1 to 25 of 254 Permanent Data Lake Jobs

Are you an experienced Data Engineer ? Do you have a passion for Data and experienced with the Microsoft stack ? Do you have SQL, Microsoft Fabric and Azure skills ? If so I have a fantastic new role with my client, with offices in Edinburgh and Glasgow and … its hybrid working. You will be part of a team that works in an Agile environment, contributing to the companies wider data strategy. Responsibilities include: * Modernising existing key business solutions by reverse engineering and rearchitecting for Azure. * Be involved in designing and implementing systems to effectively handle large … Fabric or its related technologies: * Azure Databricks * Azure Synapse Analytics * Azure DW * Azure SQL DB * Azure Data Factory * Azure Data Lake * Experience of taking different business applications and use cases and supporting their needs (query patterns etc) within appropriate data solutions, whilst maintaining more »

Data Engineer – London - £100,000 Description My client, a prominent figure in the insurance industry are on the hunt for a Data Engineer to join there ever growing Data team. The right individual will have a passion for Data as well as … being able to communicate to non-technical stakeholders. The right Data Engineer will ideally have experience working with Azure however my client are open to seeing people equally AWS/GCP. Responsibilities Designing and implementing scalable and efficient data storage solutions on Azure. Building and maintaining … a Data Engineer, preferably on the Azure platform. Strong knowledge of Azure data services, such as Azure Data Lake Storage, Azure Databricks, and Azure SQL Database. Proficiency in SQL and programming languages like Python or Scala. Experience with data modeling and more »

ESSENTIAL as PySpark is used heavily. You will be tested on PySpark Azure Synapse - ESSENTIAL as is used heavily Spark Azure Data Lake/Data Bricks/Data Factory Be happy to act as a lead and mentor to the other permanent Azure … ESSENTIAL as PySpark is used heavily. You will be tested on PySpark Azure Synapse - ESSENTIAL as is used heavily Spark Azure Data Lake/Data Bricks/Data Factory Be happy to act as a lead and mentor to the other permanent Azure … Purview or another governance tool experience. Familiar with building Catalogs and lineage Lead Azure Data Engineer | PySpark (Python), Synapse, Data Lake | Tech for Good/Charity 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 »

Lead Data Engineer A brand-new and exciting opportunity has arisen for a Lead Data Engineer with extensive experience in Azure, SQL, ETL and mentoring/managing engineers to join the UK's Largest Charity based remote. The Lead Data Engineer will be intrumental … engineering function. If you are currently a Lead Data Engineer who has a strong experience in Azure (ADF, Databricks, Data Lake), SQL, ETL and mentoring/managing a team who is looking for a step up then this would be perfect for you! Skills that … are required for the Lead Data Engineer are: Experience in Azure (ADF, Databricks and Data Lake) Experience leading/mentoring/managing a team and keen to manage a bigger team Strong data engineering principles working with SQL, ETL Pipelines and Cloud infrastructure more »

Job Title: Data Platform Administrator Location: Edinburgh (hybrid) Company: Primis is currently partnered with a leading technology company dedicated to delivering innovative solutions that empower businesses in the UK. Their team is comprised of talented individuals who thrive in fast paced environments and are passionate about pushing the … boundaries of technology and creating meaningful impact. Position Overview: We are looking for an Data Platform Administrator, someone who can deliver operational excellence and stability in our data platforms that underpin the services we deliver for our customers. As well as the day-to-day you … database administration team. Essential skills : Experienced in design, implementation and day-to-day running of enterprise level data platforms, data lake concepts and data handling Solid monitoring and tuning skills in highly available transactional or API-centric environments Working with large-scale, uptime more »

s biggest brands, including Uber, Major League Baseball, NHS, Disney, Standard Chartered, Mediacom and British Airways. Our services support the whole organisation with data-driven performance insights for leaders, training for managers, wellbeing tools for all employees, as well as access to a global network of accredited mental … hiring process more accessible, just let us know when you apply, or email talent@unmind.com. The Role – Analytics Engineer The core mission of data analytics is to provide actionable insights to all Unmind Teams that drive product and business decisions that build the best version of Unmind. As … within reports that surface relevant trends. In this role you'll get to: Own - You will take the architectural lead for the key data models in the company, and guide your team in finding the right balance between technical excellence and delivery of value that brings you closer more »

Job Title: Sr. Data Architect Location: Cheshire, United Kingdom Work Mode: Hybrid Package: Competitive + Benefits Start Date: ASAP Permanent Role: Yes Responsibilities: Help customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB, NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift Deliver … on-site technical engagements with customers. This includes understanding customer requirements, and creating packaged Data & Analytics service offerings Proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development … or a related field Advance experience of IT platform implementation in a technical and analytical role Good level of experience of Data Lake/Hadoop platform implementation Good level hands-on experience in implementation and performance tuning Hadoop/Spark implementations Experience Apache Hadoop and the Hadoop more »

unparalleled educational experience. By attracting and retaining the finest educators worldwide, our client ensures an environment where excellence thrives. Job Purpose As the Data Platform Engineer overseeing the Data Warehouse and analytics infrastructure, you will shape the backbone of our client's business analysis and reporting … capabilities, both now and into the future. They are seeking a visionary with a proven track record of architecting enterprise-level data ecosystems, someone who thrives on pushing the boundaries of what's possible in data manipulation. Your expertise will ensure data is not … Remarkable experience with Development and maintenance of data pipeline and ETL processes using Azure data Factory, Azure Data Lake and Azure Databricks. Exceptional experience developing codes, testing for quality assurance, administering Azure Databricks platform and exposure to Unity Catalog. Exposure of Performance Tuning more »

reporting and analysis using various systems, primarily Power BI. Additionally, you'll support the MI Manager in building and overseeing the reporting and data infrastructure for the Next Customer Service Online Operations across our contact centers. What you'll be doing: Take ownership of report implementation from understanding … through to development and implementation. Support project with expertise and knowledge of reporting systems advising of best practices and optimum set up of data structures. Create, analyse and then provide accurate management information/reporting and forecasting as required by the department/business on a daily/… Experience of working with Contact Centre Metrics. Experience of change management. Experience in working with Microsoft Azure Platform eco-system ( Azure data lake , Azure data factory, Azure Synapse Analytics , Data bricks , Power BI etc) would be highly desirable. Experience in Data more »

LEAD DATA ARCHITECT All candidates must be located in the UK Are you looking for a company where YOUR VOICE is heard? Where you can MAKE A DIFFERENCE ? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE … teamwork and transparency. We hold each other accountable and always have each other’s back! About the role: We are seeking a Lead Data Architect to oversee the design and implementation of our organization's data architecture. The ideal candidate will have a strong understanding of … governance Experience leading teams of data architects and engineers Strong understanding of data warehousing and data lake principles and technologies Experience with data governance frameworks and tools Excellent communication and collaboration skills Strong problem-solving and analytical skills Diversity more »

expertise and knowledge of: API and Microservices architecture Structured and unstructured databases and usage patterns Data analytics architecture (e.g. Data Lake) Programming paradigms and approaches (e.g. object-oriented) Process automation approaches and tooling (e.g. DevOps, AIOps) Mainframe architecture (nice to have, but not must) Experience more »

expertise and knowledge of: API and Microservices architecture Structured and unstructured databases and usage patterns Data analytics architecture (e.g. Data Lake) Programming paradigms and approaches (e.g. object-oriented) Process automation approaches and tooling (e.g. DevOps, AIOps) Mainframe architecture (nice to have, but not must) Experience more »

Integration methodologies and tools API and Microservices architecture Structured and unstructured databases and usage patterns Data analytics architecture (e.g. Data Lake) Programming paradigms and approaches (e.g. object-oriented) Process automation approaches and tooling (e.g. DevOps, AIOps) Experience in agile engineering and tooling support An agile more »

Integration methodologies and tools API and Microservices architecture Structured and unstructured databases and usage patterns Data analytics architecture (e.g. Data Lake) Programming paradigms and approaches (e.g. object-oriented) Process automation approaches and tooling (e.g. DevOps, AIOps) Experience in agile engineering and tooling support An agile more »

Integration methodologies and tools API and Microservices architecture Structured and unstructured databases and usage patterns Data analytics architecture (e.g. Data Lake) Programming paradigms and approaches (e.g. object-oriented) Process automation approaches and tooling (e.g. DevOps, AIOps) Experience in agile engineering and tooling support An agile more »

Integration methodologies and tools API and Microservices architecture Structured and unstructured databases and usage patterns Data analytics architecture (e.g. Data Lake) Programming paradigms and approaches (e.g. object-oriented) Process automation approaches and tooling (e.g. DevOps, AIOps) Experience in agile engineering and tooling support An agile more »

Integration methodologies and tools API and Microservices architecture Structured and unstructured databases and usage patterns Data analytics architecture (e.g. Data Lake) Programming paradigms and approaches (e.g. object-oriented) Process automation approaches and tooling (e.g. DevOps, AIOps) Experience in agile engineering and tooling support An agile more »

expertise and knowledge of: API and Microservices architecture Structured and unstructured databases and usage patterns Data analytics architecture (e.g. Data Lake) Programming paradigms and approaches (e.g. object-oriented) Process automation approaches and tooling (e.g. DevOps, AIOps) Mainframe architecture (nice to have, but not must) Experience more »

expertise and knowledge of: API and Microservices architecture Structured and unstructured databases and usage patterns Data analytics architecture (e.g. Data Lake) Programming paradigms and approaches (e.g. object-oriented) Process automation approaches and tooling (e.g. DevOps, AIOps) Mainframe architecture (nice to have, but not must) Experience more »

expertise and knowledge of: API and Microservices architecture Structured and unstructured databases and usage patterns Data analytics architecture (e.g. Data Lake) Programming paradigms and approaches (e.g. object-oriented) Process automation approaches and tooling (e.g. DevOps, AIOps) Mainframe architecture (nice to have, but not must) Experience more »

expertise and knowledge of: API and Microservices architecture Structured and unstructured databases and usage patterns Data analytics architecture (e.g. Data Lake) Programming paradigms and approaches (e.g. object-oriented) Process automation approaches and tooling (e.g. DevOps, AIOps) Mainframe architecture (nice to have, but not must) Experience more »

expertise and knowledge of: API and Microservices architecture Structured and unstructured databases and usage patterns Data analytics architecture (e.g. Data Lake) Programming paradigms and approaches (e.g. object-oriented) Process automation approaches and tooling (e.g. DevOps, AIOps) Mainframe architecture (nice to have, but not must) Experience more »

expertise and knowledge of: API and Microservices architecture Structured and unstructured databases and usage patterns Data analytics architecture (e.g. Data Lake) Programming paradigms and approaches (e.g. object-oriented) Process automation approaches and tooling (e.g. DevOps, AIOps) Mainframe architecture (nice to have, but not must) Experience more »

expertise and knowledge of: API and Microservices architecture Structured and unstructured databases and usage patterns Data analytics architecture (e.g. Data Lake) Programming paradigms and approaches (e.g. object-oriented) Process automation approaches and tooling (e.g. DevOps, AIOps) Mainframe architecture (nice to have, but not must) Experience more »