Data Engineer

fresha
On-site
Posted over 2 years ago
Engineering

Job Description

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

Responsibilities

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
  • 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)
  • Requirements

    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
  • Ready to Apply?

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    About the job

    Posted on
    Jan 10, 2024
    Job type
    Full-time
    Location
    LondonOn-site

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