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Job Description
Intercom, an AI Customer Service company, is seeking a Senior Data Infrastructure Engineer to join their team in London. This role involves collaborating on large-scale data-related infrastructure initiatives and providing solid foundations for high-quality data delivery.Intercom has a hybrid working policy and expects employees to be in the office at least two days per week.What this role involves:
  • Evolving the Data Platform by designing and building the next generation of the stack.
  • Developing, running, and supporting batch and real-time data pipelines using tools like Airflow, PlanetScale, Kinesis, Snowflake, and Tableau in AWS.
  • Collaborating with product managers, data engineers, analysts, and data scientists to develop tooling and infrastructure to support their needs.
  • Developing automation and tooling to support the creation and discovery of high-quality analytics data.
  • Implementing systems to monitor infrastructure and detect data quality issues.
Requirements:
  • 5+ years of full-time, professional work experience in the data space using Python and SQL.
  • Solid experience building and running data pipelines for large and complex datasets.
  • Hands-on cloud provider experience (preferably AWS) including service integrations and automation via CLI and APIs.
  • Solid understanding of data security practices and a passion for privacy.
  • Ability to demonstrate the significant impact of your work.
Intercom offers:
  • Competitive salary and equity.
  • Lunch every weekday, plus a variety of snack foods and a fully stocked kitchen.
  • Regular compensation reviews.
  • Pension scheme & match up to 4%.
  • Life assurance, as well as comprehensive health and dental insurance.
  • Open vacation policy and flexible holidays.
  • Paid maternity leave, as well as 6 weeks paternity leave for fathers.
  • Cycle-to-Work Scheme with secure bike storage.
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