and analytics Desired experience: Worked with Python 3.9+ Familiar with Python test automation Experience with SQL and Timeseries databases Familiar with Parquet, Arrow, Airflow, Databricks Experience with cloud AWS services, such as S3, EC2, RDS etc Quality engineering best practice and tooling including TDD, BDD This is an inside IR more »
Greater London, England, United Kingdom Hybrid / WFH Options
Source Technology
Unlock the potential of metadata within the data, exploring innovative methods to extract valuable insights. Experience Required: Proficient data engineering experience Experience with Azure Databricks and building ETL pipelines Package: Up to £120,000 Competitive Bonus Market leading benefits Hybrid working How to Apply: If you’re interested, submit your more »
engineers onshore to create exceptional product experiences. You do not need to have fintech experience for this role knowledge would be beneficial Experience in Databricks or Kafka is advantageous. Equal Opportunities: We are committed to promoting equality of opportunity for all employees and job applicants. In line with the Equality more »
with Python coding skillsYou have a good knowledge of AWSYou're collaborative, enjoy problem solving and working with others to overcome technical challengesExperience with Databricks, PostgreSQL, Amazon RedShift or MLflow would be great but not essentialWhat's in it for you:As a Software Engineer you will earn a competitive more »
Version 1 has celebrated over 26 years in the Technology industry and continues to be trusted by global brands to deliver IT solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat more »
offers competitive compensation and ample room for professional growth. Key Responsibilities: Engineering: Design, develop, and maintain data pipelines using Azure Data Factory (ADF) and Databricks, ensuring the seamless flow of data across various systems and platforms. BI Reporting: Utilize Power BI to create visually appealing and insightful reports and dashboards … a strong background in building and maintaining data pipelines and Power BI reports. Skills: Proficiency in Azure services, including Azure Data Factory (ADF) and Databricks, is essential. Experience with Power BI is required, along with a solid understanding of SQL and data modelling principles. Mindset: Strong analytical and problem-solving more »
and marketing purposes around pricing, promotions, recommendations, Computer Vision, NLP, forecasting and media performance optimisation Experience with cloud platforms such as Snowflake, AWS and DataBricks Excellent problem solving skills to deliver best in class data science products and solutions for end clients Exposure to cloud based analytical platforms such as … Databricks, Snowflake, Google BigQuery etc. more »
goalsYou will lead your team, customers and partners to identify impactful big data and AI use cases whilst proving out their value on the Databricks Data Intelligence platformYou will implement the big data and AI transformation goals of your customer through a combination of strategic partnerships, well scoped professional services … your account/territory planUnderstanding of how to identify all key uses cases and buying centres in an opportunity to increase the impact of Databricks in an organisationExperience of following robust sales methodologies and process, e.g. account planning, MEDDPICC, Value Selling and accurate forecastingBenefits:Private medical, dental and cash refunds … and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded more »
content platform. This consultancy is known for their technical expertise in the market, and they work with some of the most innovative tools including Databricks, Snowflake, AWS, Google Cloud Platform (GCP), Azure and more! The role is based in London, with 3 days in the office and it is offering … least one cloud platform including AWS, GCP and/or Azure Data modernisation and data ingestion experience Experience leading at least one implementation of Databricks and/or Snowflake is required Data Lake and data storage design experience for both structure and unstructured data Experience working for a consultancy or more »
Lead Product Manager London - Hybrid 2/3 days a week £115,000 - £125,000 + amazing benefits About The Company We have partnered with an organisation that is truly helping people make better informed and clearer financial decisions to more »
position. Required Experience and Skills: Proven track record in deploying emerging data technology stacks such as MS Fabric and AI. Expertise in MS Azure, Databricks, MS Fabric, and related technologies. more »
with A/B testing platforms Essential: Knowledge of querying and transforming data using SQL Preferred : Familiarity with cloud based analytical platforms such as Databricks Familiarity with SaaS ecommerce platforms You might not tick all the boxes, and thats okay, we still encourage you to apply. Here at Brompton we 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 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 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 »
as an Azure Solution Architect in Microsoft Data and AI. Extensive, hands-on, current experience in Azure data and AI technologies, like Fabric, Synapse, Databricks, Spark, Python, GitHub, Data Factory, Azure Data Lake, Power BI, Cognitive Services, Purview, etc. Strong data analysis and modeling skills. High-level understanding of Azure more »
activities Lunch allowance for use within our subsidized onsite canteen Must have skills Working knowledge of Azure DevOps (Git, build and release pipelines), Python, databricks, and snowflake as a requirement. Nice to haves are: PowerBI, and Attunity Replicate Significant information technology and/or application development, database development and/ more »
system connectors via Azure Data Factory.SQL and Python programming skills, along with a good understanding of Machine Learning techniquesExperience using data platforms such as Databricks and SnowflakeExperience of scripting languages such as Javascript, R, Powershell or VBScriptExperience implementing RPA tools such as UiPath and Automation AnywhereExperience of Alteryx Server administrationExperience more »
with Python.Experience building scalable, high-quality data models that serve complex business use cases.Knowledge of dbt and experience with cloud data warehouses (BigQuery, Snowflake, Databricks, Azure Synapse etc).Proficiency in building BI dashboards and self-service capabilities using tools like Tableau and Looker.Excellent communication skills and experience in managing stakeholder more »
Business Intelligence products and solutions Strong ability to coach, guide and motivate junior team members Deep understanding of the Microsoft technology stack, specifically PowerBI, Databricks & Azure Cloud Proficiency in SQL, strong understanding of ETL and ELT processes Strong communication skills, ability to translate complex messages into concise, easy-to-understand more »
Azure data systems experience. Proficiency in traditional Data Warehouse tools. Understanding of Dimension Modelling. Strong SQL skills. Knowledge of Azure Data Lake, Data Factory, Databricks, and Functions. Essential Experience Support for Data Warehouses. Building Azure data pipelines. Agile methodology experience. Problem-solving skills. Awareness of industry trends. Stakeholder engagement. Desired more »
experience in DWBI, Big Data, Cloud Technologies • Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks • Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark more »
QualificationsWhat you’ll need:• Technical expertise in tools spanning: data warehousing, ETL, internal visualisation and analytics. Good examples are Snowflake, GCP, Azure Analytics, Sagemaker, Databricks, Tableau, PowerBI, Looker, Quicksight, Airflow, astronomer.io, Alteryx, Collibra.• Hands on experience and\or a detailed and deep understanding of the workflow and approaches of:o more »
Experience of an Agile project environment.• Ideally exposure and experience of data and analytics products and services (SQL and NoSQL databases, data lake, Synapse, Databricks, PowerBI).• Strong leadership and communication skills with both business leaders, subject matter experts and technical partners.• Act as the focal point for other staff more »
options. Skills & experience required: Strong hands-on experience in Data Warehouse and Data Lake technologies preferably around Azure Extensive experience in implementing solutions around DataBricks, Azure Data Factory, Azure SQL, CosmosDB, Cognite Services, Storage Accounts, Azure Service bus, Azure Functions, Event Hub, Synapse and Azure Purview. Excellent understanding of Microsoft more »
