1 to 25 of 179 Databricks Jobs in Scotland

ELT principles , data architecture, and data warehouse concepts Familiarity with APIs, RESTful services, and JSON/XML data handling Experience with Azure Data Factory , Databricks , or AWS Glue Familiarity with CI/CD , version control (Git), and DevOps practices Knowledge of cloud platforms (Azure, AWS, or GCP) Basic understanding of More ❯

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

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

About You: Deep expertise in data engineering, data pipelines, and semantic models. Hands-on experience building data platforms on Microsoft Azure (Data Factory, Synapse, Databricks, Purview). Skilled in deploying machine learning models and generative AI applications in production. Strong programming skills in Python, SQL, YAML. Experience with CI/ More ❯

About You: Deep expertise in data engineering, data pipelines, and semantic models. Hands-on experience building data platforms on Microsoft Azure (Data Factory, Synapse, Databricks, Purview). Skilled in deploying machine learning models and generative AI applications in production. Strong programming skills in Python, SQL, YAML. Experience with CI/ More ❯

About You: Deep expertise in data engineering, data pipelines, and semantic models. Hands-on experience building data platforms on Microsoft Azure (Data Factory, Synapse, Databricks, Purview). Skilled in deploying machine learning models and generative AI applications in production. Strong programming skills in Python, SQL, YAML. Experience with CI/ More ❯

include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write clean, efficient, and More ❯

include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write clean, efficient, and More ❯

include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write clean, efficient, and More ❯

Azure; Terraform/IaC familiarity Python Excellence: Clean, testable code; performance optimisation; packaging & dependency management Data Engineering for AI: Streaming & batch pipelines (Spark/Databricks), vector databases, metadata & lineage Leadership: Proven experience guiding multi‐disciplinary teams and influencing C‐suite stakeholders Backend and cloud languages such as Spark, LangChain, Terraform More ❯

and Experience Degree (BSc, MSc, or PhD) in Computer Science, Mathematics, or a related field. Familiarity with alternative cloud and data platforms such as Databricks, Snowflake, Azure, or AWS. Knowledge of DevOps/DataOps methodologies and experience with CI/CD pipelines. Understanding of monitoring, logging, and troubleshooting in cloud More ❯

and Experience Degree (BSc, MSc, or PhD) in Computer Science, Mathematics, or a related field. Familiarity with alternative cloud and data platforms such as Databricks, Snowflake, Azure, or AWS. Knowledge of DevOps/DataOps methodologies and experience with CI/CD pipelines. Understanding of monitoring, logging, and troubleshooting in cloud More ❯

and Experience Degree (BSc, MSc, or PhD) in Computer Science, Mathematics, or a related field. Familiarity with alternative cloud and data platforms such as Databricks, Snowflake, Azure, or AWS. Knowledge of DevOps/DataOps methodologies and experience with CI/CD pipelines. Understanding of monitoring, logging, and troubleshooting in cloud More ❯

projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python, Spark More ❯

projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python, Spark More ❯

projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python, Spark More ❯

Requirements/Expertise : Primary skills : Data, Python, pyspark Should have expertise in data engineering experience leveraging technologies such as Snowflake, Azure Data Factory, ADLS, Databricks etc. Should have expertise in writing SQL queries against any RDBMS with query optimization. Experience structuring Data Lake for reliability security and performance. Experience implementing More ❯

Requirements/Expertise Primary skills : Data, Python, pyspark Should have expertise in data engineering experience leveraging technologies such as Snowflake, Azure Data Factory, ADLS, Databricks etc. Should have expertise in writing SQL queries against any RDBMS with query optimization. Experience structuring Data Lake for reliability security and performance. Experience implementing More ❯

data technologies (e.g., Spark, Hadoop, Flink) and distributed data processing frameworks. Proven experience with cloud data platforms and services (e.g., Azure Data Factory, Azure Databricks, AWS Glue, Google Cloud Dataflow, BigQuery). What's On Offer An exceptional opportunity to contribute to high-impact national initiatives within a leading government More ❯

with a focus on building scalable data systems and platforms. Strong expertise with modern data tools and frameworks such as Spark , dbt , Airflow , Kafka , Databricks , and cloud-native services (AWS, GCP, or Azure). Deep understanding of data modeling , distributed systems , streaming architectures , and ETL/ELT pipelines . Proficiency More ❯

solutions align with NHS requirements and best practices. Develop end-to-end data solutions leveraging Azure services, including Azure Synapse Analytics, Azure Data Factory, Databricks, and Azure SQL. Define data models, integration patterns, and governance frameworks to ensure efficient data management, interoperability, and compliance. Drive cloud migration strategies for NHS More ❯

solutions align with NHS requirements and best practices. Develop end-to-end data solutions leveraging Azure services, including Azure Synapse Analytics, Azure Data Factory, Databricks, and Azure SQL. Define data models, integration patterns, and governance frameworks to ensure efficient data management, interoperability, and compliance. Drive cloud migration strategies for NHS More ❯

solutions align with NHS requirements and best practices. Develop end-to-end data solutions leveraging Azure services, including Azure Synapse Analytics, Azure Data Factory, Databricks, and Azure SQL. Define data models, integration patterns, and governance frameworks to ensure efficient data management, interoperability, and compliance. Drive cloud migration strategies for NHS More ❯

and 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 More ❯

field, with a focus on building scalable data systems and platforms. Expertise in modern data tools and frameworks such as Spark, dbt, Airflow, Kafka, Databricks, and cloud-native services (AWS, GCP, or Azure) Understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming architectures Proficiency in SQL and More ❯