Data Engineer (11 Months Contract)

We are seeking a skilled Data Engineer to support finance-related reporting and analytics initiatives.

This role involves building robust data pipelines and models, ensuring data integrity, and enabling business intelligence and AI capabilities.

Key Responsibilities

Design, build, and maintain ETL / ELT pipelines to ingest data from enterprise systems.

Develop scalable and optimized data models to support reporting and analytics.

Implement data validation, observability, and lineage tracking to ensure data quality and governance.

Automate workflows and transformation processes using CI / CD principles and infrastructure-as-code practices.

Collaborate with analysts to provision curated datasets for dashboards and reporting tools.

Optimize SQL queries for performance and reliability across analytics workloads.

Support AI / ML initiatives by preparing datasets and collaborating with data science teams.

Ensure compliance with data protection and internal security policies.

Produce technical documentation including runbooks and design records.

Work closely with stakeholders to align data solutions with business needs.

What Are We Looking For?

We're looking for a proactive and technically strong candidate who can contribute to data engineering efforts in a dynamic environment.

Requirements

Degree in a relevant field (e.g., Computer Science, Data Engineering, Information Systems).

Proficiency in SQL and Python for data processing and automation.

Experience in developing ETL / ELT pipelines and data modeling.

Familiarity with data quality, observability, and governance practices.

Understanding of CI / CD principles and version control tools.

Experience with enterprise systems integration (e.g., Workday RAAS).

Exposure to BI tools such as Tableau or Power BI.

Experience with cloud platforms (Azure, AWS, or GCP) is a plus.

Knowledge of data orchestration frameworks and AI / ML enablement is desirable.

We regret that only shortlisted candidates will be notified.

Thank you.

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