1 to 25 of 333 Databricks Jobs

A global boutique (re)insurance broker are looking for an experienced Azure Data Engineer to join their growing team, to act as the lead Engineer on the support and development of their brand-new next-generation data platform. This is more »

notebooks, type-checking, functional programming, PyTest, Pandas, SciKit, PyTorch, CI/CD, and Git Experience with Docker, Kubernetes, and cloud platforms such as AWS, Databricks, Snowflake Experience visualizing data using Plotly and Matplotlib In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon more »

We are seeking a passionate and driven Junior SQL Data Engineer to join our team. As a Junior SQL Data Engineer, you will work closely with our data engineering and analytics teams to develop, optimize, and maintain SQL databases and more »

We are seeking a passionate and driven Junior SQL Data Engineer to join our team. As a Junior SQL Data Engineer, you will work closely with our data engineering and analytics teams to develop, optimize, and maintain SQL databases and more »

a huge part in ensuring we're taking full advantage of the data we currently capture and building out our brand new Azure platform (Databricks, Power BI) to further our capabilities. There has never been a more exciting time to join us! Reporting to the BI Reporting Team Leader, you more »

What can you expect as a Senior Data Engineer - SQL Azure/Data Factory/Databricks/Python/Azure DevOps Working for a respected Microsoft Gold Partner that will help you gain Microsoft certifications; Joining a rapidly expanding and innovative organisation with exciting plans for 2024, that will give … or more of the following Azure data services (ADS): Azure Data Factory, Azure Data Lake Store and Azure Data Lake Analytics with uSQL, Azure Databricks, Azure SQL DB and Azure SQL DW/Azure Synapse Analytics, Azure Analysis Services with DAX, etc Power BI data visualization (Power BI Desktop, Power more »

Data Factory, Azure Event Hubs, Azure Data Lake Storage, Azure Function Apps, Azure Synapse Analytics, AWS Glue, AWS S3, AWS Lambda Functions, AWS Redshift, Databricks, Snowflake, Google Big Query, Alteryx, SSIS, Informatica. Understanding of data warehouse and data lake principles. Demonstrable data modelling capabilities using either Kimball, Inmon or Data more »

development, data warehousing, data lake creation, and data movement. Utilizing Azure data and analytics services, including but not limited to Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Stream Analytics, and Azure Synapse Analytics. A solid foundation in data engineering, data science, and product development, encompassing experience in both more »

Continuity processes and procedures. The Data Platform Engineer (Azure) will have the following: Understanding and detailed knowledge of Microsoft Azure DevOps, ITIL, Azure Synapse, Databricks, PowerBI, Data Factory, HD Insights, Python Sparks, and a strong IT service background. Administration of Windows Domains and Windows Server technologies Strong administration of Azure more »

to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create data pipelines on more »

to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create data pipelines on more »

development, data warehousing, data lake creation, and data movement. Utilizing Azure data and analytics services, including but not limited to Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Stream Analytics, and Azure Synapse Analytics. A solid foundation in data engineering, data science, and product development, encompassing experience in both more »

data processing and integration. Collaborating cross-functionally to translate complex data requirements into actionable technical solutions that drive business objectives. Leveraging Microsoft Azure and Databricks to architect robust data solutions, prioritizing performance optimization for enhanced operational efficiency. Conducting data modeling, profiling, and quality assessments to uphold the integrity and reliability more »

management, governance, data & modelling lifecycles (ML Ops). Seek to improve model efficiency, performance, and scalability Microsoft Technology Stack experience sought (Azure Data Lake, Databricks, Azure ML, Power BI), and capabilities of programming in and understanding R & Python. You will also likely have: A passion for problem-solving and innovation more »

developer who wants to continue to excel using the latest Data technologies. The role is primarily focused around building and maintaining existing pipelines into Databricks but then also created some awesome dashboards and reports using Power BI. The successful applicants will be helping to really utilise the power of data … extensive career development plans which are built specifically around each individual and their aspirations. Required skills: ADF; ability to build pipelines from scratch Azure Databricks Power BI; Ability to build reports from scratch Stakeholder management This is a great opportunity to join outstanding organisation who pride themselves on being one … in touch ASAP. Send across your CV to t.shahid@nigelfrank.com or alternatively, give me a call on 0191 3387551. Keywords: Azure Data Factory, Azure Databricks, Databricks Lakehouse, MS Power BI, Power BI, Spark, Delta Lake, T-SQL, DevOps, ETL, Data Modelling, DAX, Data Warehousing, London more »

etc. Knowledge of Azure Data Factory/GCP Cloud Data Fusion , Microsoft Azure Machine Learning or GCP Cloud ML Engine , Azure Data Lake , Azure Databricks or GCP Cloud Dataproc . Familiarity with big data technologies and distributed computing frameworks, such as Hadoop, Spark, or Apache Flink. Experience scaling an “API 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 »

Cognitive Services. Confidence with utilising other forms of AI in a business setting, including but not limited to LLMs and Generative AI. Use of Databricks for model development and deployment. You’ll thrive if you have: Commercial Acumen: We are a small team, and to grow we require every individual more »

follows: Commercial Financial Experience (Ideally within the last 2 years) Data Engineering Data Intelligence Azure services, including; Azure Datalake Azure SQL Azure Data Factory Databricks MS Fabric Also; BI Expert Excel Expert SQL Expert Data Visualisation If this sounds like something you would be interested in discussing further, please apply more »

or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis Strong visualisation skills including experience with Tableau Familiarity with Databricks and PySpark for data manipulation and analysis Familiarity with Git-based source control methodologies, including branching and pull requests A self-starter, passionate about converting more »

challenges your customers face and how you can help them. You’ll bring wide experience of the data ecosystem, including: numerous data platforms e.g. Databricks; data modelling approaches; public cloud services including AWS and Azure; a deep knowledge and focus on security and privacy and their applications on data platform more »

LLM access via API Experience in delivering solutions to production via Continuous Integration/Continuous Delivery. Experience with MS Azure stack and/or Databricks Experience with Docker Knowledge and experience of people data landscape . Experience in healthcare or pharmaceutical industries. more »

data solutions from the earliest discovery phases of projects through prototyping, architectural design and delivery. You will be working with Azure tools such as Databricks, Data Factory as well as Hadoop to create big data environments which, in turn, will help businesses to gain greater insight into their big data … BI/Analysis Services/DAX Data Modelling/Data Warehouse Theory Nice to Have Azure Modern Data Platform Services (Data Lake, Data Factory, Databricks, Synapse) Azure DevOps/CI/CD/YAML/ARM/Terraform MSBI Traditional Stack (SQL, SSAS, SSIS, SSRS) Azure Automation/PowerShell Azure more »

least 18 months. My client is seeking experienced Azure Data Engineers for a stakeholder-facing project. This role will have particular emphasis on Azure, Databricks and DevOps. Our client is in the consultancy sector but does not have a preference for previous experience within a consultancy role. There is also … experience and confidence to speak up when several teams can be involved in delivering the project. There is a massive emphasis on Pyspark and Databricks for this particular role. Technical Skills Required: Azure (ADF, Functions, Blob Storage, Data Lake Storage, Azure Data Bricks) Databricks Spark Delta Lake SQL Python PySpark more »

and administration of AWS data platform including security areas and have working knowledge of tools like Hive and Pyspark. Good to have: Experience in Databricks platform. Insurance domain knowledge (Pensions & Annuity.) Understand the data platform solutions like data lake, data warehouse, data marts. AWS solution architect certifications. Rewards & Benefits: TCS more »