+ stylists and professionals worldwide, processing over 1 billion appointments to date. The company is headquartered in London, United Kingdom, with 15 global offices located across North America, EMEA and APAC. Fresha allows consumers to discover, book and pay for beauty and wellness appointments with local businesses via its marketplace, while beauty and wellness businesses and professionals use an all-in-one platform to manage their entire operations with an intuitive business software and financial technology solutions. Fresha’s ecosystem gives merchants everything they need to run their business seamlessly by facilitating appointment bookings, point-of-sale, customer records management, marketing automation, loyalty, beauty products inventory and team management. The consumer marketplace unlocks revenue potential for partner businesses by leveraging the power of online bookings and automated marketing through mobile apps and advanced integrations with major tech brands including Instagram, Facebook and Google. Role overview Given our exciting and progressive growth plans, we are looking for a skilled and experienced Senior Data Engineer to join our team. This role will report to the Head of Data & Infrastructure and play a key part in levelling up our infrastructure and data pipelines. The ideal candidate will have a strong understanding of Kafka, Spark, Flink, and standard computer science concepts. They will also be a team player with excellent communication and problem-solving skills. We seek someone comfortable working with highly available, always-on systems, applying changes in a backwards-compatible fashion, without downtimes, while guaranteeing consistency and reliability, always with the customer in mind. This role is perfect for someone who thrives in a fast-paced environment, enjoys independent work, loves a challenge, and is eager to make a significant impact. To foster a collaborative environment that thrives on face-to-face interactions and teamwork, all Fresha employees work from our dog friendly office four days per week, with the flexibility to work remotely one day each week. London office: The Bower, 207, 211 Old St, London EC1V 9NR Role overview Given our exciting and progressive growth plans, we are looking for a skilled and experienced Senior Data Engineer to join our team. This role will report to the Head of Data & Infrastructure and play a key part in levelling up our infrastructure and data pipelines. The ideal candidate will have a strong understanding of Kafka, Spark, Flink, and standard computer science concepts. They will also be a team player with excellent communication and problem-solving skills. We seek someone comfortable working with highly available, always-on systems, applying changes in a backwards-compatible fashion, without downtimes, while guaranteeing consistency and reliability, always with the customer in mind. This role is perfect for someone who thrives in a fast-paced environment, enjoys independent work, loves a challenge, and is eager to make a significant impact. To foster a collaborative environment that thrives on face-to-face interactions and teamwork, all Fresha employees work from our dog friendly office four days per week, with the flexibility to work remotely one day each week. London office: The Bower, 207, 211 Old St, London EC1V 9NR Inclusive workforce At Fresha, we are creating a culture where individuals of all backgrounds feel comfortable. We want all Fresha people to feel included and truly empowered to contribute fully to our vision and goals. Everyone who applies will receive fair consideration for employment. We do not discriminate based on race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying. If you have any accessibility requirements that would make you more comfortable during the interview process and/or once you join, please let us know so that we can support you. 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 that data is available and accessible

Stay up-to-date on the latest data engineering trends and technologies

Take part in decisions related to how we undertake new projects

Gather requirements and scope out projects with the rest of the team

Qualifications:

Bachelor's degree in Computer Science or a related field

5+ years of experience as a Data Engineer

Strong understanding of Kafka, Spark, Flink, and standard computer science concepts

Experience with cloud-based infrastructure (AWS, Azure, GCP)

Excellent communication and problem-solving skills

Ability to work independently and as part of a team

Nice to have haves:

Experience with relational databases (PostgreSQL)

Experience with Snowflake

Experience with Flink & Spark

Experience with "NoSQL" databases (Redis, ElasticSearch, etc.)

Experience with high availability systems and event-driven systems.

Benefits:

Competitive salary and benefits package

Opportunity to work on cutting-edge technology

Chance to make a real impact on a growing company

Work with a team of talented and passionate engineers

Interview Process

Informal meeting with Talent Partner (1 hour)

1st Stage Interview with Head of Data & Infrastructure (30 minutes)

2nd Stage Technical Google Hangout OR onsite with 2 members of the data Engineering team (Up to 2.5 hours)

Final Stage Google Hangout interview with CTO (1 hour)

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