Data Science Software Engineer

Company DescriptionWood Mackenzie are the global research, analytics, and consultancy business powering the natural resources industry. For 50 years, we have been providing the quality data, analytics, and insights our customers rely on to inspire their decision making.Our dedicated oil, gas & LNG, power & renewables, chemicals, metals & mining sector teams are located around the world and deliver a variety of projects based on our assessment and valuation of thousands of individual assets, companies, and economic indicators such as market supply, demand, and price trends.We have over 1,900 employees in 30 locations, serving customers in nearly 80 countries. Together, we inspire and innovate the markets we serve - providing invaluable intelligence to help our customers overcome the toughest challenges, and make strategic decisions that will, ultimately, accelerate the world’s transition to a more sustainable future.**Wood Mackenzie brand video****Job Description**:**Role Purpose**As a data science software engineer at Wood Mackenzie, you will lead projects and work with our top financial analytics in the energy industry both from internal and external clients to provide data insights to them to make important investment recommendations or decisions. You would see the immediate impact of your work with the effort you put in. You will be challenged to continue adopting and developing cutting-edge digital technologies on software, as well as data platforms. You will be the best in the field from working on our team and leading and contributing to our initiatives.**Main Responsibilities**- Form a strong understanding of the data landscape, and implement CI/CD process for business data, customers, and products- Provide specialist skills in big data distributed processing, analysis, visualization and data operation management, delivering new Analytics through connected datasets and integrated pipelines- Advocate for quality, take responsibility for the ownership of data and whilst fulfilling complex data requests on time and with high standards- Identify, prioritize, and document opportunities for efficiency, optimization, migration, or improvement in our systems, processes, and datasets- Work in a collaborative manner to foster an environment of continuous improvement and incremental delivery, measuring success- Core user of Data/GIS platform and ensures best practices are applied to utilize or maintain databases, tools, models, and processes solutions from data sourcing to client delivery- Collaborate with cross-functional to deliver Data Assets**Qualifications**:**About You**- Required (or must have) qualifications/skills:- Familiar with the software development lifecycle including architect review, unit test, software deployment and CI/CD process.- Strong object-oriented programming skills and proficiency in Python.- Expert knowledge of relational databases- Proven knowledge in large-scale data warehousing and analytics technologies, including using AWS major technologies - such as Glue, Athena, Redshift, S3, EC2, Data-pipeline and other big data technologies.- Advanced skill with data mining, extracting and parsing data using various formats like Parquet, Json, Xml, Avro etc.- Preferred (or nice to have) qualifications/skills- Knowledge about oil and gas industry including drilling/production operations and/or equipment- In-depth knowledge of building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets using technologies such as Spark- Knowledge on real-time data streaming systems such as Kafka and Spark Streaming.**Additional InformationWood Mackenzie is an equal opportunities employer.We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran’s status, age or disability.Consumer Privacy Notice