1 to 25 of 101 Permanent Databricks Jobs in Central London

diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Senior Manager - Databricks AI & Data Client Solutions Lead Location: London, UK (Hybrid) Level: Senior Manager Practice: AI & Data We are looking for an outstanding Senior Manager - Databricks … Data Client Solution Lead to help scale our Databricks-led AI and Data business. This role is for someone who can be deployed directly with clients to identify business challenges, shape Databricks-based solutions and lead teams to deliver production-grade data, analytics, AI and GenAI capabilities. This ...

designing and building modern data pipelines and Lakehouse architectures Hands-on experience with at least one enterprise-grade data platform (e.g., Google BigQuery, Snowflake, Databricks, or equivalent) Familiarity with cloud services and deployment automation (e.g., GCP, AWS, Terraform, CI/CD, Git) Ability to deliver clear, insightful, and performant data ...

engineering projects, workstreams or technical teams. Strong knowledge of cloud data platforms and modern data services. Experience with platforms such as Snowflake, Microsoft Fabric, Databricks or equivalent. Strong understanding of data modelling, data warehousing, Lakehouse and modern data architecture. Experience with data governance, data quality and metadata management. Exposure ...

with front‐end web technologies and frameworks such as React and Next.js. Experience with nextgen datawarehouse/data analytics platforms such as Snowflake or Databricks Your First 6 Months You can expect to quickly become involved in meaningful production work, including: 1. AWS Cloud Migration Support key elements ...

SKILLS AND EXPERIENCE: You will bring strong capability in: Microsoft SQL Server and data warehousing (Synapse/Fabric/Azure SQL) Azure Data Factory, Databricks, and modern ETL tooling Data modelling, data migration, and large-scale data transformation Building and maintaining cloud-based data platforms Working within Agile delivery environments ...

expectations on Data Engineering and AI. Exposure to data platforms, programming languages and AI tools, such as Alteryx, Knime, Power BI, Microsoft Fabric, Tableau,Databricks, Snowflake, Microsoft Purview, Collibra, Informatica,Claude, Chat GPT,Microsoft Copilot,Python and SQL among others, to deliver practical and impactful analytics assurances and solutions. Experience ...

with London Market experience. Strong knowledge of insurance data models, including policy, claims, and risk-related structures. Expertise in Azure Cloud Services (Data Factory, Databricks, Key Vault, Azure SQL) and data warehousing methodologies (Kimball, Inmon). Proficiency in T-SQL for data transformation and summarisation, with Python skills for building ...

Data Engineering, Analytics Engineering, Solution Engineering, or related disciplines within enterprise environments 4+ years of hands-on experience designing and implementing solutions on the Databricks Lakehouse Platform Strong expertise in Apache Spark, SQL, Python, Delta Lake, and modern data engineering practices Experience building and optimizing Extract, Transform, Load and Extract … requirements into technical solutions Education Bachelor's degree or equivalent qualification in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field Databricks Data Engineer Associate certification or higher preferred Databricks Generative AI Engineer Associate certification preferred Responsibilities Design, build, and support scalable data, analytics, and artificial intelligence ...

/or Python . Expertise in SQL and large-scale data modelling. Strong cloud experience across GCP, AWS, or Azure . Experience with Databricks, Snowflake, or Hadoop ecosystems . Knowledge of data ingestion, ETL/ELT frameworks, and batch/real-time processing. Applications are now open. #J-18808-Ljbffr ...

guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop. Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create data pipelines ...

solutions and mentor junior engineers. We’re looking for someone who can offer the following skills & experience. Strong experience in Python, PySpark/Spark, Databricks, Azure Data Factory, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest. Experience designing, building and supporting scalable data pipelines and data products ...

building data pipelines. Knowledge of Python for data analysis and automation. Experience building automated reporting solutions or data workflows. Hands-on experience using Databricks for analytics and reporting workflows ...

Python and SQL and the ability to write complex SQL queries. Use of GitHub and CI/CD practices. Support development of the Azure Databricks Lakehouse platform, shaping frameworks and solutions that other engineering teams will adopt in future data projects. Build, optimise, and maintain data processing frameworks using Python … deliver approved solutions. Take ownership of requirements, communicate effectively across teams, and deliver high quality solutions. Experience of DevOps and infrastructure deployments (Azure and Databricks). A proactive awareness of industry standards, regulations, and developments. Multi-skilled experience in one or more of the following disciplines: Data Management, Data Engineering ...

expectations on data and AI. Exposure to data platforms, programming languages and AI tools, such as Alteryx, Knime, Power BI, Microsoft Fabric, Tableau,Databricks, Snowflake, Microsoft Purview, Collibra, Informatica,Claude, Chat GPT,Microsoft Copilot,Python and SQL among others, to deliver practical and impactful analytics assurances and solutions. Experience ...

identify trends and business opportunities. Excel Advanced Excel skills, including: Power Query Power Pivot Complex formulas and modelling techniques Preferred Skills: Experience working with Databricks in a modern data platform environment. Knowledge of dbt (Data Build Tool) for data transformation and modelling. Familiarity with cloud-based data platforms, particularly Microsoft ...

microservices. Contribute to Disaster Recovery planning and platform resilience. Implement Identity and Access Management (IDAM) and enterprise security architecture. Support data architecture using Databricks, Snowflake, ETL pipelines, and Big Data tools. Champion Data Governance practices including classification, cataloging, and lineage. Ensure compliance with ISO 27001, GDPR, PCI DSS, and other ...

Experience in retail, ecommerce or fashion, particularly across commercial, buying, merchandising or supply chain. Data skills including SQL, data modelling and platforms such as Databricks or Microsoft Fabric. Experience with responsible AI and governance, emerging agent standards such as Model Context Protocol (MCP), or ITIL based service management. ...

. Key Responsibilities Azure Platform Support & Monitoring Support and maintain Azure-based data solutions, including Azure Data Factory pipelines, datasets, linked services, triggers; Azure Databricks (Spark jobs, notebooks, clusters); Azure Machine Learning models and endpoints; Power BI dashboards and dataset refreshes. Monitor and troubleshoot failures in pipelines, jobs … workflows using Azure Monitor, Log Analytics, and custom alerting. DevOps & Automation Maintain CI/CD pipelines using Azure DevOps, GitHub Actions, etc., for ADF, Databricks and ML model deployments. Develop automation scripts in Python, PowerShell, or Bash to reduce manual intervention and improve service reliability. SQL and Data Warehouse Operations ...

Skills/Experience Although not essential, the following skills are desired by the client: Asset/investment management or financial services experience. Aladdin experience. Databricks experience.Working knowledge of Informatica. Experience with cloud migration and Modern Data Stack environments. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will ...

deployment) Proficient software development experience in one of J ava, Scala, or Python Software development experience withdata-processing platforms from vendors including Informatica, Azure Databricks or any relevant ETL tools Expert in SQL or SQL extensions for analytical use case Expert understanding of distributed data stores and data processing frameworks ...

Strong technical understanding of modern data architectures and platforms, including data modeling concepts, ETL/ELT patterns, cloud data platforms such as Snowflake and Databricks, data quality tools, metadata tools, lineage tools and data governance tools such as Collibra, Unity Catalog. Working knowledge of SQL and data-analysis techniques, with ...

expert‐level Python proficiency and experience with core data science and ML libraries (e.g., scikit‐learn, pandas, PyTorch or TensorFlow). Practical experience with Databricks, including MLflow for experiment tracking and model management, and Spark‐based data processing. Familiarity with Generative AI concepts and tooling, including working with LLMs, prompt ...

client sites as needed. Ideal candidate has FS regulatory experience, data governance expertise, and hands-on use of tools such as Alteryx, Power BI, Databricks, Snowflake, Python and SQL to deliver practical analytics assurances and audits. #J-18808-Ljbffr ...

data ingestion, transformation, orchestration and SQL based development Experience working with senior stakeholders, Enterprise Architecture and governance functions Bonus, experience with Microsoft Fabric, Databricks or Azure Synapse This is a Permanent role, with hybrid working based in London. Paying around ...

genuine interest in developing into an architectural role Experience working closely with Data Engineers, Analytics teams, and business stakeholders Exposure to Microsoft Fabric, Databricks, Python, PySpark, or dbt would be beneficial Experience with data modelling tools such as Sparx EA, Sparx Enterprise Architect, Enterprise Architect, ER/Studio, ERwin, Erwin ...