1 to 25 of 29 Permanent Databricks Jobs in the East of England

seeking a Senior Databricks Architect to design, implement, and optimize enterprise-scale data platforms using the Databricks Lakehouse Platform . The ideal candidate will have deep expertise in Databricks architecture, Apache Spark, Delta Lake, data engineering, cloud platforms, and enterprise data solutions. Key Responsibilities Design and architect Databricks Lakehouse solutions … large-scaleenterprise data platforms. Lead end-to-end Databricks implementation, including architecture, development, deployment, and optimization. Define Databricks workspace architecture, clusterstrategies, security models, and operational standards. Design and developscalable data pipelinesusing Databricks, Apache Spark, PySpark, SQL, andDelta Lake . Implement data ingestionframeworks supporting batchand real-timedata processing. Design Delta Lake ...

data or technology roles, such as architecture, operations, and design related disciplines. At least three years of experience in Azure (Azure Synapse, Azure Databricks, Fabric, PySpark). Comprehensive experience with data modelling Experience across a range of other IT functional disciplines will be of benefit, including: Data Platform tools ...

large-scale data transformation, optimisation and analytics workloads. Extensive experience designing and implementing scalable data solutions on cloud platforms such as Databricks on Azure, including data lakehouse architectures, data modelling frameworks and data quality controls. Deep understanding of analytics architecture, data modelling methodologies, semantic layer design, and approaches for delivering ...

GCP. We're interested to hear from Data Architects with experience across the majority of leading vendors including Azure, AWS, Google Cloud Platform, Databricks, Snowflake and more. Additional InformationAssessment process Please note that the interview stages may be subject to change based on the specific requirements of the role. Quick ...

related data-intensive field. Proficient with one or more programming languages (Python, Scala). Hands-on experience with modern lakehouse technologies (e.g. Databricks, Spark, Kafka). Comfortable building pragmatic ETL/ELT workflows in AWS using orchestration frameworks or cloud-native tools. DataOps mentality. Understanding of how to apply automation ...

data extraction, transformation, and shaping. Advanced Excel skills including formulas, structured tables, and VBA automation. Experience developing data ingestion pipelines using Azure Databricks, SQL, and Python. Ability to integrate structured and semi-structured data from databases, APIs, and web services. Strong analytical and data modeling capabilities. Strong communication and cross ...

Data Analytics, Artificial Intelligence or a related field, or equivalent experience, would be effective, although practical experience is equally valuable.“Nice to Have”Azure, Databricks, Apache Spark or comparable cloud and data platforms.Data pipelines, ETL and workflow-orchestration technologies.Machine-learning methods such as forecasting, prediction or classification.Experience with enterprise platforms ...

capability over time.Technical SkillsEssential• Strong SQL and Excel skills.• Good working knowledge of Python.• Understanding of the opportunities presented by AI tools and technologies.Desirable• Databricks experience or knowledge.• Power BI, SSIS, SSRS, VBA or DAX experience.What we offerEnjoy a benefits package designed to help you thrive, both professionally and personally. ...

security expectations; ability to guide peers on safe and effective usage within team practices. Preferred Qualifications, Capabilities, and Skills: Experience building data products on Databricks using lakehouse patterns, including Delta Lake and medallion architecture Familiarity with enterprise data platforms and data mesh principles, including domain-aligned datasets and well-defined ...

implement scalable data processing systems, work with a data lakehouse, and collaborate to deliver data products. The role demands Python/Scala, lakehouse tech (Databricks, Spark, Kafka) and strong data governance. IR35 inside. Responsibilities include leading data initiatives, ensuring data quality and compliance, and mentoring other engineers in a fast ...

collaborate with stakeholders and engineers to enhance front-end data experiences and governance foundations. You will define KPIs, build Power BI dashboards, leverage Databricks AI/BI and Genie Rooms, and contribute to ontology, #J-18808-Ljbffr ...

projects to be implemented Experience of Data Projects including data flows and engineering Ideally an Enterprise Data Platform such as Snowflake or Fabric or Databricks but essential and you don’t need to be a SME just project experience would be useful BA work on legacy, migration and new projects ...

academic qualification Proven and successful track record and experience in a Consumer/loyalty analytics role Data analytics proficiency in modern tools (SQL/Databricks) and frameworks to drive data-driven decisions Eye for detail and storytelling, ability to look at data/trends and translate into engaging and compelling ...

quantitative discipline (Statistics, Computer Science, Mathematics, Physics, Economics, or equivalent) Desirable Master’s or PhD in a quantitative field Cloud data platforms (Snowflake, Databricks, BigQuery, or Azure Synapse) Product analytics instrumentation experience (Amplitude, Mixpanel, Pendo, or custom event pipelines) MLOps — model deployment, monitoring, and retraining in production Experience building propensity ...

stakeholdersDegree in a quantitative discipline (Statistics, Computer Science, Mathematics, Physics, Economics, or equivalent)DesirableMaster’s or PhD in a quantitative fieldCloud data platforms (Snowflake, Databricks, BigQuery, or Azure Synapse)Product analytics instrumentation experience (Amplitude, Mixpanel, Pendo, or custom event pipelines)MLOps — model deployment, monitoring, and retraining in productionExperience building propensity ...

large-scale data transformation, optimisation and analytics workloads. Extensive experience designing and implementing scalable data solutions on cloud platforms such as Databricks on Azure, including data lakehouse architectures, data modelling frameworks and data quality controls. Deep understanding of analytics architecture, data modelling methodologies, semantic layer design, and approaches for delivering … large-scale data transformation, optimisation and analytics workloads. Extensive experience designing and implementing scalable data solutions on cloud platforms such as Databricks on Azure, including data lakehouse architectures, data modelling frameworks and data quality controls. Deep understanding of analytics architecture, data modelling methodologies, semantic layer design, and approaches for delivering ...

strong knowledge of AWS You have a good knowledge of modern software engineering best practices, microservices, TDD/DDD, common Design Patterns Experience with Databricks, PostgreSQL, Amazon RedShift or MLflow would be great but not essential What's in it for you: As a Backend Software Engineer/Developer (Machine ...

impact decisions.Preferred qualifications and experience2+ years of experience leading informal teams or cross-functional initiatives.Experience with enterprise platforms such as Oracle, Salesforce, ServiceNow, Workday, Databricks, enterprise data platforms or similar business systems.Experience in business process improvement, digital transformation, application adoption or value realisation.Experience identifying automation, AI or analytics opportunities within ...

Engineer within complex technical environments. Strong knowledge of data management principles, including data modelling, integration, quality, and governance. Strong commercial experience with Snowflake and Databricks essential. Experience assessing existing data management systems and recommending improvements. Experience with modern data architectures, including cloud-based and distributed systems. Strong proficiency … ensuring that all applicants have a fair and accessible recruitment experience. Apply Now If you are an experienced Data Engineer with strong Snowflake and Databricks experience and are looking for your next opportunity within a technically challenging and high-impact environment, we would be keen to hear from you. Apply ...

hiring within a rapidly evolving space. Their core specialisms include: Data AI & Machine Learning Executive Search They work with cutting-edge technologies including Snowflake, Databricks, and advanced AI platforms. What They’re Looking For They are looking for someone who is: Hungry, driven, and highly motivated Ambitious and looking ...

Cambridge with two days onsite per week, the position falls inside IR35 and requires strong governance, semantic modelling and experience with dashboards and Databricks Genie Rooms. #J-18808-Ljbffr ...

Engineer to build trusted data products on our modern data platform. You’ll work at the intersection of data engineering and analytics on a Databricks-based FLOW, turning raw data into analysis-ready datasets used across the organization. Collaborate with stakeholders, own testing and governance, and help shape the evolution ...

understand their needs, align on metrics and definitions, and translate business questions into effective data and AI solutions. You will create dashboards, visualisations and Databricks Genie Rooms, supported by consistent semantic models, business definitions, ontology, taxonomy and metadata. Working across business and technical teams, you will help ensure data … use. Responsibilities: Partner with business stakeholders to understand needs, define requirements and align on KPIs, metrics and business definitions. Create engaging dashboards, visualisations and Databricks Genie Rooms. Translate business questions into intuitive data, analytics and AI experiences. Develop semantic models, KPIs, metrics and business definitions. Configure and continuously improve Genie ...

Data Products team. You will design and build web applications and data products, with a frontend-led focus and strong system integration across Databricks Lakehouse, APIs, and internal data services. You will own products from prototype to production, collaborating with PMs, engineers, and UX/UI designers in a startup ...

technical expertise.You will need: Solid programming experience with programming languages like Python along with proficiency in SQLExperience building data platforms on cloud services like Databricks on Azure or GCP BigQuery and big data technologies like Spark, Flink etc.,Solid grasp of Kubernetes, CI/CD and TerraformWorking knowledge … expertise. You will need Solid programming experience with programming languages like Python along with proficiency in SQLExperience building data platforms on cloud services like Databricks on Azure or GCP BigQuery and big data technologies like Spark, Flink etc.,Solid grasp of Kubernetes, CI/CD and TerraformWorking knowledge ...