Data Engineer

Responsibilities:

• Being Client Focus: Ensuring the user stories are written with minimal ambiguity, and proposed solutions, achieve the customers’ goals

• Gathering, analysing, documenting requirements and user stories; questioning, challenging and proposing innovative, automated solutions where necessary.

• Acquire data from primary or secondary data sources and socialise data lineage

• Identify, analyse, and interpret trends or patterns in complex data sets

• Filter and “clean” data by reviewing dataset, reports, and data performance indicators to locate challenges and propose options for their remediation

• Locate and define new data process improvement opportunities

• Document design for data visualisation and filtering capabilities

• Keeping project team well informed of the design and execution dependencies within the programme and outside the programme.

• Acting as point of contact for IAM related queries

• Active member of the Agile Scrum teams

Must HAVE:

• Ability to work proactively, independently when necessary and displays strong initiative

• 5+ years of experience in business analysis

• Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy

• Hands on experience with data preparation tools, query acceleration tools and data visualisation tools such as DataIku, Dremio, Apache Arrow, Paxata, SAP, Tableau, MicroStrategy, Power BI

• Good query knowledge: SQL/PLSQL/Hibernate SQL

• Experience in working in multicultural teams

Preferred:

• Excellent problem-solving skills with a good standard of English (written and spoken) producing timely & accurate documents using the relevant business and industry specific technical language

• Good knowledge of Python scripting and data wrangling development skills

• Experience in end to end delivery of IAM systems from vendors such as SailPoint, BeyondTrust, Saviynt, Microsoft Active Directory, ForgeRock, Okta, AD etc