26 to 50 of 225 Databricks Jobs in the UK excluding London

with hands-on experience in relational and dimensional data modelling. Modern Data Engineering: Proven ability to design and deliver scalable solutions using tools like Microsoft Fabric (strongly preferred), Synapse, Databricks, or similar. Supporting Know-How: Solid grasp of data architecture, governance and security. DevOps & Cloud Fluency: Practical experience with CI/CD pipelines, APIs, and cloud tooling (e.g. Azure DevOps More ❯

merchandising Proven ability to manage multiple projects simultaneously Strong stakeholder engagement and communication skills Essential technical skills: SQL, Power BI, Power Automate Preferred experience: A/B testing, Python, Databricks (especially for manager role), ETL/ELT pipelines, data modelling (marts, dimensional models), Git/version control Experience in pricing analytics and Mastercard Test & Learn platform is a bonus Details More ❯

via the Apply link on this page. For further details or to enquire about other roles, please contact Nick Mandella at Harnham. KEYWORDS Python, SQL, AWS, GCP, Azure, Cloud, Databricks, Docker, Kubernetes, CI/CD, Terraform, Pyspark, Spark, Kafka, machine learning, statistics, Data Science, Data Scientist, Big Data, Artificial Intelligence, private equity, finance. More ❯

on-prem Analysis Services to the cloud, moving our WMS, ERP and bespoke apps to scalable platforms, and expanding AI/ML initiatives. We are evaluating both Fabric and Databricks as a potential strategic fit. As our hands-on Data & Analytics Engineer, youll play a key role in shaping and influencing that decision, helping assess the best platform for our … ownership across tooling, standards, engineering and enablement rather than being confined to a narrow BI silo. Key Responsibilities Data Platform Build-out Design relational & Lakehouse schemas in Fabric or Databricks Lead the re-architecture of SSAS cubes to modern Lakehouse models Set up medallion architecture and govern data pipelines. Contribute to the evaluation and selection of data platform architecture based … dimensional modelling, 3NF) Experience designing and building modern data pipelines and Lakehouse architectures Hands-on experience with at least one enterprise-grade data platform (e.g., Microsoft Fabric, Azure Synapse, Databricks, or equivalent) Proficiency in ELT/ETL development using tools such as Data Factory, Dataflow Gen2, Databricks Workflows, or similar orchestration frameworks Experience with Python and/or PySpark for More ❯

DevOps for version control and deployment Confident presenting to stakeholders and running end-user training sessions Passion for clean design and data storytelling Any exposure to Microsoft Fabric or Databricks is a bonus More ❯

machines - both Windows and Linux. Familiarity with server patching and maintenance. Strong understanding of security best practices within Azure and ideally AWS. Experience of configuring cloud data services (preferably Databricks) in Azure and ideally AWS. Excellent communication and collaboration skills, with the ability to work across multiple technical and non-technical teams. What happens now? After submitting your application for More ❯

machines - both Windows and Linux. Familiarity with server patching and maintenance. * Strong understanding of security best practices within Azure and ideally AWS. * Experience of configuring cloud data services (preferably Databricks) in Azure and ideally AWS. * Excellent communication and collaboration skills, with the ability to work across multiple technical and non-technical teams. What happens now? After submitting your application for More ❯

scheme, long service recognition, and regular company events What you'll need: Solid experience in data engineering, management and analysis Strong experience with Azure Data Warehouse solutions and AWS Databricks platforms Exceptional Python/PySpark + additional languages for data processing Strong SQL with experience across both relational databases (SQL Server, MySQL) and NoSQL solutions (MongoDB, Cassandra) Hands-on knowledge More ❯

within the insurance sector, ideally with London Market experience. Strong knowledge of insurance data models, including policy, claims, and risk-related structures. Expertise in Azure Cloud Services (Data Factory, Databricks, Key Vault, Azure SQL) and data warehousing methodologies (Kimball, Inmon). Proficiency in T-SQL for data transformation and summarisation, with Python skills for building data pipelines. Advanced Excel skills More ❯

Experience with go-to-market activities, RFI/RFP responses, and proposal materials. TOGAF or equivalent certification; cloud certifications (AWS/Azure); data & AI tooling (e.g., Azure Fabric, Snowflake, Databricks). Experience with Data Mesh and data governance platforms (e.g., Collibra, Informatica). Ability to develop a common language for data, data models, data dictionaries, vocabularies, taxonomies, or ontologies. Experience More ❯

Experience with go-to-market activities, RFI/RFP responses, and proposal materials. TOGAF or equivalent certification; cloud certifications (AWS/Azure); data & AI tooling (e.g., Azure Fabric, Snowflake, Databricks). Experience with Data Mesh and data governance platforms (e.g., Collibra, Informatica). Ability to develop a common language for data, data models, data dictionaries, vocabularies, taxonomies, or ontologies. Experience More ❯

Experience with go-to-market activities, RFI/RFP responses, and proposal materials. TOGAF or equivalent certification; cloud certifications (AWS/Azure); data & AI tooling (e.g., Azure Fabric, Snowflake, Databricks). Experience with Data Mesh and data governance platforms (e.g., Collibra, Informatica). Ability to develop a common language for data, data models, data dictionaries, vocabularies, taxonomies, or ontologies. Experience More ❯

Experience with go-to-market activities, RFI/RFP responses, and proposal materials. TOGAF or equivalent certification; cloud certifications (AWS/Azure); data & AI tooling (e.g., Azure Fabric, Snowflake, Databricks). Experience with Data Mesh and data governance platforms (e.g., Collibra, Informatica). Ability to develop a common language for data, data models, data dictionaries, vocabularies, taxonomies, or ontologies. Experience More ❯

and manage ETL pipelines and APIs to improve data delivery and accuracy Contribute to the overall data strategy alongside BI and analytics colleagues Tech You'll Use SQL Python Databricks Experience with web scraping or similar techniques would be a bonus. Interview Process Initial interview with the Data Manager Technical discussion/assessment (you'll walk through your approach to More ❯

to meet business needs. Contribute to pre-sales, proposals, and thought leadership activities. Requirements Strong experience designing and maintaining data platforms and ETL/ELT solutions. Solid knowledge of Databricks, Python, PySpark, Spark SQL, Azure and/or AWS. Data modelling expertise (Inmon, Kimball, Data Vault). Familiar with DataOps practices and pipeline monitoring. Experience with sensitive data and applying More ❯

through advanced analytics and research-based problem solving. To be successful you should have: 10 years hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Previous experience in implementing best practices for data engineering, including data governance, data quality, and data security. Proficiency in data processing and More ❯

engineering roles, ideally within consumer tech, logistics, or e-commerce. Strong proficiency in Python, SQL, and machine learning frameworks. Experience with cloud platforms (Azure, AWS, GCP) and tools like Databricks, DBT, Airflow, or Terraform. Familiarity with AI/ML applications and modern analytics tooling. Excellent communication skills and ability to work independently in a fast-paced environment. Why Join? Be More ❯

and Finance. Develop target-state architectures and data strategies in line with business needs. Create and manage conceptual, logical, and physical data models. Design and implement Lakehouse Architectures using Databricks and other modern data platforms. Ensure robust data governance, integration, and quality across systems. Collaborate with IT and business stakeholders to deliver scalable, cloud-based solutions. What We're Looking More ❯

managing complex financial datasets Python experience, particularly for data processing and ETL workflows Hands-on experience with cloud platforms- Azure Experience designing and maintaining data pipelines using tools like Databricks and PySpark Knowledge of data warehousing solutions - Snowflake experience would be brilliant Understanding of CI/CD processes for deploying data solutions Some exposure to big data technologies and distributed More ❯

strong technical expertise and a passion for solving complex business problems. You'll bring: Strong experience with SQL, SQL Server DB, Python, and PySpark Proficiency in Azure Data Factory, Databricks is a must, and Cloudsmith Background in data warehousing and data engineering Solid project management capabilities Outstanding communication skills, translating technical concepts into clear business value A collaborative, solution-oriented More ❯

small, high-performing team. What We're Looking For Hands-on Palantir Foundry expertise or transferable, client facing data engineering experience with large-scale data platforms such as: Snowflake, Databricks, AWS Glue/Redshift, Google BigQuery Software engineering skills in Python, Java, or TypeScript/React. Strong data modelling, pipeline development, and API design experience. Excellent problem-solving and communication More ❯

scripting or programming experience Strong conceptual skills, logical/analytical thinking & problem-solving skills Desirable Experience with Infrastructure as Code, for automation and configuration management Knowledge and experience of Databricks THE PACKAGE A Competitive starting salary with annual pay reviews. 25 Days holiday plus bank holidays. Plenty of opportunity for progression. Flexibility for hybrid working. Health care and medical insurance More ❯

Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming More ❯

Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming More ❯

to learn. Technical Skills: Degree or equivalent experience in data science, analytics, or a related field. Proven experience of creating and maintaining data pipelines. Experience of Advanced Excel, Azure Databricks, Advanced SQL, working knowledge of PowerBI, and exposure to GIS. GDPR awareness and compliance. Desirable: Understanding and exposure to databases, interfaces, business systems and work force management solutions Knowledge of More ❯