1 to 25 of 132 Databricks Jobs in the City of London

such as Looker or PowerBI. Excellent communication and stakeholder management skills. Google Cloud Professional certifications. Experience in alternative cloud data platforms such as Snowflake, Databricks, Azure, or AWS. Understanding of DevOps/DataOps practices, CI/CD pipelines, and monitoring tools. Academic background in Computer Science, Mathematics, or a related More ❯

and Experience Degree (BSc, MSc, or PhD) in Computer Science, Mathematics, or a related field. Familiarity with alternative cloud and data platforms such as Databricks, Snowflake, Azure, or AWS. Knowledge of DevOps/DataOps methodologies and experience with CI/CD pipelines. Understanding of monitoring, logging, and troubleshooting in cloud More ❯

projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python, Spark More ❯

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 More ❯

with new tools and uses of data. 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 More ❯

develop future contacts. Skills & Experiences Proven expertise in cloud platforms such as Azure, AWS, or Google Cloud. Knowledge of cloud-native data services (e.g., Databricks, Snowflake). Understanding of data modelling (relational, NoSQL) and ETL/ELT processes. Experience with data integration tools (e.g., Kafka, Talend) and APIs. Familiarity with More ❯

Computer Science, Mathematics, or a related field Familiarity with BI tools such as Looker for reporting and dashboarding Exposure to other environments such as Databricks, Snowflake, AWS, Azure, or DBT Understanding of observability, monitoring, and logging in GCP GCP Professional Data Engineer certification (or similar) What’s on Offer Competitive More ❯

align:justify"- -Programming Skills: Proficiency in Python, data analytics, deep learning (Scikit-learn, Pandas, PyTorch, Jupyter, pipelines), and practical knowledge of data tools like Databricks, Ray, Vector Databases, Kubernetes, and workflow scheduling tools such as Apache Airflow, Dagster, and Astronomer. -GPU Computing: Familiarity with GPU computing, both on-premises and More ❯

Databricks Architect (Contract) - Greenfield Data Platform Location: Hybrid working (London) Duration: 12-month initial contract Are you a visionary Databricks Architect with a passion for building cutting-edge data platforms from the ground up? Do you thrive on shaping strategy and driving technical excellence in a greenfield environment? Our client … advanced analytics to AI/ML. We are looking for a hands-on architect who can translate business needs into robust, scalable, and secure Databricks solutions. The Role: As our Databricks Architect, you will be instrumental in defining and delivering our new data strategy and architecture. This is a greenfield … project, meaning you'll have the exciting challenge of building the entire Databricks Lakehouse Platform from scratch. You will provide critical technical leadership, guidance, and hands-on expertise to ensure the successful establishment of a scalable, high-performance, and future-proof data environment. Phase 1: Strategic Vision & Blueprint Data Strategy More ❯

principles, and analytics best practices Experience working cross-functionally with strong communication skills Nice to have: Python, AWS/GCP/Azure, Medallion Architecture, Databricks, and knowledge of data governance or experience in high-growth environments This is a fantastic opportunity to join a purpose-led business in a high More ❯

organisations, through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. More ❯

PyTorch (preferred) and/or TensorFlow. Hands-on experience with deploying machine learning models in production using cloud platforms, especially Microsoft Azure ML/Databricks ML Flow. Experience in integrating CI/CD pipelines for ML models. A proactive, hands-on approach to building, iterating, and owning solutions end-to More ❯

systems Qualifications & Skills: x5 + experience with Python programming for data engineering tasks Strong proficiency in SQL and database management Hands-on experience with Databricks and Apache Spark Familiarity with Azure cloud platform and related services Knowledge of data security best practices and compliance standards Excellent problem-solving and communication More ❯

Proven experience delivering AI and data solutions in a Microsoft Partner or specialist technology consultancy environment Strong technical proficiency across Azure Synapse , Data Lake , Databricks , Power BI , Microsoft Fabric , and relevant AI services (e.g. Azure OpenAI, ML Studio) Deep understanding of modern data architectures, data governance, and operationalisation of AI More ❯

pricing (e.g., price elasticity, revenue management, dynamic pricing). Experience with data visualization tools (e.g., Tableau, PowerBI) and data management platforms (e.g., SQL, Snowflake, Databricks). A passion for building high-performing teams and creating a collaborative, data-driven culture. Excellent written and verbal communication skills, with the ability to More ❯

Background Experience with Microsoft Azure data tools — especially Data Factory and Synapse. Familiarity with Microsoft Fabric will be beneficial. Otherwise, experience with platforms like Databricks or Snowflake is also valued. Proficiency in Infrastructure as Code, preferably with Terraform, and understanding of CI/CD pipelines in a data engineering context. More ❯

the Data Platforms Engineering team, utilising cutting-edge Cloud technology within Microsoft Azure to enhance our Enterprise Data Lakehouse platform. Using tools such as Databricks, Python, and Terraform , you'll design and develop key platform functionality and data analytics solutions. Expect a hands-on experience where you'll contribute significantly More ❯

have a strong understanding of various financial products and the trading life cycle. The role Advanced proficiency in SQL (T-SQL, PL/SQL, Databricks SQL) Knowledge of Kimball data modelling methodology Experience using scripting languages such as Python, PowerShell etc. Experience with Microsoft Azure. Strong knowledge of ETL/ More ❯

up, requiring 3 days a week in the London HQ. What are we looking for? Advanced proficiency in SQL (T-SQL, PL/SQL, Databricks SQL) Experience using scripting languages such as Python, PowerShell etc. Data Modelling, cleansing and enrichment. Experience with Microsoft Azure. Strong knowledge of ETL/ELT More ❯

with the ability to work independently, manage multiple priorities and clearly communicate to non-technical audiences 👍 Bonus points for experience with: Knowledge of Python, Databricks, DBT and/or Fabric Familiarity with Azure data services Strong knowledge of hospitality systems, booking flows, CRM and loyalty platforms — and how they power More ❯

Not Dealbreakers) If you’ve worked with any of the following, that’s a bonus—but not a requirement: Big data tools (e.g., Spark, Databricks, Elasticsearch) Salesforce Marketing Cloud or campaign analytics Google Analytics (and ideally BigQuery) Alteryx or similar BI/automation tools A previous role in digital entertainment More ❯

science teams. Excellent stakeholder management and communication skills – able to explain complex concepts in accessible language. Proficiency in tools such as Azure ML Studio , Databricks , AWS/SageMaker , Snowflake , and cloud-native platforms. Familiarity with CI/CD tools like Azure DevOps Pipelines or GitHub Actions . Comfortable working in More ❯

data products. Ability to translate complex business requirements into technical solutions. Understanding of data governance principles, and familiarity with modern data platforms (e.g., Azure, Databricks) and designing scalable data models for enterprise-wide use. We’re growing fast and alongside a fun and friendly environment, we offer a fabulous package More ❯

and experience in designing effective dashboards and reporting solutions for effective decision making. Experience with one or more cloud data platforms such as Snowflake, Databricks, or cloud-native data services in Azure, AWS, GCP. Demonstrable experience in leading or delivering large data migrations and/or transformation programmes. Additional information More ❯

and code best practices (Git, testing, reviews) Tech Stack & Experience: Strong Python (Pandas), PySpark, and SQL skills Cloud data tools (Azure Data Factory, Synapse, Databricks, etc.) Data integration experience across formats and platforms Strong communication and data literacy Nice to Have: Commodities/trading background Experience with data lakes and More ❯