101 to 125 of 336 Databricks Jobs in London

analysing unstructured data/semi structured data to solve business problems, and presenting impactful insights Experience with RPA/Automation tools Familiarity with Data Lake frameworks such as Azure DataBricks Experience using EPIC (EMR) Understanding of building and maintaining ETL packages using MS SSIS Healthcare experience (NHS/Private) or working with healthcare datasets/applications (Desirable) What can we More ❯

field with 3+ years experience. PREFERRED QUALIFICATIONS - Full-stack development experience e.g. React/Angular and integration with backend - AWS experience or working knowledge of AWS partner solutions like Databricks or Snowflake - Expertise of implementing GenAI in production including LLMs, RAG architectures, vector databases. - Experience with automation and scripting (e.g., Terraform, Python). - Knowledge of security and compliance standards (e.g. More ❯

of our data infrastructure to power our machine learning and analytics workloads to support the companies growth. Our data stack: We work with a modern data stack built on Databricks and AWS with python and pyspark as our primary tools. In this role, you'll get to: Own business critical components and perform meaningful work with an impact on our More ❯

of our data infrastructure to power our machine learning and analytics workloads to support the companies growth. Our data stack: We work with a modern data stack built on Databricks and AWS with python and pyspark as our primary tools. In this role, you'll get to: Own business critical components and perform meaningful work with an impact on our More ❯

warehouses, data lakes, data lake houses and data mesh Strong understanding of best practice DataOps and MLOps Up-to-date understanding of various data engineering technologies including Apache Spark, Databricks and Hadoop Strong understanding of agile ways of working Up-to-date understanding of various programming languages including Python, Scala, R and SQL Up-to-date understanding of various databases More ❯

to a wide variety of audiences. For candidates applying for the Senior Consultant role, we additionally require: Working experience with at least one Cloud Platform (AWS, Azure, GCP, Snowflake, Databricks etc.) and exposure to Cloud Architecture principles. Demonstrated experience in people management, product owner or workstream management. Experience supporting and participating in the commercial cycle, including defining project scope and More ❯

solutions on the Azure Cloud ecosystem. They design, build, and operate batch and real-time data pipelines using Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub. This role also involves designing, building, and operating the data layer on Azure Synapse Analytics, SQL DW, and Cosmos DB. The data engineer is proficient in Azure … Spark and SQL, Azure functions with Python, Azure Purview, and Cosmos DB. They are also proficient in Azure Event Hub and Streaming Analytics, Managed Streaming for Apache Kafka, Azure DataBricks with Spark, and other open source technologies like Apache Airflow and dbt, Spark/Python, or Spark/Scala. Required technical and professional expertise Commercial experience as a Data Engineer … or similar role, with a strong emphasis on Azure technologies. Proficiency in Azure data services (Azure SQL Database, Azure Synapse Analytics, Azure Data Factory, Azure Databricks). Experience with data modeling, data warehousing, and big data processing (Hadoop, Spark, Kafka). Strong understanding of SQL and NoSQL databases, data modeling, and ETL/ELT processes. Proficiency in at least one More ❯

Data Modelling Strong understanding of data integration, data quality, and data governance. Extensive experience in working with big data technology tools and platforms such as Microsoft Azure Data Factory, Databricks, Unity Catalog, PySpark, Power BI, Synapse, SQL Server, Cosmos Db, Python. Understanding and application of cloud architectures and microservices in big data solutions. Understanding of commodities industry. Rate/Duration More ❯

Translate non-technical requirements into technical solutions Identify new opportunities for data-driven decision-making across the business What We’re Looking For Strong data engineering skills (Python, SQL, Databricks) Experience delivering end-to-end data science and analytics projects Ability to communicate with non-technical stakeholders and work collaboratively Intellectually curious, self-motivated, and highly hands-on Comfortable working More ❯

Translate non-technical requirements into technical solutions Identify new opportunities for data-driven decision-making across the business What We’re Looking For Strong data engineering skills (Python, SQL, Databricks) Experience delivering end-to-end data science and analytics projects Ability to communicate with non-technical stakeholders and work collaboratively Intellectually curious, self-motivated, and highly hands-on Comfortable working More ❯

experience in MLOps practices, integrating machine learning models into scalable, secure production environments is a great plus Comfortable working with Bitbucket, Git, Confluence, and Jira Familiarity with platforms like Databricks is a strong advantage Strong problem-solving mindset and ability to collaborate across teams Clear communicator able to explain complex technical concepts simply and effectively. Qualifications and Requirements: Bsc/ More ❯

a range of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing - Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience helping others to use them. If you are seeking a Data Science leadership role get in More ❯

essential for automating models and advancing our engineering practices. You're familiar with cloud technologies . You have experience working with data in a cloud data warehouse (Redshift, Snowflake, Databricks, or BigQuery) Experience with a modern data modeling technology (DBT) You document and communicate clearly . Some experience with technical content writing would be a plus You are excited to More ❯

solution principal role. Experience supporting sales forecasting, pipeline management, deal structuring, and sales coaching. Familiarity with AI/ML and Data Management frameworks and tools (TensorFlow, PyTorch, Keras, Spark, Databricks etc.) Experience in on-premise data center infrastructures relevant to AI/ML, Data and Data Management Strong cross-functional leadership and internal stakeholder management skills. Exceptional presentation, proposal development More ❯

delivery within constraints. Demonstrate strong organisational skills to handle concurrent tasks. Ability to manage workload efficiently, addressing various issues promptly. Proficient in data analytics and manipulation Desirable: PowerBI, SQL, DataBricks, ArcGIS, ArcOnline, Excel, Google Sheets, AppSheets, ProntoForms, Jira, Lucid. If you don't meet all of our outlined requirements we'd still love for you to apply. If you feel More ❯

across multiple time zones. Ability to foster a collaborative learning environment that encourages continuous improvement and knowledge sharing. Nice to Have: Familiarity with technologies such as Elasticsearch, Solr, PostgreSQL, Databricks, Delta Share, and Delta Lake. Experience working with complex patent and litigation data models. Exposure to external data sources such as DocDB, Espacenet, and USPTO. Proficiency with Pandas and PySpark. More ❯

large-scale job orchestration frameworks such as Flyte, Spark or similar. Knowledge of GraphQL, Prisma, Kafka, or modern cloud infrastructure (Azure, GCP, or AWS) Experiencing Data lake tools (e.g. Databricks) Exposure to AI/ML model development workflows and data tooling This is a full-time role based in our office in London. At Wayve we want the best of More ❯

users in line with security standards Qualifications Experience in a data, operations, or analytics-focused role Familiarity with BI and reporting platforms such as Power BI, Datorama, Data Studio, Databricks, SQL Strong communication skills and a collaborative, solutions-focused mindset An organised, proactive approach-comfortable working across teams and timelines Excitement for new technology, data storytelling, and digital marketing innovation More ❯

users in line with security standards Qualifications Experience in a data, operations, or analytics-focused role Familiarity with BI and reporting platforms such as Power BI, Datorama, Data Studio, Databricks, SQL Strong communication skills and a collaborative, solutions-focused mindset An organised, proactive approach-comfortable working across teams and timelines Excitement for new technology, data storytelling, and digital marketing innovation More ❯

users in line with security standards Qualifications Experience in a data, operations, or analytics-focused role Familiarity with BI and reporting platforms such as Power BI, Datorama, Data Studio, Databricks, SQL Strong communication skills and a collaborative, solutions-focused mindset An organised, proactive approach-comfortable working across teams and timelines Excitement for new technology, data storytelling, and digital marketing innovation More ❯

NLP, image classifiers, deep learning, or large language models Experience with experiment design and conducting A/B tests Experience building shared or platform-style ML systems Experience with Databricks and PySpark Experience working with AWS or another cloud platform (GCP/Azure) Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and More ❯

This is an exciting contract opportunity for an SC Cleared Azure Data Engineer with a strong focus on Databricks to join an experienced team in a new customer engagement working at the forefront of data analytics and AI. This role offers the chance to take a key role in the design and delivery of advanced Databricks solutions within the Azure … ecosystem. Responsibilities: Design, build, and optimise end-to-end data pipelines using Azure Databricks, including Delta Live Tables. Collaborate with stakeholders to define technical requirements and propose Databricks-based solutions. Drive best practices for data engineering. Help clients realise the potential of data science, machine learning, and scaled data processing within Azure/Databricks ecosystem. Mentor junior engineers and support … Take ownership for the delivery of core solution components. Support with planning, requirements refinements, and work estimation. Skills & Experiences: Proven experience designing and implementing data solutions in Azure using Databricks as a core platform. Hands-on expertise in Delta Lake, Delta Live Tables and Databricks Workflows. Strong coding skills in Python and SQL, with experience in developing modular, reusable code More ❯

engineers and scientists working across Africa, Europe, the UK and the US. ABOUT THE ROLE Sand Technologies focuses on cutting-edge cloud-based data projects, leveraging tools such as Databricks, DBT, Docker, Python, SQL, and PySpark to name a few. We work across a variety of data architectures such as Data Mesh, lakehouse, data vault and data warehouses. Our data … RESPONSIBILITIES Data Pipeline Development: Lead the design, implement, and maintain scalable data pipelines for ingesting, processing, and transforming large volumes of data from various sources using tools such as databricks, python and pyspark. Data Architecture: Architect scalable and efficient data solutions using the appropriate architecture design, opting for modern architectures where possible. Data Modeling: Design and optimize data models and … or SQL for data manipulation and scripting. Strong understanding of data modelling concepts and techniques, including relational and dimensional modelling. Experience in big data technologies and frameworks such as Databricks, Spark, Kafka, and Flink. Experience in using modern data architectures, such as lakehouse. Experience with CI/CD pipelines, version control systems like Git, and containerization (e.g., Docker). Experience More ❯

AWS Data Engineer London, UK Permanent Strong experience in Python, PySpark, AWS S3, AWS Glue, Databricks, Amazon Redshift, DynamoDB, CI/CD and Terraform. Total 7 + years of experience in Data engineering is required. Design, develop, and optimize ETL pipelines using AWS Glue, Amazon EMR and Kinesis for real-time and batch data processing. Implement data transformation, streaming, and More ❯

data platforms, especially Data Lakehouse, to enhance underwriting analytics and business insights. Key requirements Hands on experience designing and delivering solutions using Azure services including Azure Data Factory, Azure Databricks High proficiency in SQL and Python Insurance background If you are looking for a company who nurture and retain the best talent in the market then apply today. Interviews are More ❯