1 to 25 of 999 Remote Databricks Jobs in the UK

Senior Data Engineer - (Azure/Databricks) page is loaded Senior Data Engineer - (Azure/Databricks) Apply locations London - Scalpel time type Full time posted on Posted 15 Days Ago job requisition id REQ05851 This is your opportunity to join AXIS Capital - a trusted global provider of specialty lines insurance and … any other characteristic protected by law. Accommodation is available upon request for candidates taking part in the selection process. Senior Data Engineer (Azure/Databricks Job Family Grouping: Chief Underwriting Officer Job Family: Data & Analytics Location: London How does this role contribute to our collective success? The Data & Analytics department … Lakehouse architectures to ensure our data solutions are secure, efficient, and optimized. Key Responsibilities: Design and implement data solutions using Azure services, including Azure Databricks, ADF, and Data Lake Storage. Develop and maintain ETL/ELT pipelines to process structured and unstructured data from multiple sources. - Automate loads using Databricks More ❯

knowledge and best practices across the wider Professional Services team Own OKRs for revenue and utilization, with a focus on driving customer outcomes and Databricks consumption Raise awareness and be a thought leader in the market by speaking at Databricks and other key ML events Lead Databricks cultural values by … example and champion the Databricks brand What we look for: Extensive experience managing, hiring, and building a team of motivated data scientists/ML engineers, including establishing programs and processes Deep hands-on technical understanding of data science, ML, GenAI and the latest trends While managers do not directly deliver … learning, and driving business value through ML Company first focus and collaborative individuals - we work better when we work together. Preferred Experience working with Databricks and Apache Spark Preferred Experience working in a customer-facing role About Databricks Databricks is the data and AI company. More than 10,000 organizations More ❯

systems. Highly desired experience with Azure, particularly Lakehouse and Eventhouse architectures. Experience with relevant infrastructure and tools including NATS, Power BI, Apache Spark/Databricks, and PySpark. Hands-on experience with data warehousing methodologies and optimization libraries (e.g., OR-Tools). Experience with log analysis, forensic debugging, and system performance More ❯

and resources. Knowledge, skills and experience Essential: Cloud Platforms: Experience with Azure, AWS, or Google Cloud for data engineering. Cloud Data Tools: Expertise in Databricks, Snowflake, BigQuery, or Synapse Analytics. Programming & Scripting: Strong knowledge of Python, SQL, Spark, or similar. Data Modelling & Warehousing: Experience with cloud-based data architecture. CI More ❯

Knowledge, skills and experience Essential: Cloud Platforms: Demonstrable experience with Azure, AWS, or Google Cloud for data engineering. Cloud-Based Data Tools: Expertise in Databricks, Snowflake, BigQuery, or Synapse Analytics for scalable data solutions. Programming & Scripting: Strong knowledge of Python, SQL, Spark, or equivalent cloud technologies. Data Modelling & Warehousing: Experience More ❯

pipelines, managing data infrastructure, and supporting data products across various cloud environments, primarily Azure. Key Responsibilities: Develop end-to-end data pipelines using Python, Databricks, PySpark, and SQL. Integrate data from various sources including APIs, Excel, CSV, JSON, and databases. Manage data lakes, warehouses, and lakehouses within Azure cloud environments. More ❯

pipelines, managing data infrastructure, and supporting data products across various cloud environments, primarily Azure. Key Responsibilities: Develop end-to-end data pipelines using Python, Databricks, PySpark, and SQL. Integrate data from various sources including APIs, Excel, CSV, JSON, and databases. Manage data lakes, warehouses, and lakehouses within Azure cloud environments. More ❯

be based on your skills and experience — talk with your recruiter to learn more. Data Engineer - Leading Energy Company - London (Tech Stack: Data Engineer, Databricks, Python, PySpark, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) Company Overview: Join a dynamic team, a leading player in the energy sector, committed More ❯

Data Engineer - Leading Energy Company - London (Tech Stack: Data Engineer, Databricks, Python, PySpark, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) Company Overview: Join a dynamic team, a leading player in the energy sector, committed to innovation and sustainable solutions. Our client are seeking a talented Data Engineer to More ❯

Data Engineer - Leading Energy Company - London (Tech Stack: Data Engineer, Databricks, Python, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) Company Overview: Join a dynamic team, a leading player in the energy sector, committed to innovation and sustainable solutions.Our client are seeking a talented Data Engineer to help build More ❯

projects from requirements to implementation. Identify high-value AI scenarios (Machine Learning and Gen AI). Analyze data using tools like Microsoft Fabric, Azure Databricks, Azure Synapse, and Azure Machine Learning. Implement data pipelines and workflows with Azure ML Pipelines and Azure DevOps. Monitor ML solutions using Azure ML and More ❯

such as Looker or PowerBI. Excellent communication and stakeholder management skills. Google Cloud Professional certifications. Experience in alternative cloud data platforms such as Snowflake, Databricks, Azure, or AWS. Understanding of DevOps/DataOps practices, CI/CD pipelines, and monitoring tools. Academic background in Computer Science, Mathematics, or a related More ❯

Looker or PowerBI. Excellent communication and stakeholder management skills. Desirable Experience: Google Cloud Professional certifications. Experience in alternative cloud data platforms such as Snowflake, Databricks, Azure, or AWS. Understanding of DevOps/DataOps practices, CI/CD pipelines, and monitoring tools. Academic background in Computer Science, Mathematics, or a related More ❯

such as Looker or PowerBI. Excellent communication and stakeholder management skills. Google Cloud Professional certifications. Experience in alternative cloud data platforms such as Snowflake, Databricks, Azure, or AWS. Understanding of DevOps/DataOps practices, CI/CD pipelines, and monitoring tools. Academic background in Computer Science, Mathematics, or a related More ❯

such as Looker or PowerBI. Excellent communication and stakeholder management skills. Google Cloud Professional certifications. Experience in alternative cloud data platforms such as Snowflake, Databricks, Azure, or AWS. Understanding of DevOps/DataOps practices, CI/CD pipelines, and monitoring tools. Academic background in Computer Science, Mathematics, or a related More ❯

in tools like PowerBI. Experience & Knowledge: Extensive experience in end-to-end cloud data solutions, preferably in Azure. Experience with big data technologies like Databricks and/or Synapse Analytics using PySpark. Solution design experience across the data lifecycle. Proficiency with Azure services such as Data Factory, Azure Functions, ADLS More ❯

in tools like PowerBI. Experience & Knowledge: Extensive experience in end-to-end cloud data solutions, preferably in Azure. Experience with big data technologies like Databricks and/or Synapse Analytics using PySpark. Solution design experience across the data lifecycle. Proficiency with Azure services such as Data Factory, Azure Functions, ADLS More ❯

Ability to use wide variety of open-source technologies Knowledge and experience using at least one Data Platform Technology such as Quantexa, Palantir and DataBricks Knowledge of test automation frameworks and ability to automate testing within the pipeline To discuss this or wider Technology roles with our recruitment team, all More ❯

United Kingdom 4 days ago Glasgow, Scotland, United Kingdom 2 weeks ago Glasgow, Scotland, United Kingdom 1 day ago Software Engineer II- Python and Databricks Glasgow, Scotland, United Kingdom 2 weeks ago Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Glasgow, Scotland, United Kingdom 3 months ago Glasgow More ❯

Developing foundational coding skills in Python and SQL to work with and manipulate data Gaining hands-on experience with modern data platforms like Snowflake , Databricks , and BigQuery Exploring cloud services such as AWS , Azure , or Google Cloud Platform (GCP) and their associated tools (e.g., Glue, Lambda, BigQuery, etc.) Being introduced More ❯

to Python or any other object-oriented programming languages Experience with modern data stack tools and cloud-based data warehouses like MS Fabric, Snowflake, Databricks, Teradata or AWS Experience in designing and constructing effective reports and dashboards that transform data into actionable insights with Tableau or Power BI Proven ability More ❯

issues Strong analytical and problem-solving skills Strong teamwork, interpersonal and collaboration skills with colleagues and clients Experience with Cloud ETL tools such as Databricks/Snowflake, Spark and Kafka Experience using source control tools such as GitHub or Azure DevOps Experience with Azure DevOps for CI/CD pipeline More ❯

issues Strong analytical and problem-solving skills Strong teamwork, interpersonal and collaboration skills with colleagues and clients Experience with Cloud ETL tools such as Databricks/Snowflake, Spark and Kafka Experience using source control tools such as GitHub or Azure DevOps Experience with Azure DevOps for CI/CD pipeline More ❯

Strong interpersonal and presentation skills with the ability to influence others Skills and Abilities Platforms & Tools Cloud Computing platforms (ADLS Gen2), Microsoft Stack (Synapse, DataBricks, Fabric, Profisee), Azure Service Bus, Power BI, DeltaLake, Azure DevOps, Azure Monitor, Azure Data Factory, SQL Server, Azure DataLake Storage, Azure App service, Azure ML More ❯

and Scientists to optimise data quality, reliability, security, and automation. Skills & Responsibilities: Core responsibility will be using the NHS Secure Data Environment which utilises databricks, to design and extract regular datasets. Configure and troubleshoot Microsoft Azure, manage data ingestion using LogicApps and Data Factory. Develop ETL scripts using MS SQL More ❯