Data Engineer (DAYSHIFT)

Responsibilities:

• Maintain and develop our ETL/ELT processes, data modelling and data integration into our

Fabric data platform.

• Work with data visualisation tools daily such as Power BI.

• Develop and optimize data pipelines, ensuring they are scalable, reliable, and efficient.

• Collaborate with stakeholders to understand data requirements and deliver comprehensive data

solutions.

Skills and Qualifications:

- Demonstrated skills in SQL, Python, and other languages

- Understanding of business systems such as CRMs & Telephony- Experience in cloud-based data technology stacks such in Azure and what good data security practices

look like

- Ability to build and maintain technical documentation and version control using tools such as

Confluence and CI/CD

- Ability to capture business requirements and transform them into results

- Your knowledge of database systems and SQL empowers you to design and optimise data-driven

applications / warehouses that are secure and robust.

- Natural problem solver, relishing the challenge of analysing and debugging software issues with

tenacity and resourcefulness.

- Good communicator and collaborator, excelling in both written and verbal communication to drive

effective teamwork and alignment.

- You hold a bachelor's degree in computer science, data, business information systems or a related field

(or equivalent experience), demonstrating your commitment to excellence in the field.

- Experience in financial/payment exchange contexts a big plus

- A passion for broader business success!

Industries:Outsourcing/Offshoring

Function: Data Science