1 to 25 of 195 Databricks Jobs in the UK excluding London

analytics methodologies such as attrition modelling, pay equity analysis, employee lifetime value, skills inference, or organisational network analysis. Familiarity with big data frameworks (Spark, Databricks, Dask) and cloud platforms (AWS, Azure, GCP). Knowledge of Snowflake and experience integrating with HR and business data. Familiarity with MLOps principles, CI/ ...

following technologies: Power BI Power Apps Blob storage Synapse Azure Data Factory (ADF) IOT Hub SQL Server Azure Data Lake Storage Azure Databricks Purview Power Platform Python ...

solving skills, with an ability to work both independently and collaboratively within multi-disciplinary teams Desirable Skills for the AWS Data Engineer: Experience with Databricks , Kafka , or Kinesis for real-time data streaming Knowledge of containerisation (Docker, ECS) and modern orchestration tools such as Airflow Familiarity with machine learning model ...

experience in data engineering, including designing and developing data pipelines for retrieval/ingestion/presentation/semantics in an Azure environment. Strong ADF, DataBricks, SQL, Python, Power BI Data acquisition from various data sources including Salesforce, API, XML, JSON, Parquet, flat file systems and relational data. Excellent team player ...

Senior Databricks Engineer - Banbury Hybrid - Salary £65-75K + Benefits Bibby Financial Services have an exciting opportunity available for a reliable Senior Databricks Engineer to join our team. You will join us on a full time, permanent basisand in return, you will receive a competitive salary … annum. About the role: As our Senior Databricks Engineer, you will operate within an Agile delivery environment, working closely with the Data Product Manager and Data Architect to ensure your team maintains a pipeline of delivery against the Backlog; providing vital insight from our wide-ranging dataset to support executive ...

degree in computer science, Engineering, Information Technology, or a related field • Relevant certifications in data engineering or cloud platforms (e.g., AWS, Azure, Google Cloud, Databricks) are a strong plus Technical Skills: • Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL) • Familiarity with data pipeline and workflow management tools ...

pyspark and SSIS Comfortable building out and administrating data models, ensuring that they are accessible and used appropriately, leveraging platforms such as Databricks and Power BI, and Microsoft Fabric Familiarity with data processing paradigms such as ETL/ELT, Kimball, Medallion Data Lakehouse Passionate about data and information with ...

exhibits good interpersonal skills. Able to prioritise, multi-task, and deliver at pace with an iterative mindset. Experience with modern data platforms such as Databricks or Snowflake is advantageous; LLM API experience is a bonus. Additional Information What’s in it for you?: Competitive salary that reflects your skills, experience ...

Azure). Expert-level SQL and database design (normalisation, indexing, query optimisation). Strong experience with ETL/ELT tools. E.g. Azure Data Factory, Databricks, Synapse Pipelines, SSIS, etc. Experience with Python, PySpark, or Scala for data processing. Familiarity with CI/CD practices. Experience with Data lake, Data warehouse ...

experience in data engineering roles (midsenior level) Hands-on expertise with Azure data services such as Data Factory, Synapse and Azure SQL Experience using Databricks and Python in data processing workflows Strong SQL skills and practical knowledge of dimensional modelling and warehouse design Familiarity with CI/CD approaches ...

data engineering roles (mid–senior level) Hands-on expertise with Azure data services such as Data Factory, Synapse and Azure SQL Experience using Databricks and Python in data processing workflows Strong SQL skills and practical knowledge of dimensional modelling and warehouse design Familiarity with CI/CD approaches for data ...

Code and Kubernetes for container orchestration, ensuring efficient deployments and robust system performance. Working within Azure, you'll integrate advanced analytics platforms like Databricks and build data pipelines using Python and PySpark to support large-scale processing. The position also involves optimising data models, delivering insights through Power ...

Proficient in SQL and experienced in data modelling within cloud data warehouses.* Familiarity with cloud platforms such as AWS or Azure.* Experience with Python, Databricks, or related data engineering tools beneficial.* Excellent problem-solving and analytical skills, with strong attention to detail.* Strong communication and collaboration abilities, with the ability ...

What you'll need to succeed Strong experience with MS Azure Cloud Dev/Ops and Data Lake design (dimensional modelling). Proficiency in Databricks open data lakehouse architecture in Azure. In-depth understanding of database management systems and ETL frameworks. Expertise in Power BI (Desktop, Report Builder, Service ...

reporting tools such as Power BI or equivalent platforms. Experience working with cloud and on-premise databases, including solutions like Google Cloud Platform, Snowflake, Databricks, or Amazon Redshift. A meticulous attention to detail and a logical, structured approach to work. The ability to prioritise effectively and manage multiple tasks under ...

into engineered, scalable systems Preferred Skills and Experience Certifications across AWS, Azure or Google Cloud Proven experience with data and AI platforms such as Databricks, Snowflake, Fabric or Elastic Prior involvement in digital transformation or AI native product development within enterprise settings Experience with graph theory, knowledge representation or distributed ...

Bring Strong experience as a Data Engineer in cloud and on-prem environments. Hands-on skills with Azure data services (ADF, Fabric, Databricks, Synapse). Proficiency in T-SQL and modern data modelling techniques. Understanding of GDPR/ISO27001 and data governance principles. Experience with Git, CI/ ...

reliability. Optimise data workflows for performance, cost efficiency, and maintainability using modern data-engineering tools and platforms (e.g., Azure Data Factory, AWS Data Pipeline, Databricks, Apache Spark). Support the integration of data into visualisation platforms and analytical environments (e.g., Power BI, ServiceNow). Ensure adherence to data governance, security ...

dimensional modelling standards, is essential to the role. Technical experience building and deploying models and reports utilizing the following tools: PySpark Microsoft Fabric or Databricks Power BI Git CI/CD pipelines (Azure DevOps experience preferred) An understanding of the structure and purpose of the Financial Advice and Wealth Management ...

practices, with a typical week split between time in the office and home working. Key Responsibilities: Work with Microsoft Azure Technologies (e.g., Data Factory, Databricks, Synapse) to orchestrate data loading and workflows and manage data pipelines. Maintain, support, and build data warehouses using Azure SQL Technologies Collaborate with analysts ...

distributed streaming systems. Solid understanding of SQL and data modeling. Experience with containerization (Docker) and orchestration (Kubernetes). Working knowledge of Flink, Spark, or Databricks for data processing. Familiarity with AWS services (ECS, EKS, S3, Lambda, etc.). Basic scripting in Python for automation or data manipulation. Secondary Skills Experience ...

Experience Strong leadership and relationship-building skills. Experience guiding or managing technical teams. Deep hands-on experience in Data Engineering using Microsoft Fabric, Azure Databricks, Synapse, Data Factory, and/or SQL Server. Expertise in SQL and Python for ETL/ELT development. Knowledge of data lakes, medallion lakehouse architecture ...

Experience with developing data features and associated transformation procedures on a modern data platform. Examples include (but not limited to) Azure Fabric, AWS Lakeformation, Databricks or Snowflake. Experience automating operations tasks with one or more scripting languages. Due to the nature of the project and the short turnaround required ...

core of their platform. Projects include forecasting, recommendation systems and classification tools. Key Responsibilities Build ML and GenAI solutions in Python, using Databricks, Kafka and AWS Deploy and maintain algorithms in a microservices environment Lead on automation, monitoring, version control and MLOps best practice Support knowledge sharing across ...

small, focused team, contributing directly to strategic data initiatives. Candidate Profile: The ideal candidate will have: Significant experience in Data Engineering , particularly with Azure, Databricks, and Delta Lake . Proficiency in Kubernetes, Infrastructure as Code, and Terraform . Strong understanding of Azure DevOps and software engineering best practices. A passion ...