501 to 525 of 648 Databricks Jobs in the UK excluding London

products (reporting, AI/ML) and operations. Co-author data governance practices with the Data Governance Lead: metadata, data quality, lineage, privacy, compliance within Databricks Unity Catalog. Review solution designs for architectural alignment and risk reduction, eliminating duplication and maximising reusability at cost-efficient scale. Evaluate emerging technologies and reduce … medallion, big data). Demonstrable experience in running long-term data migration projects between bespoke systems desirable. Experience with cloud data platforms - Azure (desirable) & Databricks (essential). Advanced data modelling expertise, using industry reference models where appropriate. Proven stakeholder engagement and communication skills. Experience operating in the insurance industry ...

source-of-truth decisions independently. Strong hands-on data skills: fluent SQL, solid data modelling, and a modern data stack. We are building on Databricks, so experience there or with an equivalent lakehouse or warehouse, plus a transformation framework such as dbt and strong Python, is what we are looking … built, not familiarity with the buzzwords. A proven track record in integrating multiple operational and commercial or SaaS systems. For us, that landscape includes Databricks, HubSpot, product analytics via Pendo, fleet and robot telemetry via Grafana, deployment tooling and contractual data. The communication and facilitation skills to align non-technical ...

Our roster has an opening with your name on itWe are seeking a Data Engineering Manager to lead a team of data engineers in building high-quality, scalable data products and infrastructure. In this hybrid ...

Company DescriptionWe believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough ...

maintain our data ecosystem. You will lead a small team, mentor junior engineers, and collaborate with stakeholders to deliver scalable data pipelines on Databricks using PySpark and Spark SQL. The role involves guiding data strategy, migrating legacy processes, and delivering enterprise data solutions in a cloud-native environment, with hybrid ...

data platform to enable analytics, reporting, and AI initiatives across Pricing, Underwriting and Claims. You will design and build scalable data pipelines on Azure Databricks and Delta Lake, with governance, security, and real-time processing at scale. The role sits in the Enterprise Data Team and requires strong ...

service Employee Assistance Program I am working with a client in the West Midlands who are looking for an Enterprise level Data Architect with Databricks experience to join the team. Databricks is an absolute necessity for this role. The architecture has been outsourced up to this point, and is being … individual contributor within the team. Upcoming projects include migration of customer data to newer, cloud based servers. Skills and Experience: Enterprise level Data Architecture Databricks Modelling Technical authority/Leadership Experience with Canonical Model design patterns Cleansing and ETL Creation and design of data systems including best practice standards principles ...

currently seeking an MLOps AI Lead & Databricks Platform Specialist to join a global end client, taking ownership of the Databricks platform and supporting the delivery of robust, scalable MLOps capabilities. We are ideally looking for someone on a permanent basis , although contract-to-permanent could also be considered. Location: Hybrid … years’ experience Proven experience managing data/analytics platforms and/or MLOps capabilities in a complex enterprise environment. Hands-on experience operating Databricks (workspace administration, cluster policies, jobs, Delta Lake, Unity Catalog, access controls, and production support) Experience implementing MLOps practices across the model lifecycle (CI/CD, versioning ...

Global is seeking an MLOps AI Lead & Databricks Platform Specialist to own the Databricks Lakehouse Platform and drive robust MLOps capabilities across the enterprise. The role involves platform service management, security governance, and collaborating with Data Engineering and Data Science teams to operationalize ML models through CI/CD, testing ...

production - training, packaging, deployment, monitoring, retraining, and decommissioning - in real-world business applications. Proven experience working with large datasets and distributed compute (Spark/Databricks or equivalent), with SQL fluency and an understanding of partitioning, performance, and cost. Hands-on experience using enterprise-authorized AI-assisted software development tools within … solid understanding of agile delivery practices including CI/CD, Application Resiliency, and Security. Preferred qualifications, capabilities, and skills Production experience with Databricks (Delta Lake, Unity Catalog, MLflow, Databricks Jobs) and workflow orchestration with Apache Airflow. Strong working knowledge of both supervised and unsupervised techniques, including tree-based and kernel ...

seeking an experienced Delivery Manager to join our client’s Data & Reporting Programme. The role spans two workstreams: a Report Replacement solution and a Databricks/Enterprise Data Platform, providing end-to-end delivery structure, coordination and governance across technical and business teams. The position is hybrid, with two days ...

internal teams to assess architectural designs, technical capabilities, and fit within existing systems and information architecture. Build scalable feature engineering and data pipelines on Databricks using data lake sources, leveraging Spark/Delta and Databricks workflows/jobs. Required qualifications, capabilities, and skills Formal training or certification in software engineering … testing environments. Database experience with PostgreSQL (including RDS/Aurora) and MongoDB; ability to write automation/operations scripts in Python and Bash. Databricks experience including Spark, Delta, notebooks, workflows/jobs, and performance tuning; familiarity with GraphQL. Provide technical support during software development, including debugging environment-specific issues ...

Databricks Data Engineer | London | £50,000 - £70,000 🧱 Peaple Talent have partnered with a specialist data consultancy delivering services across data engineering, data strategy, data migration, BI & analytics. As a trusted Microsoft Partner, my client are leaders in the industry, with a diverse portfolio of clients and projects. … Demonstratable data engineering/BI skills, with a focus on having delivered in Microsoft Azure Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice ...

platforms, and integrations, while ensuring solutions meet regulatory standards and align with architectural best practices. Key Responsibilities: Build and optimise scalable data pipelines using Databricks and Apache Spark (PySpark). Ensure performance, scalability, and compliance (GxP and other standards). Collaborate on requirements, design, and backlog refinement. Promote engineering best … that improve time-to-insight. Knowledge of secure, auditable, and compliant data workflows. Know how on optimising performance and reducing costs through Spark and Databricks tuning. Be able to create reusable, well-documented tools enabling collaboration across teams. A culture of engineering excellence driven by mentoring and high-quality practices. ...

collaborative environment with plenty of ownership and exposure to cutting-edge technologies. The Role Build scalable data pipelines using Microsoft Fabric and Databricks Develop machine learning solutions across forecasting, anomaly detection, recommendation systems, and information extraction Work with structured, semi-structured, and document-heavy datasets Create reusable data assets … solve business challenges through data Your Skills & Experience Strong experience across both Data Science and Data Engineering Hands-on expertise with Microsoft Fabric and Databricks Advanced Python and SQL skills, with PySpark desirable Experience building data pipelines and machine learning models Knowledge of NLP, entity resolution, or document processing ...

data estate, and you will play a key role in the modernisation of its cloud-based data platform, including the continued development of its Databricks environment. The Role As Data Engineering Lead, you will provide both technical and people leadership, helping to shape the future direction of the organisation … data platforms. Remaining hands-on with complex data engineering and technical challenges. Leading the migration and modernisation of existing data platforms into a modern Databricks environment. Designing and maintaining high-quality data pipelines, models and curated datasets. Ensuring the stability, performance and continuous improvement of critical data platforms. Supporting wider ...

years in a senior manager or executive role leading cross-functional teams. Strong familiarity with core technical stack - cloud data ecosystems (eg. Snowflake, Databricks, Vertex AI, AWS Sagemaker).Experience moving to modern data architecture environment, with Deep Datawarehouse/lakehouse (AWS Redshift, Databricks), streaming/batch, APIs, data products ...

skills preferred in any or all of the following: Microsoft Excel, Google Suite, Atlassian Jira/Confluence, SQL, Python (Jupyter Notebook, Pandas, PySpark, etc.), Databricks, Bloomberg, Pitchbook, or other common financial services systems and applicationsHands-on SQL & Data Warehouse Experience: Strong proficiency using SQL and Databricks (PySpark) to navigate complex ...

within a complex organisation. Experience working closely with data engineering, analytics and business teams. It would be great if you also have: Knowledge of Databricks Unity Catalog and medallion architecture. Understanding of Data Mesh, FinOps and AI governance principles. Experience using governance and data catalogue tools such as Microsoft Purview … automation, dashboarding and agile delivery environments. Experience supporting cloud platform or data product transformation programmes. Relevant certifications such as DAMA CDMP, DCAM, Microsoft or Databricks certifications. Knowledge of the hospitality sector and broader data landscape. Bring your expertise in data governance, passion for improving data quality and ability to influence ...

views and semantic layers (business-friendly data models) to improve consumption and reduce duplication. Support launch and adoption of AI-enabled analytics tooling (e.g., Databricks Genie and other prompt-based AI-assisted analytics), including user enablement, curated data rooms, training coordination, and optimizing data views for AI tools. Review … skills Experience with Finance and Business Management processes that support technology teams. Hands-on use of BI or analytics tools such as Alteryx, Tableau, Databricks, or Sigma. Exposure to Agile delivery and Jira-based routines. Experience supporting data-product users through triage, guidance, or training. Exposure to data contracts, semantic ...

play a crucial part in managing, innovating and optimising our core AI systems and large scale product catalogue (Data feed). Working heavily within DataBricks and Google Cloud Platform, you will focus on enriching our product catalogue feeds, building scalable machine learning solutions and driving continuous improvement in our automated … data manipulation libraries (e.g. PySpark, Pandas, Numpy) and machine learning frameworks (e.g. scikit-learn, TensorFlow or PyTorch). Experience with MLOps tools (e.g., MLflow, Databricks Model Registry, Unity Catalog, Vertex AI) and version control (Git). Strong coding practices with experience in code optimisation, ETL frameworks and processing large-scale ...

work across others as needed Experience with cloud platforms (preferably AWS) and working knowledge of both relational and distributed data platforms (e.g., Oracle, Databricks) Advanced understanding of agile methodologies, CI/CD pipelines, application resiliency, and secure software development practices Proficient in all aspects of the Software Development Life Cycle … PySpark or similar frameworks, including performance tuning and troubleshooting of large-scale data pipelines In-depth knowledge of relational and distributed databases (e.g., Oracle, Databricks) with hands-on experience in query optimization, PL/SQL, and shell scripting in a cloud-native AWS environment Demonstrated ability to lead or contribute ...

focused views and semantic layers (business-friendly data models) to improve consumption and reduce duplication.Support launch and adoption of AI-enabled analytics tooling (e.g., Databricks Genie and other prompt-based AI-assisted analytics), including user enablement, curated data rooms, training coordination, and optimizing data views for AI tools.Review and triage … capabilities, and skillsExperience with Finance and Business Management processes that support technology teams.Hands-on use of BI or analytics tools such as Alteryx, Tableau, Databricks, or Sigma.Exposure to Agile delivery and Jira-based routines.Experience supporting data-product users through triage, guidance, or training.Exposure to data contracts, semantic-layer design ...

source‐of‐truth decisions independently. Strong hands‐on data skills: fluent SQL, solid data modelling, and a modern data stack. We are building on Databricks, so experience there or with an equivalent lakehouse or warehouse, plus a transformation framework such as dbt and strong Python, is what we are looking … built, not familiarity with the buzzwords. A proven track record in integrating multiple operational and commercial or SaaS systems. For us, that landscape includes Databricks, HubSpot, product analytics via Pendo, fleet and robot telemetry via Grafana, deployment tooling and contractual data. The communication and facilitation skills to align non‐technical ...

views and semantic layers (business-friendly data models) to improve consumption and reduce duplication. Support launch and adoption of AI-enabled analytics tooling (e.g., Databricks Genie and other prompt-based AI-assisted analytics), including user enablement, curated data rooms, training coordination, and optimizing data views for AI tools. Review … skillsExperience with Finance and Business Management processes that support technology teams. Hands-on use of BI or analytics tools such as Alteryx, Tableau, Databricks, or Sigma. Exposure to Agile delivery and Jira-based routines. Experience supporting data-product users through triage, guidance, or training. Exposure to data contracts, semantic-layer ...