Data Engineer

• Tou must be able to integrate, rearrange and consolidate large volumes of data over many systems, providing a new unified information base for business intelligence.
• You must be able to develop, construct, test and maintain architectures, such as databases and large-scale processing systems.
• Creates data sets by extracting large amounts of raw data from multiple different operational systems and copying into a data warehouse, application or database system
• Cleans data to identify and remove human, machine or instrument errors, validate records, apply formatting and remove codes that are system-specific.
• Well-versed with advanced data cleaning algorithms, practices and be able to fill missing data as per the domain requirements
• Transforms data between different schema formats (well-defined, quasi-defined and undefined), be able to handle schema drifts.
• Recommend and implement ways to improve data reliability, efficiency, and quality. 
• Employ a variety of languages and tools to marry systems together or try to hunt down opportunities to acquire new data from other systems.
• Ensure that the architecture that is in place supports the requirements of the data scientists and the client.
• Develop data set processes for data modeling, mining, and production.
• Employ data governance and cataloging practices to improve data gathering, usage maturities within business units.

University Degree or Technical Diploma in the field of Computer Science or another Technical field - Essential

Knowledge, skills and experience

• 7-12 years of cumulative experience in data engineering.
• Excellent knowledge of T-SQL, Power Query, Hive, Spark SQL querying languages.
• Experience with dealing data that is relational, key-value pairs, documents, non-structured and non-linear data.
• Experience with ingesting, processing and reporting on time-series data.
• Excellent command on data visualization using PowerBI or equivalent visualization solutions
• Solid understanding of mathematical concepts of data representation, summarization and statistical measures and reporting.
• Extensive knowledge of data processing, hardware platforms, software applications, and outsourced systems
• Excellent understanding of project management principles.
• In-depth knowledge of applicable laws and regulations as they relate to data ownership and transfer issues.
• Exposure to advancements on data engineering practices and new frameworks and methodologies.
• Excellent practitioner of engineering data using data pipelines like Azure Data Factory.
• Solid understanding of foundational data structure algorithms and practical knowledge of implementing them in the business context.
• Excellent practitioner of integrating machine learning into data pre-processing, processing pipelines.

Personal attributes

• Strong interpersonal and communication skills, with the ability to communicate with non-technical staff over technical issues.
• High levels of integrity and ability to work autonomously in a fast-paced environment and provide leadership to those around them.
• A strong and positive customer service attitude.
• Passionate about delivering a first-class service and the drive to resolve incidents quickly and to the customer’s satisfaction.
• A strong drive to continuously improve self around professional and personal development.

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.