176 to 200 of 1,314 Databricks Jobs in London

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 ...

technologies to evolve Movar's data platform. Provide technical guidance to junior engineers and contribute to team capability building. Technical Stack Core: SQL Server Databricks Infrastructure as Code (Terraform, Bicep) REST APIs GitHub Actions Microsoft Fabric DataOps practices What You'll Bring Solid understanding of data architecture, APIs, and modern ...

across comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised or Kubernetes‐based deployment approaches where relevant What We Are Looking ...

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 ...

workflows,automation, or enterprise data architecture.Knowledge of public cloud platforms such as AWS, Azure,or GCP, and exposure to cloud data platforms such asSnowflake, Databricks, BigQuery, Redshift, or MicrosoftFabric. Relevant certifications are a plus, although not arequirement.Strong understanding of analytics workflows, dataintegration, data governance, automation, and howmodern analytics solutions ...

rights, escalation routes, data standards and ongoing service management.Strong Microsoft Azure data platform knowledge, ideally including Azure Data Lake, Microsoft Fabric, Azure SQL, Synapse, Databricks, integration services, Power BI and common enterprise integration patterns.Hands-on knowledge of Microsoft Purview, including data discovery, scanning, catalogue design, glossary or business concept modelling ...

/or Genetics datasets Proficiency in cloud computing, data/scripting programming languages and workflow orchestration technologies (e.g. Python, R, Bash, SQL, Nextflow, Airflow, Databricks , etc.) Demonstrated expertise in ETL processes, data pipelines, metadata harmonisation, data lifecycle management, data product release processes and operational support Experience operationalising analytical workflows such ...

Information Architecture; Data Modelling; Data Governance; Metadata Management; Master Data Management; Data Quality; Reference Data. Cloud Platforms: Microsoft Azure; AWS; GCP. Modern Data Platforms: Databricks; Microsoft Fabric; PostgreSQL. Data Integration: Azure Data Factory; API-led Integration; Kafka; ETL/ELT; Streaming and Event-Driven Architectures. Architecture & Modelling: TOGAF; DAMA; ArchiMate ...

architectures, including data lakes, data warehouses, Lakehouse architectures, and distributed computing frameworks Experience with enterprise-scale implementations of cloud-native data platforms such as Databricks and Snowflake Good understanding of AWS data analytics services, including Redshift, EMR, Glue, Athena, Kinesis, Lake Formation, MSK, and S3 data lake patterns, with demonstrated ...

code, code review, CI/CD). Data & Pipeline Expertise: Hands-on experience optimizing data models and access patterns for modern data warehouses (Snowflake, Databricks) utilizing SQL and transformation tools like dbt. Cloud & Data Infrastructure: Experience working with scalable cloud infrastructure (AWS, GCP, or Azure), and handling columnar data formats ...

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 Things to note Just ...

real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake and DataBricks* Ability to think strategically and relate architectural decisions and recommendations to customer needs.* Ability to assess traditional and modern data architectural components based on business ...

code, code review, CI/CD). Data & Pipeline Expertise: Hands-on experience optimizing data models and access patterns for modern data warehouses (Snowflake, Databricks) utilizing SQL and transformation tools like dbt. Cloud & Data Infrastructure: Experience working with scalable cloud infrastructure (AWS, GCP, or Azure), and handling columnar data formats ...

expectations on data and AI. Experience with using 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 ...

quality & pace of your output Technologies we love Languages: Python, Spark, SQL Tools: AWS, Azure, Git, Rest APIs, Kubernetes, Docker, Terraform, Datadog Datastores: Databricks, OpenSearch, Postgres Equal Opportunity Statement At Altana, we believe that a diverse workforce enables greater creativity, performance, and adaptability. We’re proud to be an equal ...

Consulting implementation partner or as part of a delivery/technical consulting team in a software company.* Experience with large data such as Snowflake, Databricks, AWS, Google Cloud Storage/Big Query, Azure administration or architecture* Experience with Customer Data platforms such as Segment, Tealium, Adobe Experience Platform, Amperity, Treasure ...

across comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised or Kubernetes-based deployment approaches where relevant You will also work with ...

global, cross-functional teamsPreferredExperience with NLP, computer vision, or multimodal AI modelsKnowledge of AI safety, guardrails, and responsible AI practices in productionFamiliarity with Snowflake, Databricks, or similar data platformsPrior experience acting as an AI champion or innovator within a larger organisationConsulting or client-facing delivery experienceBachelor or Master degree ...

Senior Databricks Data Engineer | Global Real Estate Investment Manager | London (Hybrid) Marks Sattin is partnering with a global real estate investment and asset management organisation undergoing a significant transformation of its data estate. As part of a wider modernisation programme, the business is migrating critical real estate data capabilities from … legacy SQL Server environments into a modern Databricks platform, creating a more scalable, governed and future-ready foundation for analytics, reporting and investment decision-making. This is an opportunity to play a key role in shaping the future of a business-critical data platform used across real estate equity ...

Senior Databricks Data Engineer | Global Real Estate Investment Manager | London (Hybrid) Marks Sattin is partnering with a global real estate investment and asset management organisation undergoing a significant transformation of its data estate. As part of a wider modernisation programme, the business is migrating critical real estate data capabilities from … legacy SQL Server environments into a modern Databricks platform, creating a more scalable, governed and future-ready foundation for analytics, reporting and investment decision-making. This is an opportunity to play a key role in shaping the future of a business-critical data platform used across real estate equity ...

place where you can grow, belong and thrive. Your day at NTT DATA Primary Responsibilities Client Engagement & Delivery Data Pipeline Development (Batch and Streaming) Databricks & Lakehouse Architectures Data Modelling & Optimisation ( Delta Lake , Medallion architecture ) Collaboration & Best Practices Quality, Governance & Security Business Relationships Solution Architects Data Engineers, Developers, ML Engineers … Architect, and Analytics leadership To thrive in this role, you need to have: Key Competencies Proven experience in data engineering and pipeline development on Databricks and cloud-native platforms. Strong consulting values with ability to collaborate effectively in client-facing environments. Hands-on expertise across the data lifecycle: ingestion, transformation ...

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 ...

Computer Science, Data/Business Analytics, or a relevant field (or equivalent experience) Exposure to big data processing frameworks such as Spark or Databricks Experience implementing CI/CD pipelines for data or reporting workflows Familiarity with data governance, security, and compliance frameworks Retail industry experience is preferred … modern data engineering practices, including DevOps, CI/CD, and agile delivery methods Exposure to cloud‐based data platforms and distributed data processing (e.g. Databricks, Spark) We are committed to developing your career and nurturing your talent, regardless of age; disability; gender reassignment; marriage and civil partnership; pregnancy and maternity ...

place where you can grow, belong and thrive. Your day at NTT DATA Primary Responsibilities Client Engagement & Delivery Data Pipeline Development (Batch and Streaming) Databricks & Lakehouse Architectures Data Modelling & Optimisation (Delta Lake, Medallion architecture) Collaboration & Best Practices Quality, Governance & Security Business Relationships Solution Architects Data Engineers, Developers, ML Engineers … Architect, and Analytics leadership To thrive in this role, you need to have: Key Competencies Proven experience in data engineering and pipeline development on Databricks and cloud-native platforms. Strong consulting values with ability to collaborate effectively in client-facing environments. Hands-on expertise across the data lifecycle: ingestion, transformation ...

place where you can grow, belong and thrive.Your day at NTT DATAPrimary Responsibilities• Client Engagement & Delivery• Data Pipeline Development (Batch and Streaming)• Databricks & Lakehouse Architectures• Data Modelling & Optimisation (Delta Lake, Medallion architecture)• Collaboration & Best Practices• Quality, Governance & SecurityBusiness Relationships• Solution Architects• Data Engineers, Developers, ML Engineers, and Analysts• Client stakeholders … Data Architect, and Analytics leadershipTo thrive in this role, you need to have:Key Competencies• Proven experience in data engineering and pipeline development on Databricks and cloud-native platforms.• Strong consulting values with ability to collaborate effectively in client-facing environments.• Hands-on expertise across the data lifecycle: ingestion, transformation ...