Data Engineer

Join to apply for the Data Engineer role at Orca Pacific: A Monks Company Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. As Monks continues to expand our Global Enterprise Analytics capabilities, we are looking for someone to help us further scale our capabilities. In this role, one will be responsible for a variety of projects. These include but are not limited to developing, implementing and maintaining data pipelines, systems, and models to enable data-driven decision making. This also includes supporting junior members in developing measurement frameworks, test and learn roadmaps, dashboard and data visualization builds, and audience segmentation. We are looking for someone who is experienced and familiar with the following tools: Strong programming skills in SQL, Python, R, or other programming languages Experience with SQL and NoSQL databases Knowledge of ETL tools such as Google BigQuery, Funnel.io, and Tableau Prep Business Intelligence (Tableau, Looker, Google Looker Studio, Power BI, Datorama, etc.) Analytics platforms UIs / APIs (Google Analytics, Adobe, etc.) Media reporting UIs / APIs (DV360, SA360, Meta, etc.) Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform is a plus Monks is a cross-functional organisation; our analysts work closely with other teams across data, media, strategy, and consulting to ensure client projects are completed with the highest quality. What We Are Looking For A Bachelor’s or Master’s degree in computer science, operations research, statistics, applied mathematics, management information systems, or a related quantitative field or equivalent work experience 3+ years of experience with any combination of analytics, marketing analytics, and analytic techniques for marketing, customer, and business applications Hands-on experience using SQL, Google BigQuery, Python, R, and Google Cloud (GCP) related products Hands-on experience working with common ETL tools Hands-on experience using Tableau, Datorama, and other common visualization tools Expertise across programmatic display, video, native, and ad serving technology, as well as digital advertising reporting, measurement, and attribution tools Adept to agile methodologies and well-versed in applying DataOps methods to the construction of pipelines and delivery Demonstrated ability to effectively operate both independently and in a team environment Advanced level of English, you will be supporting a team in the US. Responsibilities Design, develop and maintain complex data pipelines and systems to process large volumes of data Collaborate with cross-functional teams to gather requirements, identify data sources, and ensure data quality Architect data solutions that are scalable, reliable, and secure, and meet business requirements Develop and maintain data models, ETL processes, and data integration strategies Design and implement data governance policies and procedures to ensure data accuracy, consistency, and security Create visualizations and reports to communicate insights to stakeholders across multiple data streams Collaborate as part of a team to drive analyses and insights that lead to more informed decisions and improved business performance Work with other teams to ensure teamwork and timely delivery of client projects About Monks Monks is the global, purely digital, unitary operating brand of S4Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. #J-18808-Ljbffr