276 to 300 of 2,028 Databricks Jobs in the UK

civil service department replacing a legacy HR system Experience and qualifications Technical 3+ years' experience in data or software engineering Knowledge of Python, SQL, Databricks, Snowflake, and major cloud platforms (AWS/Azure/GCP) Ability to learn quickly and adapt to new technologies and sectors Understanding of data engineering More ❯

civil service department replacing a legacy HR system Experience and qualifications Technical 3+ years' experience in data or software engineering Knowledge of Python, SQL, Databricks, Snowflake, and major cloud platforms (AWS/Azure/GCP) Ability to learn quickly and adapt to new technologies and sectors Understanding of data engineering 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 ❯

Engineer Proven experience with Azure DevOps (ADO) A deep understanding of Azure PaaS components. Key areas: Azure SQL and MI (Managed Instance) Data Factory Databricks Power BI Data Lake Fabric AKS (deployment + management) API Management App Services Functions Networking App Insights Solid understanding of: Terraform HELM charts Flux (or More ❯

BI experience in a business-facing environment Nice to have: Python for data analysis or scripting Familiarity with cloud data environments (e.g. Azure, Snowflake, Databricks) If you're a BI developer with London Market experience looking to make a real impact, this is a rare opportunity to help shape a More ❯

Services, Data Engineering in Fabric, and DevOps. You will work directly with leading Azure tools including Azure Data Factory, Logic Apps, Fabric, Power BI, Databricks, Azure DevOps, OpenAI, and more. Your role will involve creating robust, scalable cloud-native solutions, automating deployments, and ensuring seamless integrations. Our culture is collaborative More ❯

Integration Services, Data Engineering in Fabric, and DevOps. You'll work directly with leading Azure tools including Azure Data Factory, Logic Apps, Fabric, PowerBI, Databricks, Azure DevOps, OpenAI and so on. Your role will involve creating robust, scalable cloud-native solutions, automating deployments, and ensuring seamless integrations. Our culture is More ❯

Provider Delivered by UNIVERSITY OF HERTFORDSHIRE Employer GEMSTONE IT SERVICES LIMITED Vacancy Description Key Responsibilities: Build and maintain scalable data pipelines using Azure Synapse, Databricks, and SQL-based transformations Integrate APIs and web services to collect and ingest external data into centralised data platforms Use Python to automate data processing More ❯

. Strong knowledge of testing data pipelines, ETL/ELT workflows, and big data solutions . Experience with cloud-based data platforms , particularly Azure Databricks, Azure Data Factory, and Synapse Analytics . Hands-on experience with test automation frameworks (e.g., PyTest, Great Expectations, DBT tests, or similar). Proficiency in More ❯

platforms like Spark and open table formats like Delta or Iceberg. Strong experience with Azure services such as Synapse Analytics, Data Factory, Data Lake, Databricks, and others. Proficiency in Spark, SQL, and programming languages like Python, Scala, or Java. Experience in building Lakehouse architectures using open-source table formats and More ❯

and PySpark. Demonstrate experience in implementing and managing data pipelines. Show understanding of data quality, metrics, and logging in data pipelines. Experience working with Databricks and its ecosystem is desirable. Proficiency in cloud platforms such as AWS, Azure, or Google Cloud for deploying and managing scalable data infrastructure and services. More ❯

Knowledge of IT infrastructure, networking, security and cloud technologies such as Azure (Azure integration and data Services, Azure Data Factory, Azure Synapse Analytics, Azure Databricks Collaborated with Data Engineers to define data integration and orchestration requirements needed to design efficient pipelines Must have worked on digital identity projects, single sign 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 ❯

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 ❯

Knowledge of IT infrastructure, networking, security and cloud technologies such as Azure (Azure integration and data Services, Azure Data Factory, Azure Synapse Analytics, Azure Databricks Collaborated with Data Engineers to define data integration and orchestration requirements needed to design efficient pipelines Must have worked on digital identity projects, single sign More ❯

Science, Statistics, Math, or Engineering • Experience in financial services, operations fields • Experience in gathering and documenting requirements with full testing traceability • Experience in Snowflake, Databricks, Legend Studio platforms • Data governance and modelling experience ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients More ❯

years in a leadership role . Proven expertise in testing data platforms, data pipelines, and cloud-based big data solutions . Strong experience with Databricks, Azure Data Factory, Synapse, and cloud infrastructure testing . Deep understanding of data governance, data security, and compliance best practices . Expertise in test automation More ❯

demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching. Good knowledge of Databricks, Snowflake, Azure/AWS/Oracle cloud, R, Python. Version 1 has celebrated over 26 years in Technology Services and continues to be trusted by More ❯

automation . Familiarity with testing data pipelines, ETL/ELT workflows, and big data solutions . Experience with cloud-based data platforms , preferably Azure Databricks, Azure Data Factory, or Synapse Analytics . Basic experience with test automation frameworks (e.g., PyTest, Great Expectations, DBT tests, or similar). Proficiency in SQL More ❯

with the latest technologies in the field of data engineering Strong organizational and time management skills Advantageous skills/experience: Hands-on experience with Databricks, including development, implementation, and optimization in large-scale environments. Experience with AWS. Experience with SQL server SSIS packages. Experience with reporting tools AWS QuickSight, PowerBI. 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 ❯

Knowledge of Lloyds Insurance and Reinsurance, Finance GAAP, Actuarial Reserves, Regulatory Reports, Databases (Data Warehouse, T-SQL, SSIS, SQL Server 2019), ETL processes with Databricks, Programming languages (e.g., Python), AWS, Agile methodologies, Jira, and MS Office products. Educational background with a BSc degree or higher in a relevant field. What More ❯

demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching. Good knowledge of Databricks, Snowflake, Azure/AWS/Oracle cloud, R, Python. Additional Information At Version 1, we believe in providing our employees with a comprehensive benefits package More ❯

demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching. Good knowledge of Databricks, Snowflake, Azure/AWS/Oracle cloud, R, Python. Additional Information At Version 1, we believe in providing our employees with a comprehensive benefits package More ❯

pipelines Expert experience of SQL, python, git, dbt (incl. query efficiency and optimization) Expert experience of Cloud Data Platforms (AWS, Snowflake and/or Databricks) Qualification preferred, not mandatory Significant experience of Automation and Integrations tools (FiveTran, Airflow, Astronomer or similar) Significant experience with IoC tools (Terraform, Docker, Kubernetes or More ❯