TL;DR
Data Engineer: Helping clients deploy and maintain data pipelines using the latest technologies and with a DataOps culture with an accent on the practicalities of quality, flow, and organisation of information. Focus on translating stakeholder needs into robust data product specifications.
Company
hirify.global are a tech company focused on accelerating digital delivery and dedicated to closing the digital skills gap.
What you will do
- Develop pipelines that bring data to life for decision making, either delivering insight or for more sophisticated data science applications.
- Apply the practicalities of data quality, flow, and organisation of information.
- Work in a fast moving, agile environment, within multi-disciplinary teams.
- Deliver modern data platforms into large organisations.
- Translate stakeholder needs into robust data product specifications.
Requirements
- Experience in coding in Python and SQL.
- Experience with Snowflake or Databricks.
- Understanding of at least one cloud platform (AWS, Azure or GCP) and experience of associated technologies.
- Experience with DataOps concepts.
- Experience adopting a Data Product mindset.
Culture & Benefits
- "Blended Working" model, meaning you will be able to work in a range of locations from your home, in your clubhouse, on a client.
- A dedicated career scrum team, designed to help you reach your career goals and develop the skills you need to be your best self.
- An annual budget for training and upskilling, including allocated days off.
- Monthly and quarterly team socials.
- 25 days holiday allowance + bank holidays.
- Share scheme and a £1000 flexifund to use on a personalised list of benefits.
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