Wakefield, Yorkshire, United Kingdom Hybrid / WFH Options
Flippa.com
Continuous integration/deployments, (CI/CD) automation, rigorous code reviews, documentation as communication. Preferred Qualifications Familiar with data manipulation and experience with Python libraries like Flask, FastAPI, Pandas, PySpark, PyTorch, to name a few. Proficiency in statistics and/or machine learning libraries like NumPy, matplotlib, seaborn, scikit-learn, etc. Experience in building ETL/ELT processes and More ❯
Databricks environments and developing lakehouse architectures with a focus on automation, performance tuning, cost optimisation, and system reliability. Proven proficiency in programming languages such as Python, T-SQL, and PySpark, with practical knowledge of test-driven development. Demonstrated capability in building secure, scalable data solutions on Azure with an in-depth understanding of data security and regulatory compliance, using More ❯
and motivated Data Engineer to play a key role in the creation of a brand-new data platform within the Azure ecosystem including Azure Data Factory (ADF), Synapse and PySpark/Databricks and Snowflake. You will be a data ingestion and ETL Pipeline guru, tackling complex problems at source in order to retrieve the data and ensure to can … unless you have skills and desire to work on data ingestion, ETL/ELT. Key Responsibilities Build & Develop robust ETL/Data Ingestion pipelines leveraging Azure Data Factory, Synapse, PySpark and Python. Connect APIs, databases, and data streams to the platform, implementing ETL/ELT processes. Data Integrity – Embed quality measures, monitoring, and alerting mechanisms. CI/CD & Automation More ❯
in Azure (Data Factory and SQL) Building workflows in SQL, Spark and DBT Data and dimensional modelling Skills & Qualifications Azure Data factory, Synapse and SSIS Python/Park/PySpark Ideally Snowflake and DBT More ❯
