51 to 75 of 149 Databricks Jobs with Hybrid or WFH Options

techniques and the CRM environment. RESPONSIBILITIES: Working on personalisation of the customer journey on end-to-end machine learning projects Working with Python, SQL, Databricks and GCP/Azure Operating closely with a high-calibre team and various stakeholders in the business Building predictive, segmentation and personalisation-based models with … Statistics or Computer Science Experience in personalisation, segmentation with a focus on CRM Retail experience is a bonus Experience with PySpark/Azure/Databricks is a bonus Experience of management BENEFITS: Pension scheme Gym Membership Share options Bonus Hybrid working HOW TO APPLY: Register your interest by sending your 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 »

Lead About You Demonstrated expertise within the last five years in one or more of the following areas: Web development (NodeJS, React, Angular), Salesforce, Databricks, AWS, energy billing systems, or similar platforms. Exceptional leadership skills, thriving in a dynamic and demanding development setting. A solid grasp of agile methodologies with more »

business benefits. Regularly launching products and services resulting from your work and actively contributing to their success. Experience we are seeking: Thorough understanding of DataBricks and PySpark. Proficient knowledge of SQL and CosmosDB (or similar) databases. Expertise in designing, constructing, administering, and maintaining data warehouses and data lakes. Familiarity with … ADF, HDFS, and Synapse. Solid knowledge of Data Governance, Data Catalog, and Master Data Management. Understanding of Advanced Analytics and Model Management, encompassing Azure Databricks, Azure ML/MLFlow, and deployment of models using Azure Kubernetes Service. Excellent oral and written communication skills. Please apply if of interest. more »

play a crucial role in designing, developing, and maintaining high-quality software solutions. Your primary focus will be on leveraging Azure, .NET, Python, and Databricks to build robust and scalable applications. You will collaborate with cross-functional teams to understand business requirements and deliver solutions that meet the needs of … with Azure services. Proficiency in .NET framework and C# programming. Solid experience with Python for data processing and automation tasks. Hands-on experience with Databricks for big data processing and analytics. Excellent problem-solving skills and a keen attention to detail. Strong communication skills and the ability to work effectively more »

for optimal AI application performance. Advise peers and senior management on business and customer impact. Write production-grade Python code, leveraging CI/CD, Databricks, and ensuring appropriate test coverage; proficiency in SQL. Liaise with third-party partners and stay updated on field advancements and regulations. Collaborate with data governance … offerings by 3rd party vendors. Knowledge of OO programming and software design, i.e., SOLID principles. Knowledge and working experience of AGILE methodologies. Familiarity with Databricks, and RAG application architecture a plus Experience with latency optimisation and quantisation preferred Why choose us? This is your opportunity to be at the forefront more »