3 of 3 Permanent Dagster Jobs in the UK excluding London

stored, organized, and accessed in the most efficient and effective manner. Your Toolkit The Languages You Speak : Python, SQL, the dialect of data. Libraries Tools : Terraform, Flask, Pandas, FastAPI, Dagster, GraphQL, SQLAlchemy, GitLab, Athena. Your Trusted Companions : Docker, Snowflake, MongoDB, Relational Databases (eg MySQL, PostgreSQL), Dagster, Airflow/Luigi, Spark, Kubernetes. Your AWS Kingdom : Lambda, Redshift, EC2, ELB … in statistics and/or machine learning libraries like NumPy, matplotlib, seaborn, scikit-learn, etc. Experience in building ETL/ELT processes and data pipelines with platforms like Airflow, Dagster, or Luigi. What's important for us: Academically Grounded : Bachelor's or Master's degree in Computer Science, Data Engineering, or related field. Seasoned Practitioner : 5+ years of experience More ❯

if not? We’ll help you get there: Understanding of cloud computing security concepts Proficiency with IaC tools like Terraform or CloudFormation. Experience with workflow orchestration tools (e.g., Airflow, Dagster). Good understanding of Cloud providers – AWS, Microsoft Azure, Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in Agile environments with tools like Jira and Git. About More ❯

Lead Data Platform Engineer | Energy Trading | Python, Snowflake, Dagster, & AWS | Up to £140,000 + Benefits | Hybrid – London A Lead Data Platform Engineer is required to join a fast-growing Commodities Trading firm at the forefront of the global Oil & Gas markets. As part of their continued investment in data and analytics, they're scaling their Enterprise Data Platform … business. You'll be hands-on with modern data technologies, while also mentoring, coaching, and guiding the team in delivering scalable, high-performance solutions. Key Tech Stack: Python, Snowflake, Dagster, Kafka Terraform, CI/CD, AWS (and some on-prem) Key Responsibilities: Lead, mentor, and manage a team of 5 Data Engineers, fostering a high-performing and collaborative culture. More ❯