Senior Data Engineer / USA

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Purpose and Accountabilities:

Work together with the Solution and Data Architect to design the next generation of data platforms.
Design and implement data solutions which supports high amounts- and velocity of data, supports future growth, use latest data technologies/techniques, is cloud supported and in-line with Shell's strategies.
Design and implement modern data pipelines to extract, clean and process data in batch and real-time from different data sources.
Use the latest development, testing and deployment techniques to quickly deploy new releases to e.g. deploy new data pipelines and add data sources.
Help establish best practices around data governance, data security- and privacy (GDPR).
Drives and applies Agile Framework within his/her operating environment. Will take direct reports, when applicable, through Agile Framework and its respective tools.

Dimensions

The Data Engineer will report into the Application Delivery Lead
Commercial Awareness - Influence on programme scope of $USD 2M+
Stakeholder management - typically works within cross- functional teams.
Strong collaboration skills to ensure teams are all working towards the same goals.
Highly customer focused and fast paced environment.
Passion to lead others directly and indirectly into the new Data Engineering career development

Special Challenges

Able to deal with state of the art, differentiated and often unproven technologies which require some learning on the job
Comfortable with sometimes vague and changing scope and priorities in a rapidly changing environment
Ability to interact and build relationships both within Shell (IT & Business teams) and external software suppliers.
Fast adaptability to the every fast and changing environment within Shell-Digital and in the external market.

Skills & Requirements

Education
Bachelor or master degree in information technology, computer science, data management business administration or a related discipline.

Relevant Experience

10+ years' experience with data platforms; working with large data sets, large amounts of data in motion and numerous big data technologies.
At least 3 to 5 years' experience in leading teams/Resources.
Knowledge and understanding of Trading and Supply businesses
Auto software deployment technologies (e.g. Jenkins, Docker, Git)
Experience with Cloud (AWS, Microsoft Azure).
Hadoop/Spark-based technologies (e.g. Spark, MapReduce).
NoSQL-based technologies (e.g. Cassandra, HBASE, MongoDB).
Awareness of Agile Framework and its tools such as Visual Studio Team Services (VSTS)
Data pipelining-based technologies (e.g. KAFKA, StreamSets, Talend, ADFv2).

Core Experiences

Leadership skills

Have strong interpersonal, communication, facilitation and presentation skills. Is highly experienced in communicating with business at all levels.
Comfortable to work with global stakeholders, internally and externally.
Experience of working in a global business environment/different cultures.
Ability to work under pressure with tight deadlines and balancing multiple priorities.
Strong analytical and communications skills required.

Other:

70 Brunswick Street
Stockton on Tees
Cleveland
TS18 1DW