Data Engineer (Ref: 196942)

Title: Data Engineer Location: Miami, Florida (On-site) Salary: Competitive + Benefits / Contract Considered Contact: charley.may@forsythbarnes.com Overvie wWe are partnered with a market-leading consumer products organisation recognised globally for its premium beverage portfolio, trusted by leading bars, restaurants, retailers, hospitality groups, cruise lines, and airlines worldwide . As part of its ongoing technology and AI transformation, the business is seeking a Data Engineer to help modernise its data platform and establish the foundations for a scalable AI & Data Centre of Excellence. Working closely with technology and business stakeholders, this individual will play a key role in building reliable, high-quality data pipelines that enable advanced analytics, AI initiatives, and data-driven decision-making across the organisatio n. This opportunity is suited to a hands-on Data Engineer who enjoys solving complex data challenges, building modern cloud-based data solutions, and contributing to the future of AI-enabled business capabiliti es. Key Requirem • entsProven experience designing, building, and maintaining scalable data pipelines and data integration solut • ionsStrong hands-on experience with SQL and Py • thonExperience working with Databricks, dbt, and modern cloud data platf • ormsStrong understanding of data modelling, ETL/ELT, data warehousing, and analytics engineering best pract • icesExperience integrating data from multiple business systems and third-party applicat • ionsAbility to optimise data quality, reliability, performance, and scalability across the data plat • formExposure to cloud-based data architectures and modern engineering framew • orksStrong problem-solving skills with the ability to work independently in a fast-paced environ • mentComfortable collaborating with cross-functional teams to deliver reliable data solutions that support business object • ivesInterest in modern AI technologies and enabling high-quality data foundations for AI and analytics initiat ives Preferred Exper • ienceExperience within consumer products, food & beverage, CPG, retail, or manufacturing environ • mentsExperience working with ERP platforms, ideally Net • SuiteExposure to Machine Learning, AI, or Generative AI data work • flowsExperience supporting Business Intelligence and self-service analytics platforms, including Pow • er BIKnowledge of data governance, data quality, and metadata management best prac • ticesExperience building and maintaining cloud-based data lakes or lakehouse architec • turesPrevious experience working within a high-growth or founder-led organis • ationExperience working alongside Analytics, Data Science, or AI teams to deliver production-ready data solu • tionsPassion for modernising data platforms and enabling AI-driven business transform ation