301 to 325 of 566 Permanent Databricks Jobs

in the process. We want you to find your spark. Because that’s what drives you to be better, be more and ultimately, be more fulfilled. Senior project Manager (Databricks & Azure) London, UK Contract role 3-5 days(onsite)in a week. Job Description: 8-10 years of experience in client handling, project financial management, and people leadership. Strong background … and decision-making skills. Mandate Skills: Needs to be a very experienced in Data platform delivery in the cloud (ideally Azure) over the last 5 years and ideally delivered Databricks and has energy or finance trading knowledge. Hands-on Project delivery, agile delivery experience, managing backlogs etc., able to demonstrate he can manage a team size of approx. 20+ and … technical in nature the better. Oil and gas/energy Industry experience is preferred, and he/she should also need to have a good experience in Project delivery. Databricks Azure More ❯

Hiring: Snr. Databricks ML Engineer 📍 Remote (UK-based) | 💰 Up to £110,000 We’re working with a cutting-edge AI consultancy who are scaling their ML team with a key hire: a Senior Databricks ML Engineer who’s as comfortable in pre-sales conversations as they are deploying models to production. 🧠 You’ll be someone who: Has deep ML theory … productivity tools and uses them daily Is commercially minded, tech-savvy, and client-facing 🎯 Must-haves: 8+ years in Data Science/ML Engineering 2+ years hands-on with Databricks Strong track record delivering production-grade ML models Solid grasp of MLOps best practices Confident speaking to technical and non-technical stakeholders 🛠️ Tech you’ll be using: Python, SQL, Spark … R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯

Hiring: Snr. Databricks ML Engineer 📍 Remote (UK-based) | 💰 Up to £110,000 We’re working with a cutting-edge AI consultancy who are scaling their ML team with a key hire: a Senior Databricks ML Engineer who’s as comfortable in pre-sales conversations as they are deploying models to production. 🧠 You’ll be someone who: Has deep ML theory … productivity tools and uses them daily Is commercially minded, tech-savvy, and client-facing 🎯 Must-haves: 8+ years in Data Science/ML Engineering 2+ years hands-on with Databricks Strong track record delivering production-grade ML models Solid grasp of MLOps best practices Confident speaking to technical and non-technical stakeholders 🛠️ Tech you’ll be using: Python, SQL, Spark … R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯

At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and … into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create … make a better world! Reporting to Manager, Field Engineering. The impact you will have: Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives. Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a 'champion' and trusted advisor on multiple More ❯

foundation in Data Engineering and experience managing a squad of 47 Data Engineers. Youll bring solid SQL skills, cloud expertise (preferably Azure), and familiarity with tools such as Snowflake, Databricks, ADF, Python, and GenAI. Youll manage a squad of engineers and play a key role in delivering scalable, modern data solutions as part of a group-wide transformation. Requirements: Proven … data architectures and tooling; Financial Services experience is a plus. Experience managing Data Engineering teams Strong SQL and cloud skills (Azure preferred) Familiar with modern data tools (e.g. Snowflake, Databricks, ADF, Python) Track record of building/maintaining robust data pipelines Agile experience Financial Services experience is a bonus If you are an experienced Data Engineering Manager with the required More ❯

technical background but has recently worked in a managerial role focused on mentoring, coaching, reviewing code, and standard setting. The role will focus on the development of the clients Databricks platform (AWS is preferred but open to Azure.GCP experience also), utilising Python and SQL, contribute to CI/CD pipelines, strategy development, cost optimisation and data governance frameworks. Job duties … engineers, helping to mentor and coach the team. Manage the adoption of automated CI/CD pipelines. Implement a new delivery roadmap. Contribute to the development of a new Databricks system in AWS (AWS experience is preferred but they are open to managers with Azure experience). Cost optimisation. Establish data governance frameworks for secure handling of delivery information. Requirements … Manager: 6+ years experience in a hands on data engineer role, with over a years recent experience in a managerial role, coaching similar sized teams. Deep knowledge of the Databricks platform. Hands on Python development experience. SQL optimisation. Experience with large scale data pipeline optimisation. Experience with Streaming and Batch Spark workloads. Strong people management skills. Role: Data Engineering Manager More ❯

related experience plus an associate's degree in Computer Science, Information Technology or other job related degree 6 years-of application development, systems testing Nice to have: AWS Redshift, Databricks- delta Lake, Unity catalog, Data Engineering and processing using Databricks, AI and Machine Learning Amazon Bedrock, AWS Sagemaker, Unified Studio, R Studio/Posit Workbench, R Shiny/Posit Connect More ❯

stack Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow) SQL (Redshift, Snowflake or similar) AWS SageMaker → Azure ML migration, with Docker, Git, Terraform, Airflow/ADF Optional extras: Spark, Databricks, Kubernetes. What you'll bring 3-5+ years building optimisation or recommendation systems at scale. Strong grasp of mathematical optimisation (e.g., linear/integer programming, meta-heuristics) as well … containerise models, deploy via Airflow/ADF, monitor drift, automate retraining. Soft skills: clear comms, concise docs, and a collaborative approach with DS, Eng & Product. Bonus extras: Spark/Databricks, Kubernetes, big-data panel or ad-tech experience. More ❯

data platforms, especially Data Lakehouse, to enhance underwriting analytics and business insights. Key requirements Hands on experience designing and delivering solutions using Azure services including Azure Data Factory, Azure Databricks High proficiency in SQL and Python Insurance background If you are looking for a company who nurture and retain the best talent in the market then apply today. Interviews are More ❯

in Computer Science or equivalent practical experience. - At least 4+ years of server-side software development experience in languages such asPython, Java, Scala, or Go. - Experience withBig Datatechnologies likeSpark, Databricks,andAirflow. - Familiarity with cloud environments such asAWSor GCP and containerization technologies likeDockerandKubernetes. - Strong problem-solving skills and ability to learn new technologies quickly. - Excellent communication skills and ability to work … did you hear about this job? Select Have you worked with Python/Java/Scala/Go? Select Do you have experience with Big Data Technologies like Spark, Databricks,andAirflow? Do you have any experience with Microservices architecture and API development? If yes, please describe briefly. What are you salary expectations? Do you require visa sponsorship to work in More ❯

lake architectures, and data analytics solutions. Ensure best practices in data management, data integration, and data security are adhered to throughout the project lifecycle. Collaborate with AWS, Azure, GCP, Databricks, and Snowflake experts to leverage cloud capabilities and ensure optimal performance of data solutions. Stakeholder Management: Act as the primary point of contact for clients, providing regular project updates and … understanding of data architectures, data integration, and data analytics. Experience with cloud platforms including AWS, Azure, and Google Cloud Platform (GCP). Experience migrating On prem data platforms to Databricks and Snowflake for data engineering and analytics. Experience with SAP systems and SAP HANA is a plus. Excellent project management skills, with proficiency in project management tools (e.g., MS Project More ❯

we ask of you: It's an exciting time to join Markel as our business grows. We are seeking a motivated and detail-oriented Python Developer with experience in Databricks and PySpark to join our dynamic team. What you will bring to the role: Develop and maintain Python scripts and applications using Databricks and PySpark Collaborate with cross-functional teams More ❯

Southeast Asia, Australia, and New Zealand-including many of the world's largest Fortune 1000 and Global 2000 companies. With strong global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise on the horizon, we're scaling quickly toward long-term growth and IPO readiness. Join us as we define the future of SaaS … least one language; Golang or Python preferred Deep understanding of autoscaling, version upgrades, and cloud service optimization Bonus if you're familiar with technologies like Kafka, Elasticsearch, PostgreSQL, ScyllaDB, Databricks, Dagster, Sentry, Kong Employee Benefits Our competitive benefits packages are designed to support our employees' well-being, both at work and at home. Our US based employees enjoy: Competitive compensation More ❯

to improve the pricing and products we offer to our customers and brokers. Our team values continuous learning, you can enjoy free access to top training platforms like DataCamp, Databricks Academy, and LinkedIn Learning. Additionally, we host Lunch and Learn sessions on key business topics hosted by experts across the team and monthly insight sessions, including the Data Science Forum … reporting by providing a consistent view. Getting hands-on with data from its source right through to analysis and reporting, choosing the right software tool for the job, including Databricks (SQL and Python) and from time-to-time Willis Towers Watson software tools Radar Optimiser, Radar Live, and Emblem Essential Skills We don't expect you to know everything from More ❯

to improve the pricing and products we offer to our customers and brokers. Our team values continuous learning, you can enjoy free access to top training platforms like DataCamp, Databricks Academy, and LinkedIn Learning. Additionally, we host Lunch and Learn sessions on key business topics hosted by experts across the team and monthly insight sessions, including the Data Science Forum … reporting by providing a consistent view. Getting hands-on with data from its source right through to analysis and reporting, choosing the right software tool for the job, including Databricks (SQL and Python) and from time-to-time Willis Towers Watson software tools Radar Optimiser, Radar Live, and Emblem Essential Skills We don't expect you to know everything from More ❯

to improve the pricing and products we offer to our customers and brokers. Our team values continuous learning, you can enjoy free access to top training platforms like DataCamp, Databricks Academy, and LinkedIn Learning. Additionally, we host Lunch and Learn sessions on key business topics hosted by experts across the team and monthly insight sessions, including the Data Science Forum … reporting by providing a consistent view. Getting hands-on with data from its source right through to analysis and reporting, choosing the right software tool for the job, including Databricks (SQL and Python) and from time-to-time Willis Towers Watson software tools Radar Optimiser, Radar Live, and Emblem Essential Skills We don't expect you to know everything from More ❯

platform initiative. This is a greenfield opportunity to shape the architecture and engineering of a cutting-edge data solution from scratch. You'll be working with modern technologies like Databricks, Snowflake, and the latest in AWS data tooling, helping to solve complex data challenges that have wide-reaching impact across multiple business domains. Key Requirements: Strong experience in AWS data More ❯

making. Support cloud data migration projects and modern data platform initiatives on Azure. Your Profile: Strong hands-on experience with core Azure data services (Data Factory, Synapse, Data Lake, Databricks, etc.). Proficient in writing complex SQL queries and performance tuning. Solid understanding of ETL/ELT frameworks and data architecture principles. Experience with scripting in Python for data transformation More ❯

database skills Experience with geospatial data and FME Solid track record in technical delivery and team leadership AWS/FME certifications preferred Bonus: Experience with ETL tools (Glue, ADF, Databricks) If you are interested in spearheading data transformation in leading company, please apply now. Alternatively, feel free to reach me directly on h.barmi @ ioassociates . co . uk. TPBN1_UKTJ More ❯

in pre-sales activities such as leading the creation of proposals, tender responses, SOWs (and delivery of sales presentations. Experience of standard data engineering ETL processes Microsoft Fabric or Databricks expertise is highly desirable Being able to lead data analytics and data engineering workshops with senior stakeholders in the role of a subject matter expert. An understanding of traditional and More ❯

meet client needs using advanced analytics tools. Collaborate closely with clients to guide AI solutions from concept to full-scale deployment. Utilize big data tools and platforms, such as Databricks, to create scalable and efficient AI-driven solutions. What You'll Bring: Active TS/SCI security clearance and the ability to work from a SCIF. Based in Washington DC More ❯

ll work across the entire ETL/ELT process, contributing to the design and development of scalable data pipelines. You’ll gain exposure to a modern toolset including AWS, Databricks, Airbyte, and dbt, with the chance to build real-world solutions that deliver impact. You'll also benefit from strong mentorship from an experienced data leader who’s passionate about More ❯

and/or Generative AI projects from concept to deployment Hands-on experience with frameworks such as Hugging Face, LangChain, and open-source LLMs Familiarity with tools such as Databricks and modern MLOps workflows Strong Python skills and familiarity with common data science tools and libraries Experience with cloud platforms (preferably Azure, but AWS or GCP also valuable) Confident communicating More ❯

and/or Generative AI projects from concept to deployment Hands-on experience with frameworks such as Hugging Face, LangChain, and open-source LLMs Familiarity with tools such as Databricks and modern MLOps workflows Strong Python skills and familiarity with common data science tools and libraries Experience with cloud platforms (preferably Azure, but AWS or GCP also valuable) Confident communicating More ❯

in this role, you'll bring a blend of strong technical expertise and people leadership. We're looking for someone with experience in: Microsoft Azure Data services (Data Factory, Databricks, Azure SQL, Synapse) SQL, NoSQL, and API-based data pipelines Agile methodologies such as SCRUM or Kanban Leading engineering teams in complex environments Translating business needs into scalable data architecture More ❯