12 of 12 Remote Databricks Jobs in Edinburgh

We work with some of the UK’s biggest companies and government departments to provide a pragmatic approach to technology, delivering bespoke software solutions and expert advice. Our clients are increasingly looking to us to help them make the best More ❯

engineering or a related field, 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 in SQL and at least More ❯

engineering or a related field, 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 in SQL and at least More ❯

AWS Glue, Azure Data Factory, or Google Cloud Dataflow Working with platform services such as Amazon S3, Azure Synapse, Google BigQuery, and Snowflake Implementing Lakehouse architectures using tools like Databricks or Snowflake Collaborating closely with engineers, analysts, and client teams to deliver value-focused data solutions We'd love to talk to you if: You’ve got solid experience working More ❯

.NET, dbt, Airflow and cloud-native data tools (AWS, GCP or Azure) You have strong knowledge of data architecture patterns - including Lakehouse and modern warehouse design (e.g. Snowflake, BigQuery, Databricks) You know how to build with performance, security and maintainability in mind You can comfortably influence and guide both technical and non-technical stakeholders You're passionate about helping others More ❯

EXPERIENCE A successful Data Engineering Consultant will have the following: Solid technical ability in Python , SQL & Azure (essential). Strong proficiency in Microsoft Azure and relevant tools/technologies ( Databricks, Azure Data Factory, Azure Data Lake, Azure Synapse ). Proven understanding of DevOps best practices: CI/CD (Azure DevOps is ). Solid communication skills and business-facing/stakeholder More ❯

documents, and ensuring best practices in solution delivery. Qualifications and Skills: Proficiency in SQL Server Business Intelligence Development Studio, SSRS, SSIS, SQL Server, Visual Studio, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Microsoft Fabric, and PySpark. Experience in developing reusable and dynamic ADF/Fabric pipelines. Strong communication skills for interaction with clients and technical teams. Bachelor's Degree More ❯

EXPERIENCE A successful Data Engineering Consultant will have the following: Solid technical ability in Python , SQL & Azure (essential). Strong proficiency in Microsoft Azure and relevant tools/technologies ( Databricks, Azure Data Factory, Azure Data Lake, Azure Synapse ). Proven understanding of DevOps best practices: CI/CD (Azure DevOps is preferred). Solid communication skills and business-facing/ More ❯

Data Engineering. We are looking for: Demonstratable data engineering skills, with a focus on having delivered in Microsoft Azure Strong experience designing and delivering data solutions in Fabric, Azure Databricks or Azure Synapse Proficient with SQL and Python Great communication skills, effectively participating with Senior Stakeholders A record of managing and leading small teams Must have some consulting experience Nice More ❯

the freedom to mature and evolve our data platform accelerators. We believe this role suits candidates from diverse backgrounds, but we ask that you: Have strong experience working with Databricks Have experience in an AWS or Azure environment Are comfortable with Infrastructure as Code Can automate repetitive tasks and workloads Are passionate about data solutions and evangelising them Enjoy staying More ❯

delivering data solutions in a consultancy, pre-sales, or technical advisory role. Knowledge and experience of one or more of the following key data technologies; Azure Fabric, SQL Server, Databricks, Snowflake, AWS Amazon Sagemaker, Oracle or equivalents. Proposal & Communication Expertise Strong written and verbal communication skills, with a proven ability to articulate complex concepts to technical and business audiences. Experience More ❯

stakeholders and business users. Key Skills: Proven background in platform selection, configuration, and onboarding (ideally across AWS, cloud, or on-prem solutions). Hands-on familiarity with tools like Databricks, Python, and SaaS analytics environments. Experience working within a CTO or principal engineering team to translate complex technical concepts into language understood by functional users. Strong stakeholder management - able to More ❯