1 to 25 of 133 Databricks Jobs in London

Power Automate & Power Apps Lead - Insurance - 860/day GBP inside Initial 6 months Contract position Client: Insurance Locations: London, Hertfordshire or Bristol Day rate 860/day Inside IR35 Hybrid: Once a week Are you ready for your next 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/AxoWS/Oracle cloud, R, Python. Additional Information Location: This role can be delivered in a hybrid nature from one of these 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 »

Experience working in a distributed team. Background in software development or in a hands-on technical role Desirable: Spark data processing Cloud technologies – Azure, DataBricks, Kubernetes Software Architectural skills DevOps Agile/Scrum certified. At Kantar we have an integrated way of rewarding our people based around a simple, clear more »

this role involves fostering robust stakeholder relationships, collaborating closely with diverse teams to understand their unique data requirements and deliver tailored solutions. Experience with Databricks is highly valued, and candidates who have demonstrated proficiency in leading small teams will be given preference. Here's a glimpse into what you'll … Experience with advanced analytics techniques, including modeling and segmentation. Strong visualization skills, including proficiency with Tableau. Familiarity with cloud-based data pipeline architectures (e.g., Databricks) and platforms (e.g., AWS). Knowledge of Git-based source control methodologies, including branching and pull requests. Proven track record of translating complex technical findings 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 reporting. Familiarity with GCP (Google Cloud Platform) for data storage and processing. Basic knowledge of Python for automation tasks is advantageous. Experience with Databricks is a plus. HOW TO APPLY To apply for this role, please use the link on this website. more »

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 »

Data Mart. Utilize Vector Databases, Cosmos DB, Redis, and Elasticsearch for efficient data storage and retrieval. Demonstrate proficiency in programming languages including Python, Spark, Databricks, Pyspark, SQL, and ML Algorithms. Implement Machine Learning models and algorithms using Pyspark, Scikit Learn, and other relevant tools. Manage Azure DevOps, CI/CD … pipelines, GitHub, and Kubernetes (AKS) for efficient software development and deployment. Implement ML/OPS solutions using Azure ML, Databricks MLFlow, and LLMOps for streamlined Machine Learning operations. Ensure data governance and data cataloging standards are maintained, utilizing tools such as Collibra and Talend Data Catalogue. Collaborate with stakeholders to … Cloud environments, Azure Data Lake, Azure Data Factory, Microservices architecture. Experience with Vector Databases, Cosmos DB, Redis, Elasticsearch. Strong programming skills in Python, Spark, Databricks, Pyspark, SQL, ML Algorithms, Gen AI. Knowledge of Azure DevOps, CI/CD pipelines, GitHub, Kubernetes (AKS). Experience with ML/OPS tools such more »

a pivotal role in designing, building, and maintaining their data infrastructure while collaborating closely with senior stakeholders across the organisation. Your expertise in Azure, Databricks, Spark, Python, and data modelling will be critical in driving the success of their data initiatives. Key Responsibilities: Lead the complete development cycle of data … focus on discretion. A comprehensive of data modelling, data warehousing principles, and the innovative Lakehouse architecture. Exceptional proficiency in ETL methodologies, preferably utilising Azure Databricks or equivalent technologies (Spark, Spark SQL, Python, SQL), including deep insight into ETL/ELT design patterns. Proficient in Databricks, SQL, and Python, with a more »

Azure data systems experience. Proficiency in traditional Data Warehouse tools. Understanding of Dimension Modelling. Strong SQL skills. Knowledge of Azure Data Lake, Data Factory, Databricks, and Functions. Essential Experience Support for Data Warehouses. Building Azure data pipelines. Agile methodology experience. Problem-solving skills. Awareness of industry trends. Stakeholder engagement. Desired more »

offer you exposure to the latest technologies. We are looking for a senior Data Engineer who has solid Python skills as well as Pyspark, DataBricks and SQL, as well as Data Modeling, and Azure Data Factors . Azure Devops would be a distinct advantage. Strong communication and business facing skills more »

business problems that can be solved using data, we would like to talk to you. We are looking to recruit an experienced Principal Azure Databricks Architect in a long-term contract role. Details follow: This is a client facing role. Should have extensively worked on Azure Hub, Azure Device SDK more »

Lead Data Engineer (Director) - Individual contributor - Azure, Data Factory, Databricks, Apache Spark - London Based I am hiring for a Lead Data Engineer for a crucial role within one of my Investment Bank clients in London. This role is at Director level as they require a very senior candidate to develop … Responsibilities: Leading data engineering practices Support current applications Introduce AI practices to the team/project Communicate key successes with stakeholders Key Skills: Azure Databricks Apache Spark Datascience, AI, ML Certifications or continued upskilling/contribution to blog posts within Data & AI beneficial but not essential. This is a full … UK without sponsorship, if you are interested please apply or email me directly - aaron.dhammi@nicollcurtin.com Lead Data Engineer (Director) - Individual contributor - Azure, Data Factory, Databricks, Apache Spark - London Based more »

A brand new and exciting opportunity has recently arisen for a Lead Data Engineer with an excellent knowledge in ETL, Azure Data Factory, Azure Databricks and CRM Implementations to join one of the UK's Largest Charity based in London. As the Lead Data Engineer you will be implementing a more »

Senior Data Engineer - Azure/Databricks - £75-80,000 Scalexperts are partnered with an education business who after making a few recent senior leadership hires in Data & Technology are now scaling their Data Engineering function. They are looking for a Senior Data Engineer to join them to work on building … into a leadership position, as that is the longer term plan for this role. Key Experience Required: In-depth knowledge of and experience with Databricks Azure experience ideally worked with tools such as Synapse, Azure Data Factory, Data Lake etc Experience with SQL is a must, some Python is a more »

About Tredence­: - Tredence focuses on last mile delivery of insights into actions by uniting its strengths in business analytics, data science, and software engineering. The largest companies across industries are engaging with Tredence and deploying its prediction and optimization solutions more »

timely delivery. Requirements; Significant experience working as a Lead Data Engineer within Financial Services Certifications in relevant technologies, such as Azure Data Engineer or Databricks Certified Developer Experience with real-time data processing and streaming technologies like Apache Kafka or Azure Event Hubs Knowledge of data visualization tools, such as more »

varying levels of experience. Flexibility and willingness to adapt to new software and techniques. Nice to Have Experience working with projects in Apache Spark, Databricks of similar. Expert cloud platform knowledge, e.g. Azure What will be your key responsibilities? A technical expert and leader on the Petcare D&A Platform 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 »

field. Proven experience as a Data Engineer with a focus on Azure technologies. Strong proficiency in developing data pipelines using Azure Data Factory, Azure Databricks, or similar tools. Experience in building and maintaining data warehouses and data lakes on Azure, utilizing services such as Azure Synapse Analytics, Azure Data Lake more »

and crystallizing them into scalable data solutions Excited about operating independently, demonstrating excellence, and learning new technologies and frameworks NICE TO HAVE: Experience in Databricks is a plus Crypto domain experience or interest WHO WE ARE: Do Your Best Work The opportunity to build in a fast-paced start-up more »

DevOps Engineer (Data Platform) - £575 (outside IR35) – 12-months DevOps Engineer, with strong data platform experience is now required by leading ecommerce client to design and deploy infrastructure to support the development of features across their estate of cloud native more »

competitive day rate of £250-£400, falling inside IR35 regulations. Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes using AWS, Databricks, Python, Spark, and SQL. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions. Optimize and troubleshoot … Engineer or in a similar role. Strong proficiency in AWS services related to data engineering (e.g., S3, Redshift, Glue). Hands-on experience with Databricks for data processing and analytics. Proficient in Python programming for data manipulation and automation. Solid understanding of Apache Spark for big data processing. Strong SQL more »

storage Highly Preferred Technical Skills: Experience with Kubernetes for container orchestration and data platform scalability Expertise in database tuning for performance optimization Familiarity with Databricks for large-scale data processing If interested, please apply or message me directly at more »