151 to 175 of 324 Permanent Databricks Jobs

sites when required We are seeking an experienced Data Engineer who is skilled in all toolsets in data platforms including Azure SQL, data lake, databricks and data factory, and specialised in building high performance, highly scalable and cost-effective data solution within time and budget click apply for full ...

role: SQL Server MS SSIS T-SQL Azure Data Factory Visual Studio Strong written & verbal communication Desirables: Python Azure Synapse/Databricks Flink/Kafka The role will be on a hybrid working basis with 3 days per week in the Liverpool office. The role is commutable from the surrounding ...

with GA4, Adobe Analytics, GTM. Strong CRO and experimentation knowledge. Skilled in dashboarding tools and data storytelling. Familiarity with GDPR and data governance. Bonus: Databricks, CRM integrations, behavioural tools (Hotjar, Contentsquare). Apply now to help shape data-driven digital experiences. ...

with GA4, Adobe Analytics, GTM. Strong CRO and experimentation knowledge. Skilled in dashboarding tools and data storytelling. Familiarity with GDPR and data governance. Bonus: Databricks, CRM integrations, behavioural tools (Hotjar, Contentsquare). If this role sounds like a good fit then please apply today ...

Azure accredited and come with 3-5 years demonstrable hands on Azure Infrastructure engineering experience, specifically App Service, API Management, Azure SQL Database, Databricks, Storage Accounts and ServiceBus. As well as strong knowledge of Infrastructure as Code using TerraForm and Scripting. Working closely with the key stakeholders, you will ...

required: Proven operational leadership for large-scale data platforms. Expertise in incident management, SLA enforcement, and stakeholder communication. Hands-on experience with Azure Synapse, Databricks, ADF, Power BI. Familiarity with CI/CD and automation. Strong FinOps mindset and cost management experience. Knowledge of monitoring and observability frameworks. Salary ...

Details • Salary : £80,000 – £150,000 • Working model : On-site 3+ days/week with UK healthcare clients • Tech stack : Python, NLP libraries, MLflow, Databricks, Azure, simulation tools • Visa : This role cannot sponsor Interested? Please apply below. ...

greenfield analytics rebuild with visible business impact ➜ Hybrid working with a London-based team ➜ Modern data stack: AWS, Python, Tableau, Amplitude, with Snowflake/Databricks under evaluation If this feels like a good fit, apply with your ...

Manual Test, Test Automation Scripts and QA implementation of findings and recommendations from a Data Pipeline Rebuild across additional suitable Domains within a Client Databricks Lakehouse environment. The person must be capable to do quick manual checks (eg. null checks, it means "is_valid_from null etc) and also have ...

/Solution Architect within a consulting or professional services environment Excellent working knowledge of GenAI/Agentic AI , Microsoft Fabric , and/or Databricks Proven experience designing large-scale data platforms (Lakehouse, Data Mesh, Cloud Analytics, Fabric, etc.) Comfort operating in pre-sales and client-facing leadership roles Ability ...

technology environment What You’ll Work With The platform is built on a Microsoft stack with centrally stored data: Azure Machine Learning Microsoft Fabric Databricks Centralised data lake architecture Microsoft Dynamics CRM AI-powered legal tools focused on due diligence and contract review Nice to Haves Experience working on established ...

engineering organisations Strong background in distributed systems, large-scale data pipelines and ML model deployment Deep understanding of modern data stacks such as Spark, Databricks or cloud-native architectures Solid understanding of modern frontend engineering, DevOps knowledge and experience delivering machine learning systems Strong communication, organisation and stakeholder engagement skills ...

engineering organisations Strong background in distributed systems, large-scale data pipelines and ML model deployment Deep understanding of modern data stacks such as Spark, Databricks or cloud-native architectures Solid understanding of modern frontend engineering, DevOps knowledge and experience delivering machine learning systems Strong communication, organisation and stakeholder engagement skills ...

engineering organisations Strong background in distributed systems, large-scale data pipelines and ML model deployment Deep understanding of modern data stacks such as Spark, Databricks or cloud-native architectures Solid understanding of modern frontend engineering, DevOps knowledge and experience delivering machine learning systems Strong communication, organisation and stakeholder engagement skills ...

engineering organisations Strong background in distributed systems, large-scale data pipelines and ML model deployment Deep understanding of modern data stacks such as Spark, Databricks or cloud-native architectures Solid understanding of modern frontend engineering, DevOps knowledge and experience delivering machine learning systems Strong communication, organisation and stakeholder engagement skills ...

engineering organisations Strong background in distributed systems, large-scale data pipelines and ML model deployment Deep understanding of modern data stacks such as Spark, Databricks or cloud-native architectures Solid understanding of modern frontend engineering, DevOps knowledge and experience delivering machine learning systems Strong communication, organisation and stakeholder engagement skills ...

optimisation frameworks/solvers. Strong reasoning about constraints, feasibility, objective design, and numerical optimisation. Experience working with SQL and data-engineering environments such as Databricks or Spark. Ability to design, test, deploy, and maintain production-grade optimisation systems. Desire to become an expert in all facets of the energy systems ...

solutions and AI for a diverse client base across industries, from finance and healthcare to government and tech. As trusted partners of AWS and Databricks, we support organisations in building intelligent systems that drive measurable business outcomes. We are looking for an exceptional New Business Sales person to join ...

following areas: 5+ years of experience with system development using Python Familiarity with data backends like S3, RDS, Postgres, Redis, and Elasticsearch Experience with Databricks Familiarity with Python data visualization libraries Experience implementing monitoring and alerting system using systems like Grafana, Prometheus, or Nagios Spire operates a hybrid work model ...

value telemetry, retention/lifecycle strategy security lake/long retention approaches (e.g., Amazon Security Lake (OCSF) + S3/Parquet; lakehouse stacks like Databricks/Snowflake/Trino/Athena) open detection layer awareness (e.g., OpenSearch Security Analytics; Splunk ES/ESCU where relevant) Background That Fits Well ...

familiarity with modern enterprise technologies is essential: Enterprise SaaS: Salesforce, Certinia, HubSpot, Planhat, Sage Cloud & infrastructure: AWS, Azure, serverless, containers Data & analytics: Snowflake, Databricks, Tableau Integration & automation: Jitterbit, Mulesoft, GraphQL, event-driven architectures, n8n, AWS Bedrock Flows Customer engagement & security: Freshdesk, Intercom, Azure AD B2C What Success Looks Like ...

support advanced analytics, AI, and business intelligence use cases. Proven experience in designing architectures for structured, semi-structured, and unstructured data , leveraging technologies like Databricks, Snowflake, Apache Kafka , and Delta Lake to enable seamless data processing and analytics. Hands-on experience in data integration , including designing and optimising data pipelines … data fabric, automated machine learning (AutoML) , and low-code/no-code analytics platforms , with familiarity in vendor ecosystems (e.g., Microsoft, AWS, Google, Databricks ). Exceptional stakeholder management and presentation skills , with the ability to translate complex data and AI concepts into actionable insights for non-technical audiences, including ...

create unified views to enhance performance and outcomes. Pipeline Development & Automation : Build, optimise, and automate scalable data pipelines using tools like Azure, Fabric, and Databricks; develop reusable components and templates. Governance, Quality & Security : Ensure data quality, governance, classification, retention, and robust security measures across the data lifecycle, supporting compliance … goals. Proficiency in the design and implementation of modern data architectures (ideally Azure/Microsoft Fabric/Data Factory) and modern data warehouse technologies (Databricks, Snowflake) Experience with database technologies such as RDBMS (SQL Server, Oracle) or NoSQL (MongoDB) Knowledge in Apache technologies such as Spark, Kafka and Airflow ...

enablement and to lead a critical data modernization initiative. The role involves transforming a legacy data platform into a future-ready, scalable, cloud-native Databricks-based architecture. You will drive design and implementation of high-performance data pipelines, orchestrate data workflows, and integrate AI/ML capabilities across the stack … unlock real-time intelligence and innovation. Key Responsibilities Lead the architectural modernization from an on-prem/legacy platform to a unified Databricks Lakehouse ecosystem. Architect and optimize data pipelines (batch and streaming) to support AI/ML and GenAI workloads on Databricks. Migrate and re-engineer existing Spark workloads ...

seeking a Databricks Implementation Consultant/Architect for an initial 4-6 weeks contract. The primary objective of this role is to assess and recommend the optimal cloud platform (Azure or Google Cloud Platform) for implementing Databricks. This will involve a detailed evaluation of both platforms against analytical requirements, cost … recommendation for senior stakeholders Role Overview You will lead a comprehensive Cloud & Data Platform Assessment focused on defining a future-ready architecture and positioning Databricks as the core analytics layer. This role requires deep expertise in Databricks implementations across Azure and Google Cloud Platform (GCP). Cloud & Data Platform Assessment ...