4 of 4 Databricks Jobs in Reading

Senior Data Engineer

Hiring Organisation
ScaleOps Search Ltd
Location
Reading, Berkshire, UK
Employment Type
Full-time
best practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

GIS Analyst

Hiring Organisation
Thames Water
Location
Reading, Berkshire, England, United Kingdom
Employment Type
Full-Time
Salary
Competitive salary
ESRI ArcGIS, Power BI, and FME, Excel. Knowledge of wastewater industry, capability in additional geospatial tools, analytical tools and data management (e.g. Python, SQL, Databricks, Azure Data Factory) will be beneficial. Proven ability to produce detailed management reports. High attention to detail with the ability to understand the wider business ...

Managing Principal Consultant

Hiring Organisation
Coeo
Location
Reading, England, United Kingdom
need to have experience with some of the following and be able to learn new technologies or concepts quickly: Deep experience with Databricks on Microsoft Azure, including Delta Lake, Unity Catalog, Delta Live Tables, PySpark and Databricks SQL, alongside complementary services such as Azure Data Factory, Synapse Analytics, and Microsoft … Fabric. Designing and implementing Lakehouse architectures in Databricks to unify data warehousing and data lake capabilities, enabling scalable analytics and governance. Building and orchestrating Databricks notebooks, Delta Live Tables, Databrick Jobs and integration with Azure Data Factory for enterprise-scale data ingestion and transformation. Proficiency in Python and PySpark ...

Senior Engineer Devops

Hiring Organisation
Stackstudio Digital Ltd
Location
Reading, Berkshire, South East, United Kingdom
Employment Type
Contract
DataOps Engineer working in Azure-based data platforms, supporting complex, large-scale workloads within mature Agile delivery environments. Deep hands-on expertise with Azure Databricks, including clusters, job orchestration, Workflows, Repos, Delta Lake, Unity Catalog, metastore configuration, and workspace administration. Strong experience with Azure DevOps YAML pipelines, Git branching strategies … artifact management, automated testing, and environmental promotion workflows. Expert-level knowledge of Terraform for provisioning Databricks resources, Azure networking, storage, key vaults, identities, private endpoints, and associated cloud infrastructure. Strong understanding of Azure cloud services such as Azure Data Lake Storage, Azure Key Vault, Azure Monitor, Azure VMs, Azure Networking ...