1,151 to 1,175 of 1,511 Databricks Jobs

doing Build and maintain ELT pipelines, monitor pipeline health and data freshness Write and maintain config-driven pipeline definitions and deploy workflows to Databricks across a multi-tenant environment Extend our modelling layer, support CI/CD and ingestion projects Collaborate with data and product teams to deliver reliable, well … Python & SQL skills Experience with Apache Spark/PySpark Ability to monitor, troubleshoot, and resolve pipeline failures Familiarity with lakehouse concepts Experience with Git, Databricks, streaming/CDC, AWS, Great Expectations Nice to have Exposure to YAML Experience building analytics data models in Spark What you’ll get in return ...

Design solutions spanning data platforms, applications, integrations, Azure cloud services and security Provide architectural leadership across modern data platforms and technologies such as Azure Databricks Define integration approaches between applications, data platforms, APIs and wider enterprise services Work closely with security, integration, data, cloud and other domain architects to ensure … projects Strong experience designing solutions within Microsoft Azure environments Strong knowledge of modern data platforms, data architectures and integration patterns Experience with Azure Databricks or similar modern data and analytics platforms Good understanding of Azure data and integration services and how they fit within wider enterprise architectures Strong understanding ...

packaging transformation initiatives. Enable the measurement of realised price uplift, pricing adoption, discount effectiveness, and commercial outcomes. Design scalable pricing analytics solutions within Databricks and Power BI environments. Develop governance and reporting frameworks that support executive and board-level decision-making. Key Responsibilities Design and maintain enterprise pricing data models … ability to translate complex data into meaningful business outcomes. Proven experience designing and managing pricing, revenue, or commercial data architectures. Strong expertise in: Databricks Power BI CPQ platforms Experience working within a SaaS or subscription-based business environment. Strong understanding of pricing strategies, discounting, renewals, and revenue performance metrics. Experience ...

data warehouse solutions that support Uline's business growth across North America. Help drive Uline's data modernization strategy by leveraging Azure, Databricks and AI automation to improve data accuracy and operational efficiency. Build scalable data engineering pipelines to enhance enterprise analytics and reporting. Collaborate with cross-functional teams … information technology or related field. 8+ years in data engineering. 5+ years of developing enterprise ETL/data integration solutions using Informatica PowerCenter, SSIS, Databricks or similar technologies. Proven experience writing complex T-SQL and DB performance tuning. Strong troubleshooting skills to resolve data issues. Uline does not participate ...

/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held … GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading ...

combining technical data architecture with stakeholder leadership and people management. You will influence key architectural decisions, support the use of technologies such as Azure Databricks, Unity Catalog and Microsoft Purview, and lead a small team of three architects. Essential experience Strong experience as a Data Architect within a large, complex … stakeholder communication skills, with experience leading designs through governance and supporting delivery through to implementation. Desirable experience Experience with Azure data technologies such as Databricks, Microsoft Purview or Microsoft Fabric. Knowledge of data product thinking, federated data models or domain-based ownership. Experience with TOGAF, Sparx Enterprise Architect or data ...

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 ...

outliers, patterns, relationships and potential sources of bias or leakage. Use SQL and Python to prepare and validate analytical datasets in approved Fabric and Databricks workspaces, build reproducible analyses and create clear visualisations and summaries for technical and business audiences. Form and test hypotheses; identify where further data, enrichment, analysis … Focus Support the Data Programme in establishing foundational data capabilities through high‐quality EDA, data profiling and rapid analytical investigations in agreed Fabric and Databricks workspaces. Build confidence in data quality, metadata, metrics, baselines and user‐focused measurement for priority data and AI products. Surface informed ideas for what more ...

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 ...

governed data solutions. You’ll play a senior technical role in designing, building and optimising data pipelines and data products, using tools such as Databricks, PySpark and Python. About the role As Senior Data Engineer, you’ll help create, maintain and improve high-quality data products that support key business … coach and mentor colleagues where appropriate. Key responsibilities will include: Designing, building and optimising data pipelines and data products. Developing data engineering solutions using Databricks, PySpark and Python. Creating and maintaining notebooks, frameworks and reusable engineering components. Contributing to data governance, technical standards and engineering best practice. Identifying opportunities ...

readiness domains Experience developing data visualizations and dashboards using Qlik or similar tools Experience working within cloud or big data environments such as Databricks or similar platforms Experience working in Agile or iterative development environments Experience supporting government or defense clients (Navy experience preferred) Ability to work onsite … similar environments) is a plus Data analysis and interpretation Python, R, SQL programming Data visualization (Qlik, Tableau, Power BI, etc.) Big data platforms (Databricks, Snowflake, AWS, Azure, Palantir Foundry, etc.) What We Offer : Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that ...

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 ...

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 ...

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 ...

share knowledge across a team. Nice to have: A PhD or equivalent research training in a quantitative field, and/or familiarity with Databricks, dbt, Spark/PySpark, or similar large-scale data platforms. Experience modifying infrastructure-as-code (e.g. Terraform) or contributing to production data pipelines. Experience building shared … others onto them. Experience with UTXO, EVM, or other blockchain data, graph computation, and/or the cryptocurrency ecosystem. Technologies we use: Python SQL Databricks Dbt PySpark/Spark Terraform AWS Postgres AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. ...

intersection of software engineering, applied AI, and technical leadership, turning the latest LLM capabilities into reliable, production-grade systems built on our Azure and Databricks platform. As a senior member of the team, you will not only build high-quality AI solutions, but also help shape technical direction, guide architecture … Hands‐on experience with Azure AI Search or other vector/hybrid search solutions, including vector search, hybrid search, and retrieval evaluation. Experience with Databricks and PySpark for large‐scale data processing. Experience designing evaluation frameworks for LLM systems, including offline metrics, hallucination detection, and production monitoring. Experience implementing responsible ...

outcomes, and comfort working through ambiguity. Desirable MLOps excellence: reproducible pipelines, model versioning, CI/CD, observability, and automated evaluation. Data engineering: proficiency with Databricks, Apache Spark, Delta Lake, MLflow, and SQL; experience integrating datasets and maintaining data quality. Model training and optimisation: experience with pre‐training, fine‐tuning, distributed … optimisation or adapting models for constrained environments. Education: PhD in AI/ML/CS or related field. Beneficial knowledge General tooling and platforms: Databricks, AWS, GCP, GitHub, Docker/Kubernetes, MLflow, Jira. Edge deployments: Nvidia Jetson (e.g. AGX Orin), Raspberry Pi, or other embedded accelerators. Distributed model training & infra ...

pipelines, develop production-ready models, create intuitive dashboards, and help support strong data governance, privacy, and compliance. Leveraging modern tools (e.g., AWS, CoPilot, Snowflake, DataBricks, LLM) you will integrate diverse data, run experiments tied to key performance indicators, and deliver actionable insights. This program offers hands-on experience, mentorship … engineering, with experience handling large, complex datasets. Use programming languages such as SQL and Python. Use data & artificial intelligence tools (e.g., AWS, CoPilot, Snowflake, DataBricks, LLM). Understand data management and governance, including data platforms, pipelines, models, taxonomies, metadata, lineage, privacy, and regulatory compliance. Apply strong quantitative and analytical problem ...

stretch opportunities, encouraging learning across disciplines and setting a culture of accountability, psychological safety and continuous improvement. Own and deliver the roadmap across the Databricks platform, analytics capability and Oracle/PostgreSQL database estate, balancing strategic investment, operational demand and technical debt. Drive modern engineering practice across the data function … with enough hands‐on credibility to review a design and challenge an approach. Practical experience with a public cloud lakehouse or modern data platform; Databricks and Spark experience is an advantage. Solid grounding in relational databases at scale, ideally including Oracle and/or PostgreSQL. Real experience of DevOps practice ...

team has a part to play Platform Leadership: Lead design build, and continuous improvement of scalable data pipelines, Lakehouse architectures, and data products on Databricks and AWS infrastructure. Maintain engineering standards for performance, reliability, and cost. Contribute hands-on to architecture reviews, code reviews, and troubleshooting. Team Management: Manage … production‐grade data pipelines, and strong experience with Python, Scala, or similar programming languages. Experience working with modern cloud data platforms such as Databricks (preferred), Delta Lake, Snowflake, or BigQuery. Proven experience driving complex cross‐functional initiatives from concept through production. Experience leading technical architecture discussions and engineering design reviews. ...

data systems You Will Demonstrate: Deep knowledge of the Azure data stack (Azure SQL Server, CosmosDB, Azure Data Factory, Purview, Synapse, Event Hub, Azure Databricks/Fabric) Extensive data modelling experience: both normalised relational models and de-normalised Star Schema/dimensional models Excellent relational database design skills with expertise … architectural practices Industry specialisation in specific sectors (Engineering, Manufacturing, Healthcare etc.) Public sector or defence experience Experience with modern unified data platforms like Databricks or Microsoft Fabric Understanding of data mesh or data fabric architectural approaches Relevant industry certifications such as TOGAF 9, CDMP (Certified Data Management Professional), or Microsoft ...

What To Expect From The Role Leading enterprise information architecture design, creating semantic, conceptual, logical models that engineering teams translate into Azure Synapse and Databricks based physical implementations. Architecting domain data models for commerce (store, consumer, marketing, omnichannel, e-commerce), manufacturing (production, quality, materials), and supply chain (wholesale, inventory, distribution … modern data mesh/lakehouse patterns, with ability to guide teams through transitional architectures harmonizing both paradigms. Understanding of Azure data platform capabilities (Synapse, Databricks, Unity Catalog, Data Factory) to guide architectural decisions in daily implementations. Track record of guiding teams through major digital transformations, particularly SAP S/4HANA ...

data systems You Will Demonstrate: Deep knowledge of the Azure data stack (Azure SQL Server, CosmosDB, Azure Data Factory, Purview, Synapse, Event Hub, Azure Databricks/Fabric) Extensive data modelling experience: both normalised relational models and de-normalised Star Schema/dimensional models Excellent relational database design skills with expertise … architectural practices Industry specialisation in specific sectors (Engineering, Manufacturing, Healthcare etc.) Public sector or defence experience Experience with modern unified data platforms like Databricks or Microsoft Fabric Understanding of data mesh or data fabric architectural approaches Relevant industry certifications such as TOGAF 9, CDMP (Certified Data Management Professional), or Microsoft ...