1 to 25 of 686 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 ...

managed private endpoints, Azure Key Vault and gateway infrastructure. Fabric REST APIs, PowerShell/Azure CLI, Infrastructure as Code and deployment automation. Experience with Databricks and/or Snowflake. THE OPPORTUNITY You will join a growing Data & AI Practice delivering modern Data, AI, Analytics and Cloud solutions across the public ...

managed private endpoints, Azure Key Vault and gateway infrastructure. Fabric REST APIs, PowerShell/Azure CLI, Infrastructure as Code and deployment automation. Experience with Databricks and/or Snowflake. THE OPPORTUNITY You will join a growing Data & AI Practice delivering modern Data, AI, Analytics and Cloud solutions across the public ...

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 ...

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 ...

with teams across borders. A passion for building high-performing teams and fostering a culture of innovation and continuous learning. Desirable Criteria Experience with Databricks for large-scale data processing. Experience with advanced data visualisation tools (e.g. Tableau, Power BI) with a focus on insightful storytelling. Knowledge of Microsoft ...

SQLExperience working with AWS and its data and AI/ML services such as SageMakerExperience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake)Experience building data platforms such as Data Lakes, Lakehouses or Data Meshes that underpin analytics and AI workloadsUnderstanding of Data Security, Data Governance ...

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. ...

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 ...

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 ...

supporting enterprise data platforms, data lakes and data pipelines. Advanced SQL expertise. Hands-on experience with Azure technologies such as: Azure Data Factory, Azure Databricks, Synapse Analytics, Purview Experience with CI/CD, DevOps practices and automated testing. Strong understanding of data governance, metadata management and data quality principles. Experience ...

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 ...

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 ...

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/ ...

development processes.Contribute to the broader data architecture community through knowledge sharing, presentations.What you'll bring to the role:Data Engineering experience with Snowflake and Databricks native solutions.Experience on Snowflake Cortex is must.Proficiency in programming skills in Python.Experience with data processing frameworks like Apache Spark or Hadoop.Knowledge of database systems ...

translate business needs into technical solutions. A collaborative mindset with a passion for coaching others, continuous improvement and modern data engineering practices. Experience with Databricks or other unified data processing and analytics platforms. Experience working with machine learning, forecasting or advanced analytics environments. Experience supporting real-time or event-driven ...

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 ...

Testing, and DevOps practices. Excellent problem-solving skills and ability to work independently. Strong stakeholder management and communication skills. Nice to Have Experience with Databricks, Delta Lake, Unity Catalog, and migration projects. Knowledge of AI/ML and MLOps frameworks. Experience with streaming technologies such as Kafka or Kinesis. Ideal ...

practices across the wider data community Skills and experience you need as Analytical Engineer Strong hands-on experience with modern cloud data platforms (e.g. Databricks or Snowflake), ideally within AWS environments Advanced programming and data engineering skills in Python, PySpark and SQL, with a solid understanding of ETL pipelines ...

with SQL, Data modeling, optimizing and structuring queries to be used across disparate datasets. 5+ years of experience designing and building data pipelines (e.g., Databricks, Snowflake, Glue, Azure Data Factory, dbt, etc.). 3+ years of experience deploying code using a source control product like GitLab or GitHub. Proven experience ...

pipelines Strong understanding of data modelling and modern data architecture principles Experience working with cloud platforms such as Azure, AWS or GCP Knowledge of Databricks, Azure Data Factory, Microsoft Fabric or similar modern data platforms Experience with Git, CI/CD and DevOps best practices Strong communication skills with ...

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 ...

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 ...

equivalent experience in computer science engineering, or a related field.Strong programming skills in languages such as Python, Java, or Scala.Hands-on experience with Databricks, SQL, and data modelling. Proficiency with big data tools (e.g., Apache Spark, Apache Kafka, Presto, etc.) and cloud services (e.g., Azure, AWS, GCP).Familiarity with data ...