Lead Data Engineer |

hace 3 semanas

Barcelona, España News A tiempo completo

Company Overview: OPIS, a Dow Jones company, is one of the world's most comprehensive sources for petroleum pricing and news information. OPIS provides real-time and historical spot, wholesale/rack and retail fuel prices for the refined products, renewable fuels, and natural gas and gas liquids (LPG) industries. We deliver award-winning news, market intelligence, and transparency to the entire refined energy marketplace and companies looking to go carbon neutral. At its core, OPIS uses a set of complex IT systems and tools, handling huge amounts of data in a reliable way, and providing customers with business applications to use this data as efficiently as possible. Your Role: We are looking for a Lead Data Engineer that will design, develop, and maintain database architecture and code initiatives supporting internal and third-party software solutions, delivering excellent products in scope and on time, and meeting current and long-term business needs for the business area. This role is pivotal in delivering high-quality, performant, and compliant data solutions that meet the business's current and future needs, particularly for our energy commodities and pricing business units. Participate in an agile team of motivated, driven, high-energy engineers, building trust and confidence with team members and business stakeholders. Lead, mentor, and coach other data engineers to build stronger and faster teams. Your Responsibilities: As a solution-oriented Lead Data Engineer, you will lead efforts in Data Governance, focusing on data ingestion into Snowflake, master and reference data management, and data quality automation for our price reporting teams. You will deploy, administer, and enhance data models for metadata and master data systems, collaborating closely with product teams to deliver timely, effective, high-performance solutions. This role involves designing scalable data architectures and automated pipelines for efficient data ingestion and quality assurance. By delivering solutions for business data requirements, identifying data needs, and sourcing relevant data, you will enable architectures that support product enhancements and revenue generation. As a leader, you will coach and mentor team members, driving individual and team development. Future opportunities include thought leadership for using AI to automate internal processes. #J-18808-Ljbffr

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