601 to 625 of 1,396 Permanent Databricks Jobs

large data volumes and high-traffic applications. Strong integration knowledge: Salesforce APIs, event-driven integration, MuleSoft or equivalent, and enterprise data platforms (e.g. Snowflake, Databricks, Azure, MS Fabric). A track record of defining technical strategy and roadmaps, and of org and platform strategy (single vs multi-org, including ...

orchestration. Experience with content, publishing, or knowledge‐management workflows (CMS integrations, editorial tooling, document processing). Exposure to modern data platforms (e.g. Snowflake, ClickHouse, Databricks, BigQuery) or working with data engineering teams. A background or coursework in machine learning, NLP, or data science. Open‐source contributions, side projects, or writing ...

driving products. Collaborate with internal teams to understand requirements and build solutions with global geospatial data. Design and build data pipelines with PySpark and Databricks to enrich fleet data with mapping and road-network information at global scale. Build applications and datasets that support route planning and the preparation ...

Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or a related field. Knowledge in Python, SQL, Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms is a plus. Deep understanding of econometrics, regression, Bayesian statistics, and advanced modelling techniques. Proven ability to handle large ...

technological footprint in the market This role will require a solid understanding of Azure-based architectures, data and AI platforms (e.g., Databricks, M365 integrations), and modern DevOps practices to ensure effective collaboration across globally distributed development teams. Your key responsibilities Within large projects, define and maintain realistic delivery plans, ensuring ...

large data volumes and high-traffic applications. Strong integration knowledge: Salesforce APIs, event-driven integration, MuleSoft or equivalent, and enterprise data platforms (e.g. Snowflake, Databricks, Azure, MS Fabric). A track record of defining technical strategy and roadmaps, and of org and platform strategy (single vs multi-org, including ...

platforms, AI governance and responsible AI.Familiarity with major cloud and AI platforms such as Microsoft Azure, AWS, Google Cloud, OpenAI, Anthropic, Google/Gemini, Databricks, Snowflake and other relevant enterprise AI technologies.Understanding of the UK Banking regulatory environment and the implications of AI for risk, governance, resilience and compliance.Experience creating ...

large data volumes and high-traffic applications.Strong integration knowledge: Salesforce APIs, event-driven integration, MuleSoft or equivalent, and enterprise data platforms (e.g. Snowflake, Databricks, Azure, MS Fabric).A track record of defining technical strategy and roadmaps, and of org and platform strategy (single vs multi-org, including the business, cultural ...

reusable integration frameworks. Promote API-first design, event-driven architecture, cloud-native patterns, automation, observability, resilience, and scalable support models across Azure, AWS, Databricks, Snowflake, Kafka, Solace, RMDS/TREP, and related technologies.Governance, Licensing & Operational ControlPartner with governance, compliance, audit, commercial, and technology stakeholders to strengthen market data governance, data ...

operations. You have hands-on experience building data pipelines and integrations using at least one enterprise data platform or technology, such as Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, or an enterprise MDM platform. You are proficient in SQL and can build, debug, and optimize multi-table queries, joins ...

model or capability, including deciding what was good enough. Experience with a modern data stack comparable to ours: a cloud data lake, Spark or Databricks, and AWS. Clear communication with technical and non technical stakeholders, and the ability to cascade direction to a team so that each person knows ...

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 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 ...

Edenred PayTech in Swindon/London is seeking a Data Engineer to design, build, and maintain data pipelines and infrastructure on our platform. You will work across sources, load and transform data, ensuring quality, reliability ...

Edenred PayTech in Swindon/London Hybrid is seeking a Data Engineer to design, develop and maintain data pipelines and infrastructure on AWS, loading, transforming and validating data from multiple sources to ensure quality and ...

Title Analytics Engineer Job Description Summary Analytics Engineer | Databricks | Agentic AI | EMEA & APAC We lead the data transformation of our EMEA and APAC business, and we are looking for an Analytics Engineer to join us. Our lakehouse platform is mature and well established. It is built on Databricks and already … business, and we are looking for an Analytics Engineer to join us. Our lakehouse platform is mature and well established. It is built on Databricks and already runs the business end to end. What comes next is the harder part, putting agentic capability to work at real enterprise scale ...

MPM Products Limited in Manchester is seeking a Data Engineer to develop, maintain and optimise our data infrastructure, ensuring scalable, secure centralised data assets and reliable ETL pipelines using Azure Databricks. You will lead end ...

Reply is looking for a Data Engineer to join our London team. You will design and develop high-performance big data applications, manage complex data sets, and work across the full development lifecycle as a ...

JPMorganChase in Glasgow, United Kingdom, is seeking a Lead Software Engineer in the Corporate Technology team to deliver trusted, market-leading technology products and support scalable, secure solutions. You will work in an agile team ...

latest data technologies and trends and make recommendations for technology adoption and improvements. Skills, Knowledge and Expertise Excellent understanding of Azure data tools, especially Databricks Proven experience as a Data Engineer, working with Azure data services. Strong understanding of data modeling concepts and relational and non-relational databases. Proficiency … experience with data integration and ETL tools (e.g., Azure Data Factory, Azure Databricks). Experience with data warehousing concepts and technologies (e.g., Azure Synapse Analytics, Azure Data Lake Storage). Familiarity with big data technologies and frameworks (e.g., Hadoop, Spark) is a plus. Knowledge of data governance and data security ...

recruitment projects we undertake for our partners, we are currently looking for: Responsibilities Design, develop, and maintain scalable data solutions across Azure Synapse, Azure Databricks, and Data Lakehouse environments Implement and optimize ETL/ELT processes for ingesting, transforming, and serving data across multiple business domains Develop and maintain data … using Python, SQL, and Apache Spark Support migration and modernization initiatives, including Unity Catalog adoption, platform upgrades, and data platform transformations Build and maintain Databricks workflows, Delta Live Tables (DLT), metadata-driven frameworks, and orchestration processes Collaborate with architects, analysts, and business stakeholders to translate business requirements into technical solutions ...

bids, and help build the practice’s capability through thought leadership and shared assets.You will be comfortable working across major cloud data platforms (including Databricks and Snowflake) and will bring strong data modelling and delivery leadership skills. You will act as a trusted advisor to clients and internal teams, defining … between business, technology and data architectures.Lead and develop architecture and engineering teams (onshore/nearshore/offshore).Work confidently across cloud data platforms (Azure, Databricks, Snowflake and others) as client needs require, while maintaining Fabric as the primary strength.Keep the practice current with Fabric capabilities and related data platform developments ...

Senior Data Engineer – Remote (Senior Data Engineer, Data Engineer, SQL, T-SQL, SQL Server, Azure SQL, Python, PySpark, Microsoft Fabric, Databricks, Synapse, Delta/Parquet, Power BI, Agentic AI, Infrastructure as code, IaC, CI/CD, data warehousing, data lakehouse, data architecture, Agile, Senior Data Engineer, Data Engineer) Our client … Server/Azure SQL, data modelling experience and strong Python (PySpark, notebooks). Exposure to Microsoft Fabric is required, or at least Databricks/Synapse and the Delta/Parquet ecosystem, as well as Power BI semantic modelling. You will also need an understanding of information security and data protection ...

Senior Data Engineer – Remote (Senior Data Engineer, Data Engineer, SQL, T-SQL, SQL Server, Azure SQL, Python, PySpark, Microsoft Fabric, Databricks, Synapse, Delta/Parquet, Power BI, Agentic AI, Infrastructure as code, IaC, CI/CD, data warehousing, data lakehouse, data architecture, Agile, Senior Data Engineer, Data Engineer) Our client … Server/Azure SQL, data modelling experience and strong Python (PySpark, notebooks). Exposure to Microsoft Fabric is required, or at least Databricks/Synapse and the Delta/Parquet ecosystem, as well as Power BI semantic modelling. You will also need an understanding of information security and data protection ...

Engineer, you will design, develop, and implement data solutions using cloud-based services, focusing on Microsoft Azure technologies such as Azure Data Factory, Azure Databricks, Synapse Analytics, and Data Lake Storage. You will collaborate with clients and internal teams to understand business requirements, troubleshoot data issues, and deliver robust solutions … junior engineers and contribute to team development. About the Candidate: Experience in data engineering with Microsoft Azure. Hands-on experience with Azure Data Factory, Databricks, Synapse Analytics, and Data Lake Storage. Strong Python, Scala, or SQL development background. Understanding of data modelling and analytics solutions. Ability to work ...

Engineer, you will design, develop, and implement data solutions using cloud-based services, focusing on Microsoft Azure technologies such as Azure Data Factory, Azure Databricks, Synapse Analytics, and Data Lake Storage. You will collaborate with clients and internal teams to understand business requirements, troubleshoot data issues, and deliver robust solutions … junior engineers and contribute to team development. About the Candidate: Experience in data engineering with Microsoft Azure. Hands-on experience with Azure Data Factory, Databricks, Synapse Analytics, and Data Lake Storage. Strong Python, Scala, or SQL development background. Understanding of data modelling and analytics solutions. Ability to work ...