15 of 15 Databricks Jobs in Scotland

as Azure Data Factory, Synapse Pipelines, and SQL/T-SQL, ensuring data quality, performance, and reliability. Contribute to the evolution of our cloud-native data architecture, leveraging Azure Databricks, Azure Data Lake, and Snowflake where appropriate. Apply strong data modelling and transformation skills to support analytics, regulatory reporting, and operational use cases. Promote and implement engineering best practices, including More ❯

data pipelines Automating and orchestrating workflows (AWS Glue, Azure Data Factory, GCP Dataflow) Working across leading cloud platforms (AWS, Azure, or GCP) Implementing and optimising modern data architectures (e.g. Databricks, Snowflake) Collaborating with multidisciplinary teams to deliver real business value What were looking for Strong experience with Python, SQL , and pipeline tools such as dbt or Airflow Proven background in More ❯

data pipelines Automating and orchestrating workflows (AWS Glue, Azure Data Factory, GCP Dataflow) Working across leading cloud platforms (AWS, Azure, or GCP) Implementing and optimising modern data architectures (e.g. Databricks, Snowflake) Collaborating with multidisciplinary teams to deliver real business value What we re looking for Strong experience with Python, SQL , and pipeline tools such as dbt or Airflow Proven background More ❯

data pipelines Automating and orchestrating workflows (AWS Glue, Azure Data Factory, GCP Dataflow) Working across leading cloud platforms (AWS, Azure, or GCP) Implementing and optimising modern data architectures (e.g. Databricks, Snowflake) Collaborating with multidisciplinary teams to deliver real business value What we’re looking for Strong experience with Python, SQL , and pipeline tools such as dbt or Airflow Proven background More ❯

Scheduling Implementation knowledge on principles such as ACID, SOLID, OWASP Knowledge on UK GDPR, PII, PCI-DSS data standards Implementation of designs related to Batch processing patterns involving Talend, Databricks, Snowflake or similar Experience of running GDPR related projects involving Data Sourcing, Validations, Integration, Data Disposition, Auditing & Reporting Ability to treat Data as an Asset and Architect & provide Solutions aligned More ❯

as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at industry events, contributing to More ❯

as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at industry events, contributing to More ❯

published data models and reports. Experience required: Strong background in data engineering, warehousing, and data quality. Proficiency in Microsoft 365, Power BI, and other BI tools Familiarity with Azure Databricks and Delta Lake is desirable. Ability to work autonomously in a dynamic environment and contribute to team performance. Strong communication, influencing skills, and a positive, can-do attitude. Knowledge of More ❯

closely with other engineers, analysts, and client stakeholders to deliver reliable, automated, and high-performing data solutions end to end. What We're Looking For • Strong experience with Python, Databricks and tools like Airflow • Confident working across Cloud Platforms (AWS, Azure, GCP) • Great communication skills and the ability to work with both technical and non-technical teams • Comfortable in a More ❯

product managers to bring innovative AI ideas to life. What you'll need Strong experience with RAG architectures or similar retrieval-based AI systems Hands on knowledge of Azure (Databricks) , Python , and SQL A passion for building intelligent systems that drive tangible results Curiosity and creativity to explore new technologies and stay ahead of the curve What's on offer More ❯

product managers to bring innovative AI ideas to life. What you'll need: ** Strong experience with RAG architectures or similar retrieval-based AI systems ** Hands-on knowledge of Azure (Databricks) , Python , and SQL ** A passion for building intelligent systems that drive tangible results ** Curiosity and creativity to explore new technologies and stay ahead of the curve What's on offer More ❯

one or more of the following areas: 5+ years of experience with system development using Python Familiarity with data backends like S3, RDS, Postgres, Redis, and Elasticsearch Experience with Databricks Familiarity with Python data visualization libraries Experience implementing monitoring and alerting system using systems like Grafana, Prometheus, or Nagios Spire operates a hybrid work model, and this position will require More ❯

one or more of the following areas: 5+ years of experience with system development using Python Familiarity with data backends like S3, RDS, Postgres, Redis, and Elasticsearch Experience with Databricks Familiarity with Python data visualization libraries Experience implementing monitoring and alerting system using systems like Grafana, Prometheus, or Nagios Spire operates a hybrid work model, and this position will require More ❯

one or more of the following areas: 5+ years of experience with system development using Python Familiarity with data backends like S3, RDS, Postgres, Redis, and Elasticsearch Experience with Databricks Familiarity with Python data visualization libraries Experience implementing monitoring and alerting system using systems like Grafana, Prometheus, or Nagios Spire operates a hybrid work model, and this position will require More ❯

one or more of the following areas: 5+ years of experience with system development using Python Familiarity with data backends like S3, RDS, Postgres, Redis, and Elasticsearch Experience with Databricks Familiarity with Python data visualization libraries Experience implementing monitoring and alerting system using systems like Grafana, Prometheus, or Nagios Spire operates a hybrid work model, and this position will require More ❯

with diverse datasets (including real-world data) to extract insights and support innovation. Develop data pipelines and analytical tools using SQL, Python or R, and modern data platforms (e.g. Databricks, Snowflake). Partner with engineering teams to ensure seamless data integration and delivery. Engage directly with clients to understand their technical challenges and translate them into data solutions. Support research … years of experience in data science, analytics, or data engineering. Solid coding skills in Python or R, and confidence with SQL. Experience with cloud-based data platforms (Databricks, Snowflake, AWS, or similar). A strong analytical mindset and a hands-on attitude — happy building dashboards as well as models. Excellent communication skills, comfortable working with clients and non-technical stakeholders. More ❯

with diverse datasets (including real-world data) to extract insights and support innovation. Develop data pipelines and analytical tools using SQL, Python or R, and modern data platforms (e.g. Databricks, Snowflake). Partner with engineering teams to ensure seamless data integration and delivery. Engage directly with clients to understand their technical challenges and translate them into data solutions. Support research … years of experience in data science, analytics, or data engineering. Solid coding skills in Python or R, and confidence with SQL. Experience with cloud-based data platforms (Databricks, Snowflake, AWS, or similar). A strong analytical mindset and a hands-on attitude — happy building dashboards as well as models. Excellent communication skills, comfortable working with clients and non-technical stakeholders. More ❯