SPG Resourcing are currently looking for a Product Owner to join my Financial Services client based in York. You will have a "Get the job done" mindset. You ll need to be able to engage effectively with stakeholders in both the business and technology areas, to ensure customer needs are met and you can deliver value continuously. They are a group of engineers (data, software, test), data scientists and agile practitioners. They organise themselves into chapters according to these professional disciplines. You would be joining our data engineering chapter. This means as an engineer you must be passionate in applying technology to drive results and advocate for appropriate solutions.
You must be able to adopt best practices in the cloud and understand the importance of DevOps to ensure we can easily build, deploy and monitor solutions when they go into production. My client would not expect any engineer to be familiar with the entire tech stack Instead, they seek people with a good understanding of data structures and algorithms and the ability to apply this knowledge in learning new tools.
Requirements
- Knowledge of, or ability to rapidly adopt our core languages for data engineering Python and/or SQL.
- Microsoft Azure
- A robust understanding of core data engineering topics ETL vs ELT, structured and unstructured data, data quality and data governance.
- Ability to contribute to all aspects of a solution design, infrastructure, development, testing and maintenance..
- Effective collaboration with technical and non-technical team members through agile ceremonies roadmap planning, feature workshops, backlog elaboration, code review.
- An understanding of cloud technology and a realisation that cloud-native solutions must be built differently from traditional ones.
- Track record of taking initiative and delivering projects end-to-end; clear evidence of being self-driven/ motivated
- Working with business stakeholders to understand high value business problems that can be solved through the application of data processing and analytical systems
- Helping to design, build and support a new cloud-based analytics platform for the business
Benefits
- Flexible Working 1 day per week in York
- Bupa medical cover
- Sharesaver scheme
- Income protection scheme
- 10% pension
- Up to 22.5% bonus + Shares
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Requirements Knowledge of, or ability to rapidly adopt our core languages for data engineering Python and/or SQL. Microsoft Azure A robust understanding of core data engineering topics ETL vs ELT, structured and unstructured data, data quality and data governance. Ability to contribute to all aspects of a solution design, infrastructure, development, testing and maintenance.. Effective collaboration with technical and non-technical team members through agile ceremonies roadmap planning, feature workshops, backlog elaboration, code review. An understanding of cloud technology and a realisation that cloud-native solutions must be built differently from traditional ones. Track record of taking initiative and delivering projects end-to-end; clear evidence of being self-driven/ motivated Working with business stakeholders to understand high value business problems that can be solved through the application of data processing and analytical systems Helping to design, build and support a new cloud-based analytics platform for the business