10 of 10 Databricks Jobs in the East Midlands

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 ❯

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 ❯

including coding and testing for ingesting wrangling transforming and joining data from various sources. About the role The ideal candidate should be adept in ETL tools like Informatica Glue Databricks and DataProc with strong coding skills in Python PySpark and SQL. You will have expertise in data warehousing solutions such as Snowflake BigQuery Lakehouse and Delta Lake is essential including More ❯

SQL, indexing, relational/dimensional modelling, data dashboards. Building/optimising data pipelines and integrations across cloud platforms. Any cloud platforms experience would be helpful including: such as Snowflake, Databricks, BigQuery, Azure SQL. Working closely with key stakeholders including data architects, analysts, testers and managers. Working across the full SQL development life-cycle including: design, development, documentation and testing. Advantageous More ❯

Deep expertise in SQL and Python Experienced with advanced analytics techniques including modelling, and segmentation Strong visualisation skills including experience with Tableau Experience with cloud-based data pipeline architectures (Databricks) and platforms (AWS) Familiarity with Git-based source control methodologies, including branching and pull requests Excellent communication and presentation skills with the ability to engage non-technical audiences Proven track More ❯

designing and implementing database structures Ability to create and maintain conceptual, logical, and physical data models Familiarity with data warehousing and ETL processes in Azure Data Factory and Azure Databricks Knowledge of industry best practices for data modelling and database design Ability to collaborate with cross-functional teams to gather and analyse data requirements Experience in performance tuning and optimization More ❯

to deliver against the company's strategic objectives. We have a highly capable Microsoft Azure based AI environment with hundreds of users leveraging a collection of integrated services including Databricks, AzureML, Dataiku, DSVMs and Azure AI Services. The technology stack is continually evolving and will be adapted to stay current and suit the changing requirements of the business. You will More ❯

Job Title: Databricks Architect Location : Nottingham Contract : Perm Recruiter: Noaman Hussain About the role Boots and the No7 Beauty company recognise the value of data as a strategic asset and have invested in creating an independent Data Office. Our data office supports the business with data platforms, management, and usage in the business to lead commercial value and achieve strategic … science and analytics community within Boots. We're looking for someone to make the next step in their career and join us as a Platform Architect focusing on our Databricks technology offerings. Platform Architecture is a broad discipline so we are looking for candidates from a range of backgrounds from technical to architectural. As Databricks Architect you will: Ensure our … Databricks offering supports projects and teams in delivering value from data. Lead the definition, design and implementation of new capabilities within Databricks Work with other Solution Architects in the team to ensure new requirements are cost-effective, deliverable and supportable. Work with technology and engineering partners and with internal teams to deliver platform capabilities, allowing us to maximise the value More ❯

Join our client in embarking on an ambitious data transformation journey using Databricks, guided by best practice data governance and architectural principles. To support this, we are recruiting for talented data engineers. As a major UK energy provider, our client is committed to 100% renewable energy and sustainability, focusing on delivering exceptional customer experiences. It is initially a 3-month … week being based in their Nottingham office, this is negotiable. It is a full-time role, 37 hours per week. Accountabilities: * Develop and maintain scalable, efficient data pipelines within Databricks, continuously evolving them as requirements and technologies change. * Build and manage an enterprise data model within Databricks. * Integrate new data sources into the platform using batch and streaming processes, adhering … and Skills: * Extensive experience of Python preferred, including advanced concepts like decorators, protocols, functools, context managers, and comprehensions. * Strong understanding of SQL, database design, and data architecture. * Experience with Databricks and/or Spark. * Knowledgeable in data governance, data cataloguing, data quality principles, and related tools. * Skilled in data extraction, joining, and aggregation tasks, especially with big data and real More ❯

We're undertaking a fast paced data transformation into Databricks at E.ON Next using best practice data governance and architectural principles, and we are growing our data engineering capability within the Data Team. As part of our journey we're looking for a data architect to help bring our vision to life to design and review data models, iterate on … practice. A strong attention to detail and a curiosity about the data you will be working with. A strong understanding of Linux based tooling and concepts. Strong experience with Databricks and/or Spark. Experienced with data governance, data cataloguing, data quality principles, and associated tools. Understanding of data extraction, joining, and aggregation tasks, especially on big and real-time More ❯