151 to 175 of 742 Remote Databricks Jobs

and brownfield projects. Comfortable working independently in a remote setup. Strong communication and stakeholder engagement skills. Nice to Have: Experience with other Azure services such as Azure Data Lake, Databricks, or Power BI. Familiarity with DevOps/DataOps processes and tools. Microsoft Certified: Fabric Analytics Engineer Associate Start Date: ASAP or July start acceptable Apply now to join a forward More ❯

as an Azure Data Architect or Lead Data Engineer. Expertise in Microsoft Fabric, as well as in one or more of the following platforms: Azure Synapse Analytics and Azure Databricks, and supporting data technologies like Power BI, Microsoft Purview, Azure SQL Database, Azure Data Lake, etc. Excellent stakeholder engagement and communication skills. Able to consult, advise, architect and estimate project More ❯

Data Engineer - Leading Pharmaceutical Company - Manchester(Tech Stack: Data Engineer, Databricks, Python, Power BI, Azure, TSQL, ETL, Agile Methodologies)About the Role: We are seeking a talented and experienced Data Engineer on behalf of our client, a leading Software House. This is a fully remote position, offering the opportunity to work with cutting-edge technologies and contribute to exciting projects More ❯

Data Engineer - Leading Pharmaceutical Company - Manchester (Tech Stack: Data Engineer, Databricks, Python, Power BI, Azure, TSQL, ETL, Agile Methodologies) About the Role: We are seeking a talented and experienced Data Engineer on behalf of our client, a leading Software House. This is a fully remote position, offering the opportunity to work with cutting-edge technologies and contribute to exciting projects More ❯

colleagues and customers, contributing to a positive impact. Required technical skills & knowledge: PL/SQL - Python - Microsoft Fabric - Microsoft Synapse - Microsoft SQL Server - Snowflake DBT -Agile - Power BI - AI - Databricks - ML Your profile You have a bachelor's and/or master's degree in computer science or equivalent. You have 2 to 5 years of experience with different data More ❯

data integration, and data governance, and at least 2 years of experience with cloud-based AI/ML technologies (such as tools from AWS, Azure, Google, HuggingFace, OpenAI and Databricks) building ML or applied AI solutions. • A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's • Fundamental knowledge of ML, and basic knowledge of More ❯

and junior colleagues, including line management and development of teams, where required. Essential Skills and Experience: Educated to degree level or have equivalent professional experience. Experience of MS Azure Databricks Experience working with Database technologies such as SQL Server, and Data Warehouse Architecture with knowledge of big data, data lakes and NoSQL. Experience following product/solution development lifecycles using More ❯

to bring: A passion for designing and building a robust data platform Great interpersonal skills and collaborative mindset Strong hands-on experience with modern cloud data warehouses such as Databricks/Snowflake, ideally on AWS Strong Python experience, including deep knowledge of the Python data ecosystem, with hands-on expertise in Spark and Airflow Hands-on experience in all phases More ❯

of AI/ML concepts: supervised and unsupervised learning, GenAI, LLMs, embeddings, MLOps, vector search. Experience designing solutions using tools such as Azure ML, AWS SageMaker, Google Vertex AI, Databricks, LangChain, and Hugging Face. Ability to develop architecture artefacts (e.g., HLDs), estimate effort and cost, and contribute to proposal writing. Strong storytelling and presentation skills; able to build confidence with More ❯

and junior colleagues, including line management and development of teams, where required. Essential Skills and Experience: Educated to degree level or have equivalent professional experience. Experience of MS Azure Databricks Experience working with Database technologies such as SQL Server, and Data Warehouse Architecture with knowledge of big data, data lakes and NoSQL. Experience following product/solution development lifecycles using More ❯

of AI/ML concepts: supervised and unsupervised learning, GenAI, LLMs, embeddings, MLOps, vector search. Experience designing solutions using tools such as Azure ML, AWS SageMaker, Google Vertex AI, Databricks, LangChain, and Hugging Face. Ability to develop architecture artefacts (e.g., HLDs), estimate effort and cost, and contribute to proposal writing. Strong storytelling and presentation skills; able to build confidence with More ❯

to Haves": • Certification in dbt or Google Cloud Platform or related technologies. • Experience with other cloud platforms (e.g. AWS, Azure, Snowflake) and data warehouse/lakehouse technologies (e.g. Redshift, Databricks, Synapse) • Knowledge of distributed big data technologies. • Proficiency in Python. • Familiarity with data governance and compliance frameworks. Your characteristics as a Consultant will include: • Driven by delivering quality work, with More ❯

of AI/ML concepts: supervised and unsupervised learning, GenAI, LLMs, embeddings, MLOps, vector search. Experience designing solutions using tools such as Azure ML, AWS SageMaker, Google Vertex AI, Databricks, LangChain, and Hugging Face. Ability to develop architecture artefacts (e.g., HLDs), estimate effort and cost, and contribute to proposal writing. Strong storytelling and presentation skills; able to build confidence with More ❯

Spark or comparable distributed data processing frameworks, preferably for large-scale data transformations and analytics. Working knowledge of data governance platforms (e.g., Collibra) and cloud-based analytics solutions (e.g., Databricks). Hands-on experience with modern BI tools (e.g., Qlik, Power BI, Tableau) for data visualization and insight generation. Awareness of data access control best practices (e.g., Immuta) and familiarity More ❯

At Elanco (NYSE: ELAN) – it all starts with animals! As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. We’re driven by More ❯

automate ETL pipelines using SQL, SSIS, and Azure Data Factory Support BI delivery, UAT testing, and project work across teams Contribute to our cloud shift using Azure Synapse and Databricks Maintain technical documentation and support data governance Tech Stack Platforms: SQL Server, Azure Synapse, Databricks ETL: SSIS (2014–2022), Azure Data Factory BI Tools: Power BI Other: Power Apps, Power More ❯

automate ETL pipelines using SQL, SSIS, and Azure Data Factory Support BI delivery, UAT testing, and project work across teams Contribute to our cloud shift using Azure Synapse and Databricks Maintain technical documentation and support data governance Tech Stack Platforms: SQL Server, Azure Synapse, Databricks ETL: SSIS (2014–2022), Azure Data Factory BI Tools: Power BI Other: Power Apps, Power More ❯

partners. As we continue to scale our commercial data services, we are looking to hire a mid-level Data Engineer (2+ years' experience) who has worked with Azure and Databricks , and can contribute immediately across pipeline development, categorisation, and optimisation for AI/ML use cases. You'll work with diverse datasets spanning prepaid, financial services, gambling, and payments, supporting … the job: Be part of a high-performing team building modern, scalable data solutions used globally. Work hands-on with cutting-edge Azure technologies, with a strong focus on Databricks and Python development. Play a key role in evolving epay's data architecture and ML-enablement strategies. In the first few months, you would have: Taken ownership of a data … pipeline or transformation flow within Databricks and contributed to its optimisation and reliability. Worked across raw and curated datasets to deliver categorised and enriched data ready for analytics and machine learning use cases. Provided support to analysts and financial stakeholders to validate and improve data accuracy. Collaborated with the wider team to scope, test, and deploy improvements to data quality More ❯

EDW), and enabling advanced analytics, governance, and data protection by design. The role will focus on ensuring data integrity, scalability, security, and performance within the Microsoft Azure ecosystem, leveraging Databricks as the core platform for advanced analytics, data engineering, and machine learning. The Data Architect will collaborate closely with stakeholders across the business and in particular with data engineering, data … scalable solutions that support AI-driven insights and pricing optimisation. What You'll Be Responsible For Design and implement robust, scalable, and secure data architectures within Microsoft Azure, with Databricks as the core platform for data engineering and analytics. Develop and optimise data models, ETL/ELT pipelines, and data processing frameworks using Databricks, Delta Lake, and other Azure data … compliance. Define and maintain data architecture standards, policies, and guidelines, ensuring scalability and long-term sustainability. Optimise and modernise data pipelines for efficiency, cost-effectiveness, and high performance, leveraging Databricks’ capabilities for big data processing and machine learning. Collaborate closely with data engineering, data science, and pricing teams to enable real-time analytics, AI-driven insights, and predictive modelling. Drive More ❯

/item data sets for reporting and analytics Work with Informatica P360 (Product 360) to manage and optimise product data pipelines Develop data workflows and perform advanced analysis using Databricks and Azure Data Services Collaborate with cross-functional teams to gather requirements and translate business needs into technical specs Ensure high data quality, consistency, and alignment across systems Create dashboards … Strong hands-on experience with Informatica/P360 for MDM or product-related data initiatives Proficient in Azure Stack (Azure Data Factory, Azure SQL, Synapse, etc.) Solid experience with Databricks for big data processing and analysis Excellent SQL skills and ability to manipulate, interpret, and present complex data sets Understanding of data governance, data quality, and data modelling principles Strong More ❯

DOE About The Role Ecotricity, the UK’s first true green energy provider, has a strong internal team supporting and developing solutions across multiple mission critical platforms including Databricks on AWS, SQL, Power BI and other cloud centric data solutions. This technical hands-on role, of Data Engineer, will contribute to our delivery of projects, BAU, and helping Ecotricity become … the group/project. We have a training programme in place to further advance your skills. Dedicated time for training is planned in our workloads. Training and certifications in Databricks are paid for by the company. We’re proud to be an ethical company, and this naturally attracts ethical people, making for a good safe working environment and a team … should strive for best practice and technical excellence and be a person that actively looks for continual improvement opportunities. Knowledge and skills Experience as a Data Engineer or Analyst Databricks/Apache Spark SQL/Python BitBucket/GitHub. Advantageous dbt AWS Azure Devops Terraform Atlassian (Jira, Confluence) About Us What's in it for you... Healthcare plan, life assurance More ❯

infrastructure to embed scaled machine learning solutions. You’ll support the implementation of AI, GenAI and Machine Learning on cloud (Experience with Azure, Azure ML, Azure Open AI and Databricks is advantageous). You’ll provide technical thought-leadership to the organisation around the ethical, sustainable and scalable use of AI and machine learning solutions. You’ll actively engage with … deployment (CI/CD). Demonstratable expertise in machine learning methodology, best practices, and frameworks. Understanding of microservices architecture, RESTful API design, development, and integration. Experience with Azure and Databricks is required. Basic understanding of networking concepts within Azure. Familiarity with Docker and Kubernetes is advantageous. Experience within financial/insurance services industry is advantageous. Skills: Strong understanding of Microsoft … Azure and Databricks (Azure ML, Azure Open AI, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory). Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc. Excellent communication skills, both verbal and written. Ability to explain technical concepts to a non-technical audience. Ability to influence stakeholders and More ❯

in modelling tools, architecture repositories, and visual communication. Experience in assessing emerging technologies and their impact on enterprise architecture. Experience with Microsoft Azure technologies (e.g., Data Factory, Synapse, ADLS, Databricks, Power BI). Understanding of enterprise data architecture and analytics platforms. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology … England, United Kingdom 6 days ago Leeds, England, United Kingdom 6 days ago Leeds, England, United Kingdom 6 days ago Leeds, England, United Kingdom 1 week ago Solution Architect - Databricks Admin with GCP/AWS Senior Power Platform & Dynamics 365 Developer Leeds, England, United Kingdom 1 week ago We’re unlocking community knowledge in a new way. Experts add insights More ❯

Looking For: Strong skills in SQL and Power BI. Python is beneficial Solid experience with data modelling and ETL pipelines Knowledge of cloud environments – Azure Experience with Snowflake and Databricks Familiarity with data governance in decentralised environments Excellent communication and stakeholder engagement skills A proactive, problem-solving approach Interested? Apply with your latest CV to find out more. More ❯

with business objectives. Key Responsibilities Data Pipeline Development Architect, implement and maintain real-time and batch data pipelines to handle large datasets efficiently. Employ frameworks such as Apache Spark, Databricks, Snowflake or Airflow to automate ingestion, transformation, and delivery. Data Integration & Transformation Work with Data Analysts to understand source-to-target mappings and quality requirements. Build ETL/ELT workflows … encryption) and ensure regulatory compliance (GDPR). Document data lineage and recommend improvements for data ownership and stewardship. Qualifications Programming: Python, SQL, Scala, Java. Big Data: Apache Spark, Hadoop, Databricks, Snowflake, etc. Cloud: AWS (Glue, Redshift), Azure (Synapse, Data Factory, Fabric), GCP (BigQuery, Dataflow). Data Modelling & Storage: Relational (PostgreSQL, SQL Server), NoSQL (MongoDB, Cassandra), Dimensional modelling. DevOps & Automation: Docker More ❯