and Python , applying data engineering best practices such as testing, version control, and CI/CD Hands-on experience building scalable data pipelines in a modern cloud environment (e.g., dbt, AWS Glue, AWS Lake Formation, Apache Spark, Amazon Redshift) Strong understanding of data modeling, ELT design patterns, data governance, and security best practices Bonus . Experience with reverse ETL tools More ❯
manchester, north west england, united kingdom Hybrid / WFH Options
Autotrader
we Don't Expect You To Have Experience With All Of These) Python and Databricks Spark, MLFlow, and Airflow for ML Workflows Google Cloud Platform for our analytics infrastructure dbt and BigQuery for data modelling and warehousing Some examples of our data science work can be found in our engineering blog: Image catergorisation Moving to a A(/B) Bayesian More ❯
Power BI. Proficiency in SQL and data profiling for test design and validation. Hands-on experience with test automation frameworks such as Python/PySpark, Great Expectations, Pytest, or dbt tests. Practical understanding of CI/CD integration (Azure DevOps, GitHub Actions, or similar). Strong problem-solving skills and the ability to work independently as the lead testing specialist. More ❯
Role: Snowflake Engineer/Developer Location: Manchester, UK Work Mode: Permanent - Hybrid - 4 Days/Week (Mandatory) JOB DESCRITION: Mandatory Possess good knowledge in Cloud computing Snowflake DBT airflow Very good working knowledge in data models viz Dimensional Data Model ER Data Model and Data Vault Very good working knowledge in writing SQL queries Very good working knowledge in Snowflake More ❯
