Wood is currently recruiting for a Graduate Data Engineer to be based in Dubai on a permanent contract/assignment.
The successful candidate should be able to peform the below duties and responsibilities;
Primary Role:
Support the design, development and deployment of data mining algorithms to solve data management challenges, including data scraping and cleansing
Support the design, development and deployment of web-based and desktop-based applications
Support our system engineers in assembling large, complex datasets
Participate in integrity, maintenance and reliability and digital twin systems configuration and implementation projects
Participate in requirement gathering sessions and developing data modelling specifications
Participate in the design, development and deployment of Machine Learning and Deep Learning models to solve maintenance and reliability challenges
Individual responsibilities will be commensurate with capabilities and experience level
candidates must demonstrate that they:
Possess a questioning mind, brimming with bright ideas that they are able to articulate and share
Be a critical thinker with strong analytical, critical reasoning and problem solving skills
Be comfortable with manipulating and combining large, high dimensional datasets from multiple sources
Have an ability to interpret findings and identify key insights to communicate to a non-technical audience
Have demonstrated experience building relationships with internal and/or external stakeholders
Be passionate about delivering high quality work
Are interested in programming, software testing and database management activities in office based environment
Able to work under close supervision, provide design assistance to the teams
Can resolve specialty related data science issues by applying accepted sense, principles, codes, and innovative ideas
Are interested in learning and understanding of oil & gas business required for the job
Have thorough knowledge of computer programming, cloud platforms, APIs, database setup and management
Able and willing to work collaboratively within team based environment with good communication
Can handle and propose easy graphic user interface and graphic design skills for presentations and software / database front ends. Skills / Qualifications:
Degree in a data-oriented field like Software Engineering, Statistics, Economics or Computer Science and / or a tertiary qualification in Mechanical, Mechatronics or Process engineering
No prior experience is required
Knowledge of statistics, data engineering, data science, statistical concepts such as regression, time series, mixed model, Bayesian, clustering to analyse data and provide insights
Deep working knowledge of MS Office, Visual Basic, Oracle and SQL is mandatory
Scripting ability in Python, PHP or similar is preferable
Programming ability in a compiled language (C/C++, C# etc.) is preferable
Familiarity with Graphic and User Interface design is preferable
Working knowledge of AI & ML is preferable
Understanding of agile development methodologies
Self-motivated, enthusiastic and committed to delivering first class technology engineering services
Excellent English language skills and effective communication capability both written and verbal
Effective interpersonal skills and an ability to relate to those in a wide range of organisation positions
Demonstrated ability to understand complex problems and help identify practical and technically sound solutions
Company Overview:
Wood is a global leader in consulting and engineering, helping to unlock solutions to critical challenges in energy and materials markets. We provide consulting, projects and operations solutions in 60 countries, employing around 35,000 people. www.woodplc.com Diversity Statement:
We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.
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