Data & Analytics Engineer (VOIS)

🏢 Vois
📍 EgyptFull-timeOn-site
📅 Posted: 1w ago🔄 Updated: 1w ago
CV%
✨ AI Summary
VOIS (Vodafone Intelligent Solutions) is seeking a Data & Analytics Engineer to design, build, and maintain scalable data engineering and analytics solutions for Vodafone's Home Technology and Products portfolio. This role involves developing cloud-based data pipelines, integrating cross-product analytics, and creating actionable insights to support strategic decision-making and product improvement. Key responsibilities include developing and maintaining ETL/ELT pipelines on Google Cloud Platform BigQuery and AWS, integrating data from various sources, and creating dashboards and reports using Tableau or Power BI. The role also requires establishing automated data validation and monitoring frameworks, investigating data quality issues, and continuously improving data architecture. The successful candidate will collaborate with business stakeholders, ensure compliance with security and privacy regulations, and contribute technical insights to solution discussions.
🎁 Benefits & Perks
The opportunity to work with large, complex datasets supporting products used by millions of homes across Europe. Practical exposure to cloud data platforms, including Google Cloud Platform BigQuery and Amazon Web Services. Experience developing analytics and reporting solutions that influence strategic decisions and product improvements. Collaboration with cross-functional, multinational and multi-location teams. Opportunities to contribute to scalable data architecture, analytics innovation and emerging technology solutions. A development path towards broader end-to-end analytics architecture responsibilities.
Requirements
The ideal candidate holds a bachelor's degree in computer science, engineering, or a related quantitative field, with 2-4 years of experience in data analysis and engineering. Proficiency in advanced SQL, Google Cloud Platform BigQuery, Amazon Web Services data tools, ETL/ELT workflows, and Tableau is required. Understanding of the software development lifecycle, dimensional modeling, and the ability to translate complex data into clear insights and reports are essential. Strong analytical thinking, problem-solving skills, and effective communication within cross-functional, multinational teams are also necessary.
Description
Who We AreVOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation.As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.#VOIS #BeUnrivalled #CreateTheFutureAbout This RoleWe are seeking a Data & Analytics Engineer to design, build and maintain scalable data engineering and analytics solutions for Vodafone's Home Technology and Products portfolio, which serves millions of homes across Europe. You will develop cloud-based data pipelines, integrate cross-product analytics and create actionable insights that support strategic decision-making and continuous product improvement. As your knowledge and experience develop, the role offers the opportunity to progress towards end-to-end analytics architecture responsibilities.What You'll DoDevelop, deploy and maintain scalable cloud-based ETL and ELT pipelines using Google Cloud Platform BigQuery and Amazon Web Services to ingest, transform and optimise large datasets Work collaboratively with business stakeholders to understand requirements and translate them into clear, high-quality dashboards and management reports using Tableau or Power BI Establish automated data validation, testing and monitoring frameworks that improve data integrity, accuracy and performance Investigate data-quality and process issues, conduct root-cause analysis and implement corrective actions to minimise disruption Improve the data architecture continuously by recommending reusable patterns, effective practices and scalable solutions Support the design, development and verification of technology programmes while promoting alignment across product domains, operating companies and relevant industry partners Ensure technical solutions comply with applicable security, privacy and regulatory requirements, particularly when handling customer data Contribute technical insight and original ideas to solution discussions, supplier engagement and product improvement opportunitiesWho You AreYou hold a bachelor's degree in computer science, engineering or another relevant quantitative discipline You have two to four years of experience in data analysis and data engineering You have advanced SQL capability and practical experience with Google Cloud Platform BigQuery and Amazon Web Services data tools You have experience designing and implementing modern ETL or ELT workflows You have hands-on experience with Tableau. Experience with Power BI is also relevant You understand the software-development lifecycle, including requirements gathering, analysis, solution design, dimensional modelling, data loading, optimisation and front-end development You can convert complex datasets into clear insights, dashboards and reports You understand management reporting needs, cross-functional key performance indicators and regulatory reporting You demonstrate analytical thinking, close attention to detail and a structured approach to problem-solving You communicate clearly and work effectively within agile, cross-functional, multinational and multi-location teams You remain informed about cloud-computing standards and DevOps practices and can apply them to practical business challenges You are adaptable, curious and proactive when working with evolving technologies and complex technical requirementsNot a perfect fitConcerned you may not meet every requirement Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.What's In It For YouThe opportunity to work with large, complex datasets supporting products used by millions of homes across Europe Practical exposure to cloud data platforms, including Google Cloud Platform BigQuery and Amazon Web Services Experience developing analytics and reporting solutions that influence strategic decisions and product improvements Collaboration with cross-functional, multinational and multi-location teams Opportunities to contribute to scalable data architecture, analytics innovation and emerging technology solutions A development path towards broader end-to-end analytics architecture responsibilitiesWhat Skills You Will LearnAdvanced cloud-based data engineering across Google Cloud Platform and Amazon Web Services Scalable ETL and ELT pipeline design, deployment, monitoring and optimisation Automated data-quality validation, testing and performance monitoring Advanced analytics and data visualisation using Tableau and Power BI Dimensional modelling and the delivery of end-to-end data solutions Translation of business requirements into actionable dashboards, reports and cross-functional performance indicators Root-cause analysis and structured resolution of data and process issues Data architecture design using reusable patterns and scalable practices Application of security, privacy, regulatory and DevOps principles within analytics solutions Stakeholder collaboration and technical decision-making across international teamsVOIS Equal Opportunity Employer CommitmentVodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.Join UsAt Vodafone, we're working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.Alert Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.#JDEnhancedByTARAFollow us on social media and #StayConnectedLinkedIn: https://www.linkedin.com/company/vois/Facebook: https://www.facebook.com/voisglobalInstagram: https://www.instagram.com/voisglobal/You can also chat with our employees to learn more about our projects: https://lnkd.in/dpkrcvR2
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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00