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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer (Snowflake) - **Company:** Ethiq - **Location:** UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Big Data, Continuous Integration, Information Engineering, Data Governance, Data Integrity, Data Transformation, Data Visualization, Data Warehousing, DevOps, Python (Programming Language), Machine Learning, Cloud Services, Azure Machine Learning, SQL Databases, Data Streaming, Systems Integration, Workflow Management Systems, Data Storage Technologies, Snowflake, Semi-structured Data, Infrastructure Automation Frameworks, Apache Kafka, Data Management, Software Coding, Terraform, Data Pipelines - **Published:** August 30, 2026 - **Apply:** https://www.collegerecruiter.com/job/2815451518-data-engineer-snowflake ## About the Role * 5+ years of experience in data engineering or related roles. * Strong expertise in Snowflake, SQL, and cloud data platforms (AWS, Azure, or GCP). * Proficiency in Python for data transformation and automation. * Experience with ELT development and orchestration tools (e.g. dbt, Airflow, Prefect). * Knowledge of data modelling, data warehousing, and modern analytics architectures. * Familiarity with DevOps practices, CI/CD pipelines, and infrastructure-as-code. * Strong problem-solving skills and the ability to work in fast-paced environments. * Excellent communication and stakeholder management skills., * Experience integrating Snowflake with data visualisation or ML platforms. * Knowledge of data streaming technologies such as Kafka or Kinesis. * Familiarity with Terraform or similar infrastructure automation tools. * Previous experience in consulting or client-facing delivery roles. ## Description As a Data Engineer (Snowflake), you will be responsible for designing, implementing, and optimising large-scale data processing systems. You'll work closely with clients, data scientists, and solution architects to build efficient data pipelines, reliable infrastructure, and scalable analytics capabilities. This role requires strong technical expertise, problem-solving ability, and the confidence to work in a dynamic, client-facing environment. Your Impact: * Develop, implement, and optimise data pipelines and ELT processes on Snowflake. * Work closely with clients to understand business requirements and translate them into technical solutions. * Design and implement scalable, high-performance cloud data architectures. * Ensure data integrity, quality, and security through robust engineering practices. * Monitor, troubleshoot, and optimise data workflows for efficiency and cost-effectiveness. * Collaborate with data scientists and analysts to enable analytics and machine-learning solutions. * Contribute to best practices, coding standards, and documentation to improve data engineering processes. * Mentor junior engineers and support knowledge-sharing across teams., * Design, build, and maintain scalable data pipelines using Snowflake, dbt, and SQL. * Develop efficient ELT workflows to process large volumes of structured and semi-structured data. * Implement data governance, security, and compliance standards within Snowflake environments. * Work with cloud platforms such as AWS, Azure, or GCP to manage data storage and integration. * Collaborate with cross-functional teams to enhance data accessibility and usability. * Optimise data warehouse architectures for performance, scalability, and cost efficiency. * Maintain and improve CI/CD processes for data pipeline deployment and monitoring. ## Related Videos - [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) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [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) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [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) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [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) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)