/Cosmos) Knowledge of data governance and modern concepts e.g., data mesh and data lake houses Knowledge of data science and ML platforms e.g., Databricks, Vertex, Fabric Applicants must be within commutable distance of Llandysul for 3 days a week working in office (working 2 days a week at home more »
and data and information systems design Experience with data management, database management systems, data services (including APIs), and enterprise data platform technologies (e.g. Fabric, Databricks, Snowflake, etc.) Experience architecting data-centric solutions at a conceptual, logical and physical level Experience in architecting, designing and implementing solutions on AWS and Microsoft more »
have programming experience in SQL and Python. PySpark and/or R programming skills are desirableExperience with Azure Cloud Services, particularly Azure Data Factory, Databricks, SQL server/SQL databases, and Storage Accounts. Experience with Azure DevOps would be beneficialWorking experience in designing and developing ETL data pipelinesWorking experience in more »
alongside other benefits. To be successful in this role you will have. Previous experience working in a Data Engineering role. Excellent understanding of Azure Databricks Experience creating data pipelines using Azure Data Factory Experience working with Azure Data Lake storage. Good working knowledge of other Azure cloud services and technologies more »
an organization who are committed to utilizing the latest Microsoft technologies! Requirements: Hands-on experience with Azure Data Factory Hands-on experience with Azure Databricks Excellent SQL and T-SQL skills Visualisation experience using Power BI and use of DAX Experience of working in Agile teams Excellent communication and stakeholder more »
An industry-leading organisation are looking for an experienced Senior Data Engineer who is well-versed in Databricks, PySpark and SQL to join their growing Data Engineering team. This role can be largely remote, with some travel to their Central London Head Office, likely around 2 times per month. This … Data Engineer to mentor and lead the Data Engineering team, undertaking a wide variety of technical work. Your primary focus will be working with Databricks - you will be building data pipelines in Databricks, coding in PySpark, and supporting internal applications as they are moving away from a legacy application into … encourage you to provide thought leadership, and to innovate and experiment with new technologies to deliver benefits to the business. Requirements Excellent skills in Databricks and Pyspark Excellent experience with SQL and T-SQL programming Experience designing, developing and maintaining data warehouses and data lakes Knowledge of Azure technologies including more »
An industry-leading organisation are looking for an experienced Senior Data Engineer who is well-versed in Databricks, PySpark and SQL to join their growing Data Engineering team. This role can be largely remote, with some travel to their Central London Head Office, likely around 2 times per month. This … Data Engineer to mentor and lead the Data Engineering team, undertaking a wide variety of technical work. Your primary focus will be working with Databricks - you will be building data pipelines in Databricks, coding in PySpark, and supporting internal applications as they are moving away from a legacy application into … encourage you to provide thought leadership, and to innovate and experiment with new technologies to deliver benefits to the business. Requirements Excellent skills in Databricks and Pyspark Excellent experience with SQL and T-SQL programming Experience designing, developing and maintaining data warehouses and data lakes Knowledge of Azure technologies including more »
Birmingham, West Midlands, West Midlands (County), United Kingdom Hybrid / WFH Options
Experis
Azure Head of Data Engineering Salary- £90,000 - £110,000 + Excellent benefits Location - Birmingham/Hybrid Key skills - Azure - Databricks - Data factory - Data Lakes - Synapse - Modelling - Agile Role purpose: We are actively seeking a dynamic professional to play a pivotal role in the organisation and contributing to the exciting … business reporting requirements. You will be responsible for overseeing all aspects of data engineering, from strategy to implementing cutting-edge technologies like Microsoft and Databricks and will enjoy being hands-on. Collaborating with leaders in the business, Analytics, Data Governance, Data Science and AI, you will be instrumental in reshaping … hands-on. Collaborate with cross-functional teams to understand requirements and translate them into technical solutions. Architect and implement data platforms using Microsoft and Databricks technologies to support analytics, AI, machine learning, and other data-driven applications. Work with colleagues to establish and enforce best practices for data architecture, data more »
Data Mart. Utilize Vector Databases, Cosmos DB, Redis, and Elasticsearch for efficient data storage and retrieval. Demonstrate proficiency in programming languages including Python, Spark, Databricks, Pyspark, SQL, and ML Algorithms. Implement Machine Learning models and algorithms using Pyspark, Scikit Learn, and other relevant tools. Manage Azure DevOps, CI/CD … pipelines, GitHub, and Kubernetes (AKS) for efficient software development and deployment. Implement ML/OPS solutions using Azure ML, Databricks MLFlow, and LLMOps for streamlined Machine Learning operations. Ensure data governance and data cataloging standards are maintained, utilizing tools such as Collibra and Talend Data Catalogue. Collaborate with stakeholders to … Cloud environments, Azure Data Lake, Azure Data Factory, Microservices architecture. Experience with Vector Databases, Cosmos DB, Redis, Elasticsearch. Strong programming skills in Python, Spark, Databricks, Pyspark, SQL, ML Algorithms, Gen AI. Knowledge of Azure DevOps, CI/CD pipelines, GitHub, Kubernetes (AKS). Experience with ML/OPS tools such more »
Manchester, North West, United Kingdom Hybrid / WFH Options
Adria Solutions
high-quality data outcomes via modern data sourcing, integration and modelling techniques. Youll gain exposure to a wide range of modern technology (e.g. Snowflake, Databricks, Spark) and be continually learning. Requirements of the Data Engineer: Strong experience with data analysis, data modelling (Kimball) and governance, with excellent analytical and problem more »
City of London, London, United Kingdom Hybrid / WFH Options
Concept Resourcing
salesforce projects. Key Responsibilities: Architecture, modelling and leadership skills Strong Azure data skills, including: Azure Data Factory V2, Azure Data Lake Storage V2, Azure Databricks, Azure Function Apps& Logic Apps, Azure Stream Analytics, Azure Resource Manager skills (Terraform, Azure Portal, Az CLI and Az PowerShell) Strong PySpark, Delta Lake, Unity more »
undergoes a complete greenfield re-architecture from the ground up in Microsoft Azure. The Tech you'll be playing with: Azure Data Factory Azure Databricks PySpark SQL DBT What you need to bring: 1-3 year's experience in building Data Pipelines SQL experience in data warehousing Python experience would more »
with internal senior stakeholders and board members to help design business strategy. Skills & Qualifications Strong knowledge of Azure Cloud Data platform, experience working with Databricks, Azure Data Factory and SQL Server. Experience of Python and Terraform would be beneficial. Strong stakeholder management and great communication skills to build upon and more »
with internal senior stakeholders and board members to help design business strategy. Skills & Qualifications Strong knowledge of Azure Cloud Data platform, experience working with Databricks, Azure Data Factory and SQL Server. Experience of Python and Terraform would be beneficial. Strong stakeholder management and great communication skills to build upon and more »
with internal senior stakeholders and board members to help design business strategy. Skills & Qualifications Strong knowledge of Azure Cloud Data platform, experience working with Databricks, Azure Data Factory and SQL Server. Experience of Python and Terraform would be beneficial. Strong stakeholder management and great communication skills to build upon and more »
with internal senior stakeholders and board members to help design business strategy. Skills & Qualifications Strong knowledge of Azure Cloud Data platform, experience working with Databricks, Azure Data Factory and SQL Server. Experience of Python and Terraform would be beneficial. Strong stakeholder management and great communication skills to build upon and more »
or improvements are applied. About you First and foremost, you will have a strong technical background with hands on experience using Microsoft Azure, including Databricks, Data Factory and Synapse. You’ll need to have a strong understanding of data ingestion, extraction, and transformations, and used Python or Pyspark. This business more »
Birmingham, England, United Kingdom Hybrid / WFH Options
Xpertise Recruitment
wider organisation using the tech you think is required! Skills desired/what you will learn: Microsoft Azure Azure SQL Microsoft Fabric Delta Lake, Databricks and Spark Statistical Modelling Azure ML Studio Python and familiarity with libraries and frameworks for data analysis and machine learning (e.g., TensorFlow, sci-kit-learn more »
team members. Requirements: experience as a Data Engineer, preferably in the fintech or related industry. proficiency in Azure services, including Azure Data Factory, Azure Databricks, and Azure SQL Database. communication skills with the ability to effectively engage with stakeholders at all levels. experience in gathering and documenting business requirements. in more »
Knowledge of SQL for accessing and processing data (PostgreSQL preferred but general SQL knowledge more important) Experience using the latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn) Delivering insights using visualisation tools or libraries (Javascript preferred) Experience building and deploying solutions to more »
dataKnowledge of SQL for accessing and processing data (PostgreSQL preferred but general SQL knowledge more important)Experience using the latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn)Delivering insights using visualisation tools or libraries (Javascript preferred)Experience building and deploying solutions to more »
What are we looking for? Essentials Experience building high quality Business Intelligence products and solutions Good understanding of the Microsoft technology stack, specifically PowerBI, Databricks & Azure Cloud Proficiency in SQL, good understanding of ETL and ELT processes Strong communication skills, ability to translate complex messages into concise, easy-to-understand more »
platform (Tableau, Power BI, Qlik, etc.) Familiarity with predictive analytics and AI, e.g. machine learning Working knowledge of data platforms such as Snowflake and Databricks; ML platforms such as Azure ML, Amazon SageMaker, Google Vertex, etc; as well as R and/or Python Familiarity with web technologies such as more »
offer you exposure to the latest technologies. We are looking for a senior Data Engineer who has solid Python skills as well as Pyspark, DataBricks and SQL, as well as Data Modeling, and Azure Data Factors . Azure Devops would be a distinct advantage. Strong communication and business facing skills more »
Developer or similar roles DAX, Power Query, SQL Strong grasp of data modelling and database concepts Understanding of data visualisation methodologies Experience with Azure & Databricks will be a nice to have Senior PowerBI Developer - PowerBI, London Markets, SQL more »
