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.