Data Engineer

TL;DR

Data Engineer: Develops and maintains data pipelines for decision-making and data science applications with an accent on data quality, flow, and organization. Focus on working in a fast-moving, agile environment within multi-disciplinary teams, delivering modern data platforms into large organizations.

Location: Blended Working model, meaning you will be able to work in a range of locations from; your home, in your clubhouse, on a client, as well as just a change of scenery.

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 or sophisticated data science applications.
• Apply the practicalities of quality, flow, and organisation of information, being hands-on with data.
• Work in a fast-moving, agile environment within multi-disciplinary teams.
• Deliver modern data platforms into large organizations.

Requirements

• Experience in coding in Python and SQL.
• Solid experience of Snowflake or Databricks.
• Exposure to at least one cloud platform (AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc).
• Experience with DataOps concepts.

Culture & Benefits

• A “Blended Working” model, meaning you will be able to work in a range of locations.
• 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.
• 26 days holiday allowance + bank holidays.
• A £1000 flexifund to use on a personalised list of benefits such Gym membership, Cycle to Work Scheme, Health, dental and optical cash plan.