1 to 25 of 62 Databricks Jobs in Bath

of data warehousing and data governance. **Preferred Qualifications:** - Knowledge of DevOps practices and CI/CD pipelines. - Familiarity with cloud-native data platforms (e.g., Databricks). - Understanding of data privacy regulations (e.g., GDPR). More ❯

experience in programming languages such as Python or Java. Experience with the Microsoft Azure ecosystem is essential, including proficiency with Azure Data Factory and Databricks, as these tools are integral to managing data within the UDAL platform. Data Quality and Governance: Experience in implementing data quality controls, data cleansing routines More ❯

include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write clean, efficient, and More ❯

Data Engineer - Leading Pharmaceutical Company - Manchester (Tech Stack: Data Engineer, Databricks, Python, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) About the Role: We are seeking a talented and experienced Data Engineer on behalf of our client, a leading Software House. This is a fully remote position, offering the More ❯

and Experience Degree (BSc, MSc, or PhD) in Computer Science, Mathematics, or a related field. Familiarity with alternative cloud and data platforms such as Databricks, Snowflake, Azure, or AWS. Knowledge of DevOps/DataOps methodologies and experience with CI/CD pipelines. Understanding of monitoring, logging, and troubleshooting in cloud More ❯

open-source technologies like Spark, Kafka, Beam understanding of Cloud tools such as AWS, Microsoft Azure or Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in an agile environment About Us We are Citation. We are far from your average service provider. Our colleagues bring their brilliant selves More ❯

Energy domains. We hold top-level partnership statuses with all the major cloud providers and collaborate with many technology partners like AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others. IF YOU ARE A technology professional focused on Data Warehouses, ETL, and BI solutions development Experienced in eliciting business requirements to More ❯

SQL Azure cloud 👍 Bonus points for experience with: DBT CI/CD - e.g. Azure DevOps IaC - e.g. Terraform or Pulumi Data warehousing experience - e.g. Databricks other Azure services such as Azure Fabric, Data Factory 🛂 Please note : unfortunately, this role does not offer VISA sponsorship. More ❯

Years of Experience 5+ years working with production data workloads in Azure - ESSENTIAL Other Requirements Proficiency in Azure data services (Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc.) - ESSENTIAL Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# More ❯

related to data accessibility, consistency, and analysis Key Skills & Experience: Proven expertise in Microsoft Azure Data Services, including Data Factory, Synapse, Data Lake, and Databricks Deep knowledge of Power BI and data visualization best practices 10+ years working with data architecture and analytics on the Azure platform Solid experience with More ❯

experience as a Data Engineer, Cloud Engineer, or in a similar role with hands-on expertise in Azure. Solid experience with data processing frameworks (Databricks/Azure SQL). Proficiency in SQL, Python, or other programming languages. Strong understanding of ETL processes, data modelling, and optimisation techniques. A collaborative mindset More ❯

Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Nice to have: Hands-on experience with data warehouse and lakehouse architectures (e.g., Databricks, Snowflake, or similar). Experience with big data frameworks (e.g., Apache Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, or GCP). 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 ❯

Energy domains. We hold top-level partnership statuses with all the major cloud providers and collaborate with many technology partners like AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others. IF YOU ARE Experienced in data analysis within a healthcare environment for 3–5+ years Skilled in working with large-scale More ❯

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, Spark, Kafka – UK Wide - £80,000-£95,000 + OTE Our large Microsoft Partner client More ❯

Years of Experience 5+ years working with production data workloads in Azure - ESSENTIAL Other Requirements Proficiency in Azure data services (Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc.) - ESSENTIAL Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# More ❯

end delivery lifecycle for Data Platforms with hands-on experience with a range of Data Management and Analytics applications (including but not limited to Databricks, Power BI, Collibra, Microsoft Fabric, Tableau, Alteryx), and an understanding of delivery patterns using these applications. Experience in projects that have rolled out Data Management More ❯

up – not just maintained or worked on existing implementations. The initial part of the project is an integration between two platforms. Skills required: Azure DataBricks Snowflake Azure Data Lake Python At least one of: NumPy, Pandas, or PySpark SQL Financial Services experience At least one Data related Azure certification Nice More ❯

for: Demonstratable data engineering skills, with a focus on having delivered in Microsoft Azure Strong experience designing and delivering data solutions in Fabric, Azure Databricks or Azure Synapse Proficient with SQL and Python Great communication skills, effectively participating with Senior Stakeholders A record of managing and leading small teams Must More ❯

skills you’ll need: Deep experience in data & analytics, including hands-on development of data platforms and reporting services. Expertise in Microsoft Azure, Synapse, Databricks, PowerBI, and the wider Power Platform. Strong product development experience within complex environments — ideally across both legacy and modern tech stacks. Experience managing multi-disciplinary 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 ❯

Energy domains. We hold top-level partnership statuses with all the major cloud providers and collaborate with many technology partners like AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others. IF YOU ARE Experienced with Python/PySpark Proficient working with Databricks Lakehouse architecture and principles Having 2+ years of designing More ❯

well as overseeing the creation of a new Data Warehouse. Key skills and experience required: Extensive Azure data architecture ETL and ELT pipeline development Databricks, Data Lake and other Azure focussed services Leading data teams Data modelling Excellent stakeholder management and engagement Analytics and reporting built on top of a More ❯

and optimize data models, warehouse solutions, and ETL processes. Work with Scala, Spark, and Java to handle large-scale data processing. Contribute to manual Databricks-like data processing solutions. Requirements: Minimum of 4 years of experience with Scala, Spark, and Java. Strong technical skills and a passion for working with More ❯

on experience with ML frameworks (PyTorch, TensorFlow, Keras). Proficiency in Python and C/C++. Experience with scalable data tools (e.g., PySpark, Kubernetes, Databricks, Apache Arrow). Proven ability to manage GPU-intensive data processing jobs. 4+ years of applied research or industry experience. Creative problem-solver with a More ❯