17 of 17 Permanent Databricks Jobs in the East Midlands

demand ambitious innovation and thought leadership. The Role Design, develop, and maintain Azure-based data pipelines and ETL solutions. Work with Azure Data Factory, Databricks, Synapse, and Data Lake to support data integration, migration, and analytics requirements. Collaborate with stakeholders to understand business needs, troubleshoot data issues, and ensure secure ...

Consultancy Services in the United Kingdom is seeking a Data Engineer to design, develop and maintain Azure-based data pipelines, leveraging Azure Data Factory, Databricks, Synapse and Data Lake to support data integration, migration and analytics. You will collaborate with stakeholders to translate business needs into reliable, scalable data solutions ...

analysis. You will have experience in a data engineering role, ideally with practical experience or the ability to upskill in cloud services like Azure, Databricks and ESRI , as well as excellent proven proficiency, SQL and Python . Ideally you would have a familiarity with developing pipelines which support Analysts ...

analysis. You will have experience in a data engineering role, ideally with practical experience or the ability to upskill in cloud services like Azure, Databricks and ESRI , as well as excellent proven proficiency, SQL and Python. Ideally you would have a familiarity with developing pipelines which support Analysts ...

driven delivery. What You'll Take On: Joining the BIS domain, you will leverage tools such as Azure stack (Azure Data Factory, Azure Datalake), Databricks and PowerBI to innovate and streamline workflows to provide valuable data for the business . Working as part of a product team, you will develop ...

successful in this role, you will need the following:Proven experience designing and developing comprehensive reports and dashboards using Tableau, Power BI, Snowflake and Databricks, applying data visualisation best practices to ensure clarity, accuracy and accessibility.Strong understanding of data structures, relationships and cardinality, with the ability to design effective reporting ...

successful in this role, you will need the following: Proven experience designing and developing comprehensive reports and dashboards using Tableau, Power BI, Snowflake and Databricks, applying data visualisation best practices to ensure clarity, accuracy and accessibility. Strong understanding of data structures, relationships and cardinality, with the ability to design effective ...

SaaS) for data-intensive solutions Experience designing, implementing, and migrating data-intensive applications to Azure Cloud Experience designing, configuring, and optimising Azure data services - Databricks, Data Factory, Synapse, Data Lake, Database, and Batch services Ability to design, implement, and troubleshoot end-to-end data pipelines Experience configuring App Gateway, IaaS ...

cross‐domain consistency at scale. Partnering with engineering teams to shape physical schemas, optimise performance, and guide workload placement across cloud platforms (AWS, Snowflake, Databricks). Influencing senior stakeholders across Product, Controls, Architecture, and Engineering to align on business rules, semantic definitions, and strategic priorities. Some other highly valued skills ...

design, implement and maintain reports and dashboards that analyze customer contact trends and categories. You will leverage Tableau, Power BI, Snowflake and Databricks to deliver timely insights and drive performance. The role requires strong data modeling, stakeholder collaboration and the ability to translate business needs into actionable analytics. #J ...

Implement Data Solutions**:o Design & Build scalable pipelines (Batch and real-time) using cloud-native tools/frameworks (DIHOP, DIHOC, AWS Glue, DBT, Snowflake, Databricks).o Apply architectural patterns for data lakes, streaming, and batch processing.o Exposure to cloud technologies – Snowflake, Redshift, Apache Flink and Apache Kafka.**Technical POCs ...

Implement Data Solutions:Design & Build scalable pipelines (Batch and real-time) using cloud-native tools/frameworks (DIHOP, DIHOC, AWS Glue, DBT, Snowflake, Databricks).Apply architectural patterns for data lakes, streaming, and batch processing.Exposure to cloud technologies – Snowflake, Redshift, Apache Flink and Apache Kafka.Technical POCsTechnical assessment of Cloud data technologies ...

Data Science and Analytics SolutionsExpertise in SQLExpertise in data and analytics platforms, leveraging a range of data mining and data visualization tools such as Databricks, PySpark, Tableau etc.Bachelor's Degree in Engineering/Computer Science/Statistics/Mathematics or other relevant fieldsPreferred qualifications, capabilities, and skills:Experience ...

engineering, aligning data solutions with compliance standards. The role involves creating architecture artifacts, designing scalable data solutions with cloud technologies like Snowflake and Databricks, and collaborating with solution architects. This hybrid position offers a salary of £450 - £500 per day, commensurate with experience. #J-18808-Ljbffr ...

data science products across commercial marketing, supply chain and healthcare modelling. You will shape opportunities into data science requirements, build ML models, deploy in Databricks, collaborate with engineering and MLOps, and communicate insights to stakeholders while maintaining data security and governance. #J-18808-Ljbffr ...

stretch opportunities, encouraging learning across disciplines and setting a culture of accountability, psychological safety and continuous improvement. Own and deliver the roadmap across the Databricks platform, analytics capability and Oracle/PostgreSQL database estate, balancing strategic investment, operational demand and technical debt. Drive modern engineering practice across the data function … with enough hands-on credibility to review a design and challenge an approach. Practical experience with a public cloud lakehouse or modern data platform; Databricks and Spark experience is an advantage. Solid grounding in relational databases at scale, ideally including Oracle and/or PostgreSQL. Real experience of DevOps practice ...

evaluate different model types (classification, forecasting, regression GBMs, MLPs). Define suitable accuracy metrics, baselines and experiments. Build scalable solutions using Python, SQL, Databricks and PySpark. Create automated Databricks workflows and deploy through Asset Bundles. Structure codebases using Git, testing and peer review. Work with engineering and MLOps teams … development practices. Experience translating business requirements into analytical solutions. Strong stakeholder-management and communication skills. Desirable skills A postgraduate qualification in a numerate subject. Databricks notebooks, workflows and Declarative Automation Bundles (AKA Asset Bundles). Spark or PySpark. Training machine learning models in Databricks. Time-series forecasting and classification models. ...