551 to 575 of 1,855 Databricks Jobs

Lead Data Engineer I am looking for a Data Engineer with strong experience in SQL and Power BI . You will work on their Azure Databricks/Azure Data Lakes/SQL platforms through inception to implementation . Must have the capability to create, implement, and maintain complex data engineering solutions for data acquisition and preparation. Will be expected to More ❯

Lead Data Engineer I am looking for a Data Engineer with strong experience in SQL and Power BI . You will work on their Azure Databricks/Azure Data Lakes/SQL platforms through inception to implementation . Must have the capability to create, implement, and maintain complex data engineering solutions for data acquisition and preparation. Will be expected to More ❯

business challenges. Write, optimize, and implement AI code for model development, integrating generative AI models into scalable production environments. Use tools such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake to build and deploy AI solutions. Collaborate with other engineers on coding best practices, version control, and continuous integration/continuous delivery (CI/CD) processes. Work with … AI models. Hands-on experience working with Large Language Models (LLMs) like GPT, BERT, or similar technologies. Familiarity with AI frameworks such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake. Proficient in coding and optimizing generative AI models, particularly in the areas of prompt engineering and LLMs. Familiarity with AI/ML algorithms and model deployment in cloud More ❯

frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/seaborn, scikit-learn, TensorFlow, Pytorch etc. SQL: Advanced querying for large-scale datasets. Jupyter, Databricks, or notebooks-based workflows for experimentation. Data Access & Engineering Collaboration : Comfort working with cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery) Familiarity with data pipelines and orchestration tools like Airflow More ❯

knowledge of agile practices and delivering agile programs. In-depth knowledge of the financial industry and their IT systems. In-depth knowledge and experience in a last JAVA, Python, Databricks, AWS/Azure. Experience with hiring, developing, and recognizing talent. Preferred Qualifications, Capabilities, and Skills Deep knowledge of design, analytics, development, coding, testing and application programming to deliver data driven … building distributed applications using the core Java Spring framework; building RESTful micro-services using Spring Boot applications; cloud-native development with AWS/Azure. Strong expertise in Python and Databricks, Data Engineering and knowledge of Data Mesh architecture. Experience working at the code level for large datasets, data warehouses and data modelling. Experience building AI models and using LLM to More ❯

of data. Key Responsibilities The data platform team ensures consistent, timely, and accurate data delivery to consumers, while maintaining scalable and efficient pipelines. Our stack consists of: AWS Kinesis Databricks DLT PowerBI/Fabric SQL Server On a day-to-day basis, you will: Develop and maintain new and existing data pipelines. Collaborate on the implementation and ingestion of game … of SQL along with demonstrated knowledge of modern data engineering processes, concepts and life-cycle. Experience using Python for data manipulation and transformation. Experience using modern data platforms like Databricks or Snowflake to do the above. Experience working with large-scale, event-driven data sets. Love gaming and is interested in supporting the game development process. Passionate about helping enable More ❯

decisions that influence product design, application functionality, and technical operations, adhering to best practices and the architectural roadmap. Serve as a subject matter expert in Python/Java and Databricks across the function. Actively contribute to the engineering community, advocating for firmwide frameworks, tools, and Software Development Life Cycle practices. Influence peers and project decision-makers to adopt leading-edge … in AWS and/or Databricks. Proven experience in building and designing large-scale global software solutions. In-depth knowledge and experience in Python/Java and/or Databricks (AWS/Azure). Experience in Data Engineering, working with big data, data warehouses, and understanding data modelling; Data Mesh Architecture and building applications using Data Mesh Architecture. Familiarity with More ❯

output validation. Implement modular AI workflows with orchestration logic for latency, cost, and reliability. Build and maintain CI/CD pipelines, infrastructure-as-code, and container orchestration (Kubernetes, Airflow, Databricks Jobs). Ensure best practices in model tracking, versioning, performance monitoring, logging, and retraining workflows. Collaborate with cross-functional teams to align technical delivery with business and product goals. Drive … drive iterative delivery. Comfortable working independently as well as mentoring others in best practices. Enthusiastic about improving human health and performance through cutting-edge AI. Preferable experience: Experience with Databricks MLOps and model registry tools. Experience fine-tuning LLMs. Background in agentic AI frameworks (e.g., LangGraph, AutoGen, CrewAI). Contributions to relevant open-source projects. Familiarity with monitoring/observability More ❯

data pipelines and storage solutions in cloud environments (AWS, Azure, GCP) - Writing complex queries against relational and non-relational databases - Leading or contributing to key projects involving technologies like Databricks, Snowflake, BigQuery and Fabric - Applying software engineering best practices to data engineering, including CI/CD, monitoring and alerting - Collaborating with cross-functional teams including Data Scientists, Architects and Analysts … practices - Advanced SQL skills and experience designing efficient schemas and optimising performance - Experience with code versioning, dependency management, logging, validation and monitoring - Familiarity with modern data platforms such as Databricks, Snowflake or Microsoft Fabric - Solid understanding of software engineering principles and SDLC best practices - Demonstrated success working across multiple cloud platforms (AWS, Azure, or GCP) - Excellent communication and collaboration skills More ❯

operates within Scrum framework to deliver value to the Consumer Healthcare business. The team supports a variety of applications composed of different technologies like react.js, node,js, vue.js, python, Databricks, Kubernetes, PowerApps, Azure Synapse Analytics, database technologies like PostgreSQL, MongoDB, Microsoft SQL. About The Role The Principal Engineer is experienced software engineer specialising in MERN tech stack to build scalable … operates within Scrum framework to deliver value to the Consumer Healthcare business. The team supports a variety of applications composed of different technologies like react.js, node,js, vue.js, python, Databricks, Kubernetes, PowerApps, Azure Synapse Analytics, database technologies like PostgreSQL, MongoDB, Microsoft SQL. The Principal engineer will champion best practices in software engineering including microservices architecture, API-First and event-based … of modern DevOps platform technologies (e.g. GitHub Actions) incl. infrastructure-as-code (e.g. Terraform) and containers (e.g. Kubernetes, AKS) Knowledge of Security Practices for DevSecOps Knowledge of Azure Data (DataBricks, Synapse Studio), AI (Open AI, AI Search) tools Experience with code quality and code security tools (i.e.: SonarQube, Github Advanced Suite). Experience with observability tools e.g. Datadog Experience with More ❯

years of work-related experience supporting a component of the DoD. • Development experience in mid-level languages, like Java, C++, Python, or SQL • Proficiency in Python. • Experience with Spark, DataBricks, and Structured Query Language (SQL) • Experience in Data wrangling, Machine Learning, Data Visualization, Database Management, Cloud Computing, and Data Governance. • Experience documenting decision charts, processes, and standard operating procedures • Experience … and tool expertise (preferred) Desired Certifications: • Certified Analytics Professional (CAP) • SAS Certified Professional: AI and Machine Learning (preferred) • SAS Certified Advanced Analytics Professional (preferred) • SAS Certified Data Scientist (preferred) • DataBricks Certified Data Engineer Professional (preferred) Travel: Some travel involved, >10%. More ❯

and building scalable cloud data solutions that enable clients to unlock real value from their data assets. Tech you’ll be working with: • Azure Data Factory, Data Lake, Synapse, Databricks • SQL, Python, Spark, DAX • Azure DevOps, CI/CD, Git • Bonus: MLflow, Kubernetes, Kimball modelling, MLOps What you’ll do: • Build & maintain modern cloud-based data pipelines • Translate business needs More ❯

and building scalable cloud data solutions that enable clients to unlock real value from their data assets. Tech you’ll be working with: • Azure Data Factory, Data Lake, Synapse, Databricks • SQL, Python, Spark, DAX • Azure DevOps, CI/CD, Git • Bonus: MLflow, Kubernetes, Kimball modelling, MLOps What you’ll do: • Build & maintain modern cloud-based data pipelines • Translate business needs More ❯

and building scalable cloud data solutions that enable clients to unlock real value from their data assets. 🔧 Tech you’ll be working with: • Azure Data Factory, Data Lake, Synapse, Databricks • SQL, Python, Spark, DAX • Azure DevOps, CI/CD, Git • Bonus: MLflow, Kubernetes, Kimball modelling, MLOps 🧠 What you’ll do: • Build & maintain modern cloud-based data pipelines • Translate business needs More ❯

and building scalable cloud data solutions that enable clients to unlock real value from their data assets. 🔧 Tech you’ll be working with: • Azure Data Factory, Data Lake, Synapse, Databricks • SQL, Python, Spark, DAX • Azure DevOps, CI/CD, Git • Bonus: MLflow, Kubernetes, Kimball modelling, MLOps 🧠 What you’ll do: • Build & maintain modern cloud-based data pipelines • Translate business needs More ❯

and building scalable cloud data solutions that enable clients to unlock real value from their data assets. 🔧 Tech you’ll be working with: • Azure Data Factory, Data Lake, Synapse, Databricks • SQL, Python, Spark, DAX • Azure DevOps, CI/CD, Git • Bonus: MLflow, Kubernetes, Kimball modelling, MLOps 🧠 What you’ll do: • Build & maintain modern cloud-based data pipelines • Translate business needs More ❯

and building scalable cloud data solutions that enable clients to unlock real value from their data assets. 🔧 Tech you’ll be working with: • Azure Data Factory, Data Lake, Synapse, Databricks • SQL, Python, Spark, DAX • Azure DevOps, CI/CD, Git • Bonus: MLflow, Kubernetes, Kimball modelling, MLOps 🧠 What you’ll do: • Build & maintain modern cloud-based data pipelines • Translate business needs More ❯

optimising data models for front office reporting. What you'll need to succeed BI development with strong Power BI (DAX, Power Query) Data engineering experience building production pipelines - with Databricks Good experience with Python, SQL and Spark. Experience working within the Front Office is a must! Understanding of regulatory reporting processes. Financial product knowledge e.g. - equities, fixed income, derivatives. Experience More ❯

informed on industry trends, competitor positioning, and emerging technologies, supporting the sales approach accordingly. Partner & Ecosystem Collaboration Work alongside partners, including cloud providers (Azure, AWS) and data platform vendors (Databricks, Snowflake, Oracle), to enhance solution offerings. Support engagement with Version 1’s delivery and engineering teams to ensure sales commitments align with execution capabilities. Identify co-sell opportunities and collaborate … of Data & Analytics). Data & Technology Knowledge Understanding of data platforms, data engineering, AI/ML, analytics, and cloud ecosystems. Familiarity with technologies such as Azure Data Services, AWS, Databricks, Snowflake, Oracle, and Power BI. Ability to articulate the business impact of data-driven decision-making and AI solutions. Stakeholder Engagement & Communication Strong communication skills, able to simplify complex technical More ❯

optimising data models for front office reporting. What you'll need to succeed BI development with strong Power BI (DAX, Power Query) Data engineering experience building production pipelines - with Databricks Good experience with Python, SQL and Spark. Experience working within the Front Office is a must! Understanding of regulatory reporting processes. Financial product knowledge e.g. - equities, fixed income, derivatives. Experience More ❯

informed on industry trends, competitor positioning, and emerging technologies, supporting the sales approach accordingly. Partner & Ecosystem Collaboration Work alongside partners, including cloud providers (Azure, AWS) and data platform vendors (Databricks, Snowflake, Oracle), to enhance solution offerings. Support engagement with Version 1’s delivery and engineering teams to ensure sales commitments align with execution capabilities. Identify co-sell opportunities and collaborate … of Data & Analytics). Data & Technology Knowledge Understanding of data platforms, data engineering, AI/ML, analytics, and cloud ecosystems. Familiarity with technologies such as Azure Data Services, AWS, Databricks, Snowflake, Oracle, and Power BI. Ability to articulate the business impact of data-driven decision-making and AI solutions. Stakeholder Engagement & Communication Strong communication skills, able to simplify complex technical More ❯

informed on industry trends, competitor positioning, and emerging technologies, supporting the sales approach accordingly. Partner & Ecosystem Collaboration Work alongside partners, including cloud providers (Azure, AWS) and data platform vendors (Databricks, Snowflake, Oracle), to enhance solution offerings. Support engagement with Version 1’s delivery and engineering teams to ensure sales commitments align with execution capabilities. Identify co-sell opportunities and collaborate … of Data & Analytics). Data & Technology Knowledge Understanding of data platforms, data engineering, AI/ML, analytics, and cloud ecosystems. Familiarity with technologies such as Azure Data Services, AWS, Databricks, Snowflake, Oracle, and Power BI. Ability to articulate the business impact of data-driven decision-making and AI solutions. Stakeholder Engagement & Communication Strong communication skills, able to simplify complex technical More ❯

using Python and SQL. Design and implement scalable data solutions using cloud platforms (preferably AWS; Azure experience is also acceptable). Work with data warehouses and data lakes (e.g., Databricks or Microsoft equivalents) to support analytics and reporting needs. Collaborate with DevOps teams to ensure seamless integration, continuous deployment (CICD), and infrastructure automation. Qualifications Minimum of 4 years’ experience as More ❯

the skills below, we'd love to hear from you. Experience working with data: wrangling, cleaning, and transforming datasets for analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest … Language Generation (NLG), or Computer Vision. Awareness of enterprise graph technologies or network analysis techniques. Experience with cloud platforms like Microsoft Azure or Google Cloud Platform (GCP); familiarity with Databricks is a plus. Comfort working in cloud-based or secure environments, with an interest in MLOps or model deployment. Awareness and practice of responsible AI, data ethics, and governance frameworks. More ❯

attention to detail Agile methodology understanding Ability to visualize results and present findings Track record of delivery under competing pressures and deadlines Passion for technology and business impact Ideall Databricks & MS Azure exposure Python experience Desirable Skills: B2B supply chain experience ERP Solutions and ERP Data experience More ❯