1 to 25 of 152 Databricks Jobs in the UK with Remote Work Options

on-prem, but the direction of travel is cloud engineering. You'll be executing code in different places across the following tech stack: Azure, Databricks, PySpark and Pandas. You will steer the data engineering function within a wider product team. There'll be lots of connecting and interaction with stakeholders … and inclusive environment where you can grow your career and make a real difference. Essential criteria: Enterprise-scale experience with Azure data engineering tools, Databricks, PySpark and Pandas Experience of data modelling and transforming raw data into datasets Experience of building team capability through role modelling, mentoring, and coaching Able more »

on-prem, but the direction of travel is cloud engineering. You'll be executing code in different places across the following tech stack: Azure, Databricks, PySpark and Pandas. You will steer the data engineering function within a wider product team. There'll be lots of connecting and interaction with stakeholders … and inclusive environment where you can grow your career and make a real difference. Essential criteria: Enterprise-scale experience with Azure data engineering tools, Databricks, PySpark and Pandas Experience of data modelling and transforming raw data into datasets Experience of building team capability through role modelling, mentoring, and coaching Able more »

is currently on-prem, but the direction of travel is cloud engineering, and you'll be executing code across the following tech stack: Azure, Databricks, PySpark and Pandas. DWP Digital is a great place to work, we offer a supportive and inclusive environment where you can grow your career and … make a real difference. Essential criteria: Commercial experience of Databricks, PySpark and Pandas Commercial experience of Azure data engineering tools such as Azure Data Factory, dedicated SQL pools and ADSL Gen 2 Experience of working with data lakes An understanding of dimensional modelling Details. Wages. Perks. You'll join us 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 … warehouse design. Extensive experience with Azure data products including Data Factory, Event Hubs, Data Lake, Synapse, and Azure SQL Server. Proficient in developing with Databricks, PySpark, and Spark SQL. Strong understanding of ETL coding standards, including standardized, self-documenting code and reliable testing. Knowledge of data encryption techniques and standards. more »

is about, we're looking for someone that can demonstrate skills and experience in: Ability to design, write and maintain test frameworks. Experience of Databricks & Azure Data Factory. Experience working in Agile environment and Cross Functional teams. Participate in feature/story definition and refinement, including identifying risks and acceptance 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 »

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 »

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 »

Proven Experience: You have a track record in Data Architecture and Data Engineering. Azure Proficiency: You’re proficient across Azure Data Factory, Synapse/Databricks, and Azure Data Lake. Azure Analytics: You possess good knowledge of Azure Analytics, Stream Analytics, Event Hubs, and more. Future-Ready: You’re passionate about more »

options. Skills & experience required: Strong hands-on experience in Data Warehouse and Data Lake technologies preferably around Azure Extensive experience in implementing solutions around DataBricks, Azure Data Factory, Azure SQL, CosmosDB, Cognite Services, Storage Accounts, Azure Service bus, Azure Functions, Event Hub, Synapse and Azure Purview. Excellent understanding of Microsoft more »

Azure Pull together all of the separate entities data and put them into one place SQL/Python experience Must have experience in Azure Databricks Exposure to testing Understand the data lifecycle Data Analysis/Engineering experience Exposure to data modelling – nice to have Power BI – nice to have If more »

and refining them to strong results. Exposure to Python data science stack Knowledge and working experience of AGILE methodologies. Proficient with SQL. Familiarity with Databricks, Spark and geospatial data/modelling are a plus. We’ll help you gain… Experience working in a high-performance environment where collaboration and business more »

designing data pipelines and ETL processes Previous experience of data warehousing Utilise SAS for data reporting and analysis Skilled in SQL, Python, Git and Databricks In depth experience of reporting in Power BI Excellent stakeholder management skills Desirable Experience of working within a consultancy environment A Bachelors or Master’s more »

You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge more »

You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge more »

challenges your customers face and how you can help them. You’ll bring wide experience of the data ecosystem, including: numerous data platforms e.g. Databricks; data modelling approaches; public cloud services including AWS and Azure; a deep knowledge and focus on security and privacy and their applications on data platform more »

challenges your customers face and how you can help them. You’ll bring wide experience of the data ecosystem, including: numerous data platforms e.g. Databricks; data modelling approaches; public cloud services including AWS and Azure; a deep knowledge and focus on security and privacy and their applications on data platform more »

challenges your customers face and how you can help them. You’ll bring wide experience of the data ecosystem, including: numerous data platforms e.g. Databricks; data modelling approaches; public cloud services including AWS and Azure; a deep knowledge and focus on security and privacy and their applications on data platform more »

You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge more »

for data management and you’ll help design and develop various Data solutions. Required Skills and Qualifications : Solid experience with Python/SQL ADF, Databricks and Synapse knowledge required Strong client-facing experience as a data engineer/consultant. Experience designing and developing ELT/ETL processes Experience with Azure more »

impacts, debt and risks. Technical knowledge or experience in the following data languages or toolsets: AutoSys, Azure Function App, Azure GIT, Azure Portal, C#, Databricks, GraphQL/Graph API, Informatica CDI, Informatica Power Center, Java, Javascript, Snowflake, PowerBI, PyRecs, Python, Selenium, Spark, and SQL Nice to have skills Ability to more »

depth experience in product delivery models and business analysis Risk and Compliance experience within the financial services sector Experience with Microsoft Azure cloud platform, Databricks and Snowflake Strong skills in data analysis, dimensional data modeling methodologies and business analysis Solid understanding of Software Development Lifecycle (SDLC) and version control disciplines more »

Senior Data Engineer Salary Negotiable to £70,000 DoE Hybrid working with 2 days in London Job Reference J12785 Work with an award-winning independent protection adviser. Develop the data engineering capabilities. Data is a key enabler for the business more »

from proof-of-concept to deployment, working alongside the Energy Solutions team. Design data pipelines for smarter energy: Craft and manage data pipelines using Databricks, integrating best-in-class demand forecasts to optimize energy use. Enhance user applications for real-world impact: Contribute to the development of our user applications more »

and partner requirements simultaneously. Demonstrated enthusiasm for a marketing and/or sales career. Understanding of IT consultancy partner ecosystem (for example, Microsoft, AWS, Databricks, Google Cloud etc) Exceptional attention to detail, coupled with strong written and verbal communication skills. Proven ability to initiate tasks independently and adapt swiftly to more »