1 to 25 of 281 Permanent Databricks Jobs in the South East

CDO level and translating requirements 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, and CI/CD pipelines. Data More ❯

do it? Proven experience working as a data engineer or software engineer working on Cloud data platforms, especially Azure. Strong hands-on experience with Azure Data Factory and Azure Databricks (or Microsoft Fabric). Strong problem-solving skills and the ability to logically analyse complex requirements, processes, and systems to deliver solutions. Solid understanding of data modelling, ETL/ELT More ❯

do it? Proven experience working as a data engineer or software engineer working on Cloud data platforms, especially Azure. Strong hands-on experience with Azure Data Factory and Azure Databricks (or Microsoft Fabric). Strong problem-solving skills and the ability to logically analyse complex requirements, processes, and systems to deliver solutions. Solid understanding of data modelling, ETL/ELT More ❯

ETL/ELT, and data pipeline design. Hands-on experience with data lakehouse, warehouse, and streaming data architectures. Working knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse, Snowflake, Redshift). Experience designing data platforms leveraging PaaS and SaaS solutions. Solid understanding of information governance, metadata management, and master data management principles. Experience leading data design across More ❯

ETL/ELT, and data pipeline design. Hands-on experience with data lakehouse, warehouse, and streaming data architectures. Working knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse, Snowflake, Redshift). Experience designing data platforms leveraging PaaS and SaaS solutions. Solid understanding of information governance, metadata management, and master data management principles. Experience leading data design across More ❯

ETL/ELT, and data pipeline design. Hands-on experience with data lakehouse, warehouse, and streaming data architectures. Working knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse, Snowflake, Redshift). Experience designing data platforms leveraging PaaS and SaaS solutions. Solid understanding of information governance, metadata management, and master data management principles. Experience leading data design across More ❯

modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs.Experience with infrastructure as code, proficiency using tools such as Terraform More ❯

engineering teams to resolve them. Strong analytical mindset and attention to detail. Clear, concise communicator able to present technical findings simply. Desirable: Experience testing in big data environments using Databricks, Snowflake, or Redshift. Knowledge of data governance and lineage tracking tools. Exposure to data performance and load testing. Experience in an Agile delivery environment. More ❯

modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs.Experience with infrastructure as code, proficiency using tools such as Terraform More ❯

data requirements. Attention to detail and a strong commitment to data integrity. Excellent problem-solving skills and ability to work in a fast-paced environment. Preferred Qualifications Experience with Databricks or Ray. Familiarity with dbt and Airflow. Experience with data quality frameworks. Understanding of ML requirements and experience working with ML teams. Experience in robotics or a related field. Familiarity More ❯

data requirements. Attention to detail and a strong commitment to data integrity. Excellent problem-solving skills and ability to work in a fast-paced environment. Preferred Qualifications Experience with Databricks or Ray. Familiarity with dbt and Airflow. Experience with data quality frameworks. Understanding of ML requirements and experience working with ML teams. Experience in robotics or a related field. Familiarity More ❯

data requirements. Attention to detail and a strong commitment to data integrity. Excellent problem-solving skills and ability to work in a fast-paced environment. Preferred Qualifications Experience with Databricks or Ray. Familiarity with dbt and Airflow. Experience with data quality frameworks. Understanding of ML requirements and experience working with ML teams. Experience in robotics or a related field. Familiarity More ❯

design and architecting solutions. • Hand on experience in technology consulting, enterprise and solutions architecture and architectural frameworks, Data Modelling, Experience on ERWIN Modelling. • Hands on experience in ADF, Azure Databricks, Azure Synapse, Spark, PySpark, Python/Scala, SQL. • Hands on Experience in Designing and building Data Lake from Multiple Source systems/Data Providers. • Experience on Data Modelling, architecture, implementation More ❯

design and architecting solutions. • Hand on experience in technology consulting, enterprise and solutions architecture and architectural frameworks, Data Modelling, Experience on ERWIN Modelling. • Hands on experience in ADF, Azure Databricks, Azure Synapse, Spark, PySpark, Python/Scala, SQL. • Hands on Experience in Designing and building Data Lake from Multiple Source systems/Data Providers. • Experience on Data Modelling, architecture, implementation More ❯

design and architecting solutions. • Hand on experience in technology consulting, enterprise and solutions architecture and architectural frameworks, Data Modelling, Experience on ERWIN Modelling. • Hands on experience in ADF, Azure Databricks, Azure Synapse, Spark, PySpark, Python/Scala, SQL. • Hands on Experience in Designing and building Data Lake from Multiple Source systems/Data Providers. • Experience on Data Modelling, architecture, implementation More ❯

7+ years of experience in technology consulting, enterprise and solutions architecture and architectural frameworks, Data Modelling, Experience on ERWIN Modelling. 7+ years of hands-on experience in ADF, Azure Databricks, Azure Synapse, Spark, PySpark, Python/Scala, SQL. Hands on Experience in Designing and building Data Lake from Multiple Source systems/Data Providers. Experience on Data Modelling, architecture, implementation More ❯

7+ years of experience in technology consulting, enterprise and solutions architecture and architectural frameworks, Data Modelling, Experience on ERWIN Modelling. 7+ years of hands-on experience in ADF, Azure Databricks, Azure Synapse, Spark, PySpark, Python/Scala, SQL. Hands on Experience in Designing and building Data Lake from Multiple Source systems/Data Providers. Experience on Data Modelling, architecture, implementation More ❯

7+ years of experience in technology consulting, enterprise and solutions architecture and architectural frameworks, Data Modelling, Experience on ERWIN Modelling. 7+ years of hands-on experience in ADF, Azure Databricks, Azure Synapse, Spark, PySpark, Python/Scala, SQL. Hands on Experience in Designing and building Data Lake from Multiple Source systems/Data Providers. Experience on Data Modelling, architecture, implementation More ❯

Skilled in team collaboration and exhibits good interpersonal skills. Able to prioritise, multi-task, and deliver at pace with an iterative mindset. Experience with modern data platforms such as Databricks or Snowflake is advantageous; LLM API experience is a bonus. What’s in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus scheme that recognises More ❯

develop a team of Data Engineers to deliver robust, scalable data solutions. Provide technical leadership across the Microsoft and Azure Data Platform (SQL Server, Power BI, Azure Data Factory, Databricks, Data Lake). Champion Data Governance , Data Quality , and Data Management best practices. Collaborate with business and technology teams to align data solutions with strategic goals. Oversee Agile delivery, CI More ❯

SQL . Understanding of distributed systems and Linux environments. Detail-oriented problem solver with a passion for learning. Excellent communication and teamwork skills. Desirable: Experience with AWS , Snowflake , or Databricks . Familiarity with RDBMS admin tasks (e.g. Postgres, Oracle). Exposure to C/C C# or Java . What’s on Offer Competitive salary + discretionary bonus 25 days More ❯

SQL . Understanding of distributed systems and Linux environments. Detail-oriented problem solver with a passion for learning. Excellent communication and teamwork skills. Desirable: Experience with AWS , Snowflake , or Databricks . Familiarity with RDBMS admin tasks (e.g. Postgres, Oracle). Exposure to C/C C# or Java . What’s on Offer Competitive salary + discretionary bonus 25 days More ❯

SQL . Understanding of distributed systems and Linux environments. Detail-oriented problem solver with a passion for learning. Excellent communication and teamwork skills. Desirable: Experience with AWS , Snowflake , or Databricks . Familiarity with RDBMS admin tasks (e.g. Postgres, Oracle). Exposure to C/C C# or Java . What’s on Offer Competitive salary + discretionary bonus 25 days More ❯

experience in leading client data engineering and integration projects for major clients Hands-on experience of designing and implementing Quantexa solutions for clients. Technical excellence in Scala, Python and Databricks Skills we’d love to see/Amazing Extras: Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/CD pipelines, including More ❯

experience in leading client data engineering and integration projects for major clients Hands-on experience of designing and implementing Quantexa solutions for clients. Technical excellence in Scala, Python and Databricks Skills we’d love to see/Amazing Extras: Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/CD pipelines, including More ❯