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Data Engineer - Python, AWS, GCP - Remote

Opus Recruitment Solutions Ltd
Closing date
27 Jul 2021

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Technology & New Media
Contract Type
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Job Details

Data Engineer - Python, AWS, GCP - Remote

A key client of Opus are looking to expand their Data Engineering team, and are kicking off the search by hiring a Data Engineer. As the new Data Engineer you will work on an exciting pipeline of Greenfield work! The Data Engineering team at this Key client of ours are committed to providing high-quality data services to their customers. They are partnered with us on a large hiring project, specifically looking for high-calibre Data pro's to join the team!

The role
With the rise of the cloud, data has become more important than ever, and this role provides an opportunity for you to do your best work as a data expert. Working closely with colleagues from across the business, you'll get the chance to expand your knowledge of different data technologies and explore new and exciting capabilities, including big data and AI.

You'll be working with your colleagues, tasked with fully automating a new cloud data platform as well as maintaining an existing solution.

The current stack:
Python, GCP, AWS, Azure DevOps, Databricks, C#, PowerShell, Tableau.

What you'll do:
- Work with cross-functional product teams to identify and deliver projects that will drive value to customers
- Work in an agile environment.
- Building robust solutions for extraction, transformation and loading of data from a variety of sources
- Identify and implement internal process improvements: automating manual processes, optimising data delivery and re-designing infrastructure for scalability
- Be part of a self-service data culture; working closely with other data engineers, architects, and technologists to share knowledge and recommend improvements
- Maintaining and creating CI/CD pipelines in Azure DevOps.
- Deliver projects to time, budget and quality in order to deliver business goals

Key skills:
- Design, writes and iterates code from prototype to production-ready.
- Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools.
- Strong SQL
- An interest for data, cloud-based services and customer experience.
- Knowledge and experience of Kimball design.

Bonus points for:
- Experience with code versioning systems and CI/CD tools
- Hands-on experience in cloud based services
- You can develop fit for purpose, resilient, scalable and future-proof data services to meet user needs.
- Experience of cloud-based testing.

Some benefits:
- Discretionary Bonus
- 28 days holiday
- Flexible working patterns
- Remote, travel to the office once a month
- Group Life Assurance
- Free gym membership

Data Engineer - Python, AWS, GCP - Remote
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