251 to 275 of 2,104 Databricks Jobs in the UK

event-driven data architectures and Real Time data processing. Key Technologies Azure | Azure Data Factory | Azure Synapse Analytics | Azure Data Lake | Terraform | GitLab | Databricks | Kafka | Kafka Connect Diversity & Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation and better outcomes. We are committed to fostering an inclusive environment where ...

building data pipelines. Knowledge of Python for data analysis and automation. Experience building automated reporting solutions or data workflows. Hands-on experience using Databricks for analytics and reporting workflows ...

experience designing and evolving enterprise-scale data platforms Deep expertise in cloud-based data and analytics services on the Microsoft Azure platform (e.g. Azure Databricks, Azure ML) Experience shaping proofs of concept and evolving designs into production solutions Strong stakeholder engagement skills, including engagement with senior stakeholders Experience leading ...

building data pipelines. Knowledge of Python for data analysis and automation. Experience building automated reporting solutions or data workflows. Hands-on experience using Databricks for analytics and reporting workflows #J-18808-Ljbffr ...

experience designing and evolving enterprise-scale data platforms Deep expertise in cloud-based data and analytics services on the Microsoft Azure platform (e.g. Azure Databricks, Azure ML) Experience shaping proofs of concept and evolving designs into production solutions Strong stakeholder engagement skills, including engagement with senior stakeholders Experience leading ...

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 ...

/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions). Desirable Skills Working experience in Data Lakehouse environments such as Databricks, Snowflake and/or Microsoft Fabric. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted/eDV security clearance. Location ...

fast-paced environment Focus on delivering secure and scalable solutions Preferred qualifications, capabilities, and skills Experience with modern data platforms such as Databricks or Snowflake Deep hands-on experience with Spark/PySpark and other big data processing technologies Expertise in open-source table formats and catalog services such ...

manage multiple priorities. Willingness to learn new systems, tools, and processes. Desirable Experience working with SAP. Familiarity with version control tools. Experience with Azure Databricks and/or Azure Data Factory for building and managing data pipelines. What Youll get in Return Starting salary £55,125 rising ...

fast-paced environment Focus on delivering secure and scalable solutions Preferred qualifications, capabilities, and skills Experience with modern data platforms such as Databricks or Snowflake Deep hands-on experience with Spark/PySpark and other big data processing technologies Expertise in open-source table formats and catalog services such ...

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 ...

analysis. Exposure to Six Sigma, Design of Experiments (DOE), Statistical Process Control (SPC) or robust engineering methods. Experience using Siemens Insights Hub, Siemens Xcelerator, Databricks, Power BI or equivalent industrial analytics platforms. Experience applying machine learning or AI techniques within manufacturing or industrial environments. Personal attributes: Be customer focused ...

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 ...

similar analytical languages. Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake. Communicate complex concepts and hypothesis to a non-technical audience through digital storytelling. Requirements A minimum of 1 year ...

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 ...

similar analytical languages. Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake. Communicate complex concepts and hypothesis to a non-technical audience through digital storytelling. Requirements A minimum of 1 year ...

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 ...

/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 ...

similar value-driven sales frameworks across a team. Deep expertise across cloud computing platforms (AWS, Azure, GCP) and enterprise Cloud Data Platforms (Snowflake, Databricks). Deep domain knowledge in relational databases (PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL environments (MongoDB, Cassandra, DynamoDB). Hands-on command of integration architecture, including ...

DevOps Engineers, and Solution Architects who help our clients deliver and operate cloud data platforms on AWS, Azure and GCP, including technologies such as Databricks and Snowflake. As a DataOps Engineer, you will partner closely with engineering and delivery teams to standardise ways of working, improve data application reliability ...