201 to 225 of 424 Databricks Jobs in London

in customer and marketing analytics. Expect to collaborate with data engineers, work cross-functionally across the business, and have access to modern tools like Databricks, Power BI, and Azure-based platforms. What you'll be doing: Partnering with stakeholders across departments to understand business questions and data needs Designing, building More ❯

Apache Spark or AWS Glue Cloud Native storage: Iceberg, RDS, RedShift, Kafka IaC: Terraform, Ansible CI/CD: Jenkins, Gitlab Other platforms such as Databricks or Snowflake will be considered You will have a fantastic opportunity to lead the Data Platform Engineering division whether you decide to take your career More ❯

in customer and marketing analytics. Expect to collaborate with data engineers, work cross-functionally across the business, and have access to modern tools like Databricks, Power BI, and Azure-based platforms. What you’ll be doing: Partnering with stakeholders across departments to understand business questions and data needs Designing, building More ❯

in customer and marketing analytics. Expect to collaborate with data engineers, work cross-functionally across the business, and have access to modern tools like Databricks, Power BI, and Azure-based platforms. What you'll be doing: Partnering with stakeholders across departments to understand business questions and data needs Designing, building More ❯

experience as a Platform Technical Lead, Data Architect, or similar role , leading enterprise data platforms at scale. Strong technical expertise in Azure, AWS, Snowflake, Databricks, Data Lakes, and Kafka . Deep understanding of modern data platform architectures , including Lakehouse, Kappa, and Lambda . Experience designing and managing secure, scalable, and More ❯

experience as a Platform Technical Lead, Data Architect, or similar role , leading enterprise data platforms at scale. Strong technical expertise in Azure, AWS, Snowflake, Databricks, Data Lakes, and Kafka . Deep understanding of modern data platform architectures , including Lakehouse, Kappa, and Lambda . Experience designing and managing secure, scalable, and More ❯

Experienced in designing and implementing data architecture within complex organisations. Expertise in modern data architectures I.E data lakes and warehouses. Hands on experience with Databricks and Cloud services (Azure, GCP OR AWS). Experience in using cloud-native services for data engineering and analytics. Experience with distributed systems, serverless data More ❯

Experienced in designing and implementing data architecture within complex organisations. Expertise in modern data architectures I.E data lakes and warehouses. Hands on experience with Databricks and Cloud services (Azure, GCP OR AWS). Experience in using cloud-native services for data engineering and analytics. Experience with distributed systems, serverless data More ❯

controls. Preferred Qualifications: Candidates with the following knowledge areas, though not required, are preferred: Operating Systems: Windows, Unix, Linux Databases: Oracle, Sybase, SQL Server, Databricks, Postgres Code and Scripting Languages: SQL, PowerShell, Linux shell scripting, Python and an understanding of operating systems Windows and Linux and accounts management on these More ❯

AI for advanced document handling and provides shared AI functionalities for end user applications. Our technology primarily utilises the MS Azure ecosystem, especially Azure Databricks and Azure AI services. What will your essential responsibilities include? Manage and coach a team of 7 FTEs, and multiple contractor staff. These are split More ❯

A/B testing. Strong machine learning and statistical knowledge. Preferred Qualifications: Proficient with Machine learning frameworks such as Tensorflow, PyTorch, MLlib. Experience with Databricks, Spark, Tecton, Kubernetes, Helm, Jenkins. Familiarity with standard methodologies in large-scale DL training/Inference. Experience with reducing model serving latency, memory footprint. Experience More ❯

where data content, data structure and data metadata may not align with the documentation Having experience in using these technologies in a Production context: Databricks, dbt, Teradata, Bash, Python, Azure Data Factory, CI/CD pipelines, Data warehousing, GitHub Our customer first behaviours put customers and members at the heart More ❯

where data content, data structure and data metadata may not align with the documentation Having experience in using these technologies in a Production context: Databricks, dbt, Teradata, Bash, Python, Azure Data Factory, CI/CD pipelines, Data warehousing, GitHub Our customer first behaviours put customers and members at the heart More ❯

about emerging technology and Insurtech Desirable; Experience with dbt Experience with version control software Experience within a modern cloud data warehouse, e.g. BigQuery, Snowflake, Databricks Experience working on data within Insurance and/or a B2B company About Us; We’ve combined groundbreaking AI and industry expertise to create a More ❯

Motivated to expand technical skills. Desirable Experience with Microsoft BI Tools such as Power BI, SSRS & SQL Server. Experience with Azure Data Factory and Databricks (Python). Experience working with DevOps, IaC & CI/CD pipelines (e.g. Terraform and Databricks Asset Bundles). More ❯

Motivated to expand technical skills. Desirable Experience with Microsoft BI Tools such as Power BI, SSRS & SQL Server. Experience with Azure Data Factory and Databricks (Python). Experience working with DevOps, IaC & CI/CD pipelines (e.g. Terraform and Databricks Asset Bundles). More ❯

of Data Engineering to lead data strategy, architecture, and team management in a fast-paced fintech environment. This role involves designing scalable Apache Spark , Databricks , and Snowflake solutions on Azure , optimizing ETL/ELT pipelines , ensuring data security and compliance, and driving innovation in big data processing. The ideal candidate … data engineers, fostering a culture of innovation, collaboration, and best practices. Big Data Processing: Architect, optimize, and manage big data solutions leveraging Apache Spark, Databricks, and Snowflake to enable real-time and batch data processing. Cloud Data Infrastructure: Oversee the deployment and maintenance of Azure-based data platforms, ensuring high … in data engineering, with at least 3+ years in a leadership role within fintech or financial services. Strong hands-on experience with Apache Spark, Databricks, Snowflake, and Azure Data Services (Azure Data Lake, Azure Synapse, etc.). Deep understanding of distributed computing, data warehousing, and data lake architectures. Proficiency in More ❯

month • Sector: Technology Required Skills: • LLM (Latent Log-linear Model) : Expertise in using LLM for advanced predictive modelling and analysis. • Data Bricks : Proficiency with Databricks platform for big data processing and analytics. • Machine Learning : Strong background in developing and deploying machine learning algorithms and models. • Python : Excellent coding skills in More ❯

month Sector: Technology Required Skills: LLM (Latent Log-linear Model): Expertise in using LLM for advanced predictive modelling and analysis. Data Bricks: Proficiency with Databricks platform for big data processing and analytics. Machine Learning: Strong background in developing and deploying machine learning algorithms and models. Python: Excellent coding skills in More ❯

for executing comprehensive manual tests to ensure the quality of data flows across various Chambers products and platforms, with a primary focus on the Databricks environment. This role plays a critical part in maintaining the integrity and reliability of our data services. Main Duties and Responsibilities: Collaborate with cross-functional More ❯

Data, Analytics and AI concepts and experience in either delivery or pre-sales or solutions on next-gen Data on Cloud Technologies (e.g. Microsoft, Databricks, Snowflake, AWS, GCP) Successfully delivered Projects/Programs in building Enterprise Datra Platform on Cloud, Migration Programs, Data Consulting, or projects encompassing Data and Analytics More ❯

concept to completion You have extensive, up-to-date knowledge and hands-on experience with machine learning and data engineering technologies (e.g., Kubernetes, Spark, Databricks, GPU) You have a proactive, problem-solving mindset with the ability to simplify complexity and translate high-level business requirements into specific projects You have More ❯

technical and non-technical stakeholders alike. The Head of BI will work within a modern, cloud-based BI ecosystem, including: Data Integration: Fivetran, HVR, Databricks, Apache Kafka, Google BigQuery, Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power … BI, Excel, Snowflake SQL REST API Advanced Analytics: Databricks (AI & Machine Learning) Governance & Infrastructure: Centralised Data Catalogue & Access Control (Okta) Job Scheduling & Monitoring (AWS, Splunk) Agile Data Engineering with centralised code repositories BI Data Portal: Power BI However this coexists with a legacy tech stack, which the head of BI More ❯

Data Scientist with Databricks Experience Salary-up to £90K base + bonus + benefits Location- Work from Home but accessible to travel to London when needed Our client is an international company that requires a senior Data Scientist with experience in Azure Databricks, Knowledge Graph, Neo4J Graph Database, and RAG … pipelines for LLM to join the team. Job Description: Responsibilities: Develop and implement data models and algorithms to solve complex business problems. Utilize Databricks to manage and analyse large datasets efficiently. Collaborate with cross-functional teams to understand business requirements and deliver data-driven insights. Design and build scalable data … industry trends and best practices in data science and big data technologies. Requirements: Proven experience as a Data Scientist or similar role. Proficiency with Databricks and its ecosystem. Strong programming skills in Python, R, or Scala. Experience with big data technologies such as Apache Spark, Databricks. Knowledge of SQL and More ❯

deliverables. Motivated to expand technical skills. Experience with Microsoft BI Tools such as Power BI, SSRS & SQL Server. Experience with Azure Data Factory and Databricks (Python). Experience working with DevOps, IaC & CI/CD pipelines (e.g. Terraform and Databricks Asset Bundles). More ❯