Data Engineer

Role Purpose:

Vodafone is Oman’s latest Network Operator. The presence of Vodafone in Oman will contribute to the development of all sectors, including the economic and educational sectors, and in line with Oman Vision 2040.

Our purpose is to ‘Connect for a Better Future ‘which underpins everything we do. Our solutions will positively impact society as we connect everyone in Oman for a better future. What we offer are market-leading customer experiences and innovative digital services.

We are looking for energetic self-starters to work in this 100% Omani owned, positive collaborative start-up environment, where key talents will create Oman’s happiest workplace. We are looking for individuals with an entrepreneurial mindset who get excited by challenges and constant change and truly want to positively impact the lives of our customers and the people of Oman.

As part of our Strategy and Planning team, we are looking for Data Engineer, you will focus on uncovering hidden patterns, trends, and opportunities in large datasets using tools like Hive, Spark, and SQL.. Your role is to translate data into actionable insights, optimize decision-making, and identify high-value opportunities across the organization.

Key accountabilities and decision ownership:

• Perform deep-dive analyses on large-scale datasets stored in Hadoop/HDFS, Hive, or cloud platforms.
• Use Spark (PySpark/SQL) for efficient data aggregation, transformation, and exploratory analysis.
• Develop statistical models, segmentation strategies, and predictive analytics to solve business problems.
• Identify trends, anomalies, and correlations to inform strategic initiatives (e.g., customer behaviour, operational efficiency).
• Design and execute A/B tests, cohort analyses, and scenario modelling to validate hypotheses.
• Build interactive dashboards (Apache Superset) to democratize insights across teams.
• Partner with business leaders to define KPIs, metrics, and analytical requirements
• Translate technical findings into clear, actionable recommendations for non-technical audiences.
• Prioritize analytics projects based on potential business value and ROI

Core competencies, knowledge, and experience :

• Strong ability to analyse complex data, identify trends and patterns, and solve intricate business problems using data-driven approaches.
• Proven experience in leading and managing a team of data professionals. Ability to mentor, motivate, and foster a collaborative team environment.
• Excellent communication skills, with the ability to translate complex analytical concepts into clear, understandable language for non-technical stakeholders
• Ability to develop and implement data strategies that align with the organization’s goals and objectives. Strategic planning to leverage data for competitive advantage
• Strong technical skills in data science, including programming (Python, R), database management (SQL), and familiarity with big data technologies (Hadoop, Spark).
• In-depth knowledge of statistical analysis, predictive modelling, machine learning algorithms, and their application to real-world business problems.
• Experience in data governance, data quality management, and ensuring the integrity and security of data across the organization
• Strong understanding of the industry and business operations. Ability to align data analytics strategies with business objectives
• Familiarity with the latest data analytics tools and platforms, including cloud-based solutions, data visualization tools (Apache Superset), and advanced analytics software

Key Job indicators:

• Accuracy and Impact of Analytical Models and Evaluation of the precision of data models .
• Number of innovative solutions or models developed to advance the organization's data capabilities.
• Adherence to data privacy laws and internal data governance standards.
• Feedback scores from internal and external stakeholders on the effectiveness and impact of data-driven insights and support

Must have technical / professional qualifications:

• Minimum 3-5 years of experience in data analytics, with expertise in querying and analysing large datasets
• Proficiency in SQL and experience with Hive for querying data in Hadoop ecosystems
• Strong skills in Python or R for statistical analysis, visualization (Matplotlib, Seaborn), and scripting
• Hands-on experience with Spark (PySpark/Spark SQL) for big data processing and analysis
• Familiarity with workflow tools like Airflow
• Ability to create compelling data stories using tools like Apache Superset
• C# and .NET Technologies Advance Knowledge is an added advantage