Deputy Manager-Data Engineer, Big Data and Machine Learning Pipelines

At 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 be truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.

VOIS (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 #CreateTheFuture

Understand data science challenges and design, build and schedule end-to-end data pipelines. Select appropriate big data technologies to solve technical and business problems efficiently. Automate data science pipelines, deploy machine learning algorithms and monitor their performance. Build Customer 360 solutions and feature stores for a range of machine learning use cases. Develop data models for machine learning feature stores using high-velocity databases with flexible schemas. Identify data sources across the organisation and integrate them into a big data lake. Translate business challenges into end-to-end analytics use cases, data structures and data model requirements. Collaborate with business stakeholders to agree scope, deliverables, processes and expected outcomes. Provide technical guidance to senior technologists and business leaders on data architecture, data models and metadata management. Partner with database teams to address data quality, accuracy, integrity and usability requirements. Create and modify programs that extract information from organisational databases. Work with large datasets and distributed computing, simulation and optimisation tools. Diagnose and resolve issues affecting big data platforms and frameworks. Communicate technical concepts and recommendations clearly to business and project stakeholders.

You have five to seven years of experience working with large datasets, distributed computing tools, simulation or optimisation techniques. You have experience using Apache Spark to transform data for data science activities. You understand distributed storage technologies, including AWS, Google Cloud Platform or HDFS. You have experience building and scheduling data pipelines with Apache Airflow. You have worked with data ingestion technologies such as Apache Kafka, Sqoop, Flume or Apache NiFi. You can build real-time analytics solutions using technologies such as Apache Spark, Apache Flink and Apache Kafka. You have programming experience in one or more of the following languages: Scala, Python, Java or R. You have worked with NoSQL databases such as Cassandra, MongoDB, HBase or Redis. You can investigate and resolve issues across big data platforms and frameworks. You communicate clearly and can present technical information effectively to business project leads and other stakeholders. You take a collaborative approach to working with Data Scientists, database specialists, senior technologists and business stakeholders.

Concerned 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.

The opportunity to develop scalable data products that support analytics and machine learning use cases. Exposure to large organisational datasets, distributed computing environments and real-time analytics systems. Collaboration with Data Scientists, database teams, senior technologists, business leaders and project stakeholders. The opportunity to contribute across the complete data lifecycle, from sourcing and ingestion to transformation, optimisation and operational monitoring. Experience addressing varied technical challenges across cloud storage, big data platforms, feature stores and machine learning pipelines.

At 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.

LinkedIn: https://www.linkedin.com/company/vois/ Facebook: https://www.facebook.com/voisglobal Instagram: https://www.instagram.com/voisglobal/

Vodafone is committed to attracting, developing and retaining the very best people by offering a motivating and inclusive workplace in which talent is truly recognised and rewarded. We are committed to promoting Inclusion for All with the belief that diversity plays an important role in the success of our business. We actively encourage everyone to consider becoming a part of our journey.