1 to 25 of 251 Permanent Databricks Jobs in the UK excluding London

testing methodologies and development team collaboration Experience working with Power BI and DAX Strong documentation, communication, and stakeholder engagement skills Preferred Qualifications: Experience with Lakehouse architecture, Delta Lake, or Databricks Exposure to Agile/Scrum working practices Microsoft certifications (e.g., Azure Data Engineer Associate) Background in consulting or professional services Understanding of data governance and data security principles Nice to More ❯

relevant insights.* Experience working in regulated environments such as pensions, insurance, or financial services is highly advantageous. Desirable * Exposure to actuarial modelling or financial risk analysis.* Familiarity with Azure Databricks, Synapse, or distributed computing tools.* Experience applying model explainability and responsible AI techniques. Rewards & Benefits This role offers a comprehensive and flexible benefits package designed to support wellbeing and personal More ❯

have experience working with some of the following technologies: Power BI Power Apps Blob storage Synapse Azure Data Factory (ADF) IOT Hub SQL Server Azure Data Lake Storage Azure Databricks Purview Power Platform Python More ❯

with data visualisation platforms like Tableau or Power BI Exposure to machine learning or data science application development Knowledge of modern data platform technologies such as Quantexa, Palantir, or Databricks Proficiency with open-source data tools and frameworks Experience with test automation within CI/CD pipelines Reference: AMC/RHU/LDE #ryhu More ❯

and AI/ML use cases Implement CI/CD workflows Ensure GDPR compliance and secure data handling Requirements: 5+ years in data engineering or Strong experience with Azure, Databricks, Microsoft Fabric, and Snowflake Proficiency in SQL, Python, and tools like dbt and Airflow Familiarity with DevOps practices in a data context Benefits: Work on impactful, enterprise-wide data projects More ❯

and internal policies. What We're Looking For: Solid experience in data engineering or backend data development. Strong experience with Azure data services (e.g., Data Factory, Dake Lake, Synapse, Databricks) and tools like dbt. Proficiency in SQL and Python, with a solid understanding of data modelling and transformation. Experience integrating data from enterprise systems (CRM, ERP, HRIS). Familiarity with More ❯

and internal policies. What We're Looking For: Solid experience in data engineering or backend data development. Strong experience with Azure data services (e.g., Data Factory, Dake Lake, Synapse, Databricks) and tools like dbt. Proficiency in SQL and Python, with a solid understanding of data modelling and transformation. Experience integrating data from enterprise systems (CRM, ERP, HRIS). Familiarity with More ❯

and internal policies. What We're Looking For: Solid experience in data engineering or backend data development. Strong experience with Azure data services (e.g., Data Factory, Dake Lake, Synapse, Databricks) and tools like dbt. Proficiency in SQL and Python, with a solid understanding of data modelling and transformation. Experience integrating data from enterprise systems (CRM, ERP, HRIS). Familiarity with More ❯

Azure engineering experience (IaaS ? PaaS), including Infra as Code. Strong SQL skills and proficiency in Python or PySpark . Built or maintained data lakes/warehouses using Synapse , Fabric , Databricks , Snowflake , or Redshift . Experience hardening cloud environments (NSGs, identity, Defender). Demonstrated automation of backups, CI/CD deployments, or DR workflows. Nice-to-Haves: Experience with Azure OpenAI More ❯

Azure engineering experience (IaaS PaaS), including Infra as Code. Strong SQL skills and proficiency in Python or PySpark . Built or maintained data lakes/warehouses using Synapse , Fabric , Databricks , Snowflake , or Redshift . Experience hardening cloud environments (NSGs, identity, Defender). Demonstrated automation of backups, CI/CD deployments, or DR workflows. Nice-to-Haves: Experience with Azure OpenAI More ❯

to architectural decisions, and support the migration of reporting services to Azure. Key Responsibilities: Design, build, and maintain ETL pipelines using Azure Data Factory , Azure Data Lake , Synapse , and Databricks . Design and build a greenfield Azure data platform to support business-critical data needs. Collaborate with stakeholders across the organization to gather and define data requirements. Assist in the More ❯

Azure ML, Cognitive Services) Solid understanding of SQL, REST APIs, and cloud data integration Familiarity with Python, R, or similar scripting languages Bonus points for experience with Azure Synapse, Databricks, or Power Apps Microsoft certifications (PL-300, DP-203, AI-900) are a plus Benefits : Salary up to around £60,000 depending on experience 10% annual bonus Pension with More ❯

Azure ML, Cognitive Services) Solid understanding of SQL, REST APIs, and cloud data integration Familiarity with Python, R, or similar scripting languages Bonus points for experience with Azure Synapse, Databricks, or Power Apps Microsoft certifications (PL-300, DP-203, AI-900) are a plus Benefits : Salary up to around £60,000 depending on experience 10% annual bonus Pension with More ❯

Promote user adoption, training, and change management initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding More ❯

Promote user adoption, training, and change management initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding More ❯

and data modelling; as well as healthcare technology and regulatory requirements (ISO13485, ISO27001) You have experience of managing data in Azure using tools such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics You have a good knowledge of Data Lake and Data Warehouse architectures You have experience implementing monitoring and logging for data pipelines You are collaborative, enjoy problem More ❯

Data Engineer - Leading Pharmaceutical Company - Manchester(Tech Stack: Data Engineer, Databricks, Python, Power BI, Azure, TSQL, ETL, Agile Methodologies)About the Role: We are seeking a talented and experienced Data Engineer on behalf of our client, a leading Software House. This is a fully remote position, offering the opportunity to work with cutting-edge technologies and contribute to exciting projects More ❯

Data Engineer - Leading Pharmaceutical Company - Manchester (Tech Stack: Data Engineer, Databricks, Python, Power BI, Azure, TSQL, ETL, Agile Methodologies) About the Role: We are seeking a talented and experienced Data Engineer on behalf of our client, a leading Software House. This is a fully remote position, offering the opportunity to work with cutting-edge technologies and contribute to exciting projects More ❯

Studio). Strong Data Analysis skills and hands-on experience with SQL/Python for data interrogation. Working knowledge of Cloud-based data and analytics solutions (e.g., Microsoft Azure, Databricks, Informatica, PowerBI) and ETL/ELT technology (e.g., Informatica DEI). Proven ability to understand business processes, facilitate meetings with senior stakeholders, and translate business requirements into technical designs. Excellent More ❯

to Haves": • Certification in dbt or Google Cloud Platform or related technologies. • Experience with other cloud platforms (e.g. AWS, Azure, Snowflake) and data warehouse/lakehouse technologies (e.g. Redshift, Databricks, Synapse) • Knowledge of distributed big data technologies. • Proficiency in Python. • Familiarity with data governance and compliance frameworks. Your characteristics as a Consultant will include: • Driven by delivering quality work, with More ❯

and presenting to senior stakeholders. Comprehensive knowledge of data management principles, including governance, quality, security, and lifecycle management. Familiarity with data tools and platforms: SQL, MS Azure cloud technologies, Databricks, Power BI, EDP, MDM (Master Data Management). Knowledge of data modelling, ETL pipelines, and data warehousing principles. Understanding of data privacy and compliance regulations (e.g. GDPR) Experience with agile More ❯

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 ❯

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 ❯

Senior Databricks Data Engineer (flexible location) Bibby Financial Services have an exciting opportunity available for a reliable Senior Databricks Data Engineer to join our team. You will join us on a full time, permanent basisand in return, you will receive a competitive salary of £60,000 - £70,000 per annum. About the role: As our Senior Databricks Data Engineer, you … coach, support and organise to ensure we sustain a predictable pipeline of delivery, whilst ensuring all appropriate governance and best practice is adhered to. Your responsibilities as our Senior Databricks Data Engineer will include: Understand the business/product strategy and supporting goals with the purpose of ensuring data interpretation aligns Provide technical leadership on how to break down initiatives … databases and APIs Deliver large-scale data processing workflows (ingestion, cleansing, transformation, validation, storage) using best practice tools and techniques What we are looking for in our ideal Senior Databricks Data Engineer: A Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Alternatively, relevant experience in the data engineering field Databricks, including Unity Catalog Terraform More ❯

supporting automated workflows in Alteryx Designer. Experience deploying workflows to the Production Gallery. Knowledge of database fundamentals, data design, SQL, and data warehouse concepts is beneficial. Exposure to PowerBI, Databricks, Azure, and Profisee is advantageous. Knowledge of Json, Python, XML, and R is a plus. Experience with non-relational and unstructured data is beneficial. Familiarity with Azure DevOps or GitHub More ❯