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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Engineers - **Company:** UK, LLC - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Agile Methodology, Artificial Intelligence, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Data Validation, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Structures, Data Warehousing, DevOps, Information Sciences, Python (Programming Language), SQL Azure, NoSQL, Microsoft PowerPoint, Systems Development Life Cycle, Azure Active Directory, Azure Data Lake, Software Engineering, SQL Databases, Systems Integration, Data Processing, Google Cloud, Data Storage Technologies, Cloud Platform System, Data Ingestion, Azure Data Factory, ReactJS, Snowflake, Apache Spark, Data Analytics, Cosmos DB, Azure AKS, Data Management, Api Design, Data Pipelines, Databricks - **Published:** August 7, 2026 - **Apply:** https://www.dice.com/job-detail/45c14d05-0312-4bed-ad7a-22abe8870bb3 ## About the Role Basic Qualification: Bachelor of Engineering or Equivalent, Full-time job to work with Exusia's clients to design and develop the system components for the extract and transform or conversion of data from various source systems to the target applications; Create data structures or data models that support data across all stages of the extract, transform and load process. Should have good hands on experience in implementing the parallel and sequence jobs using Snowflake and or or Azure or Databricks or Spark or Scala. Analyzing, developing, monitoring and administration of the ETL process using any tool. Experience working with on-shore/off-shore delivery model is a big plus. The Lead Data Engineer will implement monitoring solutions, optimize ETL jobs for performance, and provide comprehensive support from data ingestion to final output. With in-depth knowledge of the Databricks platform and strong analytical skills, this position will significantly enhance the department's ability to deliver high quality, data-driven insights and solutions. Criteria for the Role! Have a minimum of 6+ years' experience working as a Azure Databricks Developer in to a data analytics domain Azure Databricks Specific 4+ years of experience in Azure services and in Databricks (ADLS, ADF, DevOps, etc.) 10+ years of experience in designing and implementing ETL/ELT pipelines using ADF, integrating with other Azure services. 7+ years of Python development experience. Should have capability of developing own libraries 4+ years of experience in Snowflake or SQL experience (No-SQL experience is a plus) Experience designing, building, and maintaining data processing systems Experience with or knowledge of Agile Software Development methodologies Education Qualification - Bachelor of Science (preferably in Computer and Information Sciences or Business Information Technology) or an Engineering degree in the above areas, Automate data integration and transformation processes using Azure DevOps and CI/CD pipelines. Stay up-to-date with emerging Azure technologies and data engineering trends. Deep understanding of data management, data governance, cloud and AI technologies, and their application in a business context. Excellent problem solving and troubleshooting skills Excellent oral and written communication skills Strong analytical and problem-solving skills Data experience working with multiple, large datasets / big data Demonstrated experience in effectively working with multiple projects and activities in a timely, organized manner Demonstrated experience in organizing and prioritizing work, meeting deadlines and working independently as well as collaboratively with others Experience with Excel and PowerPoint. Requirements Nice - to - have Skills: 2+ years of experience with Azure stack example Azure Kubernetes Service (AKS), Cosmos DB Understanding on cloud streaming technique Google Cloud Platform, Snowpipe Experience in designing API development and integrating with React JS within cloud platform Leverage modern technologies, such as AI and ML Must have strong DWH and ETL basics Should have basic loud knowledge - Storage and Compute Work with business stakeholders to gather and analyze business requirements, building a solid understanding of the Data Analytics domain Document, discuss and resolve business, data and reporting issues within the team, across functional teams, and with business stakeholders Support all phases of the software development lifecycle (SDLC) Present written and verbal data analysis findings, to both the project team and business stakeholders Manage changing priorities and work on multiple projects concurrently Be self-motivated and proactive in a fast-paced environment and flexible to work ## Description Design, develop, and maintain data pipelines and ETL processes using Azure Data Factory, Azure Databricks Build and optimize data storage solutions using Azure Data Lake, Azure SQL Database, and Azure Cosmos DB or Vector DB Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions. Implement data quality checks, data governance, and security best practices across data platforms. Monitor, troubleshoot, and optimize data workflows for performance and scalability. ## Related Videos - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)