Assala Energy is a dynamic Oil and Gas Exploration and Production company committed to the sustainable development of its assets in Gabon. We value a collaborative approach, promote diversity, and prioritize safety and integrity in all our operations.
To support the creation and development of data‑driven initiatives and facilitate the transition of business processes toward a “Data‑Driven” methodology, the consultant will provide predictive analytics, data engineering, BI development, and data quality assurance.
This is a contract opportunity offered subject to IR35 compliance checks.
Service Overview
The consultant will:
- Deliver across end‑to‑end data management systems for BI projects.
- Develop a global understanding of business processes to identify, support, and prioritise BI initiatives.
- Provide technical expertise to our Operations, Finance, Logistics, and other departments.
- Facilitate the organisation’s transition toward a data‑driven culture and methodology.
- Collaborate with the Data Engineer in developing architecture, processes, and data workflows.
**Scope of Work & Deliverables
Main Deliverables**
- Propose decision‑support analysis solutions in collaboration with business teams.
- Ensure QA/QC of all datasets used for BI, analytics and predictive modelling developments.
- Identify and develop predictive systems to support the industrialisation, production, storage and maintenance of ML models.
- Develop data enrichment pipelines and consolidate databases to ensure reliable data sources for reporting.
- Collaborate with the Data Engineer to design and build the data platform infrastructure, data architecture and ETL processes.
- Design and manage the company’s Data Warehouse.
- Create, maintain and develop reports, dashboards, KPIs, monitoring and visualisation tools, mainly using Power BI.
Deliver BI tools first for Operations and then extend support to other departments upon request and approval.
Integration of new asset data into existing reports
Finance / Cost Control KPI Dashboard
Daily & Weekly reporting standardisation and improvement
Logistics KPI Dashboard (POB, passenger flows, goods movement)
Full scope of work with deliverables and objectives will be made available during a technical validation meeting.
Requirements
- Master’s degree in Computer Science or equivalent field.
- Experience in data engineering or data science consulting.
- Strong expertise with ETL pipeline development and cloud-based environments (Azure, AWS, Databricks, Snowflake).
- Python (numpy, pandas, scikit‑learn)
- SQL, dimensional modelling
- Power BI
- Git, CI/CD
- VSCode or PyCharm
- Data Warehouse design & architecture
Profile
- Detail‑oriented, autonomous, and service‑focused
- Strong communication
- Curious, proactive, and collaborative
- Strong problem‑solving mindset and client‑focused approach