1 to 25 of 91 Databricks Jobs in London

such as MongoDB or Cassandra Erwin Data Modeler, ER/Studio or similar modelling tools TOAD or equivalent SQL development tools Azure Data Factory, Databricks or other modern data platforms Git, Azure DevOps or similar version control tools Power BI or other BI platforms PL/ ...

such as MongoDB or Cassandra Erwin Data Modeler, ER/Studio or similar modelling tools TOAD or equivalent SQL development tools Azure Data Factory, Databricks or other modern data platforms Git, Azure DevOps or similar version control tools Power BI or other BI platforms PL/ ...

continuous improvement of both the platform and the team. Your Skills: Experience in cloud-based data engineering using Azure, AWS, or GCP, preferably with Databricks, Snowflake, or Microsoft Fabric. Strong SQL skills and experience with Python, along with a keen interest in modern data platforms and architectures. Good understanding ...

Database/SQL Server Microsoft Power BI Tabular Models T-SQL PowerShell Azure Cloud Services Experience with the following would be advantageous: Synapse Analytics Databricks Python Master Data Management (MDM) About You We're looking for someone who combines strong technical expertise with excellent stakeholder engagement skills. You will have ...

implementing complex data-matching, reconciliation, and entity-resolution solutions across multiple data sources Distributed computing for data intensive work such as Spark and Databricks Cloud platforms including AWS, Azure and GCP Orchestration tools like Airflow Modern DevOps practices including version control, CI/CD, and infrastructure as code using Terraform ...

Designing scalable reporting solutions using best-practice methodologies such as Kimball, Star Schema, or Medallion Architecture Azure DevOps or CI/CD processes Azure Databricks Databricks Genie or AI-assisted analytics tools Microsoft Fabric Agile delivery environments and sprint-based working What They Offer Salary up to £60,000 Fixed ...

e.g. dimensional modelling, data vault, medallion architecture) and strong SQL skills Experience with cloud data platforms, particularly AWS, as well as platforms such as Databricks and Snowflake; exposure to Azure or GCP is beneficial A good understanding of modern data engineering patterns including ETL/ELT, data lakes, lakehouse ...

Data Engineering, Analytics Engineering, Solution Engineering, or related disciplines within enterprise environments 4+ years of hands-on experience designing and implementing solutions on the Databricks Lakehouse Platform Strong expertise in Apache Spark, SQL, Python, Delta Lake, and modern data engineering practices Experience building and optimizing Extract, Transform, Load and Extract … requirements into technical solutions Education Bachelor's degree or equivalent qualification in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field Databricks Data Engineer Associate certification or higher preferred Databricks Generative AI Engineer Associate certification preferred Responsibilities Design, build, and support scalable data, analytics, and artificial intelligence ...

enterprise-wide cloud transformation initiatives. Key Responsibilities Design, build, and optimise scalable ETL/ELT data pipelines. Develop and maintain data solutions using Databricks, Python, SQL, and Oracle. Support the migration of data assets from legacy platforms into modern cloud-based environments. Deliver enterprise-grade data solutions within a highly ...

fields, with relevant certifications Minimum of 3-5 years’ experience in delivering data solutions on the Microsoft Azure platform (Azure Data Factory, Data Lake, Databricks, etc.) Strong expertise in Azure cloud services, data integration, and management of data flows across systems Proven skills in project management, solution delivery, and budget ...

cloud infrastructure underpinning data systems through a DevOps approach Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data Meshes) and the different ...

experience with technologies such as Python, SQL, Java, .NET or JavaScript Experience working with modern enterprise data technologies such as Snowflake and/or Databricks Good understanding of enterprise data platforms, data architecture, on-premise lakehouse architectures and enterprise systems Knowledge of DevOps, CI/CD, Infrastructure as Code ...

with strong experience in data quality, model development and feature engineering Strong command of SQL and familiarity with data engineering environments such as Databricks or similar Skilled in data visualisation and storytelling using tools such as Power BI, Tableau, Plotly, or Sigma Demonstrated ability to translate technical findings into strategic ...

Hands-on experience building, deploying, and scaling AI/ML solutions using frameworks and platforms such as Scikit-learn, PyTorch, TensorFlow, Hugging Face, LangChain, Databricks, Spark, vector databases, cloud services (AWS/Azure), and MLOps tools including MLflow and Kubeflow. Proven ability to develop production-grade, large-scale AI systems ...

engineering. What we're looking for: 24 years' experience in data engineering Strong SQL, Python and DBT skills Experience with AWS and/or Databricks Experience building ETL/ELT pipelines and data warehouses Knowledge of AWS services such as S3, Lambda and Glue Familiarity with Git and infrastructure ...

What we're looking for: 2 4 years' experience in data engineering Strong SQL, Python and DBT skills Experience with AWS and/or Databricks Experience building ETL/ELT pipelines and data warehouses Knowledge of AWS services such as S3, Lambda and Glue Familiarity with Git and infrastructure ...

substantial leadership experience, and a proven track record of designing and operating enterprise-scale data platforms. Strong experience across cloud data architecture, Snowflake/Databricks/BigQuery, SQL, Python, data modelling and modern data engineering practices is essential. Experience across AI/ML, knowledge graphs, unstructured data, SaaS or customer ...

. Demonstrated experience with interpretable AI techniques. What Would Make You Stand Out: Exposure to different cloud-based data and analytics platforms (e.g. AWS, DataBricks, Snowflake). Advanced degree in a quantitative subject, e.g. Mathematics, Physics, Engineering, Data Science, Machine Learning. Experience of software engineering in an enterprise environment. ...

Analytics Cloud, or SAP BTP certifications. Experience in Life Sciences, Pharmaceutical, Biotechnology, or highly regulated industries. Experience with Microsoft Fabric, Azure Data Platform, Snowflake, Databricks, or other modern cloud data ecosystems. Strong knowledge of AI-driven analytics, data products, and enterprise information management frameworks. Equal Employment Opportunity ...

architectures. Experience designing scalable and secure enterprise data platforms using technologies such as Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Databricks, and Snowflake. Data Management, Governance & Controls: Experience establishing data governance frameworks, operating models, metadata management, lineage, cataloguing, data quality, and master data management capabilities. Familiarity … insurance functions. Ability to design architectures that support self-service analytics, management information, and performance reporting using platforms such as Power BI, Microsoft Fabric, Databricks, and Snowflake. AI & Advanced Data Capabilities: Understanding of emerging Artificial Intelligence & ML Ops platforms. Experience designing architectures that enable trusted, governed, and scalable AI adoption ...

Extensive experience as an Enterprise Data Architect within large, complex organisations Previous line management or leadership experience Strong Azure data platform expertise, including Azure Databricks Experience designing modern lakehouse and enterprise data architectures Strong understanding of data governance, metadata, MDM and enterprise data modelling Experience supporting AI/ML initiatives ...

identifying growth opportunities and helping expand a consulting business. A naturally curious mindset and a genuine passion for solving challenging problems. **Additional experience with Databricks, PySpark, R, Power BI or Palantir Foundry would be advantageous.** Why consider it? Continued development:** Dedicated training and certification budget. Variety:** Work on complex, interesting ...

following areas: Platform engineering: building reusable software foundations, internal developer platforms, and infrastructure that other teams build on Data Engineering: including platforms like Databricks for data processing and analytics Delivering production agentic systems, including RAG pipelines, vector search, and agentic frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, and n8n DevSecOps ...

customer-facing teams and convert technical capabilities into clear commercial value Hands-on familiarity with application programming interfaces, cloud data platforms such as Databricks and Snowflake, and generative or agentic artificial intelligence architectures Experience building partner ecosystems and co-sell motions with consultancies, systems integrators, and technology or cloud partners ...

Data Architecture. Expertise across foundational data domains including data modelling, data engineering, data governance, and data consumption. Working knowledge with the likes of Databricks, Snowflake, Anthropic etc Excellent communication and collaboration skills. Experience working in client facing environments and a proven track record in architecting complex data solutions. Experience leading ...