Mandatory Skills:
- Sound understanding of Data Architecture / Data Modelling
- Python Programming for Data (Functional approach)
- Relational Database / SQL Experience
- Previous exposure to REST APIs ( for Data Pipelines / ETL )
- Previous exposure to SOAP APIs ( for Data Pipelines / ETL )
- Git & CI/CD (multi branch approach)
Nice to haves:
- Exposure to DBT highly valued
- Exposure to Spark
- Exposure to Data Streaming technologies
Role Description Skills
- Refinement / Envisoning of technical solutions to address business
- requirements in light of Permira Data Standards / Framework
- Implementation of Data Pipelines / Data Processes / APIs within the Data Platform Technical Stack
- Responsible for Development Environment Testing providing base evidence of results
- Support QA Engineers during SIT Testing Phase on Testing environment
- and responsible for Production deployment
- Support the Team on solving Production environment issues with existing Data Pipelines / REST APIs
- Main responsible on the Documentation effort of the technical solutions implemented (at User Story level / Data Catalog level)
Soft Skills:
- Fluent in English (Writing,
- Reading, Speaking)
- Team worker
- Delivery focused mindset
- Experience on working within Agile Teams
- Ability to articulate conversations with Business Stakeholders beyond technical level discussion of the user stories
- Able to design technical solutions to address business requirements
Required Experience:
- 5+ years working on Data Engineering
- Exposure to Data projects within the domains of Accounting, Financial Performance Management, Financial Planning & Analysis