4 of 4 Permanent Great Expectations Jobs in the UK

deployment practices using tools like GitHub Actions and ArgoCD, enhancing software development and quality assurance. Testing Tools and Frameworks: Experienced with data quality and testing frameworks such as DBT, Great Expectations, and Soda, ensuring the reliability of complex data systems. Commercial Application of Data Engineering Expertise: Demonstrated experience in applying data engineering skills across various industries and organisations More ❯

cannot sponsor visas) Ability to work from Central London office 3 days/week (we believe in-person collaboration is crucial at this early stage) You may be a great fit if you have experience with any of the following... Workflow orchestration tooling (e.g. Prefect, Airflow, Dagster) Experience with cloud data warehouses (e.g. BigQuery, Snowflake, Redshift) Data transformation tools … e.g. dbt) and data quality frameworks (e.g. Great Expectations) Backend Python frameworks (e.g. Django, FastAPI, Flask) for API development Modern data processing libraries (e.g. Polars, DuckDB) Infrastructure-as-Code (e.g. Terraform, Pulumi) and containerization (e.g. Docker) Open source contributions, or conference talks Ad-tech/mobile app analytics/subscription business experience You don't need to be … mins): Meet both founders for us to understand your motivations and career goals, and for you to ask questions. We want to know that you'll be a great fit for our team, but we also want to help you achieve your goals too. Please ensure Workable is not included in your email spam filter. Benefits Compensation & Benefits Base More ❯

markets processes. Technical & Analytical Skills Hands-on experience with large data sets and data profiling. Proficiency in data tools: Power BI, Excel, SQL, Python, Databricks. Familiarity with tools like Great Expectations, Pandas, Plotly, or MS Power Automate is a plus. Able to work collaboratively and independently in a fast-paced environment. Ready to Apply? If you're excited More ❯

markets processes. Technical & Analytical Skills Hands-on experience with large data sets and data profiling. Proficiency in data tools: Power BI, Excel, SQL, Python, Databricks. Familiarity with tools like Great Expectations, Pandas, Plotly, or MS Power Automate is a plus. Able to work collaboratively and independently in a fast-paced environment. Ready to Apply? If you're excited More ❯