Social network you want to login/join with:
Duration: 6 Months (extension options) November Start.
Location: Remote,
As a Data Engineer, you will play a pivotal role in designing, developing, and maintaining data pipelines that align with the objectives of our client's data users. Collaborating with product, data platform, and data architect managers, you will focus on establishing and scaling data pipelines in the domains of finance, safety, HR, and operational performance.
Key Responsibilities:
Requirements:
Skills:
- Required: Python (Flask and Pandas experience preferred), SQL, GIT, Azure DevOps, Snowflake (or any cloud solutions), Communication, DBT.
- Nice to have: Azure Cosmos, Azure Storage (Blob and/or ADLS), Cloud Functions, React or Typescript (Front-end), Data Science and statistical analysis experience, DataOps.Live.
If you're ready to take on a challenging and rewarding role as a Data Engineer with our client, apply now! Join their team and make a significant impact on their data pipelines and business intelligence capabilities. Don't miss out on this fantastic opportunity!
Candidates will ideally show evidence of the above in their CV to be considered.
Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly.
To speak to a recruitment expert please contact
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.