1 to 25 of 154 Permanent Databricks Jobs in London

into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps ...

Cost/capacity optimisation. Desirable Skills & Experience Experience across adjacent Microsoft services often paired with Fabric (e.g., Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure Data Lake). Familiarity with Microsoft Purview and broader governance practices. Dynamics 365 CE and FO integration and analytics. Exposure to AI/ ...

highly skilled and experienced Senior Data Engineer to join our team and contribute to the development and maintenance of our cutting-edge Azure Databricks platform for economic data. This platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Senior Data Engineer will be responsible for building … maintain robust and scalable data pipelines for ingesting, transforming, and loading data from various sources (e.g., APIs, databases, financial data providers) into the Azure Databricks platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex ...

capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Opportunity We recognise “data” is broad, that’s why we’re keen ...

Responsibilities Ideally with previous Consultancy and CPG industry experience Design and build end-to-end data pipelines (batch and near real-time) using PySpark, Databricks, and Azure Data Platform (ADF, ADLS, Synapse) Be hands-on in development, debugging, optimization, and production support of data pipelines Work with or extend existing ...

development and automation with scalable pipeline design Mastery of data modeling techniques Skilled in data ingestion, integration, and transformation using modern tools (Data Factory, Databricks, SQL DB, Synapse, Glue, Airflow, Kinesis, Redshift) Hands-on experience with DevOps tooling: GitHub Actions, Azure DevOps, SonarQube, PyTest Proven ability to coordinate incident, problem ...

Spark SQL. Experience working with large datasets and distributed computing tools such as Azure Synapse and Snowflake. Familiarity with data transformation tools (Databricks, Azure Data Factory) and ML platforms (Azure ML, TensorFlow). Experience with data visualisation tools such as Power BI. Strong commercial acumen with the ability to translate ...

capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. We recognise “data” is broad, that’s why we’re keen ...

Location: London, Watford or Bristol (Hybrid working options available) The Lead Data Engineer will provide hands-on technical leadership in Azure cloud and Databricks-based solutions within our Enterprise Data Platform. The role requires strong expertise in Azure cloud services, Databricks, data engineering, and DevOps, leading a cross-functional team … Leading Product Increment planning to break down solutions into Features and Epics for incremental delivery. Designing and implementing scalable data solutions on Azure and Databricks within the assigned domain. Ensuring appropriate engineering standards are applied to maintain data quality, performance and reliability. Duties/Responsibilities Work with Product Owners ...

want to help solve the world's toughest problems with big data and AI? This is what we do every day at Databricks! Leading a team of Enterprise Named and Strategic Account Executives, you will be measured by achieving your team's overall quota and growing Databricks consumption. This … Customers. Knowledge of the partner ecosystem to help grow Enterprise strategic territories Success implementing strategies for consumption and commitment-based sales revenue models About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune ...

data aggregation and analytics platforms i.e. Data Lakehouse and Data Warehouse, and this would ideally have involved the use of technologies like Azure/Databricks/ADF but other cloud and database technologies considered (e.g. AWS/GCP, Snowflake, Fabric). You must be confident engaging with technical ...

data integration Experience within banking or financial services ideally regulatory reporting Strong understanding of data quality and governance Nice to Have Exposure to Azure Databricks Experience with middleware tools Kafka MQ IIB Knowledge of AQR ECB reporting Personal Skills Strong analytical and problem solving ability Excellent communication skills with both ...

complex, regulated, or customer-centric environment Degree in a quantitative field (e.g., Data Science, Economics, Engineering, Business Analytics) Deep understanding of data platforms (e.g., Databricks, Tableau Cloud), data governance, and AI/ML applications in business contexts Strategic thinker with a bias for action and a passion for unlocking business ...

Strong communication skills and experience working with stakeholders Desirable Experience with RAG pipelines and LLM-based solutions Exposure to Microsoft Copilot Studio Experience with Databricks, SQL or Python Knowledge of CI/CD and DevOps practices Background working in regulated environments ...

Python and SQL skills, experience working with data pipelines, and an understanding of cloud-based storage such as Amazon S3. Experience with tools like Databricks, Delta Lake, or BI platforms such as Power BI or Tableau would be advantageous. This organisation operates globally and is continuing to invest heavily ...

want to work in a cutting-edge company where innovation is at the heart of their culture? Do you want to learn DataBricks?, DataLake? are you excited about the cloud and AI? this hiring manager has a track record of developing and growing peoples careers! If so apply now!! Location ...

portfolio datasets Time series familiarity (trend/seasonality, cohorts over time, monitoring) Experience with data tools such as dbt, Airflow, Snowflake/BigQuery/Databricks (or similar) Experience creating automated data quality frameworks or reconciliation checks Benefits: £45,000 – £55,000 salary Hybrid working in London Strong benefits package (details ...

Probabilistic programming experience (e.g. PyMC, Stan). Causal Inference knowledge/experience. Our technology stack Python and Jupyter Notebooks. PySpark for processing big data. Databricks: Workflows, Asset Bundles, MLFlow. About Us Who we are: PEI Group is a subscriber‐focused business intelligence company. With our multi‐talented global team ...

customers. Knowledge of the partner ecosystem to help grow Enterprise strategic territories Success implementing strategies for consumption and commitment‐based sales revenue models About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune … rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn ...

data architecture with hands-on experience delivering enterprise data models Strong hands-on experience with Azure Data Factory, Synapse, Data Lake, Azure SQL, Databricks or Fabric Expertise in conceptual and logical data modelling, ideally using UML Deep understanding of Azure-aligned data architectures, including lakehouse and dimensional modelling Ability ...

wrangling, such as Pandas, NumPy, and SQLAlchemy. Experience working with traditional SQL databases (e.g. PostgreSQL, MySQL, SQL Server) and cloud data warehouses (e.g. Snowflake, Databricks, BigQuery, Redshift). Experience with time-series data, and/or implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC ...

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 implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented architecture, including exposing and consuming data via APIs, streams ...

EMEA People Partner Director, the Staff People Partner is a strategic advisor and catalyst for organisational excellence, partnering closely with senior leaders across Databricks’ European footprint. This role operates at the intersection of business strategy, talent, and transformation, shaping a high-performance, future-ready organisation in the context of rapid … initiatives. Skilled at influencing and coaching senior stakeholders with credibility and impact. Passion for building inclusive, high-performing cultures and exceptional employee experiences. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune ...

with regulatory reporting systems in banking Knowledge of data quality, security, and compliance requirements Desirable Skills Exposure to cloud platforms such as Azure or Databricks Familiarity with middleware technologies (e.g. Kafka, IIB, MQ) Experience with ECB/AQR reporting frameworks Key Competencies Strong analytical and problem-solving abilities Ability ...