1 to 25 of 145 Databricks Jobs in Scotland

want to help solve the public sector’s toughest challenges with Data and AI? That is what we do every day at Databricks. Databricks is looking for a senior-level Enterprise Account Executive to own and grow our Public Sector business across the Republic of Ireland and Scotland. You will … sustainable growth. Working closely with government stakeholders, internal teams, cloud providers, and strategic partners, you will deepen consumption in existing accounts and extend Databricks’ footprint across the Republic of Ireland. The impact you will have Build and execute a strategic, Ireland-wide go-to-market plan that prioritises government agendas ...

Testing, and DevOps practices. Excellent problem-solving skills and ability to work independently. Strong stakeholder management and communication skills. Nice to Have Experience with Databricks, Delta Lake, Unity Catalog, and migration projects. Knowledge of AI/ML and MLOps frameworks. Experience with streaming technologies such as Kafka or Kinesis. Ideal ...

Contribute to the broader data architecture community through knowledge sharing, presentations. What you'll bring to the role: Data Engineering experience with Snowflake and Databricks native solutions. Experience on Snowflake Cortex is must. Proficiency in programming skills in Python. Experience with data processing frameworks like Apache Spark or Hadoop. Knowledge ...

development processes.Contribute to the broader data architecture community through knowledge sharing, presentations.What you'll bring to the role:Data Engineering experience with Snowflake and Databricks native solutions.Experience on Snowflake Cortex is must.Proficiency in programming skills in Python.Experience with data processing frameworks like Apache Spark or Hadoop.Knowledge of database systems ...

equivalent experience in computer science engineering, or a related field.Strong programming skills in languages such as Python, Java, or Scala.Hands-on experience with Databricks, SQL, and data modelling. Proficiency with big data tools (e.g., Apache Spark, Apache Kafka, Presto, etc.) and cloud services (e.g., Azure, AWS, GCP).Familiarity with data ...

with SQL, Data modeling, optimizing and structuring queries to be used across disparate datasets. 5+ years of experience designing and building data pipelines (e.g., Databricks, Snowflake, Glue, Azure Data Factory, dbt, etc.). 3+ years of experience deploying code using a source control product like GitLab or GitHub. Proven experience ...

Experienced in data ingestion, processing, transformation, and delivery using batch, streaming, and real‐time methods. (Preferred) Experience supporting Spark‐based platforms (e.g. EMR, Glue, Databricks) (Preferred) Proficient with DevOps tools and practices (Git, Jenkins, Docker, Kubernetes) as well as ETL frameworks (Apache Spark, Airflow, AWS IoT Analytics/Device Management ...

data processing languages (Python, SQL, PySpark) and an open-minded approach to tech stacks—ranging from SSIS and stored procedures to Airflow, Spark, Databricks, or Fabric. Cloud Capability: Experience with at least one major cloud provider (AWS, Azure, or Google Cloud) alongside a curiosity to learn and adapt to others. ...

Technical SkillsData Platforms: Experience in building & scaling data lakes, data warehouses, and associated data systems.Databases: SQL, PostgreSQL; MongoDB and cloud-based platforms (e.g. Snowflake, Databricks, Redshift).Semantic Layer: Design and implementation for governed reusable data views.Data Governance Tools: Collibra, Alation, Talend or equivalent.Expertise in ETL tools and processes (e.g., Apache ...

stakeholders Требования Experience with cloud data warehousing solutions such as Snowflake, Amazon Redshift, or AWS Understanding of data integration processes and tools such as Databricks, DBT, or Glue Ability to design data models aligned with ETL pipelines Understanding of data management standards, regulatory compliance including GDPR and HIPAA, and security ...

various database technologies. Technical Versatility: Fluency in data processing languages (Python, SQL, PySpark) and openness to tech stacks such as SSIS, Airflow, Spark, Databricks, Fabric. Cloud Capability: Experience with at least one major cloud provider (AWS, Azure, or Google Cloud) and curiosity to learn others. Bridging Data & AI: Understanding ...

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 ...

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. ...

large language model serving, agentic patterns (tool/function calling, Model Context Protocol), or platforms such as Bedrock or Azure OpenAI Experience with Databricks, MongoDB, or large‐scale extract, transform, and load/data integration workflows Knowledge of data governance, lineage, and entitlements concepts in an enterprise environment ABOUT ...

patternsExposure to large language model serving, agentic patterns (tool/function calling, Model Context Protocol), or platforms such as Bedrock or Azure OpenAIExperience with Databricks, MongoDB, or large-scale extract, transform, and load/data integration workflowsKnowledge of data governance, lineage, and entitlements concepts in an enterprise environmentJ.P. Morgan ...

such as Salesforce Data Cloud, Adobe Experience Platform, or equivalent (desirable). Familiarity with cloud-based data warehouses or data lakes such as Snowflake, Databricks, or Google BigQuery (desirable). Understanding of marketing measurement methodologies such as Marketing Mix Modelling (MMM) or Multi-Touch Attribution (MTA) (desirable). Confidence using ...

CDPs) such as Salesforce Data Cloud, Adobe Experience Platform, or equivalent (desirable).Familiarity with cloud-based data warehouses or data lakes such as Snowflake, Databricks, or Google BigQuery (desirable).Understanding of marketing measurement methodologies such as Marketing Mix Modelling (MMM) or Multi-Touch Attribution (MTA) (desirable).Confidence using AI tools ...

responsible for several key activities: Design, build, and maintain scalable, secure, and high performing data pipelines using Azure Data Factory, Synapse, Fabric Pipelines, or Databricks Integrate data from multiple systems into Azure Data Lake Storage or OneLake, ensuring consistency, reliability, and performance Develop and maintain ELT/ETL processes using … Contribute to internal knowledge sharing, best-practice development, and engineering accelerators or templates Deep understanding of Azure Data Factory, Synapse, Fabric, Power BI and Databricks Experience in Fabric/data architecture Experience in Fabric/data migrations Understanding of the requirements of stringent data governance Ability to consult with clients ...

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 ...

governance and controls. Experience with Collibra APIs, workflow development or Edge/Connect integrations. Experience integrating metadata platforms with data platforms such as Snowflake, Databricks, Azure, AWS or Informatica. Knowledge of data mesh, data products or domain-driven design concepts. Data governance, data management or cloud certifications. #J-18808-Ljbffr ...

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 ...

Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and proficient applied experience Strong hands‐on data engineering experience with Databricks and AWS Hands‐on practical experience in system design, application development, testing, and operational stability Proficiency in coding in Python Solid understanding of agile methodologies ...

working across both legacy and cloud-based technology environments. Strong understanding of Cloud/Azure technologies ideally, including: Azure Data Lake Azure Data Factory Databricks Synapse Analytics Azure SQL Strong data modelling, integration and enterprise architecture skills. Excellent stakeholder management and ability to communicate architectural decisions to both technical ...

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 ...

Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and proficient applied experience Strong hands-on data engineering experience with Databricks and AWS Hands-on practical experience in system design, application development, testing, and operational stability Proficiency in coding in Python Solid understanding of agile methodologies ...