1 to 25 of 83 Databricks Jobs in Leeds

Ability to use wide variety of open-source technologies Knowledge and experience using at least one Data Platform Technology such as Quantexa, Palantir and DataBricks Knowledge of test automation frameworks and ability to automate testing within the pipeline To discuss this or wider Technology roles with our recruitment team, all More ❯

tasks include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions for data ingestion, storage, and transformation to ensure data availability and quality. Writing clean, efficient, and reusable Python code More ❯

senior capacity Demonstrable experience designing and managing metadata-driven frameworks using Azure Data Factory and Azure Databricks. Competence in and hands-on experience managing 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 More ❯

a data analysis role with commercial/business focus. · Strong proficiency with common data analysis tools, with a specific focus on Power BI, SQL, Databricks and Azure data platform. · Experience working with large datasets and developing meaningful business insights. · Ability to translate commercial and operational requests for insight from non More ❯

a data analysis role with commercial/business focus. · Strong proficiency with common data analysis tools, with a specific focus on Power BI, SQL, Databricks and Azure data platform. · Experience working with large datasets and developing meaningful business insights. · Ability to translate commercial and operational requests for insight from non More ❯

with new tools and uses of data. Essential Skills and Experience: Educated to degree level or have equivalent professional experience. Experience of MS Azure Databricks Experience working with Database technologies such as SQL Server, and Data Warehouse Architecture with knowledge of big data, data lakes and NoSQL. Experience following product More ❯

transforming how data powers retail, this is your opportunity. Your Role (Key Responsibilities) Design, build, and optimise robust data pipelines using PySpark, SparkSQL, and Databricks to ingest, transform, and enrich data from a variety of sources. Translate business requirements into scalable and performant data engineering solutions, working closely with squad More ❯

deliver critical data science and analytical capabilities in big data platforms. High proficiency in analysing big data with cloud services (e.g. Microsoft Azure Services, Databricks). Expertise in product ownership to develop high quality analytical products and big data platform capabilities. Experience of software development best practices, including unit testing More ❯

deliver critical data science and analytical capabilities in big data platforms. High proficiency in analysing big data with cloud services (e.g. Microsoft Azure Services, Databricks). Expertise in product ownership to develop high quality analytical products and big data platform capabilities. Experience of software development best practices, including unit testing More ❯

solutions align with NHS requirements and best practices. Develop end-to-end data solutions leveraging Azure services, including Azure Synapse Analytics, Azure Data Factory, Databricks, and Azure SQL. Define data models, integration patterns, and governance frameworks to ensure efficient data management, interoperability, and compliance. Drive cloud migration strategies for NHS More ❯

we'll help you get there. What's the Opportunity? We're recruiting for entry-level roles in: Junior Data Engineering - work with Azure, Databricks, Python, and Power BI Junior DevOps Engineering - get hands-on with CI/CD, cloud platforms, automation tools, and modern engineering practices How It Works More ❯

and Experience Essential At least 1 year of data engineering experience with data platforms and analytics support Hands-on experience with Azure Data ecosystem: Databricks, Data Factory, Data Lake, Synapse; certifications are a plus Proficiency in Python, with PySpark experience preferred Strong SQL skills Experience in building and maintaining data More ❯

organisations, through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. More ❯

Ability to use wide variety of open-source technologies Knowledge and experience using at least one Data Platform Technology such as Quantexa, Palantir and DataBricks Knowledge of test automation frameworks and ability to automate testing within the pipeline To discuss this or wider Technology roles with our recruitment team, all More ❯

production environments. Prepare to be tenacious and collaborate to drive the right solutions forward. Have a good understanding of Microsoft Azure tooling including Azure Databricks, preferably with hands-on experience. Strong understanding of data modelling and architectures (e.g. data vaults, data warehousing, data lakes etc.) Experience with Azure based solutions More ❯

manner that others can understand Strong ability to plan and manage numerous processes, people, and projects simultaneously Experience with Public Cloud technologies such as (Databricks, Azure, GCP, AWS) Using AI to improve processes External client management and reporting Please note you must currently be eligible to work and remain indefinitely More ❯

Analytics & Data Science and their application, learning technologies along the way such as Excel/SQL/Python/Azure Cloud/Snowflake/Databricks/Power BI/Tableau Working in an agile environment you'll develop an understanding of business objectives and develop models & outputs that help our More ❯

systems Qualifications & Skills: x5 + experience with Python programming for data engineering tasks Strong proficiency in SQL and database management Hands-on experience with Databricks and Apache Spark Familiarity with Azure cloud platform and related services Knowledge of data security best practices and compliance standards Excellent problem-solving and communication More ❯

architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership More ❯

tools like GitHub Actions to automate deployment workflows. Working knowledge of many Azure Data Services and associated applications, including (but not limited to) Azure Databricks, Azure Data Factory, Azure Monitor, Azure Data Lake Storage, Azure Identity Management. Demonstrable experience with monitoring, alerting, and performance tuning in cloud environments. Ability to More ❯

col-narrow-right Job Views: 3 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Data Analytics Senior Sales Consultant – Data Analytics, snowflake, talend, databricks, salesforce, hubspot, SaaS, data lakes, apis, adtech, GDPR, CCPA, B2B, Sales Consultant, Account Manager, DataOps, CICD, DevOPs, CI/CD, GenAI, RAG, AWS, Azure, Apache More ❯

Models (LLMs) like GPT and BERT, and successfully driving AI transformation. Expertise in AI frameworks (TensorFlow, PyTorch, etc.), cloud-native solutions, and tools like Databricks and Snowflake. Strong background in cloud services and scalable AI solutions in production environments. Experience managing a wide range of stakeholders in complex situations. Skills More ❯

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 More ❯

challenges and craft tailored solutions using Microsoft Fabric. Lead the design of cutting-edge data architectures that integrate tools like Azure Synapse, Data Factory, Databricks, and Power BI. Drive end-to-end solution delivery—from concept to deployment—ensuring performance, scalability, and seamless integration. Build intelligent data models and pipelines More ❯

tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience helping others to use them. If this role sounds like the More ❯