1 to 25 of 79 Permanent Databricks Jobs in the South East

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 ❯

aimed at maximizing value through data utilization. Knowled g e/Experience Expertise in Commercial/Procurement Analytics. Experience in SAP (S/4 Hana). Experience with Spark, Databricks, or similar data processing tools. Strong technical proficiency in data modeling, SQL, NoSQL databases, and data warehousing. Hands-on experience with data pipeline development, ETL processes, and big data technologies More ❯

aimed at maximizing value through data utilization. Knowled g e/Experience Expertise in Commercial/Procurement Analytics. Experience in SAP (S/4 Hana). Experience with Spark, Databricks, or similar data processing tools. Strong technical proficiency in data modeling, SQL, NoSQL databases, and data warehousing. Hands-on experience with data pipeline development, ETL processes, and big data technologies More ❯

aimed at maximizing value through data utilization. Knowled g e/Experience Expertise in Commercial/Procurement Analytics. Experience in SAP (S/4 Hana). Experience with Spark, Databricks, or similar data processing tools. Strong technical proficiency in data modeling, SQL, NoSQL databases, and data warehousing. Hands-on experience with data pipeline development, ETL processes, and big data technologies More ❯

and analytics, unlocking quality growth and operational excellence. What are we looking for? Hands-on experience in designing greenfield, scalable data platforms in cloud using Azure D&A stack, Databricks and Azure Open AI solution. Proficiency in coding (Python,PL/SQL, Shell Script) relational and non-relational databases, ETL tooling (such as Informatica), scalable data platforms. Proficiency in Azure 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 ❯

services. Gather client requirements and lead workshops. Build compelling data visualisations and narratives. Support change management, adoption, and user training. Technical Skills (Required/Desirable): Azure Data Factory, Synapse, Databricks, Microsoft Fabric. Data warehouse & lakehouse architecture. Strong SQL, Python, ETL/ELT knowledge. Power BI and data visualisation tools. Agile delivery experience. You’ll Have: 5+ years in Microsoft data 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 ❯

Python capabilities - minimum 2-3 years hands-on experience Comprehensive Data Engineering background - proven track record in enterprise data solutions Experience with ETL processes and data transformation , preferably using Databricks Strong foundation in Data Warehousing architectures and dimensional modeling Familiarity with batch processing from relational database sources Communication & Collaboration Skills of the Data Engineer Outstanding stakeholder engagement abilities across technical More ❯

position for a data engineering (data solutions) team in a large and diverse organisation and involvement in the full development lifecycle across varied solutions. - Extensive experience of using the Databricks platform for developing and deploying data solutions/data products (including ingestion, transformation and modelling) with high proficiency in Python, PySpark and SQL. - Leadership experience in other facets necessary for More ❯

position for a data engineering (data solutions) team in a large and diverse organisation and involvement in the full development lifecycle across varied solutions. - Extensive experience of using the Databricks platform for developing and deploying data solutions/data products (including ingestion, transformation and modelling) with high proficiency in Python, PySpark and SQL. - Leadership experience in other facets necessary for More ❯

analytical background, including Excel, MS Access, SQL, Power BI, ArcGIS Online, and FME. Knowledge and capability in a wide variety of additional analytical tools and ETL (e.g. Python, SQL, Databricks, Microsoft Flow, Azure Data Factory). Degree in Environmental Science, Data Management, Hydrology, or a related field. Experience with remote sensing technologies and water quality monitoring equipment is desirable. Experience More ❯

processes effectively Desirable Skills: GCP Professional Data Engineer certification Exposure to Agentic AI systems or intelligent/autonomous data workflows Experience with BI tools such as Looker Exposure to Databricks, Snowflake, AWS, Azure or DBT Academic background in Computer Science, Mathematics or a related field This is an opportunity to work in a forward-thinking environment with access to cutting More ❯

on experience with Terraform and Bicep, deploying Azure infrastructure with automation, templates, and CI/CD pipelines. Azure Expertise: Solid experience with Azure services such as Synapse, Data Factory, Databricks, DevOps, networking, and security best practices. Effective Communicator & Team Player: Ability to translate technical concepts for diverse audiences and collaborate effectively. Creative Problem Solver: Enjoy solving complex infrastructure challenges with More ❯

practices and tools (Azure DevOps preferred). Experience with microservices architecture, RESTful API development, and system integration. Prior experience in financial services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous. Advanced proficiency in Python, and familiarity with AI frameworks such as LangChain Skilled in designing and operationalising AI Ops frameworks within More ❯

both technical depth and client-facing credibility . Key Responsibilities: Lead the design and delivery of enterprise-scale data platforms using cloud technologies (Azure, AWS, GCP) and tools like Databricks, Snowflake, Synapse. Shape cloud migration and modernization strategies with a strong focus on DevOps practices. Architect scalable data models and robust ETL/ELT pipelines using industry-standard frameworks. Implement More ❯

the FCDO as part of our collaborative and technical consultancy service. Provide Engineering Data pipelines in Azure primarily using Azure Data Factory and also, to develop team capability, using Databricks and other tools within the Azure Cloud environment. Deliver data products to a range of business domains stakeholders and to teams across the department. Implement data design through good Data More ❯

modelling Proven ability to design and develop insightful Power BI reports Proficiency in writing complex DAX measures Experience working in an Azure environment Familiarity with Azure Data Factory or Databricks (bonus) Excellent stakeholder engagement and communication skills What's in It for You: Salary: £45,000-£55,000 (depending on experience) 25 days annual leave + your birthday off Pension More ❯

design and develop insightful Power BI reports Proficiency in writing complex DAX measure Experience with semantic modelling Experience working in an Azure environment Familiarity with Azure Data Factory or Databricks (bonus) Excellent stakeholder engagement and communication skills What's in It for You: Salary: £45,000-£55,000 (depending on experience) 25 days annual leave + your birthday off Pension More ❯