/CD skills to automate the development lifecycle: proficiency with Github Actions preferred. Advanced proficiency in Python for data engineering tasks. Experience with data orchestration tools such as Airflow, Dagster, or similar. Solid understanding of data governance, security principles, and privacy best practices, ideally in regulated or sensitive data environments. Experience with dbt for data modelling and quality testing. More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
with Git Strong communicator, eager to learn, and naturally curious Comfortable working across multiple business areas with varied responsibilities Nice-to-Haves Exposure to tools like Prefect , Airflow , or Dagster Familiarity with Azure SQL , Snowflake , or dbt Tech Stack/Tools Python SQL (on-prem + Azure SQL Data Warehouse) Git Benefits £35,000 - £40,000 starting salary (up More ❯
and development of a new global data platform (PaaS) Ensure scalable storage solutions (data lakes, data warehouses) to handle structured and unstructured data. Implement ETL/ELT pipelines using Dagster, Airflow, or similar tools. Optimize performance and scalability for large data volumes. Govern data security, compliance, and access controls. Development & DevOps: Strong programming and scripting skills in Python. Knowledge More ❯
at the client's office, which is located in London. Key Responsibilities: Data Pipeline Development & Maintenance Build, maintain, and optimize scalable ETL/ELT pipelines using tools such as Dagster, or similar. Ensure high data availability, reliability, and consistency through rigorous data validation and monitoring practices. Collaborate with cross-functional teams to align data pipeline requirements with business objectives … experience in query optimization and data modelling. Strong programming skills in Python (preferred), with a focus on building scalable data solutions. Experience with data pipeline orchestration tools such as Dagster or similar. Familiarity with cloud platforms (e.g. AWS) and their data services (e.g., S3, Redshift, Snowflake). Understanding of data warehousing concepts and experience with modern warehousing solutions. Experience More ❯
BI tools such as Lightdash, Looker or Tableau Comfortable with version control, testing frameworks, and CI/CD in a data context Familiarity with Python and orchestration tools like Dagster or Airflow is highly desirable Experience with Ecommerce and/or Subscription services is desirable The Interview Process Meet & Greet Call with a Talent Partner Call with the Hiring More ❯
