776 to 800 of 1,466 Permanent Databricks Jobs

best practices in data modelling and architecture Partner with client teams to translate business requirements into tailored data solutions Work hands-on across Snowflake, Databricks, AWS, Azure, or similar environments Contribute to internal initiatives focused on capability development, tooling, and process improvement Engage with stakeholders to influence technical direction … experience, with at least 2 years hands-on across modern data platforms Strong SQL, data modelling, and query optimisation skills Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric Solid grounding in ETL/ELT pipelines and data warehousing principles Strong communication and problem-solving skills Comfortable working both ...

data governance Experience using data modelling tools such as Erwin or equivalent Experience working with cloud-based data platforms (e.g. Azure Data Lake, Databricks) Familiarity with data cataloguing and lineage tools (e.g. Microsoft Purview) Strong SQL skills and experience with relational and dimensional modelling The ability to translate complex business … analytics use cases Qualifications Essential Significant hands-on experience in data modelling projects, with experience designing and delivering Gold-layer data products in Databricks or a comparable modern lakehouse platform Strong ability to understand business processes, information flows and source systems, translating them into conceptual, logical and physical data models ...

databases Build and optimize AI-driven applications for document intelligence, compliance automation, and conversational banking solutions Develop scalable data pipelines and lakehouse architectures using Databricks, Spark, Snowflake, and cloud-native services Integrate structured and unstructured data sources to support advanced analytics and AI use cases Deploy, monitor, and manage … Scrum delivery environments Strong understanding of Generative AI, LLMs, RAG architectures, embeddings, and vector databases Hands-on expertise in Python, SQL, Spark/PySpark, Databricks, and cloud-native data platforms Experience building and deploying APIs, microservices, and cloud-based AI applications Knowledge of MLOps, CI/CD, model monitoring, governance ...

Requirements Strong Power BI development, data modelling and DAX skills. Hands‐on experience with Microsoft Fabric, or transferable experience from platforms such as Snowflake, Databricks or Synapse. Understanding of Lakehouse and warehouse concepts, medallion architecture, pipelines, dataflows and dev/test/prod environments. Experience building shared semantic models … enthusiastic about modernising analytics. Comfortable mentoring others and promoting best practice. Microsoft Fabric or Power BI certifications. Experience with Azure Data Factory, Synapse, Databricks, Purview, REST APIs or CI/CD. Familiarity with Agile methodologies, Azure DevOps or Jira. #J-18808-Ljbffr ...

beyond traditional reporting towards evidence-led, AI-enabled decision making. You will work alongside data engineers, data architects, platform specialists and consultants across Snowflake, Databricks and Microsoft Fabric to develop practical, production-ready machine learning solutions. We are looking for a Data Scientist with a solid background in Machine Learning … Platform Enablement Work with Data Engineering and Architecture teams to access, prepare and validate data for machine learning workloads. Use platforms such as Snowflake, Databricks and Microsoft Fabric where appropriate for data preparation, experimentation and deployment support. Follow good engineering practices for version control, testing, documentation and reproducibility. Contribute ...

translating business or process requirements into technical solutions and working across technical and non‐technical teams. “Nice To Have” Skills and Experience Experience with Databricks, Spark/PySpark, Delta Lake or comparable technologies. Experience with Celonis, process mining or process intelligence. Experience with enterprise platforms such as Salesforce … applications, workflow automation or data products supporting LLM‐based solutions. Experience with CI/CD, Git, automated testing, observability or visualisation tools such as Databricks SQL, Tableau or Power BI. In Return You will have the opportunity to make an immediate impact on a portfolio of high‐priority Commercial initiatives ...

translating business or process requirements into technical solutions and working across technical and non-technical teams. Nice To Have Skills and Experience Experience with Databricks, Spark/PySpark, Delta Lake or comparable technologies. Experience with Celonis, process mining or process intelligence. Experience with enterprise platforms such as Salesforce … applications, workflow automation or data products supporting LLM-based solutions. Experience with CI/CD, Git, automated testing, observability or visualisation tools such as Databricks SQL, Tableau or Power BI. In Return You will have the opportunity to make an immediate impact on a portfolio of high-priority Commercial initiatives ...

data and analytics. Strong understanding of data analytics, business intelligence, KPI frameworks, operational reporting, data visualisation best practices, and modern cloud data platforms (Databricks, Azure, Power BI, Snowflake, Python). Ability to translate complex business needs into clear product requirements, user stories, and data analysis initiatives, turning data into actionable … quality management, metadata standards, and the ability to identify, analyse, and resolve data quality issues effectively. Technical proficiency in cloud and data technologies, including Databricks, Snowflake, AWS, Azure, relational and NoSQL databases, SQL, Python, and scripting for automation and metadata extraction. Experience working with agile methodologies and tools (Scrum, Kanban ...

data and analytics. Strong understanding of data analytics, business intelligence, KPI frameworks, operational reporting, data visualisation best practices, and modern cloud data platforms (Databricks, Azure, Power BI, Snowflake, Python). Ability to translate complex business needs into clear product requirements, user stories, and data analysis initiatives, turning data into actionable … quality management, metadata standards, and the ability to identify, analyse, and resolve data quality issues effectively. Technical proficiency in cloud and data technologies, including Databricks, Snowflake, AWS, Azure, relational and NoSQL databases, SQL, Python, and scripting for automation and metadata extraction. Experience working with agile methodologies and tools (Scrum, Kanban ...

support business decision-making across Financial Advice Services, Marketing, Operations, Risk, and other key business functions. Operating in a modern cloud-based environment leveraging Databricks, AWS, and Infrastructure as Code, the successful candidate will lead a team of data engineers while partnering closely with Product Managers, Data Analysts, Architects … takes Must-Have Skills & Experience Deep expertise designing and building scalable data pipelines and data products in cloud environments Strong hands-on experience with Databricks, Spark, SQL, and Python Experience developing and optimizing batch and real-time data processing solutions Strong understanding of modern data architecture patterns, including Kimball, Data ...

support business decision-making across Financial Advice Services, Marketing, Operations, Risk, and other key business functions. Operating in a modern cloud-based environment leveraging Databricks, AWS, and Infrastructure as Code, the successful candidate will lead a team of data engineers while partnering closely with Product Managers, Data Analysts, Architects … takes Must-Have Skills & Experience Deep expertise designing and building scalable data pipelines and data products in cloud environments Strong hands-on experience with Databricks, Spark, SQL, and Python Experience developing and optimizing batch and real-time data processing solutions Strong understanding of modern data architecture patterns, including Kimball, Data ...

system boundaries. Partner with Data & Analytics teams to enable ERP data consumption through governed pipelines to platforms such as Azure Data Lake, Fabric and Databricks, using incremental/CDC patterns where appropriate. Protect master data integrity and support consistent cross-country data definitions while recognising legitimate local statutory and operational … Apps, Power Automate and governance of ERP-adjacent low-code solutions. Familiarity with Azure data tooling and modern analytics platforms including Data Factory, Fabric, Databricks and lakehouse concepts. ITIL/Agile delivery experience, service transition and formal change/CAB participation. Relevant Microsoft Dynamics 365, Azure or Power Platform certifications. ...

A bit of background on Rotageek Rotageek helps businesses optimise staff scheduling through data-driven technology. By combining machine learning and advanced algorithms, we help organisations forecast demand, improve workforce management and give employees greater ...

Data Architect Salary: Up to £78,000, based on skills and experience Contract Type: Permanent– 35 hours a week Location: Hybrid working (office based in Birmingham) – typically 2 days in the office per week Closing ...

Project Data Architect Salary: Up to £78,000, based on skills and experience Contract Type: Permanent– 35 hours a week Location: Hybrid working (office based in Birmingham) – typically 2 days in the office per week ...

They are also a key driver in translating Vision and Data Strategy into IT solutions and delivering on them. Strong hands-on expertise in Databricks, PySpark, Python and SQL is central to this role. Key Skills Azure Stack ELT Experience Data Modeling Data Integration & Ingestion Data Manipulation and Processing GitHub … GitHub Actions, Azure DevOps Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest AI based Code developed and AI-built automated data pieplines Key Characteristics Technology expert who constantly pursues knowledge enhancement and has an inherent curiosity to understand work from multiple dimensions. Deep data ...

excellence. Together, we'll create solutions that make a difference. Job Responsibilities Design and deliver scalable, secure, and reliable data pipelines using Python and Databricks to support enterprise-level business needs. Develop and maintain data models and architectures that enable high-quality analytics and reporting across multiple business functions. Drive … Formal training or certification on data engineering concepts and advanced applied experience. Hands-on experience developing and maintaining data pipelines using Python. Proficiency with Databricks for large-scale data processing and analytics. Experience working with both relational and NoSQL databases. Proficiency across the full data lifecycle, including ingestion, transformation, storage ...

databases Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3 years applied experience. Good working knowledge of AWS, Databricks, and Python. Experience across the data lifecycle. Advanced at SQL, including joins and aggregations. Working understanding of NoSQL databases. Significant experience with statistical data analysis ...

Engineer to build, maintain, and optimise robust data pipelines. This role develops efficient ETL/ELT workflows using both Microsoft Fabric tools and the Databricks Lakehouse Platform to deliver clean, production-ready data for enterprise analytics. Job Requirements Strong proficiency in PySpark, Databricks SQL, T-SQL, and handling Delta Lake … formats Hands-on experience building production pipelines inside Databricks workspaces and Fabric capacities Practical knowledge of structural data formats including Parquet, JSON, and CSV Experience with orchestration tools, scheduling dependencies, and error handling in a cloud environment Familiarity with unit testing data pipelines and implementing automated data quality checks ...

Data Engineering Lead - Databricks Bristol (Hybrid - 3 Days per Week Onsite) Up to £75,000 - £90,000 + Bonus + Excellent Benefits We're partnering with a well-established, highly successful UK organisation undergoing a significant data transformation programme. As part of their continued investment in data and technology, they … team of Data Engineers while helping to modernise and scale an enterprise data platform, with a particular focus on the continued development of a Databricks Lakehouse environment . You'll have the opportunity to influence technology decisions, support major transformation initiatives, and deliver trusted data solutions that enable business growth ...

deals while establishing sound architectural blueprints. You will serve as the strategic bridge between C-suite client decision-makers, hyperscaler partners (AWS, Azure, GCP, Databricks, Snowflake), and internal delivery teams. You will architect end-to-end solutions spanning modern data platforms, medallion architectures, Enterprise AI, and Agentic workflows, ensuring technical … large-scale enterprise data & AI deals with executive business stakeholders. Hands-on experience in co-selling with cloud platforms and hyperscalers (Azure, AWS, GCP, Databricks, Snowflake). Outstanding communication skills, with a demonstrated ability to translate complex technical concepts for both developer teams and C-suite audiences. A global mindset ...

deals while establishing sound architectural blueprints. You will serve as the strategic bridge between C-suite client decision-makers, hyperscaler partners (AWS, Azure, GCP, Databricks, Snowflake), and internal delivery teams. You will architect end-to-end solutions spanning modern data platforms, medallion architectures, Enterprise AI, and Agentic workflows, ensuring technical … large-scale enterprise data & AI deals with executive business stakeholders. Hands-on experience in co-selling with cloud platforms and hyperscalers (Azure, AWS, GCP, Databricks, Snowflake). Outstanding communication skills, with a demonstrated ability to translate complex technical concepts for both developer teams and C-suite audiences. A global mindset ...

deals while establishing sound architectural blueprints. You will serve as the strategic bridge between C-suite client decision-makers, hyperscaler partners (AWS, Azure, GCP, Databricks, Snowflake), and internal delivery teams. You will architect end-to-end solutions spanning modern data platforms, medallion architectures, Enterprise AI, and Agentic workflows, ensuring technical … large-scale enterprise data & AI deals with executive business stakeholders. Hands-on experience in co-selling with cloud platforms and hyperscalers (Azure, AWS, GCP, Databricks, Snowflake). Outstanding communication skills, with a demonstrated ability to translate complex technical concepts for both developer teams and C-suite audiences. A global mindset ...

Moody’s is seeking a Databricks Solution Engineer to design, build, and support scalable data, analytics, and AI solutions on the Databricks Lakehouse Platform. You will work with enterprise stakeholders to translate requirements into scalable, cost-efficient data products. The role requires 6+ years in data/analytics engineering, 4+ … years on Databricks, and strong Spark, SQL, Python skills. You will integrate Salesforce, Power BI, Snowflake, and Fabric, while advancing CI/CD, governance, and #J-18808-Ljbffr ...

documents to a completely new level of performance. Aufgaben Modern Data Platforms: Design, build, and operate scalable data pipelines and lakehouse architectures on Azure Databricks (Delta Lake, Unity Catalog) for structured and unstructured data. AI-Ready Data & ML Enablement: Develop data models and pipelines for Machine Learning and Generative … collaborate with data scientists to operationalize ML workflows. Generative AI & RAG: Build RAG-based architectures, embedding pipelines, and vector search on Databricks, including Genie and similar AI-driven data access layers, to power business-facing services. Workflow Automation & Orchestration: Automate recurring business processes by connecting enterprise systems (ERP, CRM, production ...