Data Engineer

You will play a key role in building and maintaining a modern data ecosystem that enables operational excellence and data-driven decision making. 

Responsibilities

• Integrate and transform data from multiple internal and external sources.

• Design, build, and maintain robust data pipelines and integration workflows.

• Optimise data storage, transformation, and access across cloud and local environments.

• Set up and maintain PostgreSQL databases and related environments.

• Manage and transform large Excel datasets for operational use and reporting.

• Automate reports and dashboards using AWS QuickSight, Excel, or similar tools.

• Support clean data ingestion from ERP systems such as Odoo.

• Collaborate with software engineers, analysts, and cross-functional teams to integrate and prioritise data needs.

• Ensure high standards of data quality, documentation, and reproducibility.

• Maintain data integrity, security, and version control.

• Work in Linux-based environments (Ubuntu) and troubleshoot data operations issues.

• Solve data challenges in resource-constrained or remote environments.

• Stay adaptable to new tools and technologies, contributing to a culture of trust and strong internal data practices.

Requirements

Qualifications & Experience:

• Tertiary qualification in Computer Science, Information Systems, Engineering, or a related field.

• Minimum of 4 years’ professional experience in a Data Engineering or Data Operations role.

• Strong problem-solving skills with the ability to challenge assumptions.

• Full proficiency in English.

• Experience with cloud data platforms and storage solutions.

• Knowledge of structured and unstructured data processing.

• Familiarity with data security, access control, and governance.

• Experience with ERP systems and data exports (e.g., Odoo).

• Experience automating reports and building self-service dashboards.

Technical Skills:

• Proficiency in SQL and relational database design.

• Strong Python programming skills.

• Hands-on experience with PostgreSQL in production environments.

• Knowledge of ETL/ELT principles and pipeline development.

• Experience with orchestration tools (Apache Airflow, Dagster, or Prefect).

• Familiarity with data transformation tools (dbt, Dataform).

• Experience with reporting tools (e.g., AWS QuickSight).

• Familiarity with Google Cloud Platform or AWS.

• Comfortable working in Linux-based systems.