701 to 725 of 862 Remote Databricks Jobs

working with key stakeholders in large financial institutions, good communication is essential. Requirements: Python Expertise Supervised and Unsupervised Learning NLP and OCR Experience Exposure to Modern Cloud Platforms (EG. Databricks, AWS) Abillity to Communicate Technical Concepts Nice to Have: Financial Services Experience Interviews ongoing don't miss your chance to secure the future of your career! Contact me @ (url removed … or on (phone number removed). Data Science, Data Scientist, AI, ML, Random Forest, Databricks, SageMaker, Regression, Gradient Boosting, NLP, Palantir, Insurance, Banking More ❯

in star schema structure & design and understanding of Kimball & Inmon hybrid data warehouse design. Cloud Data Products: Experience with Data Factory, Event Hubs, Data Lake, Synapse, Azure SQL Server. Databricks & PySpark: Expertise in developing with Databricks and coding with PySpark and Spark SQL. Coding Standards: Ensuring ETL code is standardized, self-documenting, and reliably testable. Data Encryption: Knowledge of best More ❯

to combine technical leadership with hands-on development, working with cutting-edge technologies to shape the future of logistics. What You'll Do: Lead the technical direction of our Databricks Common Data Platform Drive hands-on development with high-quality Python and SQL code Mentor and coach a distributed team of data engineers Champion CI/CD and automated testing … Work closely with the Head of Data Engineering to align with strategic goals Must-Have Experience: 8+ years in data engineering, including leadership experience Expert-level knowledge of the Databricks platform Advanced Python development for logistics and delivery optimisation Mastery of SQL for large-scale, nationwide operations Strong understanding of data modelling for parcel tracking systems Experience with both streaming More ❯

enterprise-level security and governance standards Support and enforce Data Mesh architectural principles to enable decentralized data product sharing Resolve incidents and service requests related to big data infrastructure (Databricks, Data Factory, Key Vault, firewall configs, etc.) Collaborate with other teams on solution architecture , including networking , infrastructure design , and integration of new cloud services Participate in Agile ceremonies and planning … multicultural, distributed team Automate and monitor cloud deployments using Infrastructure as Code and CI/CD pipelines Required Skills & Experience Solid hands-on experience with Azure Data Lake Gen2 , Databricks (mandatory), and Azure Data Factory Strong understanding of Azure security concepts: RBAC, ACLs, AAD, Key Vault Knowledge of Data Mesh principles and data governance frameworks Scripting/programming skills in More ❯

value driven outcomes Supporting teams in an agile methodology with scrum ceremonies and appropriate project governance artefacts Leading diverse and interesting projects that utilise Azure Data Platform services, including Databricks and Microsoft Fabric. Collaborating with and guiding teams composed of both Arreoblue, customer members and other third parties. Your role will be dynamic and varied, offering the chance to work … skills are key as you’ll often manage complex stakeholder landscapes. Experience in leading, coaching, and developing high-performing teams is essential. Why Choose Arreoblue As partners with Microsoft, Databricks, BlakYaks and Datometry, we offer an expansive range of training, knowledge, and opportunities within the data and delivery industry. We are committed to investing in our people, and this is More ❯

team and an Insights team, recognising the importance of close collaboration of data teams to quickly and efficiently deliver business value. Our cloud-based technology stack builds on Azure Databricks to ensure data is reliably and easily available to the business. As we continue to grow, we are moving towards a group data platform and are looking for someone to … members, as well as planning and managing their delivery a combination of data assets, such as ERP, CRM, e-commerce, and people data a multi-country data platform Azure Databricks, Fivetran and dbt Good understanding of data governance and GDPR Desire to work closely with business stakeholders and see work delivering real world impact and enabling a data culture Ability More ❯

training and deployment Skills criteria Strong python programming skills Good knowledge of software engineering best practice Experience with TDD (pytest or equivalent) Experience with cloud native deployments (currently in Databricks and Azure) Experience with Databricks Experience with managed endpoints, AKS or equivalent Experience with VCS Experience with CI/CD Understanding/identifying opportunity to apply machine learning knowledge to More ❯

training and deployment Skills criteria ??Strong python programming skills ??Good knowledge of software engineering best practice ??Experience with TDD (pytest or equivalent) ??Experience with cloud native deployments (currently in Databricks and Azure) ??Experience with Databricks ??Experience with managed endpoints, AKS or equivalent ??Experience with VCS ??Experience with CI/CD ??Understanding/identifying opportunity to apply machine learning knowledge to More ❯

JOB DETAILS - £500-£550 PER DAY - OUTSIDE IR35 - REMOTE ROLE - 3-MONTH CONTRACT WITH POTENTIAL FOR EXTENSION - NPPV3 AND SC CLEARANCE REQUIRED SKILLS - Extensive experience in Azure Data Factory, Databricks and Synapse. - Knowledge of Oracle. - Understanding of security protocols, dealing with policing data and clearance requirements. RESPONSIBILITIES - Strong collaboration skills with other teams and colleagues within the organisation. - Ability to More ❯

/B testing framework Automating marketing analytics processes, particularly around experimentation Handling complex data and working with incomplete data Measuring campaign impact and refining marketing strategies Tech Stack: Core: Databricks, SQL, Python, PySpark Nice to Have: R, dashboarding tools Ideal Candidate: 4-5 years of commercial experience in data science, preferably in an eCommerce or marketing analytics environment Proven experience More ❯

data platforms using cloud technologies (Azure, AWS, or GCP) Strong knowledge of data modelling, data governance, and integration patterns Hands-on experience with big data technologies such as PySpark, Databricks, or similar Ability to work closely with stakeholders to translate business needs into robust architectural solutions Bonus Experience with Palantir Foundry or similar enterprise-scale data platforms is highly desirable More ❯

our systems, and complement our wider data architecture. Be a subject matter expert in the use and management of our data platform tools such as Azure Data Factory, Azure Databricks, Unity Catalogue, and SQL Server. Apply best practices to ensure our pipelines are transparent, our data lineage is understood, and our data quality is maximized. Be a hands-on developer More ❯

a Data Architect within a regulated environment (e.g., financial services, government, healthcare). Skilled in both strategic planning and hands-on data modelling. Familiarity with modern data stacks (Snowflake, Databricks, dbt) and cloud platforms (AWS, Azure, GCP). Strong communicator with the ability to lead discussions, shape roadmaps, and influence outcomes. Comfortable working in ambiguous environments and guiding organisations through More ❯

Salesforce Data Cloud Implentations. A Certification in Salesforce Data Cloud. Strong experience in APIs & third-party integrations. Experience integrating with cloud-based data warehouses/lakes (I.e. Snowflake, AWS, Databricks, big Query) and data analytics tools (e.g. Tableau). A background in consultancy. Salesforce Data Cloud Specialist key details: Up to £88k salary Performance bonus. Flexible hybrid working, London office. More ❯

improvement. Requirements: 5+ years’ experience in Data product management, focusing on Machine Learning in the insurance sector. Experience establishing and managing governance protocols. Strong knowledge of Azure products and Databricks platform. Background in ML analytics and deploying ML products. Proven leadership in mentoring teams and fostering continuous improvement. Excellent communication skills, attention to detail, and a self-starter attitude. To More ❯

Infrastructure as Code (Terraform or ARM Templates). Knowledge of Networking and Security best practices within Azure. Solid understanding of Azure AD for managing identities and permissions. ADF, Synapse, Databricks (Desirable) If you would like to be considered for the role and feel you would be an ideal fit with our team then please send your CV to us by More ❯

We're Looking For: Deep expertise in real-time data processing and streaming technologies (e.g. Kafka, Flink, Confluent, Redis). Experience with data platforms and pipelines in cloud environments (Databricks on AWS, Glue, Azure Data Factory). A track record of hands-on data architecture in fast-paced, product-led environments. Prior leadership of small, high-performing teams More ❯

We're Looking For: Deep expertise in real-time data processing and streaming technologies (e.g. Kafka, Flink, Confluent, Redis). Experience with data platforms and pipelines in cloud environments (Databricks on AWS, Glue, Azure Data Factory). A track record of hands-on data architecture in fast-paced, product-led environments. Prior leadership of small, high-performing teams More ❯

We're Looking For: Deep expertise in real-time data processing and streaming technologies (e.g. Kafka, Flink, Confluent, Redis). Experience with data platforms and pipelines in cloud environments (Databricks on AWS, Glue, Azure Data Factory). A track record of hands-on data architecture in fast-paced, product-led environments. Prior leadership of small, high-performing teams More ❯

or statistical modeling. Strong hands-on experience with ML frameworks (PyTorch, TensorFlow, Keras). Proficiency in Python and C/C++. Experience with scalable data tools (e.g., PySpark, Kubernetes, Databricks, Apache Arrow). Proven ability to manage GPU-intensive data processing jobs. 4+ years of applied research or industry experience. Creative problem-solver with a bias for action and a More ❯

solution architecture, Microsoft Azure and Kubernetes certifications is a plus Proficiency in cloud computing concepts, such as IaaS, PaaS, SaaS, microservices, serverless, etc. Knowledge of Azure services and tools ( Databricks would be a plus) Experience in Kubernetes and container orchestration, such as Docker, Helm, AKS, etc. Ability to design and implement cloud solutions using various Azure and Kubernetes components Strong More ❯

manual processes. Required Qualifications & Skills Excellent proficiency in SQL is essential. Experience as an Analytics Engineer, Data Engineer, or similar roles. Experience with data warehousing technologies such as Snowflake, Databricks, and/or dbt. Experience in data pipeline and model development. Ability to build efficient, robust, and scalable solutions from requirements. Knowledge of orchestration and version control tools like Airflow More ❯

manual processes where possible. Required Qualifications & Skills Proficiency in SQL is essential. Experience as an Analytics Engineer, Data Engineer, or similar. Experience with data warehousing technologies such as Snowflake, Databricks, and/or dbt. Experience in data pipeline and data model development. Ability to build efficient, robust, scalable solutions from requirements. Knowledge of orchestration and version control tools like Airflow More ❯

platform for development and deploying a range of models. Contribute to our continuously evolving way of working and internal packages. Work on a modern tech stack. We use Python, Databricks, AzureML, MLflow and have CPU and GPU clusters available for large training jobs. Work together with diverse international colleagues based in France, Germany, Italy, Netherlands and Spain Your profile Academic More ❯

or statistical modeling. Strong hands-on experience with ML frameworks (PyTorch, TensorFlow, Keras). Proficiency in Python and C/C++. Experience with scalable data tools (e.g., PySpark, Kubernetes, Databricks, Apache Arrow). Proven ability to manage GPU-intensive data processing jobs. 4+ years of applied research or industry experience. Creative problem-solver with a bias for action and a More ❯