Data Analytics - Cape Town

Job summary

Want to join a frontrunner in renewable energy that is actively seeking early entry into new markets globally? Since the establishment in 2007, Scatec has acquired extensive knowledge and experience in developing, building and operating solar, wind and hydro power plants and storage solutions.

Currently we are looking for a Data Analytics & AI Lead in Cape Town, South Africa to be part of our global team working together towards our vision – Improving our future.

Responsibilities

• Lead the development and implementation of data analytics and AI strategies to drive business growth and innovation.
• Oversee the design and execution of data-driven projects, ensuring alignment with organizational goals and objectives.
• Guide the platform's evolution by adopting Modern Data Architecture practices, including Infrastructure as Code (IaC) and Azure DevOps for agile development and operations (DataOps).
• Collaborate with cross-functional teams to integrate data analytics and AI solutions into existing systems and processes, ensuring seamless adoption and scalability.
• Stay abreast of industry trends and advancements in AI and data analytics, incorporating relevant insights into strategic planning and execution.

Qualifications And Competencies

• 8+ years of relevant experience in data architecture, data management and data modelling.
• Extensive experience in data architecture, particularly within a modern data environment utilizing Azure Databricks, dbt, Terraform, and Azure DevOps.
• Significant hands-on experience in data engineering, including but not limited to the development and optimization of data pipelines, data modelling, and data lakehouse.
• Proven track record in leading the development and expansion of large-scale data platforms, preferably within a Modern Data Architecture deployment.
• Strong familiarity with cloud-based data solutions, particularly within the Azure ecosystem.
• Experience leading and managing cross-functional teams, including business analysts, data analysts, and data engineers.
• Interest in data analytics trends and advancements, e.g. AI, Industry 4.0.
• Expertise in SQL and Python for advanced data manipulation, modelling, analysis, and processing within a Data Lakehouse context.
• Familiar with modern data transformation tools, such as dbt.
• Strong experience with Azure cloud data services, particularly those relevant to Data Lakehouse architecture such as Azure Data Lake Storage, Azure Databricks, and related technologies.

Job description