9 of 9 DemandTrendContract PySpark Jobs in the UK excluding London

knowledge sharing sessions and self-development. About You Experience with finance/financial systems and concepts Azure Databricks Azure Data Factory Excellent SQL skills Good Python/Spark/pyspark skills Experience of Kimball Methodology and star schemas (dimensional model). Experience of working with enterprise data warehouse solutions. Experience of working with structured and unstructured data Experience of More ❯

Drive automation and CI/CD practices across the data platform Explore new technologies to improve data ingestion and self-service Essential Skills Azure Databricks : Expert in Spark (SQL, PySpark), Databricks Workflows Data Pipeline Design : Proven experience in scalable ETL/ELT development Azure Services : Data Lake, Blob Storage, Synapse Data Governance : Unity Catalog, access control, metadata management Performance More ❯

the ability to write ad-hoc and complex queries to perform data analysis. Experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc. You will be able to develop solutions in a hybrid data environment (on-Prem and Cloud). Hands on experience with developing data pipelines for structured, semi-structured More ❯

and dimensional data models, and contribute to fostering a culture of innovation and evidence led decision-making. Experience Required: ·Essential experience with Azure Databricks - including Unity Catalog, Python (ideally PySpark), and SQL. ·Practical knowledge of modern ELT workflows, with a focus on the Extract and Load stages. ·Experience working across both technical and non-technical teams, with the ability More ❯

and dimensional data models, and contribute to fostering a culture of innovation and evidence led decision-making. Experience Required: Essential experience with Azure Databricks - including Unity Catalog, Python (ideally PySpark), and SQL. Practical knowledge of modern ELT workflows, with a focus on the Extract and Load stages. Experience working across both technical and non-technical teams, with the ability More ❯

and dimensional data models, and contribute to fostering a culture of innovation and evidence led decision-making. Experience Required: Essential experience with Azure Databricks - including Unity Catalog, Python (ideally PySpark), and SQL. Practical knowledgeof modern ELT workflows, with a focus on the Extract and Load stages. Experience working across both technical and non-technical teams, with the ability to More ❯

data architecture, data modelling, and big data platforms. Proven expertise in Lakehouse Architecture, particularly with Databricks. Hands-on experience with tools such as Azure Data Factory, Unity Catalog, Synapse, PySpark, Power BI, SQL Server, Cosmos DB, and Python. In-depth knowledge of data governance frameworks and best practices. Solid understanding of cloud-native architectures and microservices in data environments. More ❯

with a focus on performance, scalability, and reliability. Responsibilities Design and implement robust data migration pipelines using Azure Data Factory, Synapse Analytics, and Databricks Develop scalable ETL processes using PySpark and Python Collaborate with stakeholders to understand legacy data structures and ensure accurate mapping and transformation Ensure data quality, governance, and performance throughout the migration lifecycle Document technical processes … and support knowledge transfer to internal teams Required Skills Strong hands-on experience with Azure Data Factory, Synapse, Databricks, PySpark, Python, and SQL Proven track record in delivering data migration projects within Azure environments Ability to work independently and communicate effectively with technical and non-technical stakeholders Previous experience in consultancy or client-facing roles is advantageous More ❯

Do Build & optimise recommendation/personalisation models . Drive incremental targeting beyond repeat-purchase patterns. Apply predictive analytics to customer behaviour & purchase history. Use Python (essential), SQL , and ideally PySpark to deliver insights. Collaborate with Product, Content, and Data Science to align models with business goals. Translate data into clear, actionable insights. (Bonus) Explore AI-driven ad content opportunities. … What We're Looking For Proven experience with predictive modelling/recommender systems . Strong Python & SQL skills (essential). Exposure to PySpark (desirable). Strong communicator with ability to link data to business outcomes. (Bonus) Experience with Generative AI or content automation. More ❯