126 to 150 of 1,853 Databricks Jobs in England

Impactful Projects : Design, manage, and deliver end-to-end data science and analytics projects aligned with business priorities. Model Development : Build, test, and deploy predictive and optimisation models using Databricks, Azure, and Python , incorporating best practices in MLOps and governance. Insight Generation : Translate complex datasets into accessible and actionable insights using Power BI and other visualisation tools. Stakeholder Collaboration : Partner … corporate initiatives. What You'll Need Essential Skills & Experience: Proven experience in data science, advanced analytics, or data engineering, with a track record of delivering measurable outcomes. Proficiency in Databricks, Azure, Python, SQL, and data visualisation using open source libraries. Experience with modern MLOps practices for deploying and maintaining models in production. Excellent communication skills - able to simplify technical concepts … visible, high-level impact Join a forward-thinking data team using modern tools in a cloud-native environment Flexible hybrid working with a supportive, inclusive culture Tools & tech: Azure, Databricks, Power BI, Python - continuously evolving Attractive benefits package: Competitive salary 7% Stakeholder Pension Plan 15% Asda Colleague Discount Free parking at Asda House, Leeds Clear opportunities for career growth and More ❯

Data Engineer - FinTech Company - Newcastle (Tech Stack: Data Engineer, Databricks, Python, Azure, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) I'm working with a leading Software House in the FinTech industry, based in Newcastle, who are looking to hire a talented Data Engineer .This is a fantastic opportunity to join a forward-thinking company where you'll play … working with data and delivering value to stakeholders. Strong proficiency in SQL, Python, and Apache Spark , with hands-on experience using these technologies in a production environment. Experience with Databricks and Microsoft Azure is highly desirable. Financial Services experience is a plus but not essential. Excellent communication skills, with the ability to explain complex data concepts in a clear and More ❯

more than 90 million passengers this year, we employ over 10,000 people. Its big-scale stuff and we’re still growing. Job Purpose With a big investment into Databricks and a large amount of interesting data this is the chance for you to come and be part of an exciting transformation in the way we store, analyse and use … engineering practices (e.g. TDD, CI/CD). · Experience with Apache Spark or any other distributed data programming frameworks. · Comfortable writing efficient SQL and debugging on cloud warehouses like Databricks SQL or Snowflake. · Experience with cloud infrastructure like AWS or Azure. · Experience with Linux and containerisation (e.g Docker, shell scripting). · Understanding Data modelling and Data Cataloguing principles. · Understanding of … end monitoring, quality checks, lineage tracking and automated alerts to ensure reliable and trustworthy data across the platform. · Experience of building a data transformation framework with dbt. · Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. What you’ll get in return · Competitive base salary · Up to 20% bonus · BAYE, SAYE & Performance share schemes · Flexible benefits More ❯

more than 90 million passengers this year, we employ over 10,000 people. Its big-scale stuff and we’re still growing. Job Purpose With a big investment into Databricks and a large amount of interesting data this is the chance for you to come and be part of an exciting transformation in the way we store, analyse and use … engineering practices (e.g. TDD, CI/CD). Experience with Apache Spark or any other distributed data programming frameworks. Comfortable writing efficient SQL and debugging on cloud warehouses like Databricks SQL or Snowflake. Experience with cloud infrastructure like AWS or Azure. Experience with Linux and containerisation (e.g Docker, shell scripting). Understanding Data modelling and Data Cataloguing principles. Understanding of … end monitoring, quality checks, lineage tracking and automated alerts to ensure reliable and trustworthy data across the platform. Experience of building a data transformation framework with dbt. Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. What you’ll get in return Competitive base salary Up to 20% bonus 25 days holiday BAYE, SAYE & Performance share More ❯

with the ability to engage technical and non-technical stakeholders alike. The Head of BI will work within a modern, cloud-based BI ecosystem, including: Data Integration: Fivetran, HVR, Databricks, Apache Kafka, Google BigQuery, Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST … API Advanced Analytics: Databricks (AI & Machine Learning) Governance & Infrastructure: Centralised Data Catalogue & Access Control (Okta) Job Scheduling & Monitoring (AWS, Splunk) Agile Data Engineering with centralised code repositories BI Data Portal: Power BI However this coexists with a legacy tech stack, which the head of BI will support the transition to the new architecture already in place. Qualifications/Education: Degree More ❯

with the ability to engage technical and non-technical stakeholders alike. The Head of BI will work within a modern, cloud-based BI ecosystem , including : Data Integration: Fivetran , HVR, Databricks , Apache Kafka, Google BigQuery , Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST … API Advanced Analytics: Databricks (AI & Machine Learning) Governance & Infrastructure: Centralised Data Catalogue & Access Control (Okta) Job Scheduling & Monitoring (AWS, Splunk) Agile Data Engineering with centralised code repositories BI Data Portal: Power BI However this coexists with a legacy tech stack , which the head of BI will support the transition to the new architecture already in place . Qualifications/Education More ❯

with the ability to engage technical and non-technical stakeholders alike. The Head of BI will work within a modern, cloud-based BI ecosystem , including : Data Integration: Fivetran , HVR, Databricks , Apache Kafka, Google BigQuery , Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST … API Advanced Analytics: Databricks (AI & Machine Learning) Governance & Infrastructure: Centralised Data Catalogue & Access Control (Okta) Job Scheduling & Monitoring (AWS, Splunk) Agile Data Engineering with centralised code repositories BI Data Portal: Power BI However this coexists with a legacy tech stack , which the head of BI will support the transition to the new architecture already in place . Qualifications/Education More ❯

translating these into technical deliverables. Motivated to expand technical skills. Desirable Experience with Microsoft BI Tools such as Power BI, SSRS & SQL Server. Experience with Azure Data Factory and Databricks (Python). Experience working with DevOps, IaC & CI/CD pipelines (e.g. Terraform and Databricks Asset Bundles). More ❯

translating these into technical deliverables. Motivated to expand technical skills. Desirable Experience with Microsoft BI Tools such as Power BI, SSRS & SQL Server. Experience with Azure Data Factory and Databricks (Python). Experience working with DevOps, IaC & CI/CD pipelines (e.g. Terraform and Databricks Asset Bundles). More ❯

collaboration with various stakeholders to ensure high-quality data solutions. The project needs a consultant who: Extensive Technical Expertise in Azure Data Services: Proven experience with Azure Data Factory, Databricks, Synapse Analytics, and Data Lake. Strong Leadership and Agile Mindset: Ability to lead data engineering teams, prioritise technical work alongside business needs, and drive continuous improvement through agile practices. Proficiency … teams, prioritising technical deliveries alongside business requirements. Agile mindset with proven capability in adapting to change and driving continuous improvement. Deep technical experience with Azure Data Services (Data Factory, Databricks, Synapse Analytics, Data Lake). Expert knowledge of SQL including T-SQL (queries, views, stored procedures, functions). Proven skills in integration and ETL design and delivery (SSIS, Azure Data More ❯

pipelines and infrastructure, who can implement processes on our modern tech stack with robust, pragmatic solutions. Responsibilities develop, and maintain ETL/ELT data pipelines using AWS services Data, Databricks and dbt Manage and optimize data storage solutions such as Amazon S3, Redshift, RDS, and DynamoDB. Implement and manage infrastructure-as-code (IaC) using tools like Terraform or AWS CloudFormation. … tools like Terraform or CloudFormation. Experience with workflow orchestration tools (e.g., Airflow, Dagster). Good understanding of Cloud providers – AWS, Microsoft Azure, Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in Agile environments with tools like Jira and Git. About Us We are Citation. We are far from your average service provider. Our colleagues bring their brilliant selves More ❯

in data architecture, data pipelines, data lakes, and DWH (on-premise and cloud) Proficient in Python (required), with working knowledge of SQL and Spark Hands-on with Azure and Databricks (GCP/AWS also valued) Skilled in data governance, ingestion/transformation, and metadata management Familiarity with tools like Airflow, dbt, Power BI, Tableau Exposure to machine learning or advanced … business value for senior stakeholders Team leadership, mentoring, and people development experience Excellent communicator and confident in high-stakes, multi-industry environments Bonus: Relevant certifications (e.g. Azure Data Engineer, Databricks) Benefits £80-90k base + up to 20% bonus + £5k annual corporate bonus Hybrid model: 2 days/week in our central London office Work from anywhere up More ❯

world business problems, eliminate technical roadblocks, and create measurable value. This role requires deep familiarity with modern data ecosystems. You'll leverage cloud data warehouses (CDWs) such as Snowflake, Databricks, and others to architect robust, scalable solutions. You’ll help customers harness the power of AI and large language models (LLMs)—including Domo’s Agent Catalyst framework—to build intelligent … agents, and prompt engineering for enhanced insights and automation; Working knowledge of database technologies (relational, columnar, NoSQL), e.g., MySQL, Oracle, MongoDB; Experience with modern cloud data warehouses (e.g., Snowflake, Databricks, BigQuery); Excellent organizational and multitasking skills across multiple sales cycles; Agile and adaptable to evolving customer needs and priorities; Creative problem-solver with a strategic, growth-oriented mindset; Strong communicator More ❯

reliable data movement and transformation. • Data Modelling using Kimball, 3NF or Dimensional methodologies • Utilize SQL and Python languages to extract, transform, and load data from various sources into Azure Databricks and Azure SQL/SQL Server. • Design and implement metadata driven pipelines to automate data processing tasks. • Collaborate with cross-functional teams to understand data requirements and implement appropriate solutions. … are some obvious required Skills and Experience we are going to be seeking out. For this role we'd be expecting to see: • Solid experience in Azure, specifically Azure Databricks and Azure SQL/SQL Server. • Proficiency in SQL and Python languages. • Hands-on experience in designing and building data pipelines using Azure Data Factory (ADF). • Familiarity with building More ❯

reliable data movement and transformation. • Data Modelling using Kimball, 3NF or Dimensional methodologies • Utilize SQL and Python languages to extract, transform, and load data from various sources into Azure Databricks and Azure SQL/SQL Server. • Design and implement metadata driven pipelines to automate data processing tasks. • Collaborate with cross-functional teams to understand data requirements and implement appropriate solutions. … are some obvious required Skills and Experience we are going to be seeking out. For this role we'd be expecting to see: • Solid experience in Azure, specifically Azure Databricks and Azure SQL/SQL Server. • Proficiency in SQL and Python languages. • Hands-on experience in designing and building data pipelines using Azure Data Factory (ADF). • Familiarity with building More ❯

real-world business problems, eliminate technical roadblocks, and create measurable value. This role requires deep familiarity with modern data ecosystems. You’ll leverage cloud data warehouses such as Snowflake, Databricks, and others to architect robust, scalable solutions. You’ll help customers harness the power of AI and large language models (LLMs) to build intelligent agents and automated workflows that accelerate … agents, and prompt engineering for enhanced insights and automation Working knowledge of database technologies (relational, columnar, NoSQL), e.g., MySQL, Oracle, MongoDB Experience with modern cloud data warehouses (e.g., Snowflake, Databricks, BigQuery) Excellent organisational and multitasking skills across multiple sales cycles Agile and adaptable to evolving customer needs and priorities Creative problem-solver with a strategic, growth-oriented mindset Strong communicator More ❯

warehouse technologies such as Azure Data Factory, Analysis Services, SQL server and Azure Synapse. Data Pipeline Creation: Build and optimize ETL/ELT data pipelines using Azure Data Factory, Databricks, or similar services to ensure data is properly ingested, transformed, and loaded into the data warehouse. Data Integration: Integrate data from multiple sources including internal databases, third-party systems, and … Maintain clear, detailed documentation of all data engineering processes, architectures, and workflows. Criteria Strong proficiency in SQL for data manipulation, querying, and optimization. Experience with Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and other Azure data services. Familiarity with Azure Blob Storage, Azure Data Lake, and data lake architectures. Experience working with data modelling, normalization, and star schema design More ❯

GCP Knowledge of data visualization tools (Tableau, Power BI) Experience with machine learning and data science applications Familiarity with open-source technologies and Data Platform Technologies like Quantexa, Palantir, DataBricks Knowledge of test automation frameworks Locations: Leeds (core location), with 3 days/week in the office Flexible hours and part-time options available—discuss with the team. Additional Information More ❯

performance data pipelines (ETL/ELT) to ingest, transform, and deliver data from diverse sources. Required Skills & Experience: Deep expertise in building and deploying data solutions using platforms like Databricks (Azure/AWS) , Microsoft Fabric , Azure Data Factory , and Azure Synapse . Solid experience with the Microsoft data stack —including SSIS , SSAS , and SSRS . A strong foundation in data More ❯

performance data pipelines (ETL/ELT) to ingest, transform, and deliver data from diverse sources. Required Skills & Experience: Deep expertise in building and deploying data solutions using platforms like Databricks (Azure/AWS) , Microsoft Fabric , Azure Data Factory , and Azure Synapse . Solid experience with the Microsoft data stack —including SSIS , SSAS , and SSRS . A strong foundation in data More ❯

performance data pipelines (ETL/ELT) to ingest, transform, and deliver data from diverse sources. Required Skills & Experience: Deep expertise in building and deploying data solutions using platforms like Databricks (Azure/AWS) , Microsoft Fabric , Azure Data Factory , and Azure Synapse . Solid experience with the Microsoft data stack —including SSIS , SSAS , and SSRS . A strong foundation in data More ❯

performance data pipelines (ETL/ELT) to ingest, transform, and deliver data from diverse sources. Required Skills & Experience: Deep expertise in building and deploying data solutions using platforms like Databricks (Azure/AWS) , Microsoft Fabric , Azure Data Factory , and Azure Synapse . Solid experience with the Microsoft data stack —including SSIS , SSAS , and SSRS . A strong foundation in data More ❯

DevOps practices (CI/CD, version control, testing) Experience with streaming technologies (e.g., Kafka, Kinesis) Exposure to deploying AI/ML models in production environments Knowledge of tools like Databricks, BigQuery, or Microsoft Fabric More ❯

using both on-premises and cloud-based technologies (Azure, AWS, or GCP). You'll design scalable data architectures, including data lakes, lakehouses, and warehouses, leveraging tools such as Databricks, Snowflake, and Azure Synapse. The ideal candidate will have a deep technical background in data engineering and a passion for leading the development of best-in-class data solutions. You More ❯

Data Engineer - Leading Fashion Company - London (Tech Stack: Data Engineer, Databricks, Python, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) We're recruiting on behalf of a leading fashion brand based in London that's recognised for combining creativity with cutting-edge technology. They're on the lookout for a talented Data Engineer to join their growing data team. More ❯