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Job Purpose / Objective

Supporting Analytics Data Architecture, Data Governance, Data Quality Assurance, Modeling, Data Landscape documentation and data pipelines for all data objects supporting Operational Reporting and KPI’s.

Main Accountabilities

  • Support in the design, implementation and update of NLNG Data architecture, modeling, and process design for raw data objects, intermediary, aggregate tables across a variety of subject matters and data types.
    This includes Big Data ETL and ELT planning and implementation, and coordination with other company business areas or departments.
  • Design, construct, and manage the data lake environment including: Data ingestion, staging, data quality monitoring, and business modelling
  • Develop, construct, test and maintain architectures (databases and large-scale processing systems)
  • Design, develop and implement technical solutions in SQL environment (databases, SQL, data marts, integrations)
  • Develop visual reports in Power BI; Maintain and develop queries and stored procedures using T- SQL and Support data integrations
  • Maintaining, securing and protecting first party data and supporting end user consumption for key areas.
  • Development of internal tools and procedures to make data more accessible.
  • In collaboration with the data analytics & reporting team, manage and support Azure Machine Learning environment.

Job Requirements

  • A University Degree in Computer Sciences or Physical Sciences or Engineering; professional qualifications will be an advantage.


  • 10 to 12 years post-graduation experience, out of which 7 years should be a similar role within the IT department or Digital function or R&D function of a reputable organization preferably Oil & Gas company.

Competency Requirements:

  • Highly skilled in SQL programming in T-SQL building stored procedures and jobs
  • Strong functional understanding of Azure Machine Learning
  • Ability to manage large volume data integration/ETL; experience with SQL Server Integration Services (SSIS) including ability to configure SQL Server agent
  • Expertise in identifying and mapping data elements across multiple systems
  • Knowledge of Power BI report visualizations, Data Analysis Expressions (DAX), Power Query (M), and Power BI data modeling
  • Strong understanding of data integration, quality and validation
  • Strong understanding of MDM, Data Warehouse/Data mart and relational database design
  • Excellent written and verbal communication skills and able to interact with multiple IT teams and business partners both formally and informally
  • Effective time management, ability to multi-task with changing priorities while continuing to provide exceptional client service
  • Ability to work in a fast-paced agile environment (tools and processes).

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