Data Analytics Engineer, Tray.io
Low-code automation platform
Job no longer available
Low-code automation platform
201-500 employees
Job no longer available
201-500 employees
Company mission
Tray.io's mission is to empower citizen automators so that any organization can automate.
Role
Who you are
- High proficiency in SQL
- Comfortable with usage of Terraform, ideally in an AWS environment
- Strong understanding of data engineering-adjacent services on AWS (Redshift, Lambda, S3, Cloudwatch etc.)
- Understanding of Docker and containerisation
- Familiarity with GitHub Actions
- Experience with BI Tools (preferably Tableau)
- Knowledge of ETL best practices and data integrity principles
- Experience with dbt or data object modelling
- Proficiency in at least one of Typescript/Python
Desirable
- Background in analytics or data science
- A willingness to learn and work with the Tray.ai product
What the job involves
- Our Data Team plays a pivotal role in shaping the data infrastructure that drives automation and innovation at Tray.ai
- As part of this dynamic team, you'll collaborate with passionate individuals dedicated to leveraging data for strategic decision-making and product enhancement
- Your primary mission as a Data Analytics Engineer at Tray.ai is to architect and optimise the data infrastructure supporting our reporting and analytics stack
- You'll be instrumental in designing scalable data pipelines, ensuring data integrity, and contributing to the overall success of our platform
- You will also be supporting the team in building reports and getting involved in generating insights for stakeholders
- Architect data pipelines: Design, build, and maintain scalable data pipelines using a high level of SQL,AWS services such as Redshift, Lambda, and S3, and the Tray.ai platform itself!
- Improve and maintain our analytics stack: We’re continuously looking for ways to improve and facilitate team processes, improve the developer experience, minimise time-to-value and maintain strong data integrity
- Work with BI tools to drive business impact: Collaborate closely with business stakeholders to harness the power of data insights through BI tools. Develop and contribute to reports and visualisations that empower stakeholders to make informed decisions, ultimately driving enhanced business performance
- Implement ETL best practices: Uphold and implement best practices for ETL processes, ensuring the efficient extraction, transformation, and loading of data while maintaining data integrity
Salary benchmarks
Our take
Tray.io allows employees to effectively "become programmers" without them needing to have an engineering background, and enables them to build out automation tailored for their day-to-day role.
With this approach, Tray fills a big need in the automation space - in between high end tools like Mulesoft, and simpler tools like Zapier. The company's customers include the likes of SAP, VMWare, Lyft, Intercom and IBM, which certainly suggests a real need for its tools.
Tray’s rise comes on the heels of a wider trend, where integration and automation are becoming a key part of the way enterprises work. The company has secured substantial funds that will enable it to continue building out its solutions. Its latest release, Merlin AI, means that users can now automate intricate tasks, including aggregating or transferring data across systems.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 8 rounds)
Sep 2022
$40m
SERIES C
Nov 2019
$50m
SERIES C
Total funding: $154.5m
Company benefits
- Cycle to work scheme
- Flexible working hours
- Generous conference and learning budget
- Unlimited paid time off policy
- Work from home opportunities
- Health insurance
Company HQ
China Basin, San Francisco, CA
Leadership
Rich Waldron
(CEO)Previously COO of iFind Media, who also co-founded Plan.nr.
Alistair Russell
(CTO)Previously Web Developer at esure, mSpace and Vibrant Media.
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