Job Description & Summary
A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
Our team helps clients navigate various analytics applications to get the most value out of their technology investment and foster confidence in their business intelligence.
As part of our team, you’ll help implement enterprise data products and data management applications that improve operational effectiveness and provide actionable data analytics and insights.
As a Senior Data Analytics Engineer your responsibilities will include:
- Implementation of data products for the Middle East Firm.
- Provide data architecture and technical delivery knowledge to the Data Analytics team.
- Implement enhancements to a central Data warehouse solution for the firm.
- Utilize DevOps software team to create innovative applications.
- Execute data-science and machine-learning efforts in support of PwC clients.
- Implement exploratory data analysis of sample data sets to advise the Data Lab leads on the incorporation of AI into their labs and applications.
- Analyze requirements, estimate production time, design solutions, code solutions, test solutions, and document work.
- Assist in the definition of application architecture.
- Mentor team of data scientists and provide algorithmic recommendations depending on the data set, acting as SME.
- Ensure adherence to best practices, management processes, and technical constraints.
- Design and conduct training on AI/ML, NLP techniques.
- Assist in the drafting of business cases, project plans, test reports, risk assessments, and other project specific documentation.
- Acts as client liaison in the development of application functional documentation, including technical specs document, technical data sheets, operational manuals, and training materials.
- Must be functional in a Senior Software Developer role.
To be successful in this role, your background must include the following:
- Bachelors degree in Mathematics, Computer Science or similar engineering discipline.
- Minimum 5+ years of relevant work experience in agile/scrum software development, data science settings with a focus on developing projects using Data warehousing and cloud environments (e.g. Azure, Google Cloud, Digital Ocean).
- Strong Experience in Microsoft Development Toolkit (SSIS, SSAS, Azure Data Factory, Visual Studio).
- Experience with Databricks.
- Experience with NoSQL, Relational, Multimodal and Graph databases.
- Experience in designing and implementing User Interfaces at an Enterprise Level.
- Strong system architecture and design experience to include deploying production enterprise applications in cloud environments that use AI/ML.
- Experience with Enterprise Data Modelling, including use of EA Sparx.
- Experience with scripting and programming languages in Python, R and Java.
- Experience in Design Thinking workshops and all related activities, designing solutions that balance user needs, commercial interests, and technological constraints, and including design strategy, service design, design research.
- Experience planning and executing customer design projects through holistic understanding of problem areas, iterative solution design, executive stakeholder management, and integration of business and technical experts.
- Experience conducting qualitative and quantitative research and synthesizing to provide insights, identify opportunities, and generate conceptual frameworks.
Following Skills Are Nice To Have
- Strong experience with Machine Learning algorithms, techniques and tools.
- Experience with Jira, Confluence, Visio, MS DevOps, and MS Project.
- Experience with Amazon Web Services deployments.
- Master’s degree in Data Science.
- Experience with open source development tools (GitHub, GitLab, etc.)
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