101 to 125 of 1,313 Databricks Jobs in the UK

implementing complex data-matching, reconciliation, and entity-resolution solutions across multiple data sources Distributed computing for data intensive work such as Spark and Databricks Cloud platforms including AWS, Azure and GCP Orchestration tools like Airflow Modern DevOps practices including version control, CI/CD, and infrastructure as code using Terraform ...

implementing complex data-matching, reconciliation, and entity-resolution solutions across multiple data sources Distributed computing for data intensive work such as Spark and Databricks Cloud platforms including AWS, Azure and GCP Orchestration tools like Airflow Modern DevOps practices including version control, CI/CD, and infrastructure as code using Terraform ...

with front‐end web technologies and frameworks such as React and Next.js. Experience with nextgen datawarehouse/data analytics platforms such as Snowflake or Databricks Your First 6 Months You can expect to quickly become involved in meaningful production work, including: 1. AWS Cloud Migration Support key elements ...

have Programming: Proficiency in Python, Java, Scala, or similar languages for data processing. Big Data Technologies: Hands-on experience with tools such as Databricks, Apache Spark, and Hadoop. Cloud Platforms: Familiarity with AWS, Azure, GCP, or other cloud ecosystems for data engineering tasks. Database Management: Expertise in relational databases (e.g. ...

analysts, security officers, and legal advisors to ensure holistic solutions Your areas of knowledge and expertise Proven experience designing and implementing data lakehouse architectures (Databricks, Delta Lake, Apache Flink, or similar technologies) Strong, hands-on AWS cloud experience including services such as S3, Glue, Lake Formation, Athena, and Redshift Demonstrated ...

Technical Skills Expertise in data modeling tools and techniques (e.g., ER/Studio, Erwin). Strong SQL and database proficiency (SQL Server, Oracle, Snowflake, Databricks). Experience with data integration (ETL/ELT, APIs). Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka ...

enterprise tax technology (for example Alteryx, the Microsoft Power Platform or Microsoft Fabric). Recognised cloud, data or AI certifications (for example Azure, AWS, Databricks or a generative-AI credential), or a track record of proposition and business development. EY | Building a better working world EY is building a better ...

processes. Technical Skills Programming: Proficiency in Python, Java, Scala, or similar languages. Big Data Technologies: Hands-on experience with big data tools e.g. (Databricks, Apache Spark, Hadoop). Cloud Platforms: Familiarity with AWS, Azure, GCP, or other cloud ecosystems for data engineering tasks. Expertise in relational databases (e.g. postgres ...

background in SQL and Python, and fluency with at least one major cloud provider (AWS or Azure) and modern data platforms (e.g. Snowflake, Databricks). System‐level judgement on how data architecture shapes AI outcomes: designing governed sources for RAG, structuring data for retrieval and orchestration, and deciding where structured ...

Customer Data Platforms (CDP) . Experience with event-driven and streaming technologies (e.g. Kafka). Experience with cloud data platforms such as Snowflake or Databricks . Degree in Computer Science, Engineering or a related discipline, with an understanding of RS Group's business and industry. ...

particular technologies you’ve worked with. Depending on the project, our data work might involve tools and platforms such as Python, SQL, Snowflake, Databricks, Redshift, Airflow, Dagster, Terraform, Azure Data Factory or AWS Glue. Experience with every one of these isn’t expected but adaptability and willingness ...

system integration using modern frameworks (Spark, dbt, LangChain). A strong foundation in system design, data storage, and reliability with commonly used data platforms (Databricks, Snowflake, BigQuery, PSQL, etc.) and data engineering tools (e.g., Pandas, Spark, dbt, etc.). Hands-on experience with MLOps/LLMOps principles, including CI/ ...

similar role with a particular focus on design and delivery of analytical data models Experience with Azure Cloud Services, particularly Azure Data Factory, Databricks, SQL server/SQL databases Experience working with version control and CI/CD pipelines (e.g. Azure DevOps, Git) Excellent programming skills in both ...

similar role with a particular focus on design and delivery of analytical data models Experience with Azure Cloud Services, particularly Azure Data Factory, Databricks, SQL server/SQL databases Experience working with version control and CI/CD pipelines (e.g. Azure DevOps, Git) Excellent programming skills in both ...

experience in one or more of the following areas:Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analyticsCloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCPAI Technologies – GenAI frameworks, Agentic AI, vector databases, semantic search, knowledge retrieval and LLM application developmentData & Visualisation – Power BI, Tableau, Looker ...

days in the office) Employment Type: Permanent to start ASAP Summary of the role: We’re looking for a highly skilled Azure Databricks Data Engineer to design, develop and deliver cloud-based data integration and analytics solutions within our Retail portfolio . You’ll work across data engineering, modelling … scalable pipelines, optimising performance and ensuring best practices in data quality and governance. This is a hands-on technical role requiring strong Azure and Databricks experience, coupled with a solid understanding of Retail data and business processes . As part of this role, you’ll have the opportunity to work ...

15+ years Joining: Immediate Required Skills & Experience Must Have 8+ years of data architecture experience with at least 3 years hands-on with Azure Databricks in production environments Proven experience designing and implementing medallion architecture (Bronze/Silver/Gold) using Delta Lake on Azure Databricks Strong hands-on experience … schema design, access controls, and governance policies Experience configuring Azure Data Lake Storage Gen2 — containers, access control lists, lifecycle policies, and integration with Databricks Hands-on experience with Microsoft Fabric — specifically Mirrored Azure Databricks Unity Catalog and Power BI connectivity to Databricks SQL Warehouses Experience with enterprise data source integration ...

15+ years Joining: Immediate Required Skills & Experience Must Have 8+ years of data architecture experience with at least 3 years hands-on with Azure Databricks in production environments Proven experience designing and implementing medallion architecture (Bronze/Silver/Gold) using Delta Lake on Azure Databricks Strong hands-on experience … schema design, access controls, and governance policies Experience configuring Azure Data Lake Storage Gen2 — containers, access control lists, lifecycle policies, and integration with Databricks Hands-on experience with Microsoft Fabric — specifically Mirrored Azure Databricks Unity Catalog and Power BI connectivity to Databricks SQL Warehouses Experience with enterprise data source integration ...

grow the pre‐sales team for the Qatar & Africa markets Build a motivated collaborative culture within a hyper‐growth team to embody and promote Databricks customer‐obsessed, teamwork and diverse culture Support increased return on investment of SA involvement in sales cycles Ensure a solution and value‐based selling within … executives to build and strengthen strategic partnerships Ensure close alignment with partners and internal services to secure implementation strategies within accounts Continue to build Databricks' brand as a member of the Leadership team in partnership with Marketing and Sales teams across the region What we look for: Experience managing ...

Designing scalable reporting solutions using best-practice methodologies such as Kimball, Star Schema, or Medallion Architecture Azure DevOps or CI/CD processes Azure Databricks Databricks Genie or AI-assisted analytics tools Microsoft Fabric Agile delivery environments and sprint-based working What They Offer Salary up to £60,000 Fixed ...

/data pipelines Knowledge of data modelling and database design Strong analytical and problem-solving skills Nice to have: Azure (Data Factory, Synapse, Databricks or similar) Power BI Git or Azure DevOps Experience working with cloud-based data platforms Exposure to retail, eCommerce or customer data This ...

IAM. Advanced SQL development skills. Strong experience designing and developing ETL/ELT pipelines. Experience working with large-scale and distributed data-processing environments. Databricks and/or Snowflake. #J-18808-Ljbffr ...

Data & Analytics or Business Intelligence. Knowledge of data governance, modelling and CI/CD practices. Excellent stakeholder engagement and communication skills. Exposure to Python, Databricks, Power BI or Terraform would be advantageous. What's on Offer? 9-day working fortnight Hybrid working up to 2 days from home 28 days ...

e.g. dimensional modelling, data vault, medallion architecture) and strong SQL skills Experience with cloud data platforms, particularly AWS, as well as platforms such as Databricks and Snowflake; exposure to Azure or GCP is beneficial A good understanding of modern data engineering patterns including ETL/ELT, data lakes, lakehouse ...

that business users can effectively harness data insights to drive strategic decision making. Our data strategy is centred around an enterprise Lakehouse platform on Databricks, avoiding fragmented, ungoverned silos on legacy technologies that hamper creativity and scalability. We are building a governed, interoperable data estate that enables self-service … defined support responsibilities. Ensure solutions are secure, scalable, maintainable, and aligned with organisational standards and governance requirements. Design, build, and optimise data pipelines on Databricks using PySpark and Spark SQL, applying Delta Lake and a medallion/Lakehouse architecture. Implement data validation and reconciliation checks, and automated testing across pipelines ...