1 to 25 of 43 Databricks Jobs in London with Remote Work Options

designs and techniques Knowledge of Data Warehouse project lifecycle, tools, technologies, and best practices Experience using Cloud Computing platforms (ADLS Gen2), Microsoft Stack (Synapse, DataBricks, Fabric, Profisee), Snowflake Data Integration, Azure Service Bus, Deltalake, BigQuery, Azure DevOps, Azure Monitor, Azure Data Factory, SQL Server, Azure DataLake Storage, Azure App Service 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 »

A global boutique (re)insurance broker are looking for an experienced Azure Data Engineer to join their growing team, to act as the lead Engineer on the support and development of their brand-new next-generation data platform. This is more »

alongside other benefits. To be successful in this role you will have. Previous experience working in a Data Engineering role. Excellent understanding of Azure Databricks Experience creating data pipelines using Azure Data Factory Experience working with Azure Data Lake storage. Good working knowledge of other Azure cloud services and technologies 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 »

data transformation tools, and data governance techniques Good understanding of Quality and Information Security principles Experience with Azure, ETL Tools such as ADF and Databricks Advanced Database and SQL skills, alng with SQL, Python, Pyspark, Spark SQL Strong understanding of data model design and implementation principles Data warehousing design patterns more »

Days in Office Salary: £60,000 - £70,000 + 12.5% Bonus Key areas: SQL Data Engineer, Azure Data Engineer, Azure Data Factory, Azure Databricks, Azure Data Services, Snowflake, SQL Server, Data, BI, BI Development, MS BI Chapman Tate is collaborating with a leading Housing Association that is revolutionizing the industry more »

Edinburgh office, typically 3 days a week from home and 2 day in office/on client site. Preferred skills: Experience with Azure and Databricks Proficiency in SQL and/or similar data technologies Familiarity with data pipeline tools and ETL processes Knowledge of cloud platforms and data architecture Experience 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 »

cloud services to design, develop, and implement cutting-edge data engineering solutions. You will be working with Data Engineers in harnessing the power of Databricks and Synapse to build scalable and efficient data pipelines, data lakes, and analytical solutions. With expertise in tools like Airflow for orchestration and GitHub for … will enable real-time data processing capabilities. Key responsibilities: Lead the design, development, and maintenance of Azure-based data pipelines and analytical solutions using Databricks, Synapse, and other relevant services. Leverage SQL, PySpark, and Python to perform data transformations, aggregations, and analysis on large datasets. Architect data storage solutions using … and objectives. Your Profile Key skills/knowledge/experience: experience in Data Engineering, Solution designing and Cloud Computing. in Azure cloud services, particularly Databricks, Synapse, Azure SQL Database, and Azure Data Lake Storage. programming skills in Python, with experience developing data processing applications using PySpark. Solid understanding of SQL more »

and the business stakeholders Investigate and provide solutions for issues (bugs, data errors) Key skills PowerBI– DAX, Power Query (M) Power apps – Advantageous Azure, Databricks Stakeholder management What’s on Offer Up to £90k Salary Bonus package Hybrid working in either Leeds, Manchester or London + flexible hours More exciting more »

high availability Desired experience: Worked with Python 3.9+ Familiar with Python test automation Experience with SQL and Timeseries databases Familiar with Parquet, Arrow, Airflow, Databricks Experience with cloud AWS services, such as S3, EC2, RDS etc Quality engineering best practice and tooling including TDD, BDD This is an inside IR35 more »

For more information, please send an up-to-date CV to Data Engineering Manager, Data pipelines, ETL, ELT, Modern tech stack, Azure , Python, SQL, Databricks, Data Modelling, Leadership, Strategy, Global more »

of data warehousing and data modelling concepts Experience in leading or mentoring more junior members of the team Desirable Consulting experience Related university degree Databricks experience Again, with a salary on offer of between £60,000 - £75,000 depending on experience, this position would be ideal for a Data Engineer more »

and analytics Desired experience: Worked with Python 3.9+ Familiar with Python test automation Experience with SQL and Timeseries databases Familiar with Parquet, Arrow, Airflow, Databricks Experience with cloud AWS services, such as S3, EC2, RDS etc Quality engineering best practice and tooling including TDD, BDD This is an inside IR more »

d love to see: Strong proficiency with Python and SQL Extensive Machine Learning experience: forecasting, predictive performance analysis & optimisation Experience with Snowflake, DataIQ or Databricks Cloud platform experience (AWS preferred) Adobe analytics & sales platform experience is a bonus Previous experience working with Marketing Ecosystems Hybrid working with offices in Central 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 »

powers innovative solutions within the client. We require an engineer who has a passion for data and has a good background in Azure, synapse, Databricks, SQL, Python and DataOps. This is a fantastic opportunity for a Data Engineer to gain exposure to different business areas from Visualisation, Machine Learning/… optimal performance. Stay up-to-date with the latest trends and technologies in data engineering. Requirements : Strong hands-on experience with Azure, Synapse, and Databricks Excellent programming skills in SQL and Python Proficiency in building and optimising data pipelines, architectures, and datasets Familiarity with Medallion architecture and data lakes. Experience more »

Unlock the potential of metadata within the data, exploring innovative methods to extract valuable insights. Experience Required: Proficient data engineering experience Experience with Azure Databricks and building ETL pipelines Package: Up to £120,000 Competitive Bonus Market leading benefits Hybrid working How to Apply: If you’re interested, submit your more »

B2B SaaS experience involving client-facing projects • Experience in front-end development and competency in JavaScript • Knowledge of API development • Familiarity with Airflow, DBT, Databricks • Experience working with Enterprise Resource Planning (e.g. Oracle, SAP) and CRM systems. If this role sounds of interest, please apply using the link and we more »

with the vision to convert data requirements into logical models and physical solutions. with data warehousing solutions (e.g. Snowflake) and data lake architecture, Azure Databricks/Pyspark & ADF. retail data model standards - ADRM. communication skills, organisational and time management skills. to innovate, support change and problem solve. attitude, with the more »

pipeline and ETL processes using Azure data Factory, Azure Data Lake and Azure Databricks. Exceptional experience developing codes, testing for quality assurance, administering Azure Databricks platform and exposure to Unity Catalog. Exposure of Performance Tuning, Optimization, Governance and Security of Databricks platform. Experience in designing scalable solutions using Azure Data more »

love to see: Strong proficiency with Python and SQL Extensive Machine Learning experience: recommendation, forecasting, predictive performance analysis & optimisation Experience with Snowflake, DataIQ or Databricks AWS experience – Redshift & Fast API NLP & Computer Vision experience Previous experience working with Marketing Ecosystems Hybrid working with offices in Central London - 3x a week 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 »

new technology to solve business problems. Responsibilities Designing cloud-based data platforms and data solutions using a wide range of Azure Services including Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Azure Synapse, Azure Cosmos DB, Azure Data Factory and Azure Blob storage Building conceptual, logical and physical data … Master and Reference Data Management, Metadata Management, Security and Compliance Strong experience in Data Warehouse methodologies Experience working across Azure Data Services including Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, Azure Data Factory, Azure Blob storage and Power BI Strong experience in SQL Good understanding more »