17 of 17 Databricks Jobs in Scotland

data engineering or a related 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 at least one programming language 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 ❯

large-scale platforms and diverse stakeholder groups Strong data modelling skills across OLTP and OLAP systems, with experience building datamarts and warehouses Proficiency with cloud-native tools (e.g. Snowflake, Databricks, Azure Data Services, etc.) High-level SQL skills and experience with tools like SSMS, SSIS, or SSRS Strong understanding of data governance, RBAC, and information security practices Able to evaluate More ❯

In-depth experience in AI application development. You have previously planned and developed end-to-end solutions. Proficiency in C#, .NET Core, and Python. Experience with Azure Data Factory, Databricks, and either Azure Cosmos DB or Azure SQL Database is beneficial. Experience in designing and maintaining robust CI/CD pipelines, applying Infrastructure as Code (IaC) principles with exposure to More ❯

deploy software to production and monitor releases using appropriate tools. Strong proficiency in designing applications and integrating services such as Azure Function Apps, Azure Service Bus, Azure Logic Apps, Databricks, Cosmos DB, and SQL Server relational databases. Hands-on experience with containerisation and orchestration using Docker and Azure Kubernetes Service (AKS), ensuring efficient and scalable application deployment. About SSE SSE More ❯

deploy software to production and monitor releases using appropriate tools. Strong proficiency in designing applications and integrating services such as Azure Function Apps, Azure Service Bus, Azure Logic Apps, Databricks, Cosmos DB, and SQL Server relational databases. Hands-on experience with containerisation and orchestration using Docker and Azure Kubernetes Service (AKS), ensuring efficient and scalable application deployment. About SSE SSE 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 ❯

to a wide variety of audiences. For candidates applying for the Senior Consultant role, we additionally require: Working experience with at least one Cloud Platform (AWS, Azure, GCP, Snowflake, Databricks etc.) and exposure to Cloud Architecture principles. Demonstrated experience in people management, product owner or workstream management. Experience supporting and participating in the commercial cycle, including defining project scope and 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 ❯

maturity assessments and alignment of gaps to enabling technology solutions Appreciation/Experience in designing and governing data platform architectures (e.g. broad understanding of Informatica, Collibra, Ab Initio, Snowflake, Databricks) Appreciation of and interest in attaining end-to-end data skills e.g., data quality, metadata, data-mesh, data security, privacy & compliance Experience with Enterprise/platform/application (e.g. cloud More ❯

business outcomes. What you'll bring Experience designing solutions in complex environments, ideally within financial services. Strength in one or more of the following: Data platforms such as Snowflake, Databricks, Azure Fabric, Power BI. Platform engineering and shared services enablement. Familiarity with Microsoft technologies, especially Azure and .NET. A curious mindset and a passion for applying emerging tech to real More ❯

banking client in various data transformation activities. Key Responsibilities: Collaborating with cross-functional teams to understand data requirements, and design efficient, scalable, and reliable ETL processes using Python and Databricks Developing and deploying ETL jobs that extract data from various sources, transforming them to meet business needs. Taking ownership of the end-to-end engineering lifecycle, including data extraction, cleansing … to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack. Collaborate seamlessly across diverse technical stacks, including Databricks, Snowflake, etc. Developing various components in Python as part of a unified data pipeline framework. Contributing towards the establishment of best practices for the optimal and efficient usage of data … years of experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc. 3+ years hands-on experience with cloud services, especially Databricks, for building and managing scalable data pipelines 3+ years of proficiency in working with Snowflake or similar cloud-based data warehousing solutions 3+ years of experience in data development and More ❯

evolve our practices, tooling, and engineering standards. We'd love to talk to you if you have: Proven experience delivering scalable, cloud-based data platforms using tools such as Databricks, Spark or PySpark, and services from AWS, Azure, or GCP. Experience in line management and people development. You've supported engineers with regular 1:1s, development planning, and performance conversations More ❯

Query - experience for data transformation DAX - experience writing DAX measures Familiarity with tools such as Tabular Editor, Dax Studio SQL - ability to effectively query SQL databases Any exposure to Databricks would be beneficial Understanding of relational databases and Kimball approach to data warehousing Experience of designing, building and maintaining best practise semantic models Microsoft Certification such as PL-300 and More ❯

RFP responses as well as thought leadership articles that we issue to the market. Experience in Data Platform Technologies, including some of the following capabilities: Understanding of Snowflake/Databricks architecture, including basic data warehousing concepts and data sharing capabilities The ability to write SQL and/or Python queries for the purposes of transforming, joining and aggregating data Ability … to analyse datasets and generate insights using Snowflake and/or Databricks analytical tools and features Practical knowledge of common data engineering and BI/data visualisation integrations such as dbt, Azure Data Factory, PowerBI and Sigma Experience using native functionality to deploy and interact with Large Language Models Ability to develop, test and deploy machine learning models Work to … Some hands-on coding experience with SQL, Python or Scala would be advantageous but not compulsory Relevant experience in Data Platform Technologies (knowledge of any or all including Snowflake, Databricks, Microsoft Fabric would be beneficial) Previous consulting experience would be a plus, but so would the curiosity and ambition to develop your career with a consulting role What we look More ❯

of cloud platforms (preferably AWS) Experience in Payments , ideally in financial services Expertise in event-driven architecture , microservices , and streaming platforms (e.g. Kafka) Hands-on experience with tools like Databricks , Snowflake , S3 , and broader data ecosystem knowledge Background in software engineering - understands what good implementation looks like Confident communicator who can teach , influence , and represent architecture at senior levels This More ❯

About Us We're Dayshape-an award-winning software scale-up with big ambitions and the momentum to match. Trusted by Big Four and many other top professional services firmsglobally, our AI-powered resource management platform is helping organisations to More ❯