Azure Data ETL Engineer

Job title:

Darwin Rhodes

Job Title: Azure Data ETL Engineer
Location: The Hague, NL
Duration: 6 months Contract

COE is a central function providing services such as Consultancy, Advisory, Best practices, Standards & Guidelines and Design Patterns.
Partner with Business Delivery Verticals in Designing and implementing cloud solutions which are secure, scalable, resilient, monitored, auditable and cost optimized.
Partner with Business Delivery Verticals providing COE Consultants with Technical Expertise.
Work with ITSO Portfolio teams to understand the roadmap for current and future D&A capabilities and build service launch calendar as per the roadmap.
Drive User Group Meetings and provide regular updates to the Business D&A teams
Collaborate with Supplier and Shell staff to understand requirements for Data and Analytics that support Shell requirements and strategies
Use the service wheel and drive improvements
This role will strongly interface with other D&A natural teams such as Architects, Portfolio, Operations, Project Delivery, Governance, etc.
Operate in a global environment

Responsibilities & Accountabilities

Provide technical expertise within D&A team
Within own scope – taking the lead to plan, manage & deliver according to demand pipeline
Deliver through others within the natural teams – Portfolio, Projects, Architects, Operations, Business Analytics Teams, Compliance, IRM & Suppliers
Innovate and actively drive Proof of Concepts in D&A space
Taking initiatives to improve adoption of D&A Services (Analytics and Visualization)
Help define the Service Strategy and guides the transformation of the Business lines into a truly Agile, DevOps organization with Continuous Delivery Capability
Team player – working in an environment that promotes high level of personal commitment and accountability and a continued focus on quality and efficiency
Help drive D&A knowledge sessions on focus areas that create business value. Key to this is translating IT conversations into Business conversations; the messages need to be delivered in business terms not technology terms

Dimensions:

Special Challenges:
Skills & Requirements:
Mandatory:

Solid hands on experience in a full lifecycle Data Analytics projects
Solid foundation in Big Data Technology – Client, Hadoop related stacks, Data Processing, Governance, Analysis Mechanisms (Statistics, NLP & Visual) & Machine Learning
Solid knowledge and experience Azure Data Analytics services such as but not limited to Azure Data Factory, Azure Databricks, Azure Data Lakes, Azure SQL Datawarehouse, Azure Analysis services, Stream Analytics, Azure Client/AI, Cognitive etc.
Knowledge and experience in Data ingestion tools like Streamsets, Aspera, IOT Hub/Even Hub, Kafka
Knowledge and experience in Data visualization and other tools like Power BI, Alteryx
Experience in building application deployment automation using CI/CD tools and other industry standard deployment and configuration tools.
Solid experience with D&A technologies, architectures and patterns.
In depth knowledge and experience with D&A solutions, reference architectures, DevOps models, Security, Scripting, Automation
Demonstrated capacity to use standard modelling approaches, tools and model repositories
Highly motivated and technically savvy
Experience working in an Agile environment
Substantial experience in IT roles such as Implementation, operations, consultancy, business analysis & D&A architecture

Preferred:

A university degree, preferably in Information Technology, Information Management, Software Engineering, Statistics, Mathematics or related field
Holds PMP, PRINCE, SCRUM or Big Data Analytics related certifications
At least 8 years’ experience in roles where they held similar accountabilities to those listed above –with ‘enterprise scale’ solutions
Strong interpersonal/communication skills, both oral and written. Good storytelling capabilities