1 to 25 of 635 Databricks Jobs in the UK excluding London

seeking a Senior Databricks Architect to design, implement, and optimize enterprise-scale data platforms using the Databricks Lakehouse Platform . The ideal candidate will have deep expertise in Databricks architecture, Apache Spark, Delta Lake, data engineering, cloud platforms, and enterprise data solutions. Key Responsibilities Design and architect Databricks Lakehouse solutions … large-scaleenterprise data platforms. Lead end-to-end Databricks implementation, including architecture, development, deployment, and optimization. Define Databricks workspace architecture, clusterstrategies, security models, and operational standards. Design and developscalable data pipelinesusing Databricks, Apache Spark, PySpark, SQL, andDelta Lake . Implement data ingestionframeworks supporting batchand real-timedata processing. Design Delta Lake ...

# Azure Databricks Engineer Apply now## **Internal Role Information**Grade – C1 Location -Anywhere in the UK## **About the job you're considering**We work closely with clients and partners to take full advantage of the opportunities of technology. We mobilize expert teams that create custom solutions from existing and emerging … local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti is currently looking for a Azure Databricks Engineer to join our ACT Practice, ensuring alignment with business goals and driving impactful value creation for our clients.Hybrid working: The places that you work from ...

complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team Develop and execute competitive strategies for your customers, positioning Databricks … enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms Expert-level Databricks Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning ability) Declared technical specialisation with recognised depth — e.g., real-time architectures, ML/ ...

complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team Develop and execute competitive strategies for your customers, positioning Databricks … enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms Expert-level Databricks Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning ability) Declared technical specialisation with recognised depth — e.g., real-time architectures, ML/ ...

organisations. Strong commercial awareness with a focus on business outcomes. Technical Expertise We would expect experience across many of the following: Microsoft Fabric Azure Databricks Azure Synapse Analytics Azure Data Factory Azure Data Services Power BI SQL Python Lakehouse Architecture Data Governance Data Modelling Cloud Data Platforms AI & Machine Learning ...

engineering, ideally in a SaaS, marketplace, fintech, payments, e-commerce or multi-region B2B2C environment. Strong Microsoft Fabric capability, or deep Azure Synapse/Databricks experience with clear ability to specialise quickly in Fabric. Expert SQL/T-SQL plus strong Python or PySpark, with a track record of building ...

role Design, develop, and maintain scalable data pipelines and integration solutions on Azure. Build and optimize ETL/ELT processes using Azure Data Factory, Databricks, and Synapse Analytics. Manage and enhance data lakes, data warehouses, and data storage solutions. Develop and optimize SQL queries, data models, and database objects ...

based data platforms. Expertise with one or more of the following technologies: AWS (Redshift, Glue, S3, Bedrock) Microsoft Azure (Synapse, Data Factory, Azure SQL) Databricks (Delta Lake, ETL pipelines, ML workloads) Snowflake Strong data modelling experience across enterprise-scale environments. Experience building modern AI-enabled data architectures. Knowledge of Retrieval ...

Engineering and Analytics Engineering Building data pipelines and ETL/ELT workflows. Working with at least one cloud data platform (e.g. Azure, Microsoft Fabric, Databricks, Snowflake). Designing data models for reporting, analytics or reconciliation. Implementing data quality checks and technical documentation; exposure to version control and CI/ ...

Engineering and Analytics Engineering Building data pipelines and ETL/ELT workflows. Working with at least one cloud data platform (e.g., Azure, Microsoft Fabric, Databricks, Snowflake). Designing data models for reporting, analytics or reconciliation. Implementing data quality checks and technical documentation; exposure to version control and CI/ ...

demand ambitious innovation and thought leadership. The Role Design, develop, and maintain Azure-based data pipelines and ETL solutions. Work with Azure Data Factory, Databricks, Synapse, and Data Lake to support data integration, migration, and analytics requirements. Collaborate with stakeholders to understand business needs, troubleshoot data issues, and ensure secure ...

Strong technical knowledge of SQL and Python . Experience with modern data technologies and tooling such as Microsoft Fabric, Power BI, Snowflake, dbt, Airflow, Databricks or Looker . Experience designing data pipelines, ETL/ELT processes and modern data models. Practical understanding of modern data architecture approaches, including Medallion architecture. ...

best practices & IaC Experience with data modelling, data governance, data quality, and data security. Experience with a unified data processing & analytics platform (e.g Databricks) What is in it for you 25 days holiday, increasing with service (up to 28) Option to buy up to 10 extra days + 4 flexible ...

want to help solve the public sector’s toughest challenges with Data and AI? That is what we do every day at Databricks. Databricks is looking for a senior-level Enterprise Account Executive to own and grow our Public Sector business across the Republic of Ireland and Scotland. You will … sustainable growth. Working closely with government stakeholders, internal teams, cloud providers, and strategic partners, you will deepen consumption in existing accounts and extend Databricks’ footprint across the Republic of Ireland. The impact you will have Build and execute a strategic, Ireland-wide go-to-market plan that prioritises government agendas ...

mentoring experience Technologies & Experience Desired: Git and JIRA software and backlog management tools Power BI, Tableau, Qlik or Looker Matillion, Talend, Pentaho, SSIS Databricks, DBT, Fivetran Snowflake, Microsoft SQL Server, Oracle DB or Redshift Building CI/CD pipelines and IaC Analytical skills including the ability to apply a range ...

data mining, business intelligence, big data, data governance, data quality, and data cleansing. Experience with Microsoft Azure (a plus): Azure SQL Database, Analysis Services, Databricks, Data Lake, Logic Apps and Data Factory. Understanding of big data technologies (Hadoop, Spark). Able to create rich visualisations that appropriately represent the underlying ...

Monitoring and logging. Release and configuration management. Production support and incident troubleshooting. Python or another scripting language. AWS certification. Terraform. Apache Airflow/MWAA. Databricks or Spark. Kafka/Kinesis. dbt. Experience working in Agile/Scrum environments. Experience 4+ years of experience in Data Engineering, DevOps, DataOps ...

into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps ...

solutions and operations, enabling ethical, scalable, and domain-driven AI adoption. We partner with industry leaders including Oracle, Salesforce, Microsoft, AWS, Snowflake, and Databricks, delivering outcomes across sectors such as Healthcare, Financial Services, Retail, Manufacturing, Higher Education, and the Public Sector.Guided by our core values of Trust, Value, and Velocity ...

solutions and operations, enabling ethical, scalable, and domain-driven AI adoption. We partner with industry leaders including Oracle, Salesforce, Microsoft, AWS, Snowflake, and Databricks, delivering outcomes across sectors such as Healthcare, Financial Services, Retail, Manufacturing, Higher Education, and the Public Sector.Guided by our core values of Trust, Value, and Velocity ...

Infrastructure-as-Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years experience working on data engineering ...

strong track record of delivering modern cloud-based data platforms and possess expertise across data engineering, architecture, governance and analytics. Experience with Microsoft Azure, Databricks, SQL and Python is essential, alongside a strong understanding of data warehousing, data modelling and information lifecycle management. You will be equally comfortable discussing strategy ...

capability (semantic modelling, DAX, dataflows) and data-visualisation expertise.Strong SQL and data modelling skills, building scalable and performant solutions.Experience with modern data platforms (Databricks lakehouse, Azure cloud data ecosystem).Ability to build trusted, well-governed datasets with strong data-quality and validation practices.Proactive delivery mindset, managing priorities, dependencies and stakeholder ...

semantic modelling, DAX, dataflows) and data-visualisation expertise. Strong SQL and data modelling skills, building scalable and performant solutions. Experience with modern data platforms (Databricks lakehouse, Azure cloud data ecosystem).Ability to build trusted, well-governed datasets with strong data-quality and validation practices. Proactive delivery mindset, managing priorities, dependencies ...

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 ...