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.