326 to 350 of 564 Databricks Jobs in England

also mentoring customers to foster self-sufficiency. Technical expertise will be essential in guiding customers through system and data architecture, integrating with cloud data warehouses such as Snowflake and Databricks; supporting the integration of external data sources, developing data models and ETL processes; to driving value through dashboards or business applications. Integrating AI tools and LLMs to unlock valuable insights … Translate key business requirements into effective solutions that drive customer value Guide customers on system and data architecture, including best practice integrations with CDW’s such as Snowflake and Databricks Oversee the full project lifecycle, from conception to delivery and sign-off, ensuring seamless collaboration with technical consultants, architects and customers Technical Problem Solving: Assist customers in resolving technical challenges … Deep understanding of at least one database technology (relational, columnar, or NoSQL) and familiarity with others (e.g., MySQL, Oracle, MSSQL, Vertica, MongoDB) Knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery Proven ability to manage technical project delivery, including scoping, planning, and risk assessment Strong organisational skills to oversee multiple concurrent customer projects Adaptability to shifting customer requirements and More ❯

critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence. Collaborate with … Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge of More ❯

critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence. Collaborate with … Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge of More ❯

Interpath is an international and fast-growing advisory business with deep expertise in a broad range of specialisms spanning Deals, Advisory and Restructuring capabilities. We deliver tangible results for global businesses, their investors, and stakeholders when complex problems arise, and More ❯

Interpath is an international and fast-growing advisory business with deep expertise in a broad range of specialisms spanning Deals, Advisory and Restructuring capabilities. We deliver tangible results for global businesses, their investors, and stakeholders when complex problems arise, and More ❯

Interpath is an international and fast-growing advisory business with deep expertise in a broad range of specialisms spanning Deals, Advisory and Restructuring capabilities. We deliver tangible results for global businesses, their investors, and stakeholders when complex problems arise, and More ❯

Interpath is an international and fast-growing advisory business with deep expertise in a broad range of specialisms spanning Deals, Advisory and Restructuring capabilities. We deliver tangible results for global businesses, their investors, and stakeholders when complex problems arise, and More ❯

remote. Our client is looking for an experienced Lead Data Engineer with the following skill set: Experience with Azure data services, Azure Data Factory (ADF), API development and integration, Databricks, Python programming, Unit testing, GIT version control, Data management and data governance, Data security. If this is you, get in touch ASAP and send us your CV More ❯

Azure Functions is a plus Demonstrated experience building APIs to support analytics/research/actuarial functions in an insurance company setting Experience with cloud technologies like Snowflake and Databricks Familiarity with the MLOps framework Required Skills Exceptional collaboration and relationship building skills Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces Resilient problem solving and critical More ❯

Azure Functions is a plus Demonstrated experience building APIs to support analytics/research/actuarial functions in an insurance company setting Experience with cloud technologies like Snowflake and Databricks Familiarity with the MLOps framework Required Skills Exceptional collaboration and relationship building skills Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces Resilient problem solving and critical More ❯

Principal Architect – Data & Information Architect, Architecture, Data & Information, Data & Information Architecture, Data Architect, Data, Analytics, Cloud, Azure, Databricks, PowerBI, Fabric, Tableau, Alteryx £80-88,000 per annum + 5k Car Allowance Personal & Company performance bonus - 20% Bonus Warrington – 3 days per week onsite Our client is currently looking for a Solutions Architect to join their Architecture function to Oversee the More ❯

Possessing in-depth knowledge of specific technologies, software, and products. Key strengths on the following areas are required: Cloud technologies - Azure Cloud, AWS. Data Lake & Data Warehouse: SparkDB, Azure Databricks Key accountability Consulting and Advisory: Analysing client needs, identifying technical challenges, and recommending solutions. Solution Design and Implementation: Developing and implementing technical solutions that align with client objectives. Client Communication More ❯

Strong understanding of data governance, data lineage, and metadata management. Hands-on experience with data modelling tools (e.g., Erwin, PowerDesigner). Familiarity with hyperscalers and modern data platforms (e.g., Databricks, Snowflake). Ability to articulate complex technical concepts clearly and concisely. Experience working with cross-functional teams and influencing decision-making. Strong problem-solving skills and attention to detail. About More ❯

team to ensure successful implementation. Essential Skills Proficient in Python, with familiarity with legacy code bases in VBA and SQL. Strong understanding of cloud-based data ecosystems, including Snowflake, Databricks, and the Azure software stack. Deep knowledge of front and middle office processes within asset management. Solid understanding of financial instruments, trade lifecycle events, and high-level strategic thinking used More ❯

fast-growing team that plays an integral part of the revenue producing arm of a company, then our team is for you. Technologies include Scala, Python, Apache Flink, Spark, Databricks, and AWS (ECS, Lambda, DynamoDB, WAF, among others). Experience in these areas is preferred but not required. Qualifications: You collaborate with team members and project management to identify requirements More ❯

prerequisites, we're excited to find experience in version control of data and artefacts (like DeltaLake, DVC, or MLFlow), designing and operating cloud-based systems, preferably within AWS or Databricks, familiarity with messaging platforms and proficiency in infrastructure as code (e.g. Terraform, CloudFormation, Pulumi), a grasp of K8s and service mesh concepts, and previous exposure to data orchestration tools. Why More ❯

Southeast Asia, Australia, and New Zealand-including many of the world's largest Fortune 1000 and Global 2000 companies. With strong global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise on the horizon, we're scaling quickly toward long-term growth and IPO readiness. Join us as we define the future of SaaS More ❯

using a high level language like Go, Java, JavaScript, Python Distributed Software Architecture exposure in high volume production scenarios Working with Data Mesh, BigData technologies such as EMR, Spark, Databricks Designing, tracking and testing to SLOs and Chaos Engineering to Error Budgets Implementing Business Continuity (BCP) and Disaster Recovery (DRP) plans including tracking RTO and RPO CryptoCurrency domain knowledge and More ❯

Southeast Asia, Australia, and New Zealand-including many of the world's largest Fortune 1000 and Global 2000 companies. With strong global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise on the horizon, we're scaling quickly toward long-term growth and IPO readiness. Join us as we define the future of SaaS More ❯

calculated fields when required Possess hands on experience with SQL and knowledge of data warehousing and dimensional modelling will be advantageous Experience using large data platforms such as Snowflake, Databricks or similar Exposure to other visualisation platforms is helpful, but not essential Required Characteristics Cares about quality, ensuring data accuracy and consistency across all visualisations Confident in presenting dashboards and More ❯

leading the engineering team and also input into design and strategy decisions. Initially there will be a focus on GCP but will also involve working extensively with Snowflake and Databricks, as well as other modern cloud and data engineering tools. As the technical leader for the data engineering function, you will define architectural standards, mentor engineers, and collaborate with cross … had essential hands-on experience building pipelines in Python, analysing data requirements with SQL, and modern data engineering practices and deep technical expertise in GCP, AWS and/or Databricks alongside experience of driving the team and inputting to the overall vision/strategy. Responsibilities Provide technical leadership and mentorship to the data engineering team, driving best practices in architecture … architectures Advanced proficiency in Python (including PySpark) and SQL, with experience building scalable data pipelines and analytics workflows Strong background in cloud-native data infrastructure (e.g., BigQuery, Redshift, Snowflake, Databricks) Demonstrated ability to lead teams, set technical direction, and collaborate effectively across business and technology functions Desirable skills Familiarity with machine learning pipelines and MLOps practices Additional experience with Databricks More ❯

strategies for data workflows, version control, and robust CI/CD pipelines across the entire analytics stack. Machine Learning Enablement: Oversee the transformation and migration of complex datasets to Databricks, ensuring data quality and accuracy to build a robust foundation that unlocks various ML use cases. Qualifications: 5+ years of experience in analytics engineering, data engineering, or a related field. … Architecture. Background in a fast-paced, high-growth environment (e.g., tech, SaaS, ecommerce) preferably with experience scaling data solutions. Knowledge of data privacy regulation and governance frameworks. Experience using Databricks for large-scale data processing and analytics. £65,000 - £78,000 a year Benefits In addition to a competitive salary and bonus, we offer a range of benefits, including: Fully More ❯

Data Scientist, to help to drive innovation and the usage of machine learning technology to support key business use cases, leveraging the Azure platform, Python, Spark, GenAI/LLMs, Databricks, SQL, DevOps & geospatial data knowledge to create end to end products to support key products. Ideally, you'll have experience from within the energy industry. You will - Support the creation … for coding standards, use of repos, DevOps sprints & Agile boards to ensure alignment with TD&D ways of working. You have - Extensive experience with the Microsoft Azure platform, Python, Databricks, SQL, Geospatial tools, Azure DevOps, use of repo, data factory & pipeline creation. - Machine learning experiencing on the Microsoft Azure platform, AutoML or Python. - Excellent communication & stakeholder management skills, with the … such as NLP & generative AI (familiarity with potential use cases, value & concerns - ethical AI, information security). - Front end development (GUI) experience with the ability to leverage the Azure Databricks platform (Databricks Apps) to create positive user experience generating tools off the back of key data science machine learning products. About SSE SSE has a bold ambition - to be a More ❯

Data Architect Contract London 5 Months+ Role Description: Design and evolve enterprise-grade data and AI architectures using Databricks and Azure. Perform GenAI architecture uplift, including LLMOps, agentic frameworks, and RAG-based patterns. Evaluate and evolve data science and platform reference architectures, ensuring strategic alignment. Collaborate with global stakeholders across EO, NAO, and AusPac. Drive architectural governance and technical evaluations More ❯

Data Architect Contract London 5 Months+ Role Description: Design and evolve enterprise-grade data and AI architectures using Databricks and Azure. Perform GenAI architecture uplift, including LLMOps, agentic frameworks, and RAG-based patterns. Evaluate and evolve data science and platform reference architectures, ensuring strategic alignment. Collaborate with global stakeholders across EO, NAO, and AusPac. Drive architectural governance and technical evaluations More ❯