GCP Data Engineer (Specialist)

Job Description

Job PurposeThe successful candidate will develop and optimise the data infrastructure and frameworks behind the customer-centric marketing business. Make improvements to the marketing data lifecycle, from the way data is extracted and prepared to the way analysis and segmentation is performed and presented through to data distribution and activation in marketing channels. Map out and develop the data ingestion, integration and distribution processes from various internal and external sources, streamlining the information for the use of the marketing teams.Job Outline:- Responsible for designing, managing and governing the data model, ETL flows and catalogue. Work closely with the Customer Insights Analysts to understand their requirements and ensure data is sourced, structured and available for use.- Understand structured and unstructured data in order to identify, cleanse, map and combine data and data sets from multiple sources in preparation for the Customer Insights team. Ensure the data format is ready for use in segmentation, insights extraction and other marketing applications.- Ensure data is integrated, centralised and maintained in a Marketing Data Platform so that there is a single source of truth from which all insights activities can be obtained.- Remain at the forefront of and drive continuous improvements in extraction, aggregation, testing and analysis of terabytes of customer data. Map out and develop the data ingestion, integration and distribution processes from various internal and external sources, streamlinging the information for the use of the marketing teams.- End-to-end project delivery including testing, validation and the creation of written documentation including process flowcharts, marketing data catalogue, clear code and comments.- Work closely with analysts to help them get the most out of the available data lake and enable the discovery of actionable insights that support decision making.- Effectively apply technology to surface insights automatically, optimise data delivery and simplify self-service analysis for the wider marketing business user group.- Work with our enterprise analytics and data science teams to research, prototype and implement new statistical methodologies that extend the portfolio of insights we can provide to the marketing teams.- Assist in machine learning model development, evaluation and deployment in addition to support segmentation, profiling and attribute derivation. Leverage our cloud data infrastructure to build and integrate the models into real-time services that power the analytical and marketing execution processes.- In collaboration with cross-functional experts across IT, CyberSecurity and the Data Privacy Office, be responsible for understanding and adhering to the current privacy, security and regulatory compliance as it pertains to customer data, contribute to keeping and improving governance best practices and standards. Maintain compliance to Emirates Group privacy principles and work with the Data Privacy Network Liaison within CCMB to ensure privacy and security of personal data is considered by design and default in all aspects of the role.Qualifications & Experience- Degree or Honours (12+3 or equivalent)- Degree in marketing or related discipline.Experience5 years experience in analysing customer data for marketing purposes.Knowledge/skills:- Hands on and deep experience working with Google Data Products (e.g. BigQuery, Dataflow, Dataproc, AI Building Blocks, Cloud Data Fusion, Dataprep, etc.).- Deep knowledge and experience with relational data systems and SQL and NoSQL modern data stores.- Experience in Spark (Scala/Python/Java) and Kafka.- Working knowledge of manipulating, processing and extracting value from large-scale, complex datasets.- Demonstrated experience in applying data warehouse design, data quality principles and agile processes.- Experience with REST APIs and web services.- Knowledge of professional software engineering practices and best practices for the full software development life cycle (SDLC), including coding standards, code reviews, version control management, build processes, testing, and operations. Ability to effectively manage multiple projects and workstreams, with attention to detail and accuracy.- Experience of pipelining, setting up and deploying ML models into production (Continuous integration & continuous deployment)- Not essential, but desirable: Familiar with Agile software development process & tools.Salary & BenefitsJoin us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. You can find out more information about our employee benefits in the Working Here section of our website www.emirates.com/careers. Further information on whats it like to live and work in our cosmopolitan home city, can be found in the Dubai Lifestyle section.Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. You can find out more information about our employee benefits in the Working Here section of our website www.emirates.com/careers. Further information on whats it like to live and work in our cosmopolitan home city, can be found in the Dubai Lifestyle section.Join our growing team and enjoy a competitive remuneration package, discounts on flights and hotel stays. Find out more about working with us in our website www.emirates.com/careers

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About Company

the Emirates Group employs over 103,363 staff from more than 160 nationalities. The Emirates Group’s extensive and diverse international portfolio includes the world’s largest international airline, Emirates, and one of the largest combined air services provider in the world, dnata. For the year financial year ending 2017-18, the Emirates Group posted a profit of AED 4.1 billion (US$ 1.1 billion).