876 to 900 of 1,246 Databricks Jobs in London

most complex business issues, let’s talk. What you’ll do Design, development, and delivery of enterprise‐grade analytics solutions based on Azure and Databricks technologies Evangelise and evolve best practices for our clients and our team including mentoring your colleagues, supporting their personal development Constantly developing technical skills … latest Azure and Databricks technologies – achieving & maintaining relevant certifications Working directly with high‐profile clients across a variety of sectors to understand their requirements and present solutions to customer sponsors Skills and experiences Demonstrable end‐to‐end experience in Data Engineering, including large‐scale projects Experience in working with ...

data processing and manipulation SQL and no SQL database technologies e.g. Azure SQL or SQL Server, PostgreSQL, Snowflake, MySQL, Cosmos DB or Mongo DB Databricks and Azure DevOps ELT/ETL tools such as Azure Data Factory and Databricks Over time you will help to build and configure data ingestion ...

decisions and run high quality experiments at scale. Job DescriptionWhat You’ll Be Doing Behavioural Data Modelling Build and extend core behavioural models in Databricks that describe how customers interact with ASOS across web and app Design and maintain: Session logic Funnels and journeys Attribution logic Feature usage and engagement … teams and analytics Data Quality & Observability In collaboration with the teams software engineers implement end-to-end data quality checks across frontend ingestion Analytics Databricks Monitor and alert on: Schema changes and validation failures Event completeness and coverage Cardinality drift Volume anomalies Identity and user stitching integrity Proactively identify ...

doingDesigning, building, and maintaining scalable data pipelines using Python and Scala, leveraging Spark and PySpark within an Azure ecosystem (including Azure Data Factory and Databricks).Developing and maintaining reusable data engineering templates, frameworks, and tooling to support data teams across ASOS.Driving standardisation and best practices across data ingestion, transformation … kind of culture where people can grow, create, and succeed.QualificationsStrong experience as a Data Engineer building scalable data platformsDeep expertise in Azure (ADF, ADLS, Databricks)Proficiency in Python and/or Scala(PySpark/Spark) for large-scale data processingHands-on experience with Databricks and Delta LakeSolid understanding ...

strategic decision-making across the Elizabeth Line. Design, develop, and maintain advanced data reporting and analytics solutions using tools such as Power BI, Azure Databricks, and Python, ensuring scalability, robustness, and alignment with future needs. Develop automated workflows and applications using Power Automate and Power Apps to streamline business processes … within Power Platform and Azure environments. Act as the technical authority and subject matter expert for advanced analytics and data engineering solutions (including Azure, Databricks and Python), providing guidance on architecture, standards and continuous improvement to ensure solutions are scalable, robust and aligned to future need. Act as a trusted ...

deploying production-ready AI and machine learning solutions Developing LLM-powered applications using RAG, vector search, retrievers and prompt orchestration Designing data pipelines using Databricks, Python, PySpark and SQL Evaluating and benchmarking AI models for quality, reliability and business impact Applying AutoML to accelerate traditional machine learning use cases Establishing … engineering standards What we’re looking for: 5+ years’ experience across AI, machine learning or data engineering Strong commercial experience with Python and Databricks Solid SQL, ETL/ELT and data pipeline experience Experience building and deploying LLM applications Knowledge of traditional machine learning and AutoML Experience taking ...

domain expertise and demonstrable experience with cloud-based services for data analytics and AI on the Microsoft Cloud (e.g. Azure ML, AI Foundry, Azure Databricks ) Experience shaping proof of concepts and evolve designs to productionised solutions with appropriate AI governance incorporating MLOps and LLMOps to manage risk and auditability Experience … role design, systems integration, and evaluation of architectures. Broader expertise of technologies and applications relevant to the Bank’s enterprise applications (e.g. Cloud, Azure, Databricks, data life cycle management, medallion architectures, data lakehouse designs, master data systems, legacy data warehouses, data engineering (ETL, ELT, CDC) for enterprise scale analytics) #J ...

design, build, and maintain scalable, secure, and high-performing cloud infrastructure on Microsoft Azure. This role is heavily focused on enabling data platforms—including Databricks, Event Hubs, and Azure Storage—through infrastructure-as-code, automation, and modern DevOps practices.You will work closely with engineering, data, and platform teams to streamline … Terraform (Infrastructure-as-Code).Build and maintain CI/CD pipelines for applications and data platforms.Deploy and support Azure-native data services including Azure Databricks, Azure Event Hubs, Azure Storage (ADLS Gen2, Blob)Manage and optimize SQL-based systems (Azure SQL/PostgreSQL/related platforms).Automate operational tasks using ...

deliver reusable technical assets — reference architectures, POV frameworks, or architectural playbooks — at scale.Fluency across the modern data and AI stack: cloud data platforms (Snowflake, Databricks, BigQuery), agentic frameworks, RAG, vector databases, LLM orchestration, data governance, and enterprise integration patterns.Experience with prompt engineering, agent lifecycle management, and hands-on prototype development.Hands … trade-offs of building with hyperscalers vs. Salesforce. Deep familiarity with Informatica (IDMC) for enterprise data integration and MDM, alongside Snowflake, Databricks, BigQuery, and Redshift.AI & Agentic Architecture Foundational ML concepts, data preparation, Python, applied AI, Generative AI, prompt engineering, retrieval-augmented generation (RAG), vector stores, and agentic architectures. Hands ...

that ingest, transform, and model people data from multiple HR and workforce systems — including Workday — into a governed, enterprise-grade data model built on Databricks and Delta Lake. Data Modelling & Standards: Own and evolve canonical people data structures across the global people data platform. Define and enforce schemas, ingestion patterns … delivery of complex pipelines and data models in a cloud environment Strong proficiency in SQL; solid Python and/or PySpark capabilityDemonstrable experience with Databricks, Apache Spark, and Delta Lake architectureProven ability to design and own enterprise-grade canonical data models across multiple upstream source systemsExperience integrating data from APIs ...

with clients and working on large-scale projectsKnowledge of a selection of the following technologies including hands on experience is preferable: Python Pandas, Azure Databricks, Alteryx, Microsoft Power Platform (PowerAutomate & PowerBI)Proven high quality delivery and attention to detailExperience working as a team and leading project teams or workstreamsWillingness … independentlyAbility to translate complex requirements to technology specialists and business analystsExperience of at least 1 of the following technologies/languages: Python Pandas, Azure Databricks, Alteryx, Microsoft Power Platform (PowerAutomate & PowerBI)Experience solving business issues using one of the above technologies Additional Desired Skills Understanding of the VAT reporting lifecycle ...

interrogate data. You will be supported by the wider Technology Solutions team for complex data engineering tasks. Experience with ETL pipelines, Python, APIs, or Databricks is a bonus and will be an advantage in this role, but is not a prerequisite. Continuous Improvement Stay current with developments in creative data … tools for executive-level reporting. Working knowledge of cloud data platforms including GCP and/or Azure. Experience with Python, ETL pipelines, APIs, or Databricks is desirable but not essential. Soft Skills & Competencies Exceptional communication skills, able to translate complex data into clear, compelling narratives for both technical ...

What To Expect From The Role Leading enterprise information architecture design, creating semantic, conceptual, logical models that engineering teams translate into Azure Synapse and Databricks based physical implementations. Architecting domain data models for commerce (store, consumer, marketing, omnichannel, e-commerce), manufacturing (production, quality, materials), and supply chain (wholesale, inventory, distribution … modern data mesh/lakehouse patterns, with ability to guide teams through transitional architectures harmonizing both paradigms. Understanding of Azure data platform capabilities (Synapse, Databricks, Unity Catalog, Data Factory) to guide architectural decisions in daily implementations. Track record of guiding teams through major digital transformations, particularly SAP S/4HANA ...

data systems RequirementsYou Will Demonstrate: Deep knowledge of the Azure data stack (Azure SQL Server, CosmosDB, Azure Data Factory, Purview, Synapse, Event Hub, Azure Databricks/Fabric) Extensive data modelling experience: both normalised relational models and de-normalised Star Schema/dimensional models Excellent relational database design skills with expertise … architectural practices Industry specialisation in specific sectors (Engineering, Manufacturing, Healthcare etc.) Public sector or defence experience Experience with modern unified data platforms like Databricks or Microsoft Fabric Understanding of data mesh or data fabric architectural approaches Relevant industry certifications such as TOGAF 9, CDMP (Certified Data Management Professional), or Microsoft ...

company. What to expect from the roleLeading enterprise information architecture design, creating semantic, conceptual, logical models that engineering teams translate into Azure Synapse and Databricks based physical implementations.Architecting domain data models for commerce (store, consumer, marketing, omnichannel, e-commerce), manufacturing (production, quality, materials), and supply chain (wholesale, inventory, distribution, planning … modern data mesh/lakehouse patterns, with ability to guide teams through transitional architectures harmonizing both paradigms.Understanding of Azure data platform capabilities (Synapse, Databricks, Unity Catalog, Data Factory) to guide architectural decisions in daily implementations.Track record of guiding teams through major digital transformations, particularly SAP S/4HANA migrations ...

DATA, Inc. is seeking an experienced Data Engineer to design and deliver Databricks-based data pipelines for complex client projects. You will engage with clients, collaborate with architects and engineers, and drive best practices across the data lifecycle. The role requires 5–8 years in data engineering, strong SQL/… Python, and hands-on experience with Databricks on cloud platforms such as AWS, Azure, or GCP. #J-18808-Ljbffr ...

We are currently looking for a Machine Learning Engineer to join our client’s data team. This is a hands‐on role where you’ll design and build robust data pipelines, transform ML prototypes into ...

Company DescriptionWe believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough ...

Job SummaryOpportunity to join Insulet as a Customer Care Data Lead (Senior Data Analyst), playing a key role in shaping data governance, reporting standards, and analytics across our International Customer Care organization. This strategic position ...

EPAM Systems in London seeks a Senior Data Engineer - Tech Lead to shape cloud-native data platforms using Azure Databricks, PySpark and Lakehouse principles. You will lead architecture, drive modernization, and mentor engineers while delivering scalable pipelines for high-volume workloads. You will collaborate with stakeholders to translate business needs ...

Talensa, partnered with a specialist B2B Financial Services tech platform, is seeking a Senior/Data Engineer to own an Azure Databricks-based data platform and BI layer. You will build and evolve cloud data pipelines, ensure data quality, and collaborate with platform engineering, data science, and business stakeholders. ...

contribute to shape the strategic direction using Agentic AI, automation, AI engineering, data platforms, reporting and self-serve analytics.. Avanade is the 7 times Databricks global partner of the year, we deliver over 4000 Microsoft data platform projects annually and deliver more Azure Databricks than any other Databricks partner.Key Responsibilities ...

hiring a Databricks Champion Architect to define and govern our modern lakehouse architecture. You’ll blend solution design, hands‐on technical leadership, and platform enablement; setting patterns, accelerating delivery teams, and ensuring production‐ready engineering on a contract basis. What you’ll do Own end‐to‐end Databricks architecture across … playbooks, templates, ADRs, coaching . Support pre‐sales and roadmap —HLDs, estimation, risks, proposals. What you’ll bring Minimum 2+ years recent hands‐on Databricks experience using modern features. Clear evidence of architecture ownership . Must Have Two active Databricks certifications (e.g. Data Engineer, ML, GenAI Engineer). Unity Catalog ...

currently seeking an MLOps AI Lead & Databricks Platform Specialist to join a global end client, taking ownership of the Databricks platform and supporting the delivery of robust, scalable MLOps capabilities. We are ideally looking for someone on a permanent basis , although contract-to-permanent could also be considered. Location: Hybrid … years’ experience Proven experience managing data/analytics platforms and/or MLOps capabilities in a complex enterprise environment. Hands-on experience operating Databricks (workspace administration, cluster policies, jobs, Delta Lake, Unity Catalog, access controls, and production support) Experience implementing MLOps practices across the model lifecycle (CI/CD, versioning ...

Location: London, UK (5 Days/Week Onsite) Type: Contract Inside IR35 Exp: 5 to 10 Years A Python + React + SQL + Databricks developer role blends backend data engineering with frontend application development, requiring strong coding skills in Python, React.js, SQL, and Databricks for building scalable, data-driven … Note: Investment banking exp is required. Key Responsibilities Backend Development (Python) Build APIs and services using Python frameworks (Flask, FastAPI, Django). Integrate with Databricks SQL endpoints for data access. Ensure performance, scalability, and security of backend systems. Databricks & Data Engineering Develop ETL pipelines and workflows using PySpark on Databricks. ...