1 to 25 of 28 Permanent Databricks Jobs in the City of London

Tools (Data Factory, Synapse, SQL) Python experience for programming Databases, SQL and NoSQL (CosmosDB, KQL) Data Modelling: Kimball frameworks and 3NF Nice To Have Databricks Power BI AI/ML Azure Infrastructure DevOps Certifications Microsfot certified: fabric Analytics Engineer Associate DP-203 Azure data Engineering AZ-305 Azure Solutions Architect. More ❯

strategies Experience in a mid-market private equity or scale-up environment, with an understanding of agile execution Strong expertise in data management platforms (Databricks, Snowflake), Azure, ETL and data analytics tools and languages such as SQL, Python, and Power BI Previous experience leading the data strategy, analytics, and platform More ❯

strategies Experience in a mid-market private equity or scale-up environment, with an understanding of agile execution Strong expertise in data management platforms (Databricks, Snowflake), Azure, ETL and data analytics tools and languages such as SQL, Python, and Power BI Previous experience leading the data strategy, analytics, and platform More ❯

strategies Experience in a mid-market private equity or scale-up environment, with an understanding of agile execution Strong expertise in data management platforms (Databricks, Snowflake), Azure, ETL and data analytics tools and languages such as SQL, Python, and Power BI Previous experience leading the data strategy, analytics, and platform More ❯

Experiences Proven expertise in cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform. In-depth knowledge of cloud-native data services (e.g., Databricks, Snowflake, Microsoft Fabric, AWS Redshift). Strong understanding of data modelling (relational, dimensional, NoSQL) and ETL/ELT processes . Experience with data integration tools More ❯

skills Working understanding of ML Ops and DevOps frameworks Familiarity with Microsoft Azure tech stack, including but not limited to AzureML, Azure AI Foundry, Databricks What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose-driven company where we More ❯

Databricks Specialist 95K- 110K + Package Hybrid - London An excellent opportunity has arisen with a global gaming company for a Databricks Specialist, you'll play a vital role in owning the Databricks strategy and how they use it to innovate across their industry-leading brands. Designing and developing robust data … data pipelines, and creating data services that deliver actionable insights to their global customer base. Role and Responsibilities: Strategy Development: Create and own a Databricks strategy for the group, ensuring alignment with business goals Architectural Leadership: Serve as the owner and responsible person for all Databricks- related activities, acting as … including permissions, usage, paths, locations, and implementation, ensuring data accessibility, security, and reliability. Guidance and Training: Provide guidance, support, and training to teams regarding Databricks usage, offering best practices, monitoring, and cost management/optimization strategies. Platform Monitoring: Monitor usage of the Databricks platform to inform decisions on deprecation, resource More ❯

planning and technical implementation Exposure and understanding of big data technologies and messaging systems Hands on experience working with unified analytics platforms such as DataBricks, GCP, AWS and familiarity with the available data governance tools. Good knowledge on SQL databases Experience in data quality monitoring, ideally with event streams such More ❯

very large datasets. You will be responsible for building out a greenfield standaridised framework for Capital markets. The core platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will … risk, etc.). Essential Requirements: 2+ years of experience in MLOps and at least 3 years in AI/ML engineering. Knowledge in Azure Databricks and associated services. Proficiency with ML frameworks and libraries in Python. Proven experience deploying and maintaining LLM services and solutions. Expertise in Azure DevOps and … GitHub Actions. Familiarity with Databricks CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a plus. Solid understanding of AI/ML algorithms, model training, evaluation (including hyperparameter tuning), deployment, monitoring, and governance. Experience in handling large datasets and performing data preparation and More ❯

very large datasets. You will be responsible for building out a greenfield standaridised framework for Capital markets. The core platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will … risk, etc.). Essential Requirements: 2+ years of experience in MLOps and at least 3 years in AI/ML engineering. Knowledge in Azure Databricks and associated services. Proficiency with ML frameworks and libraries in Python. Proven experience deploying and maintaining LLM services and solutions. Expertise in Azure DevOps and … GitHub Actions. Familiarity with Databricks CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a plus. Solid understanding of AI/ML algorithms, model training, evaluation (including hyperparameter tuning), deployment, monitoring, and governance. Experience in handling large datasets and performing data preparation and More ❯

very large datasets. You will be responsible for building out a greenfield standaridised framework for Capital markets. The core platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will … risk, etc.). Essential Requirements: 2+ years of experience in MLOps and at least 3 years in AI/ML engineering. Knowledge in Azure Databricks and associated services. Proficiency with ML frameworks and libraries in Python. Proven experience deploying and maintaining LLM services and solutions. Expertise in Azure DevOps and … GitHub Actions. Familiarity with Databricks CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a plus. Solid understanding of AI/ML algorithms, model training, evaluation (including hyperparameter tuning), deployment, monitoring, and governance. Experience in handling large datasets and performing data preparation and More ❯

very large datasets. You will be responsible for building out a greenfield standaridised framework for Capital markets. The core platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will … risk, etc.). Essential Requirements: 2+ years of experience in MLOps and at least 3 years in AI/ML engineering. Knowledge in Azure Databricks and associated services. Proficiency with ML frameworks and libraries in Python. Proven experience deploying and maintaining LLM services and solutions. Expertise in Azure DevOps and … GitHub Actions. Familiarity with Databricks CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a plus. Solid understanding of AI/ML algorithms, model training, evaluation (including hyperparameter tuning), deployment, monitoring, and governance. Experience in handling large datasets and performing data preparation and More ❯

Proficient in writing clean, production-quality code. AI Model Management: Familiarity with platforms such as MLFlow, Hugging Face, or LangChain. Data Processing: Experience with Databricks/Spark. SQL: Solid querying and data preparation skills. Data Architectures: Understanding of modern data systems (lakehouses, data lakes). Additional (Nice-to-Have) Skills More ❯

scalable data capabilities; designing ingestion pipelines, high-performance APIs, and real-time data processing systems. Key Responsibilities Stack: Python, PySpark, Linux, PostgreSQL, SQL Server, Databricks, Azure, AWS Design and implement large-scale data ingestion, transformation, and analysis solutions Model datasets and develop indicators to improve data quality Collaborate on Infrastructure More ❯

scalable data capabilities; designing ingestion pipelines, high-performance APIs, and real-time data processing systems. Key Responsibilities Stack: Python, PySpark, Linux, PostgreSQL, SQL Server, Databricks, Azure, AWS Design and implement large-scale data ingestion, transformation, and analysis solutions Model datasets and develop indicators to improve data quality Collaborate on Infrastructure More ❯

scalable data capabilities; designing ingestion pipelines, high-performance APIs, and real-time data processing systems. Key Responsibilities Stack: Python, PySpark, Linux, PostgreSQL, SQL Server, Databricks, Azure, AWS Design and implement large-scale data ingestion, transformation, and analysis solutions Model datasets and develop indicators to improve data quality Collaborate on Infrastructure More ❯

Greetings, We have an immediate vacancy for a Financial Data Warehouse with 7 years of experience at Synechron, based in Glasgow Job Role: - Financial Data Warehouse Job Location: - Glasgow About Company: At Synechron, we believe in the power of digital More ❯

PowerBI Data Analytical Specialist with MS Fabric inc Data Factory, Synapse OneLake, SQL and familiar with Databricks is required by a leading commercial interior design company in the heart of the City, a short walk from Farringdon Station, paying upto 70k + All commuting costs paid , it is an office … Power BI Skills: Dashboard development, data modelling, and DAX for strategic insights. Data Warehousing Knowledge: Understanding of principles and practices for effective data management. Databricks Familiarity: Experience with Databricks for data processing and analytics. Stakeholder Engagement: Ability to pro actively engage with internal teams and translate business needs. Mentoring & Team More ❯

End-to-End AI Delivery Design, build, and maintain scalable AI and LLM-based pipelines using AWS or Azure services (e.g., SageMaker, Azure ML, Databricks, OpenAI integrations). Oversee AI model lifecycles from data preprocessing and prompt engineering through to deployment and continuous monitoring in production environments. Collaboration & Stakeholder Management … AI/ML code. LLMOps & AI Model Management: Experience with tools like MLFlow, LangChain, Hugging Face, Kubeflow, or similar platforms. Data Processing: Proficient with Databricks/Spark for large-scale AI data processing. SQL: Strong capabilities in data querying and preparation. Data Architectures: Understanding of modern data infrastructure (lakehouses, data More ❯

VE3 is a technology and business consultancy focused on delivering end-to-end technology solutions and products. We have successfully serviced enterprises across multiple markets, including the public and private sectors. Our services span all aspects of business, providing a More ❯

Databricks Data Engineer - Contract Day Rate: £550 - £650 P/day Location: Hybrid (Remote/2 Days a week in London) Start: Immediate Start Note: Capital Markets, or at least Banking experience is a MUST! Key expertise and experience we're looking for: Data Engineering in Databricks - Spark programming with … Scala, Python, SQL Ideally experience with Delta Lake Databricks workflows, jobs, etc. Familiarity with Azure Data Lake: experience with data ingestion and ETL/ELT frameworks Data Governance experience - Metadata, Data Quality, Lineage, Data Access Models Good understanding of Data Modelling concepts, Data Products and Data Domains Unity Catalog experience … bonus - experience in similar tools is valuable (Collibra, Informatica Data Quality/MDM/Axon etc.) Data Architecture experience is a bonus Python, Scala, Databricks Spark and Pyspark with Data Engineering skills Ownership and ability to drive implementation/solution design More ❯

partners) across complex data and cloud engineering projects Designing and delivering distributed solutions on an AWS-centric stack, with open-source flexibility Working with Databricks, Apache Iceberg, and Kubernetes in a cloud-agnostic environment Guiding architecture and implementation of large-scale data pipelines for structured and unstructured data Steering direction … technologies Proven delivery of big data solutions—not necessarily at FAANG scale, but managing high-volume, complex data (structured/unstructured) Experience working with Databricks, Apache Iceberg, or similar modern data platforms Experience of building software environments from the ground up, setting best practice and standards Experience leading and mentoring … so that could be preferable but open for this person to drive the Engineering practice Cloud: AWS preferred, cloud-agnostic approach encouraged Data: SQL, Databricks, Iceberg, Kubernetes, large-scale data pipelines CI/CD & Ops: Open source tools, modern DevOps principles 🚀 Why Join Us? Impactful Work – Help solve security problems More ❯

partners) across complex data and cloud engineering projects Designing and delivering distributed solutions on an AWS-centric stack, with open-source flexibility Working with Databricks, Apache Iceberg, and Kubernetes in a cloud-agnostic environment Guiding architecture and implementation of large-scale data pipelines for structured and unstructured data Steering direction … technologies Proven delivery of big data solutions—not necessarily at FAANG scale, but managing high-volume, complex data (structured/unstructured) Experience working with Databricks, Apache Iceberg, or similar modern data platforms Experience of building software environments from the ground up, setting best practice and standards Experience leading and mentoring … so that could be preferable but open for this person to drive the Engineering practice Cloud: AWS preferred, cloud-agnostic approach encouraged Data: SQL, Databricks, Iceberg, Kubernetes, large-scale data pipelines CI/CD & Ops: Open source tools, modern DevOps principles 🚀 Why Join Us? Impactful Work – Help solve security problems More ❯

partners) across complex data and cloud engineering projects Designing and delivering distributed solutions on an AWS-centric stack, with open-source flexibility Working with Databricks, Apache Iceberg, and Kubernetes in a cloud-agnostic environment Guiding architecture and implementation of large-scale data pipelines for structured and unstructured data Steering direction … technologies Proven delivery of big data solutions—not necessarily at FAANG scale, but managing high-volume, complex data (structured/unstructured) Experience working with Databricks, Apache Iceberg, or similar modern data platforms Experience of building software environments from the ground up, setting best practice and standards Experience leading and mentoring … so that could be preferable but open for this person to drive the Engineering practice Cloud: AWS preferred, cloud-agnostic approach encouraged Data: SQL, Databricks, Iceberg, Kubernetes, large-scale data pipelines CI/CD & Ops: Open source tools, modern DevOps principles 🚀 Why Join Us? Impactful Work – Help solve security problems More ❯

partners) across complex data and cloud engineering projects Designing and delivering distributed solutions on an AWS-centric stack, with open-source flexibility Working with Databricks, Apache Iceberg, and Kubernetes in a cloud-agnostic environment Guiding architecture and implementation of large-scale data pipelines for structured and unstructured data Steering direction … technologies Proven delivery of big data solutions-not necessarily at FAANG scale, but managing high-volume, complex data (structured/unstructured) Experience working with Databricks, Apache Iceberg, or similar modern data platforms Experience of building software environments from the ground up, setting best practice and standards Experience leading and mentoring … so that could be preferable but open for this person to drive the Engineering practice Cloud: AWS preferred, cloud-agnostic approach encouraged Data: SQL, Databricks, Iceberg, Kubernetes, large-scale data pipelines CI/CD & Ops: Open source tools, modern DevOps principles Why Join Us? Impactful Work - Help solve security problems More ❯