26 to 50 of 381 Databricks Jobs in England

need from you... § Experience with as much of the tech we work with most often: o Cloud platforms: Azure, AWS o Data platforms: Databricks, Snowflake, Fabric o BI & viz: Power BI, Tableau o Gen AI: ChatGPT, Copilot, Gemini o Apps: Power Platform o Source control & CI/CD: GitHub, Azure ...

dimensional data modelling techniques (e.g., star schema, slowly changing dimensions), with the ability to guide others. Hands-on experience with Microsoft Fabric or Azure Databricks, including exposure to Delta Lake and lakehouse architectures. Familiarity with CI/CD practices and Git-based version control. Nice to haves: Prior experience ...

transformation programmes and technical strategy. Technology environment Typical platforms and technologies include: Cloud platforms such as **AWS, Azure or Google Cloud** Data platforms including **Databricks, Snowflake or BigQuery** Python and modern ML frameworks Generative AI, LLM integration and RAG pipelines MLOps tooling and modern ML lifecycle management. The profile Experience ...

related quantitative discipline , or equivalent industry experience * Strong experience with cloud data platforms such as Azure, AWS or GCP * Experience working with BigQuery, Databricks or similar large-scale data platforms * Proven experience building and maintaining data pipelines and scalable data infrastructure * Strong Python programming skills for data engineering and automation ...

optimisation. Skills & Experience Required Proven experience as a Data Engineer or in a similar role. Strong Azure background, ideally including Data Factory, Data Lake, Databricks, Synapse (or similar). Solid understanding of SQL, Python, ETL/ELT, data warehousing, and data modelling. Experience integrating multiple systems into a centralised platform. ...

while maintaining delivery excellence Technical Experience: Proficiency in Python, R, or PySpark Experience with cloud data platforms such as AWS, Azure, Google Cloud, or Databricks Knowledge of DevOps and MLOps principles for deploying AI solutions into production environments Experience working with Agentic and Generative AI platforms or large language models ...

would be beneficial but is by no means essential. Interested candidates must have experience in a similar role with MS Azure Data Platforms, Synapse, Databricks or other Cloud platforms such as AWS, GCP, Snowflake etc. Key Responsibilities will include; Design, implement, and optimize end-to-end solutions using Fabric components ...

storage, transformation and warehousing Experience interacting with APIs and cloud services programmatically Experience building and maintaining cloud data warehouses (e.g. Redshift, Snowflake or Databricks) Familiarity with Git-based source control Experience working in an Agile delivery environment Strong analytical and problem-solving skills The ability to communicate technical concepts clearly ...

that delivers enterprise‐scale AI solutions to major organisations across Financial Services, Energy, Healthcare, Retail, and Manufacturing. Working alongside global partners such as Anthropic, Databricks, AWS, OpenAI, and Microsoft, the team focuses on designing and deploying advanced AI systems that solve complex real‐world problems with speed, clarity, and measurable ...

Data Architect - Databricks £120,000-£125,000 base + benefits London (Hybrid: 2-3 days per week onsite) We're looking for an experienced Data Architect who can shape and deliver large-scale analytics platforms using Databricks and modern Lakehouse principles. This role is ideal for someone who enjoys working … early stages of their data transformation journeys. What You'll Bring Extensive experience designing and delivering end-to-end data platforms using Databricks , with a strong focus on Lakehouse Architecture , Delta Lake, and scalable data engineering patterns. A solid background in data analytics, consulting, or a similar technical discipline. Strong ...

Contributing to data modelling, analytics and visualisation Collaborating with engineers, analysts and stakeholders in Agile delivery teams Tech stack SQL Python Azure or AWS Databricks/Spark/PySpark Data warehouses/lakehouse platforms CI/CD and modern engineering practices We're looking for someone who Has experience building ...

Collaborating with engineering teams and stakeholders to solve complex technical challenges. Technology exposure Typical environments include: Python, SQL and modern data engineering tooling Spark, Databricks and distributed data platforms AWS, Azure and Google Cloud Modern data lake and data warehouse architectures Who we’re keen to speak with Active ...

input into bids Technology environment You don’t need to know everything, but experience across areas such as: • Azure data ecosystem (Data Factory, Synapse, Databricks, Azure ML, Azure OpenAI) • Power BI • SQL Server • Cloud data architectures • API/integration design Nice to have exposure to: • Microsoft Fabric • Multi-cloud environments ...

data governance and engineering standards The successful candidate will ideally have: Experience with at least one cloud platform (Azure, AWS, or Snowflake) Exposure to Databricks or similar modern data processing tools Working knowledge of SQL and some experience with Python An understanding of data warehousing concepts A strong desire ...

performance, reliability, automation, and scalability Confidence working cross-functionally and owning technical decisions Exposure to large-scale analytics platforms such as Snowflake, BigQuery, or Databricks Why Join? Work on cutting-edge AI and data technology at meaningful scale Join a fast-growing, profitable business recognised by the Financial Times ...

engineering or a similar production-focused role Strong Python (Pandas) and SQL skills Experience building and maintaining data pipelines Hands-on experience with Spark, Databricks or Delta Lake/Lakehouse architectures Familiarity with cloud data platforms, particularly within Azure environments Good understanding of data modelling, storage formats and performance optimisation ...

with data formats such as JSON and XML Some experience or awareness of ETL or middleware tools (e.g., Azure Data Factory, SSIS, Boomi and DataBricks) Skills Attention to detail with a focus on data accuracy and system reliability Eagerness to learn and develop within the integration and data space Logical ...

will need experience using AI environments and good verbal and written communication skills, including presentation skills, as well as experience with the following: - Databricks and Power BI - Python and TSQL - Extract, Transform, Load (ETL) - Analysis and design - Test Automation and Refactoring - Unit Testing and mocking - Agile & Scrum development methodologies ...

/Kinesis, streaming ETL). Knowledge of data quality frameworks (Great Expectations, Deequ) and data lineage/catalog (Atlas, Alation, Collibra). Exposure to Databricks or EMR for advanced Spark workloads. Certifications: AWS Solutions Architect/Data Analytics/DevOps Engineer. Prior experience leading multi-team programs with offshore/ ...

years + experience Hands-on engineering experience with Microsoft Azure (Logic Apps, Function Apps, API Management, Managed Identities). Experience with Microsoft Fabric, Databricks, Azure Synapse/Data Lake/Data Factory. Strong Power Platform experience (Power Automate, Power Apps). Proven experience building Power BI datasets, models, and reports. ...

Data Architect - Databricks - Hybrid (London) - up to £125,000 I am working with a high-growth consultancy at the forefront of modern data engineering and AI. This is a place where architects shape real data strategy, influence enterprise-level decision-making, and build world-class Databricks lakehouse platforms for some … scale, and working directly with clients to bring modern data platforms to life, you will thrive here. You Will Work With Architecting and implementing Databricks Lakehouse solutions across ingestion, processing, storage, governance and analytics Designing scalable, modern data platforms for structured + unstructured data Translating business needs into robust technical ...

into production-ready platforms • Solving complex data challenges across highly secure and technically demanding environments Technology exposure Typical environments include: • Python and SQL • Spark, Databricks and distributed data processing platforms • AWS, Azure and Google Cloud • Modern data lake, lakehouse and warehouse architectures Who we’re keen to speak with Active ...

pipelines (Azure DevOps, GitHub Actions) specifically tailored for analytics, data science, and trading teams. Hands-on experience deploying apps, data pipelines (Azure Data Factory, Databricks), ML model training environments, event streaming (producers/consumers), and auto-trading solutions. Azure Cloud & IaC Mastery: Deep experience architecting and managing ...

level in a relevant IT or data field Expertise in designing and implementing data pipelines using Azure services (Data Factory, Data Storage), Spark, and Databricks Strong knowledge of data modelling, database design, and enterprise data architecture Experience with ETL/ELT frameworks and data integration patterns using Python or PySpark ...

Extract, Load, Transform) Data Modeling Strong Technical Skills Required Data Integration & Ingestion Data Manipulation & Processing GitHub, GitHub Actions, Azure DevOps Azure Data Factory Databricks SQL Database Azure Synapse Stream Analytics AWS Glue Apache Airflow AWS Kinesis Amazon Redshift SonarQube PyTest Optional/Nice to Have Experience managing projects or running ...