18 of 18 Databricks Jobs in West London

e.g., SQL, Python, Spark, cloud platforms), with a commitment to code quality and delivery excellence Preferred qualifications, capabilities, and skills Hands-on experience with Databricks for scalable data engineering, analytics, and collaborative development, as well as proficiency in managing large datasets using Apache Iceberg for efficient, reliable table management ...

helpful to have experience/expertise/knowledge in the following: Python AWS Kubernetes Spark & distributed computing dbt Terraform Data Warehousing (we use Databricks but experience with other platforms is fine) MLOps implementation (desirable but not required) Airflow (or other orchestration tooling) Governance Why else you'll love it here ...

data solutions. Key Responsibilities: Design and architect enterprise-scale cloud data platforms. Define data architecture strategies, standards and governance. Deliver modern data solutions using Databricks, Snowflake, AWS and GCP. Enable advanced analytics, AI and machine learning capabilities. Work closely with engineering, data and business teams to deliver ...

work effectively in a collaborative, cross-functional team. Experience with data engineering concepts such as ETL/ELT pipelines or data platforms like Databricks and Azure Data Factory would be an advantage, as would familiarity with event-driven architectures or message queues, experience with scientific, geospatial or time-series data ...

Proficient software development experience in one of J ava, Scala, or Python Software development experience with data-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 ...

Datasphere, SAP Analytics Cloud, or SAP BTP certifications.Experience in Life Sciences, Pharmaceutical, Biotechnology, or highly regulated industries.Experience with Microsoft Fabric, Azure Data Platform, Snowflake, Databricks, or other modern cloud data ecosystems.Strong knowledge of AI-driven analytics, data products, and enterprise information management frameworks.Equal Employment Opportunity (EEO)It is the policy ...

looking for a London-based Data Engineer (Databricks) who will work closely with clients in Operational Risk Management domain to design and implement scalable data solutions tailored to their business needs. This role demands both technical expertise and soft skills, as youll be translating complex data requirements into actionable architectures … directly with stakeholders. Requirements: 5+ years of hands-on data engineering experience, ideally within a consulting or client-facing environment Hands-on experience with Databricks Lakehouse Platform Strong SQL skills and proficiency in Python Experience designing and deploying solutions in cloud environments Ability to quickly grasp diverse business domains ...

design, test, and deploy our data platform and services using the below technologies: Python, pandas and SQL in Jupyter notebooks for analysis dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit for interactive data applications Airflow for orchestration Kubernetes for application deployment ...

platforms, and advanced analytics to enhance decision-making and client outcomes. We partner with leading AI and technology providers - including Anthropic, Microsoft, AWS, and Databricks - to accelerate innovation and expand platform capabilities. By connecting proprietary data, AI infrastructure, and commercial strategy, the team drives transformation across Moody's, delivering solutions ...

proven builder: You've successfully created multiple Data Science products that have moved the needle. A deployment expert: You have extensive experience with Databricks, AWS, or GCP-and real-time deployment experience is a must. Technically proficient: You possess strong Python skills and a proven aptitude for experimentation tools like ...

ensuring service issues are resolved swiftly, with minimal impact. Our Tech Stack Azure: App Services, Functions, Service Bus, Event Hub, CosmosDB, Redis, SQL Server, Databricks, Key Vault, AKS (Kubernetes), Networking, Managed Identity Infrastructure-as-Code (Terraform/Terraform Cloud) CloudFlare GitHub, GitHub Actions, Azure DevOps Pipelines Datadog C#, .NET Core ...

principles. Build complex DAX measures, KPIs and Power Query transformations. Optimise report performance, datasets and refresh processes. Integrate Power BI with SQL Server, Azure, Databricks, APIs, SharePoint and other enterprise data sources. Implement Row-Level Security (RLS) and support data governance best practices. Work with engineering teams to determine whether … reporting solutions. Strong understanding of ETL processes and data warehousing concepts. Experience integrating multiple enterprise data sources. Excellent communication and stakeholder engagement skills. Desirable Databricks experience. Azure Data Factory, Synapse or Azure SQL. Microsoft Fabric exposure. Power Platform (Power Apps/Power Automate). PL-300 certification. CI/ ...

leaders, cross-functional partners, and non-technical stakeholders Working knowledge of cloud-based data and machine learning platforms such as AWS, Azure, GCP, and Databricks, as well as the broader ecosystem used to build and deploy AI and ML products Deep expertise in artificial intelligence, with a track record ...

We are seeking an experienced Enterprise Data Architect to join a major transformation programme within a complex enterprise environment. You will be responsible for defining and delivering the organisation’s data architecture strategy, enabling improved ...

Data Engineer (Databricks) – Marketing Analytics A global leader in the mobility and vehicle rental sector is looking for a Data Engineer with strong Databricks expertise to design, build and maintain the data pipelines powering its marketing analytics and decision-making, as part of a large-scale, greenfield marketing data transformation … successful applicant will build and optimise data pipelines pulling from a wide range of sources including Salesforce and other systems into a unified Databricks lakehouse, creating a single source of truth across brand, paid media, social and CRM data. You'll work closely with marketing, analytics and data stakeholders ...

Mixpanel) are well-modelled, documented, and trusted Contribute to the design and governance of marketing data models within the broader data platform (Databricks), including gold/silver/bronze layer definitions relevant to marketing use cases Identify and close gaps in marketing data coverage; define requirements for new integrations … incrementality experiments or A/B tests in a marketing context Desirable Experience with dbt (Cloud or Core) for transformation layer development Familiarity with Databricks or similar modern data lakehouse platforms Experience with Power BI (or similar data visualisation tool) Experience in a regulated financial services or fintech environment Exposure ...

description: Develop and Manage the SAP Data & Analytics portfolio which includes Atos differentiated offerings for SAP Business Data Cloud, DataSphere, SAP Analytics Cloud, Databricks, Snowflake as well as offerings for Data Management etc. Key Responsibilities: Actively promote the offerings into the GEOs. Run regular sales enablement workshops. Assist with ...

role is accountable for establishing greenfield data flows, standards, and operating models, enabling faster, better decision‐making through accurate data, integrated views (GA4, Salesforce, Databricks, COGNOS), and scalable insight products (dashboards, attribution, MMM). Act as the primary point of contact for all digital tracking and marketing data issues, ensuring … marketing KPI dictionary and data model; steward the single source of truth. Define data pipelines between martech platforms and enterprise solutions (Salesforce, COGNOS, Databricks). Set QA/alerting SLAs, prioritise analytics backlog. Advise on experimentation, attribution and MMM, recommend budget reallocations based on evidence.Key Responsibilities:Design and build ...