Data Engineer (AWS, Central Location)

Our client is looking for a Senior Data Engineer to design, build and operate enterprise-grade data platforms supporting analytics, data science and digital products. The role will contribute to data architecture, engineering standards and technical decision-making in a complex enterprise environment. Responsibilities • Design, build and maintain scalable data architectures and pipelines for data ingestion, transformation and delivery. • Develop robust data models and reusable data capabilities for analysts, data scientists and applications. • Improve the reliability, security, performance, observability and maintainability of data platforms. • Evaluate technologies and architectural approaches, making sound technical trade-offs and contributing to engineering standards. • Champion modern engineering practices including automated testing, code reviews, CI/CD and Infrastructure-as-Code. • Collaborate with engineers, Product Managers, Data Scientists and analysts, while providing technical leadership, mentoring and knowledge sharing. Requirements • 7+ years of experience in software/data engineering with strong Python and SQL skills. • Experience with AWS and modern data platforms such as Redshift, Snowflake, Databricks or BigQuery. • Strong experience in enterprise data architecture and engineering, including production data systems. • Hands‑on experience designing data pipelines, data models, data warehouses, data lakes or lakehouse architectures. • Experience with data orchestration, transformation and modelling. • Strong understanding of production engineering practices including testing, CI/CD, monitoring, troubleshooting and data quality. Good to Have • Experience with Apache Airflow, dbt and/or Apache Spark. • Strong knowledge of AWS data services and cloud infrastructure. • Experience with Tableau, Power BI or similar BI tools. • Knowledge of Infrastructure-as-Code, data observability, metadata, data catalogues or data lineage. • Experience working with sensitive or regulated data. #J-18808-Ljbffr