26 to 50 of 336 Databricks Jobs in London

and internal policies. What We're Looking For: Solid experience in data engineering or backend data development. Strong experience with Azure data services (e.g., Data Factory, Dake Lake, Synapse, Databricks) and tools like dbt. Proficiency in SQL and Python, with a solid understanding of data modelling and transformation. Experience integrating data from enterprise systems (CRM, ERP, HRIS). Familiarity with More ❯

and internal policies. What We're Looking For: Solid experience in data engineering or backend data development. Strong experience with Azure data services (e.g., Data Factory, Dake Lake, Synapse, Databricks) and tools like dbt. Proficiency in SQL and Python, with a solid understanding of data modelling and transformation. Experience integrating data from enterprise systems (CRM, ERP, HRIS). Familiarity with More ❯

and internal policies. What We're Looking For: Solid experience in data engineering or backend data development. Strong experience with Azure data services (e.g., Data Factory, Dake Lake, Synapse, Databricks) and tools like dbt. Proficiency in SQL and Python, with a solid understanding of data modelling and transformation. Experience integrating data from enterprise systems (CRM, ERP, HRIS). Familiarity with More ❯

data from various sources. Ensure that pipelines are automated, scalable, and fault-tolerant to accommodate large volumes of data. Experience with Notebooks, Pipelines, and Workflows: Utilise Notebooks (e.g., Jupyter, Databricks) for data exploration, analysis, and reporting. Design and optimise data workflows to streamline key processing tasks, enhancing operational efficiency. API Integration & Data Ingestion: Integrate external and internal APIs to ingest More ❯

At Databricks, our core values are at the heart of everything we do. Creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and … and pitches to budget holders, showcasing a deep understanding of the Banking and Insurance domain. Be a role model within Field Engineering, be recognised as a leader, and exemplify Databricks' core principles. Collaborate with Field Engineering leaders to mentor and develop Solutions Architects and Senior SAs. Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops … seminars, and meet-ups. Work across the region to develop and implement best practices and efficient processes. Develop your internal network within Databricks to establish close relationships with key stakeholders as SME, products and Financial Services leaders. What we look for: Deep industry experience working in data and AI projects in Energy, Manufacturing or Utilities (10 years+) Experienced in complex 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 ❯

SQL skills, including data transformation and profiling. Experience building scalable production ETL/ELT pipelines. 1-2 years of hands-on experience with Azure services such as Data Factory, Databricks, Synapse (DWH), Azure Functions, and other data analytics tools, including streaming. Experience with Airflow and Kubernetes. Programming skills in Python (PySpark) and scripting languages like Bash. Knowledge of Git, CI More ❯

with designing efficient physical data models/schemas and developing ETL/ELT scripts Some experience developing data solutions in cloud environments such as Azure, AWS or GCP - Azure Databricks experience a bonus 30 minute video interview with the People & Operations Team 45 minute technical video interview with one of our Senior Data Engineers Final interview with our Partner, Head More ❯

aimed at maximizing value through data utilization. Knowled g e/Experience Expertise in Commercial/Procurement Analytics. Experience in SAP (S/4 Hana). Experience with Spark, Databricks, or similar data processing tools. Strong technical proficiency in data modeling, SQL, NoSQL databases, and data warehousing. Hands-on experience with data pipeline development, ETL processes, and big data technologies More ❯

aimed at maximizing value through data utilization. Knowled g e/Experience Expertise in Commercial/Procurement Analytics. Experience in SAP (S/4 Hana). Experience with Spark, Databricks, or similar data processing tools. Strong technical proficiency in data modeling, SQL, NoSQL databases, and data warehousing. Hands-on experience with data pipeline development, ETL processes, and big data technologies More ❯

junior colleagues, including line management and development of teams, where required. Essential Skills and Experience: Educated to degree level or have equivalent professional experience. Essential experience of MS Azure Databricks, Synapse, ADF and CI/CD Experience working with Database technologies such as SQL Server, and Data Warehouse Architecture with knowledge of big data, data lakes and NoSQL. Experience following More ❯

fit if you have: Expertise in Cloud-Native Data Engineering: 3+ years building and running data pipelines in AWS or Azure, including managed data services (e.g., Kinesis, EMR/Databricks, Redshift, Glue, Azure Data Lake). Programming Mastery: Advanced skills in Python or another major language; writing clean, testable, production-grade ETL code at scale. Modern Data Pipelines: Experience with More ❯

every day at Databricks. We are looking for a creative, execution-oriented Enterprise Account Executive to join the UKI team to maximise the phenomenal market opportunity that exists for Databricks within the Energy industry. Your mission will be to grow one of our most strategic energy customers. Experience selling to this sector is essential, as is experience in running large … complex multi-national accounts. Reporting to the Senior Director of Energy and Utilities in the UK, as a Enterprise Account Executive at Databricks you will come with an informed and compelling point of view on the Data, Analytics and AI space which will guide your successful strategy and together with both our teams and partners, allow you to provide exceptional …/annual usage and booking goals You will lead your team, customers and partners to identify impactful data and AI use cases whilst proving out their value on the Databricks Data Intelligence Platform You will implement the data and AI transformation goals of your customer through a combination of strategic partnerships, well-scoped professional services, training and targeted Executive Engagement More ❯

Azure ML, Cognitive Services) Solid understanding of SQL, REST APIs, and cloud data integration Familiarity with Python, R, or similar scripting languages Bonus points for experience with Azure Synapse, Databricks, or Power Apps Microsoft certifications (PL-300, DP-203, AI-900) are a plus Benefits : Salary up to around £60,000 depending on experience 10% annual bonus Pension with More ❯

Azure ML, Cognitive Services) Solid understanding of SQL, REST APIs, and cloud data integration Familiarity with Python, R, or similar scripting languages Bonus points for experience with Azure Synapse, Databricks, or Power Apps Microsoft certifications (PL-300, DP-203, AI-900) are a plus Benefits : Salary up to around £60,000 depending on experience 10% annual bonus Pension with More ❯

and data modelling; as well as healthcare technology and regulatory requirements (ISO13485, ISO27001) You have experience of managing data in Azure using tools such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics You have a good knowledge of Data Lake and Data Warehouse architectures You have experience implementing monitoring and logging for data pipelines You are collaborative, enjoy problem More ❯

and data modelling; as well as healthcare technology and regulatory requirements (ISO13485, ISO27001) You have experience of managing data in Azure using tools such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics You have a good knowledge of Data Lake and Data Warehouse architectures You have experience implementing monitoring and logging for data pipelines You are collaborative, enjoy problem More ❯

as an Azure Data Architect or Lead Data Engineer. Expertise in Microsoft Fabric, as well as in one or more of the following platforms: Azure Synapse Analytics and Azure Databricks, and supporting data technologies like Power BI, Microsoft Purview, Azure SQL Database, Azure Data Lake, etc. Excellent stakeholder engagement and communication skills. Able to consult, advise, architect and estimate project More ❯

and SQL. Proficiency with BI tools (e.g., Tableau, Power BI). Building and maintaining ETL/ELT pipelines and data models within data warehouses. Using cloud computing tools like DataBricks for AI/ML. Experience in model governance and documentation Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready More ❯

Studio). Strong Data Analysis skills and hands-on experience with SQL/Python for data interrogation. Working knowledge of Cloud-based data and analytics solutions (e.g., Microsoft Azure, Databricks, Informatica, PowerBI) and ETL/ELT technology (e.g., Informatica DEI). Proven ability to understand business processes, facilitate meetings with senior stakeholders, and translate business requirements into technical designs. Excellent More ❯

aimed at maximizing value through data utilization. Knowled g e/Experience Expertise in Commercial/Procurement Analytics. Experience in SAP (S/4 Hana). Experience with Spark, Databricks, or similar data processing tools. Stron g technical proficiency in data modelin g , SQL, NoSQL databases, and data warehousing . Hands-on experience with data pipeline development, ETL processes, and More ❯

aimed at maximizing value through data utilization. Knowled g e/Experience Expertise in Commercial/Procurement Analytics. Experience in SAP (S/4 Hana). Experience with Spark, Databricks, or similar data processing tools. Stron g technical proficiency in data modelin g , SQL, NoSQL databases, and data warehousing . Hands-on experience with data pipeline development, ETL processes, and More ❯

Data Warehouse, Amazon Redshift, or Google BigQuery Proficiency in creating visualizations using Power BI or Tableau Experience designing ETL/ELT solutions with tools like SSIS, Alteryx, AWS Glue, Databricks, IBM DataStage Strong analytical and technical skills Good communication skills, both verbal and written, with experience working closely with business users Experience in the hospitality industry is beneficial WHAT'S More ❯

and junior colleagues, including line management and development of teams, where required. Essential Skills and Experience: ·Educated to degree level or have equivalent professional experience. ·Experience of MS Azure Databricks ·Experience working with Database technologies such as SQL Server, and Data Warehouse Architecture with knowledge of big data, data lakes and NoSQL. ·Experience following product/solution development lifecycles using More ❯