1 to 10 of 10 Data Lake Jobs in the Midlands

do things differently. We’re focused on our core values; using these we’ve seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion. This creates new opportunities for driven and skilled individuals to join one of … consecutive years Have practical experience designing and delivering using AWS or Azure such as: Azure SQL Data Warehouse, Azure Data Lake, AWS S3,AWS RDS,AWS Lambda or similar Have experience with Open Source big data products i.e. Hadoop Hive, Pig, Impala or … scripting languages such as Python, Java or similar Have expertise in data modelling, data warehouse design and data lake concepts and practices. Additional Information This role can be delivered in a hybrid nature from one of these offices: Belfast, Birmingham, Edinburgh, London, Manchester more »

Data Engineer – Azure A fast growing and innovative company are looking for a Data Engineer to join their team. They are a people focused company, who since 2021 have won 3 best place to work awards, representing a fantastic working environment. Based in either Derby or … the Chief Operating Officer, the candidate will play a crucial role in driving the company's digital initiatives forward. Key Responsibilities As a Data Engineer, you will play a pivotal role in supporting the delivery and evolution of the company's digital portfolio. Collaborating with a talented team … Microsoft Azure experience Proficiency in Azure data components such as Azure Data Factory, Azure SQL DB, Azure Data Lake, etc. Strong Python and SQL skills for data manipulation Experience with Apache Spark and/or Databricks. Familiarity with BI visualization tools more »

Azure is our main offering, but experience with AWS/GCP is a strong plus! Containerization: Docker and/or Kubernetes Bonus: Big Data processing (BI systems, Data lakes) Excited to learn more? 🤔 Feel free to reach out, and I'll happily share all the details. more »

what role you come in and do, we will have a plan targeted to help you advance. What you’ll do As a Data Architect will be required to analyse an array of product offerings and business requirements within Mercury, to create and own the overall data architecture spanning the Mercury product suite. You will work with the product development teams (e.g. Core, Web, Integration, Data Practice and product owners) to evaluate and identify solutions that meet the needs of the business and customers, utilising industry standard best practices, patterns and creative design … support of Microsoft cloud-based services and products including (but not limited to): Azure Fabric Azure Data Factory Azure Data Lake Store Azure Data Lake Analytics Azure Storage Azure AI Search Azure Cosmos DB Azure SQL, Azure DW, Synapse and Azure Analytics more »

The Role - This growing manufacturing company are increasing their IT function capability in the area of Data Analytics, having a need to improve visibility of data to help with business decisions, interpret results, identify trends and opportunities to ensure the business is achieving the most value … Ensure there is appropriate reporting consumption methods for the different data paths. Drive the BI strategy using the Microsoft data lake and Power BI data sets as the primary data source. Maintain the Power BI first approach. Build and lead a … elements of master data. Skills & Qualifications - Experience implementing enterprise BI and reporting solutions. Experience of Microsoft BI technology such as Microsoft Data Lake, Dataverse, Power BI, Azure Synapse with a Data First Approach. Able to own the analysis, design and delivery of reporting. Proficient formatting more »

and highly reliable Threat Detection Engineering platform. Key Responsibilities: Leverage cutting-edge technologies such as Splunk Enterprise Security , Exabeam Advanced Analytics (UEBA), Security Data Lakes (e.g., Data Bricks or Snowflake), and Cribl for log ingestion. Drive the adoption and implementation of Detection as Code principles. Leveraging … through code. Manage the full lifecycle of security tools and platforms, including evaluation, selection, implementation, and optimization. Develop and manage the security engineering data storage and compute budget, ensuring effective allocation of resources through management of the data lifecycle. Qualifications This role requires a great deal … the field. Additional Information Discover the Unexpected Experian is the worlds leading global information services company. Were passionate about unlocking the power of data in order to transform lives and create opportunities for consumers, businesses and society. For more than 125 years, weve helped economies and communities flourish more »

role in the Trust. The Trust has made a significant investment in BI because it recognises the impact that the intelligent use of data makes to the delivery of high quality and efficient health services. Having developed most of the infrastructure, our focus is now two-fold. Not … SQL Server Integration Services) Microsoft certified training in the use of Microsoft Azure Technologies (Azure Analysis Service, Data Factory, Data Lake Storage/Analytics, Databricks, Synapse, Purview, Fabric etc.) SharePoint development and administration Experience Essential Significant experience of developing and leading business intelligence solutions within … connections, Power Query etc.) In depth knowledge of latest Microsoft Cloud based technologies (Azure Analysis Service, Data Factory, Data Lake Storage/Analytics, Databricks, Synapse, Purview, Fabric etc.) Knowledge and application of Information Governance and principles of safe data management. Specialist knowledge more »

This Global Pharmaceutical Services provider are looking for a Data Engineer to work within their growing Business Intelligence technical service function. You will be supporting the technical development of their cloud data platforms, offering the options for near real time process reporting solutions. Client Details Global … when needed, accurate and understood. Key Technical Skills required: Extensive experience of working with Azure data platform technologies including Data Lake gen 2, Synapse, Analysis Services, Power BI Extensive experience of working with Azure Data Factory & Databricks Extensive SQL knowledge (Microsoft SQL Server … . Metadata management/Data quality Profile Extensive experience of working with Azure data platform technologies including Data Lake gen 2, Synapse, Analysis Services, Power BI Extensive experience of working with Azure Data Factory & Databricks Extensive SQL knowledge (Microsoft SQL Server more »

A fantastic opportunity has a risen with our Financial Services client, for a Head of Data Engineering to join the team. The Head of Data Engineering will be responsible leading a team of data engineers to architect, build, and maintain a new data … requirements. The Head of Data Engineering will be involved from the very beginning of the project and will have experience of Azure Datalake and Databricks. Key responsibilities for the Head of Data Engineering Define and drive the data engineering strategy and technical roadmap in … successful digital transformation initiatives involving data engineering and analytics. Significant hands-on Microsoft Azure stack experience is a must: Data Lake, Data Factory, Synapse, Databricks, Power BI Strong in delivering solutions at scale, on time and within budget. Strong background in data more »

Are you an experienced best in class data engineer with 5-10 years' experience? Do you have experience or capability for a senior data engineering role ? If so, we want to hear from you ! We are currently recruiting for 2 experienced data engineers who … can support the data manager implementing and maintaining an effective business intelligence technical services . Support cloud platform and reporting, assisting in design and developing a data acquisition strategy, reporting to customers, and maintaining datasets. Key Responsibilities are: Monitor and maintain ETL processes , ensure accurate reporting … can best be gathered. Skills and knowledge needed: Extensive experience of working with Azure data platform technologies including Data Lake gen 2, Synapse, Analysis Services, extensive Power BI experience Extensive experience of working with Azure Data Factory & Databricks Extensive SQL knowledge (Microsoft more »