AI Data Engineer

What you’ll do:

With moderate supervision, manage project's progress, metadata collection, development and management.

Perform investigations on internal / external stakeholder queries with high level direction from the Team Leader.

Analyse problems, identify root cause, formulate findings and observations of results, suggest resolutions and communicate to internal / external stakeholders with moderate guidance from the Team Leader.

Maintain current knowledge of industry regulatory requirements such as reporting mandates, concepts and procedures, compliance requirements, and regulatory framework and structure. Be able to support internal/external queries on data standards.

Enter/maintain information in documentation repository.

Follow established security protocols, identify and report potential vulnerabilities.

Perform intermediate level data quality checks, following established procedures.

Consistently delivers moderately complex projects on time and against key metrics, with quality and speed, understanding how to navigate or escalate obstacles or uncertainty that may arise.

Drive excellent execution. Uses experience and knowledge to find ways to complete work efficiently, using discretion to make suggestions on work improvement opportunities.

Have a sense of urgency, agility and grit.

Organizes own work independently, ensuring continuous alignments with leader's expectations and aims to deliver winning results.

What experience you need:

BS degree in a STEM major or equivalent discipline; Master’s Degree strongly preferred

2+ years of experience as a data engineer or related role

Cloud certification strongly preferred

Intermediate skills using programming languages such as Python, SQL or scripting languages

Basic understanding and experience with Google Cloud Platforms and an overall understanding of cloud computing concepts

Experience building and maintaining simple data pipelines, following guidelines, transforming and entering data into a data pipeline in order for the content to be digested and usable for future projects 

Experience supporting the design and implementation of basic data models

Demonstrates proficient Git usage and contributes to team repositories

What could set you apart:

Master’s degree or higher in Mathematics, Computer Science , Engineering, Operations Research, Statistics or other related discipline a definite plus

Knowledge of the financial services industry

Contributions to open-source AI projects

Experience with data visualization tools