901 to 925 of 1,630 Databricks Jobs in England

Data Catalog Professional- Collibra Certified Ranger/Steward/Professionals- SAP Certified Application Associate – SAP Master Data Governance (MDG)- SnowPro Core/SnowPro Advanced- Databricks Certified Data Engineer/Data Analyst/MLTravel RequirementsUp to 80%Job Posting End DateThe salary range for this position is: $99,000 - $232,000. ...

it. Nice-to-Haves Hands-on experience building multi-agent systems, prompt engineering pipelines, or deterministic AI guardrails. Familiarity with cloud data platforms (Snowflake, Databricks, BigQuery) and enterprise data pipelines. Relevant Salesforce certifications (Advanced Admin, Service Cloud, Data Cloud, Sales Cloud, or Agentforce Specialist). Unleash Your Potential Accommodations ...

line with our information governance obligations Work in close partnership with the Data Operations team, who own data analytics, data science,engineeringand product development, Databricks, and data protection,maintainingclear boundaries and strong collaboration between internal technology and client-facing data capability End-user technology and equipment Establish effective management ...

shape appropriate technologies for scalable analytics, trading strategy development, tick or time-series data, workflow automation and AI/ML-enabled use cases. Prefer Databricks, Spark and modern lakehouse patterns for scalable analytics where suitable, while recognising transferable experience with Snowflake and other enterprise data platforms. Ensure delivery choices balance … senior stakeholders, define OKRs, shape roadmaps and deliver enterprise data or analytics products. Hands-on understanding of data technologies and modern analytics platforms, preferably Databricks/Spark and lakehouse patterns; Snowflake experience is relevant and transferable but Databricks experience is preferred. Experience with Python, SQL and production analytics workflows; familiarity ...

shape appropriate technologies for scalable analytics, trading strategy development, tick or time-series data, workflow automation and AI/ML-enabled use cases. Prefer Databricks, Spark and modern lakehouse patterns for scalable analytics where suitable, while recognising transferable experience with Snowflake and other enterprise data platforms. Ensure delivery choices balance … senior stakeholders, define OKRs, shape roadmaps and deliver enterprise data or analytics products. Hands-on understanding of data technologies and modern analytics platforms, preferably Databricks/Spark and lakehouse patterns; Snowflake experience is relevant and transferable but Databricks experience is preferred. Experience with Python, SQL and production analytics workflows; familiarity ...

Data Architect (Azure) | Databricks/Fabric | Outside IR35 | London & Remote Rate: market rates, outside IR35 Location: Remote, UK. Occasional London attendance Duration: 6 months initial, likely extension Start: Immediate Data Architect required for a greenfield Azure data platform build. No legacy estate and no migration. The end client … discovery, completing within the next three to four weeks, before moving into design and delivery. The tech stack recommendation is still open, with Databricks and Microsoft Fabric the likely direction and ADF or Snowflake as outside options. Azure is confirmed. Responsibilities Own the target data architecture, from conceptual through logical ...

Senior Data Engineer to help shape the future of its data platform. You'll take ownership of building scalable data solutions in Databricks primarily, establishing a single source of truth, and enabling trusted, self-service access to data across the business. Location: UK, remote with very occasional visits … plus 10% bonus and an extensive benefits package. What you'll be doing Design, build and maintain scalable data pipelines and data products using Databricks , PySpark, Spark SQL and Delta Lake. Develop and optimise ETL/ELT processes to ingest, transform and curate data from internal and external systems. Shape ...

Senior Data Engineer to help shape the future of its data platform. You'll take ownership of building scalable data solutions in Databricks primarily, establishing a single source of truth, and enabling trusted, self-service access to data across the business. Location: UK, remote with very occasional visits … plus 10% bonus and an extensive benefits package. What you'll be doing Design, build and maintain scalable data pipelines and data products using Databricks , PySpark, Spark SQL and Delta Lake. Develop and optimise ETL/ELT processes to ingest, transform and curate data from internal and external systems. Shape ...

junior engineers and progress into technical architecture or leadership roles. Key Responsibilities Design, develop and maintain data pipelines using Azure Data Factory and Azure Databricks . Build data models and analytics solutions using Synapse Analytics and Azure Data Lake Storage . Develop and optimise ETL/ELT processes. Work directly … technical best practices. About You You'll have: Strong experience with Microsoft Azure Data Engineering . Hands-on expertise with Azure Data Factory, Databricks, Synapse Analytics and Data Lake Storage . Development experience in Python, Scala or SQL . Knowledge of data modelling and analytics solutions. Excellent communication skills ...

reporting and analytics Experience with Microsoft Fabric or a clear understanding of Fabric architecture Excellent stakeholder management and communication skills Highly Desirable: Microsoft Purview Databricks Financial modelling and financial reporting data structures Data catalogue implementation and metadata management Utilities, Energy or Financial Services experience Technical Environment Microsoft Fabric Databricks Microsoft ...

certification at Associate or Professional level is desirable Experience with streaming and event-driven data technologies is desirable Experience with Spark, Kafka or Databricks is desirable Experience in public sector, defence or other regulated environments is desirable Experience working within secure environments and understanding security and assurance requirements is desirable … Environments Security Assurance Machine Learning AI Workloads Tools & Technologies AWS S3 AWS Glue AWS Lambda AWS Athena AWS Redshift AWS EMR Terraform Spark Kafka Databricks #J-18808-Ljbffr ...

zones (cleansed, conformed business layers) while securely handling identifiable data. Scalable Data Processing: Develop, tune, and monitor large-scale batch processing pipelines using Azure Databricks (Spark-based processing) and PySpark. Orchestration & Workflow: Build automated data workflows using Microsoft Fabric Data Factory and Azure Data Factory to move data efficiently across … practical exposure to the Microsoft Fabric ecosystem (OneLake, Data Factory, Fabric Lakehouse). Big Data Processing: Deep technical expertise with Apache Spark/Azure Databricks for distributed compute, memory optimization, and Delta Lake formats. Data Engineering Languages: Advanced proficiency in SQL (T-SQL, SparkSQL) and Python (PySpark). Security & Compliance ...

Python, Java, and R Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data Science techniques and methodologies. Azure Datalake, Databricks, Python (Azure Reference architecture). Excellent problem-solving skills and ability to work in a team environment. Thorough and proven understanding of the principles of data … Python, Java, and R Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data Science techniques and methodologies. Azure Datalake, Databricks, Python (Azure Reference architecture). Excellent problem-solving skills and ability to work in a team environment. Thorough and proven understanding of the principles of data ...

would be highly beneficial: Public sector, government, healthcare or other regulated industry experience. Modern data warehouse and lakehouse platforms such as Amazon Redshift, Snowflake, Databricks, Google BigQuery or Azure Synapse. Strong SQL expertise and proficiency in Python or Java. Infrastructure as Code technologies including Terraform and CloudFormation. MLOps frameworks … platform engineering. CI/CD tooling and modern engineering practices. Cloud architecture certifications with a data, analytics or AI specialism. Certifications within Snowflake, Databricks, Redshift or similar platforms. Experience using AI-assisted engineering tools such as GitHub Copilot, Claude Code or equivalent. This position is ideally suited to someone ...

invoice validation/cost reconciliation/supplier portfolio management. Design, develop, and maintain robust and scalable data pipelines using Azure Data Factory, Azure Databricks, and other relevant tools. Analysis: Automate routine analysis to drive reporting delivering rich business intelligence. Reporting: Support the Energy Data Analyst to migrate complex models within … related field; a master's degree is a plus. Proven experience in data engineering and analytics, with expertise in Power BI, dbt, Databricks, and Azure. Proficiency in SQL, Python, and data manipulation libraries and frameworks. Strong problem-solving skills and analytical thinking. Excellent communication skills with the ability to collaborate ...

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 ...

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 ...

system boundaries. Partner with Data & Analytics teams to enable ERP data consumption through governed pipelines to platforms such as Azure Data Lake, Fabric and Databricks, using incremental/CDC patterns where appropriate. Protect master data integrity and support consistent cross-country data definitions while recognising legitimate local statutory and operational … Apps, Power Automate and governance of ERP-adjacent low-code solutions. Familiarity with Azure data tooling and modern analytics platforms including Data Factory, Fabric, Databricks and lakehouse concepts. ITIL/Agile delivery experience, service transition and formal change/CAB participation. Relevant Microsoft Dynamics 365, Azure or Power Platform certifications. ...

hands-on architect. Cloud & Platform Mastery: Expertise in overseeing enterprise-scale migrations, data warehousing, and analytics workloads across major cloud platforms (AWS, Azure, GCP, Databricks, Snowflake). Data Governance & Compliance: Robust understanding of data security, lineage, privacy (GDPR, CCPA), and financial sector regulatory frameworks (BCBS 239, DORA, Basel standards) governing … Alignment: Bridge the gap between C-suite strategy and engineering pods. Interrogate data architecture decisions, oversee cloud platform deployments (AWS/Azure/GCP, Databricks, Snowflake), and ensure technical solutions scale reliably and securely. Pre-Sales & Data Solutioning: Lead technical pre-sales engagements, architecting Statements of Work (SOWs) and solution ...

insights to our clients and help them to understand the risks and key drivers for their business using software such as Python, R, Azure, Databricks/other ML services, SQL, Tableau and Power BI. Development and delivery of new and innovative data science and machine learning tools and solutions … best practices. E.g. test-driven development, smart data structure and algorithm selection. Experience in using cloud environment (e.g. Azure, AWS). Experience using Azure Databricks, Azure MLflow, Azure ML services and/or other ML services. Experience using Excel, SQL, Power BI, Tableau. Experience using Docker and Kubernetes. Experience working ...

type: Permanent/Full-time Sector and subsector: IT | Data Engineer Salary: Competitive salary Platform Architecture & Engineering responsibilities: Design and implement scalable Databricks Lakehouse platforms on AWS and/or Azure aligned to client requirements Architect end-to-end data platforms including ingestion, storage (Delta Lake), processing, and consumption layers … data governance (Unity Catalog), and access controls Define environment strategies (dev/test/prod), CI/CD pipelines, and release processes for Databricks deployments Implement monitoring, logging, cost optimisation, and performance tuning across the platform Design and implement data pipelines using Delta Live Tables, Auto Loader, and Databricks Workflows ...

Cushman & Wakefield in London is hiring a Senior Data Engineer to lead the data transformation across EMEA/APAC. You will work on Databricks-based Lakehouse, design data models, and build agentic AI workflows that scale. The role emphasizes hands-on development, production troubleshooting, and collaboration with analysts and engineers … raise data quality. The ideal candidate has 6+ years in data engineering, strong SQL, Python/PySpark, and experience with Databricks and Azure, with a passion #J-18808-Ljbffr ...

architectures and take ownership from data foundations through to AI‐driven outcomes. You will work within the Data Platforms team, at the forefront of Databricks Lakehouse, Azure AI, and emerging agentic frameworks, helping clients modernise and transform their data and AI capabilities. Please Note Security Clearence: To be successfully appointed … about your citizenship in the application process. The Focus Of Your Role You will shape next‐generation data and AI platforms by combining deep Databricks expertise with modern engineering practices. Using tools such as VS Code and AI‐assisted development, you will rapidly design, build, and scale enterprise solutions while ...

databases Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3 years applied experience. Good working knowledge of AWS, Databricks, and Python. Experience across the data lifecycle. Advanced at SQL, including joins and aggregations. Working understanding of NoSQL databases. Significant experience with statistical data analysis ...

semantic relationships; and methodologies for validation and processing of data against contracts. Enablement: Establish a stable data serving layer for Grafana and Analytics (via Databricks/MLflow), unblocking the Data Science team. Mentorship: Upskill the existing team in good practices (dbt, git workflows, SQL optimisation, data modelling). Experience & Background … missing data, spiky load, variable schemas, etc.) would be beneficial. Skills Advanced Data Engineering: Proven experience building data platforms on Azure. You know Databricks inside out – not just how to write a notebook, but how to architect a Lakehouse, manage clusters, and optimise costs. Data Modelling Proficiency: You understand that ...