Senior Data Engineer

Job not on LinkedIn

🕒 July 9

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Castillians

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2006

Castillians is a company whose publicly available text is inaccessible without JavaScript; the provided content only shows a message asking the user to enable JavaScript. No information about the company's product, services, industry, or target customers can be determined from this text alone.

📋 Description

• Be part of our Global Engineering Network! • Lead the end-to-end design, development, and optimization of complex, large-scale data pipelines and ETL/ELT processes on Azure and Databricks. • Architect robust, scalable, and secure data platforms that can support enterprise-grade analytics and advanced data science workloads. • Drive integration initiatives with diverse and high-volume data sources, ensuring seamless interoperability across systems. • Apply deep expertise to optimize processing performance, scalability, and cost efficiency in cloud environments. • Champion best practices in data quality, governance, lineage, and security, ensuring compliance with regulatory standards. • Collaborate closely with senior stakeholders, translating business needs into technical strategies and data solutions. • Produce and maintain detailed, high-quality documentation for complex data architectures, pipelines, and operational workflows. • Mentor, guide, and upskill junior and mid-level data engineers, fostering a culture of technical excellence. • Evaluate and implement emerging technologies, tools, and patterns to continually enhance the data engineering ecosystem.

🎯 Requirements

• 5+ years of professional experience in data engineering, with a proven record of delivering enterprise-scale data solutions. • Proven experience designing and implementing cloud-based data engineering solutions using the Microsoft Azure ecosystem. • Strong expertise in one or more of the following platforms: Microsoft Fabric, Azure Synapse Analytics, Azure Databricks. • Experience with supporting Azure data services, including: Azure Data Lake Storage, Azure SQL Database, Azure Cosmos DB, Microsoft Purview, Power BI. • Strong understanding of modern data engineering principles, including ETL/ELT design, data modelling, data integration, and pipeline optimisation. • Experience building scalable, reliable, and maintainable data pipelines. • Knowledge of data quality, testing, monitoring, and governance best practices. • Working knowledge of Azure infrastructure components, including: Azure Networking, Microsoft Entra ID (Azure Active Directory), ARM Templates, Bicep, Terraform. • Experience implementing CI/CD pipelines for data solutions. • Familiarity with tools such as: Azure DevOps, GitHub, Microsoft Fabric deployment pipelines. • Understanding of version control and automated deployment practices.

🏖️ Benefits

• Clear scope with no ambiguity over deliverables. • Opportunity for repeat engagements based on performance.