1 to 25 of 157 Databricks Jobs with Hybrid or WFH Options

Data Engineers. Providing Technical guidance to Data Engineers Knowledge, Experience and qualifications Excellent level of knowledge & experience in Azure Data, including DataLake, Data Factory, DataBricks, Azure SQL (Indicative experience = 5yrs+) Build and test processes supporting data extraction, data transformation, data structures, metadata, dependency and workload management. Knowledge on Spark architecture more »

Databricks Engineer – Remote – Manchester - 6 Months Contract (Initial) – Outside IR35 We are seeking 4 Databricks Engineers on a contract basis to assist our client as they migrate over from legacy to AWS. The main focus will be to centralise the organisations data warehouses and consolidating/centralising a number of … BI tools. Databricks Engineers should have extensive experience working with Databricks on recent projects and be exposed to the latest features and toolsets of Databricks Role Responsibilities: Design and develop scalable data pipelines using Databricks. Implement data processing workflows in Python and SQL. Manage and optimise data storage solutions on … AWS. Ensure data quality and integrity across all stages of data processing. Develop and maintain documentation for data engineering processes. Utilise Databricks features, including Delta Live Tables (DLT) to simplify streaming and ensure data quality. Work with asset bundles in Databricks for streamlined data operations. Key Skills: Proven experience as more »

person to have worked on real-time Azure projects in various commercial domains. The person will have exposure to modern data tools including Azure Databricks, Cosmos, and data integration technologies. Additional exposure to working with data science teams, and supporting machine learning activity would be highly valued. MAIN RESPONSIBILITIES Be more »

experience in data engineering roles, preferably within a consulting firm. Proficiency in Azure data services such as Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc. Strong understanding of ETL processes, data modeling, and data warehousing principles. Experience with programming languages such as SQL and Python. Familiarity more »

activities Lunch allowance for use within our subsidized onsite canteen Must have skills Working knowledge of Azure DevOps (Git, build and release pipelines), Python, databricks, and snowflake as a requirement. Nice to haves are: PowerBI, and Attunity Replicate Significant information technology and/or application development, database development and/ more »

to onboard an experienced (5+ years) Data Warehouse Developer who has strong experience with Microsoft Azure tools including SQL Azure, Azure Data Factory, Azure Databricks, and Azure Data Lake. You will be working directly for an offshore team in India and will be working fully remote. Responsibilities: Requirements more »

Continuity processes and procedures The Data Platform Engineer (Azure) will have the following: Understanding and detailed knowledge of Microsoft Azure DevOps, ITIL, Azure Synapse, Databricks, PowerBI, Data Factory, HD Insights, Python Sparks, and have a strong IT service background. Strong administration of Windows Domains and Windows Server technologies Strong administration more »

and unstructured data, including cloud data products such as Data Factory, Event Hubs, Data Lake, Synapse, and Azure SQL Server. * Proficiency in developing with Databricks and coding with PySpark and Spark SQL. * Experience in delivery of data and analytics solutions/applications to automate business processes and meet user function more »

solutions using Azure services such as Data Factory, Event Hubs, Data Lake, Synapse, and Azure SQL Server. Create and optimize data processing workflows in Databricks using PySpark and Spark SQL. Ensure ETL coding standards are met, including self-documenting code and reliable testing. Apply best practice data encryption techniques and more »

use the data to make better and more informed decisions - Have experience of Databases (ideally SQL Server) and tools such as Python or Azure DataBricks The role is offered on a hybrid basis with travel to one of the core offices - Ideally this would be Birmingham so a Midlands base more »

to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create data pipelines on more »

to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create data pipelines on more »

and insightful. Working closely with data engineers to integrate backend data. Technical skills: Proficiency in front-end visualisation tools - Power BI Experience with Azure Databricks Strong skills in data storytelling and dashboard creation Understanding of backend data processes (ETL, data integration) Experience with SQL, Python, Git Additional skills: Excellent communication more »

Kimball & inmon, and hybrid data warehouse design. Cloud data products such as: Data factory Events Hubs Data Lake Synapse Azure SQL Server Experience developing Databricks and coding with PySpark and Spark SQL. Proficient in ETL coding standards Data encryption techniques and standards Knowledge of relevant legislation such as: Data Protection more »

Kimball & inmon, and hybrid data warehouse design. Cloud data products such as: Data factory Events Hubs Data Lake Synapse Azure SQL Server Experience developing Databricks and coding with PySpark and Spark SQL. Proficient in ETL coding standards Data encryption techniques and standards Knowledge of relevant legislation such as: Data Protection more »

data science and analytics team in deploying pipelines. Coach and mentor the team to improve development standards. Key requirements: Strong hands-on experience with Databricks, Spark, SQL or Scala. Proven experience designing and building data solutions on a cloud based, big data distributed system (AWS/Azure etc.) Hands-on more »

of data, generally time series and numeric data * Experience of or willing to learn the following technologies: * Microsoft Fabric or its related technologies: * Azure Databricks * Azure Synapse Analytics * Azure DW * Azure SQL DB * Azure Data Factory * Azure Data Lake * Experience of taking different business applications and use cases and supporting more »

to optimise workflows and analysis for map reduce processing Experience with BI software (Power BI, Tableau, Qlik Sense) Any experience with data engineering, PySpark, Databricks, Delta Lakes beneficial Confident presenting complex problems in ways suitable to target audience Experience leading or managing a small analysis team Familiarity working in an more »

use the data to make better and more informed decisions - Have experience of Databases (ideally SQL Server) and tools such as Python or Azure DataBricks The role is offered on a hybrid basis with travel to one of the core offices once a week - this can be Chorley in Lancashire more »

creative approach to problem-solving and the ability to drive innovation.#Technical skills: Knowledge of the Microsoft Platform I.E Azure Data Factory, Azure Synapse Warehouse, DataBricks etc. Data modelling I.E Inmon/Kimball/Data Vault etc. Prior exposure to working with Data warehouse, data lakes, delta lakes etc.Job Offer In more »

hybrid data warehouse design. Knowledge using cloud data products like Data Factory, Event Hubs, Data Lake, Synapse, Azure SQL server. Knowledge in developing in Databricks and experience in coding with PySpark, Spark SQL. Experience in design and development of complex data and analytics solutions in an iterative manner for large more »

hybrid data warehouse design. Knowledge using cloud data products like Data Factory, Event Hubs, Data Lake, Synapse, Azure SQL server. Knowledge in developing in Databricks and experience in coding with PySpark, Spark SQL. Experience in design and development of complex data and analytics solutions in an iterative manner for large more »

high-quality data outcomes via modern data sourcing, integration and modelling techniques. Youll gain exposure to a wide range of modern technology (e.g. Snowflake, Databricks, Spark) and be continually learning. Requirements of the Data Engineer: Strong experience with data analysis, data modelling (Kimball) and governance, with excellent analytical and problem more »

salesforce projects. Key Responsibilities: Architecture, modelling and leadership skills Strong Azure data skills, including: Azure Data Factory V2, Azure Data Lake Storage V2, Azure Databricks, Azure Function Apps& Logic Apps, Azure Stream Analytics, Azure Resource Manager skills (Terraform, Azure Portal, Az CLI and Az PowerShell) Strong PySpark, Delta Lake, Unity more »

a brand new Snowflake Data Warehouse . They are looking for a candidate that has experience in… Azure Data Platform Strong knowledge of ADF, Databricks, ADL & Synapse along side Data Modelling, Experience performing data warehouse architecture development and management Working knowledge of SAS and R code used in data processing more »