351 to 375 of 867 Permanent Databricks Jobs

solve challenges. Proficiency in a programming language (e.g., Scala, Python, Java, C#) with understanding of domain modelling and application development. Knowledge of data management platforms (SQL, NoSQL, Spark/Databricks). Experience with modern engineering tools (Git, CI/CD), cloud platforms (Azure, AWS), and Infrastructure as Code (Terraform, Pulumi). Familiarity with various frameworks across front-end and back More ❯

we’ll help you develop along the way. A relevant data or AI qualification e.g. CDMC, DAMA, DCAM, ISACA Experience with data and AI platforms and products e.g. Snowflake, Databricks, Microsoft Purview, Collibra, Informatica or AWS Experience of implementing and refining data and AI analytics tools to automate internal audit processes, enhancing efficiency and accuracy. Hands-on experience with data More ❯

science libraries and tools), and version control tools like GitHub. Expertise in data wrangling, modelling, data visualisation, and building end-to-end data science solutions. Experience or familiarity with Databricks, Agile Framework, Asset Bundles, MLOps Stacks, GitHub actions and Generative AI is a plus. Proven ability to balance multiple priorities, manage projects from start to finish, and deliver high-quality More ❯

.NET, dbt, Airflow and cloud-native data tools (AWS, GCP or Azure) You have strong knowledge of data architecture patterns - including Lakehouse and modern warehouse design (e.g. Snowflake, BigQuery, Databricks) You know how to build with performance, security and maintainability in mind You can comfortably influence and guide both technical and non-technical stakeholders You're passionate about helping others More ❯

Coding & Implementation: 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. Data Management More ❯

Proven ability to interpret complex business requirements and translate them into scalable technical solutions Solid hands-on experience working with Python for data handling, transformation, or orchestration Familiarity with Databricks, preferably in an Azure environment Excellent communication and collaboration skills-you're approachable, professional, and confident engaging with both technical and non-technical stakeholders Strong self-management-able to juggle More ❯

field with 3+ years experience. PREFERRED QUALIFICATIONS - Full-stack development experience e.g. React/Angular and integration with backend - AWS experience or working knowledge of AWS partner solutions like Databricks or Snowflake - Expertise of implementing GenAI in production including LLMs, RAG architectures, vector databases. - Experience with automation and scripting (e.g., Terraform, Python). - Knowledge of security and compliance standards (e.g. More ❯

of our data infrastructure to power our machine learning and analytics workloads to support the companies growth. Our data stack: We work with a modern data stack built on Databricks and AWS with python and pyspark as our primary tools. In this role, you'll get to: Own business critical components and perform meaningful work with an impact on our More ❯

technologies Cloud migration frameworks (Azure functions, Logic Apps, App Services) Java or Microsoft technologies, Azure platform and .Net ecosystem Database technologies and platforms like SQL, NoSQL, Data Lake, Snowflake, Databricks, MongoDB, Oracle Observability platforms like Splunk, Dynatrace, Datadog, Grafana About Royal London We're the UK's largest mutual life, pensions and investment company, offering protection, long-term savings and More ❯

to a wide variety of audiences. For candidates applying for the Senior Consultant role, we additionally require: Working experience with at least one Cloud Platform (AWS, Azure, GCP, Snowflake, Databricks etc.) and exposure to Cloud Architecture principles. Demonstrated experience in people management, product owner or workstream management. Experience supporting and participating in the commercial cycle, including defining project scope and More ❯

to a wide variety of audiences. For candidates applying for the Senior Consultant role, we additionally require: Working experience with at least one Cloud Platform (AWS, Azure, GCP, Snowflake, Databricks etc.) and exposure to Cloud Architecture principles. Demonstrated experience in people management, product owner or workstream management. Experience supporting and participating in the commercial cycle, including defining project scope and More ❯

to a wide variety of audiences. For candidates applying for the Senior Consultant role, we additionally require: Working experience with at least one Cloud Platform (AWS, Azure, GCP, Snowflake, Databricks etc.) and exposure to Cloud Architecture principles. Demonstrated experience in people management, product owner or workstream management. Experience supporting and participating in the commercial cycle, including defining project scope and More ❯

Principal Data Engineer Hybrid - London – weekly office visit We’re working with a cutting-edge SaaS business that's revolutionising how organisations integrate systems, manage data, and deliver insights. This high-growth, product-led company offers a game-changing, AI More ❯

We are seeking a Senior Data Engineer for our Oil & Gas Operator client based in Aberdeen. This is a STAFF role working as part of a Data Team where you will be focussed on process and looking for improvements. As More ❯

Principal Data Engineer Hybrid - London – weekly office visit We’re working with a cutting-edge SaaS business that's revolutionising how organisations integrate systems, manage data, and deliver insights. This high-growth, product-led company offers a game-changing, AI More ❯

Job Description Make sure to apply quickly in order to maximise your chances of being considered for an interview Read the complete job description below. Join us as we embark on a journey of collaboration and innovation, where your unique More ❯

Job Description Please make an application promptly if you are a good match for this role due to high levels of interest. We have an exciting and rewarding opportunity for you to take your software engineering career to the next More ❯

Strategic planning and execution of projects, ensuring alignment with broader company objectives and vision. Extensive hands-on software engineering background, primarily based around their core data capabilities of Python, Databricks, AWS, Azure. Ideally, you will have a background of working within data analytics/data intelligence organisations. Strong experience designing, building, and supporting infrastructure in cloud environments. Deep understanding of More ❯

Strategic planning and execution of projects, ensuring alignment with broader company objectives and vision. Extensive hands-on software engineering background, primarily based around their core data capabilities of Python, Databricks, AWS, Azure. Ideally, you will have a background of working within data analytics/data intelligence organisations. Strong experience designing, building, and supporting infrastructure in cloud environments. Deep understanding of More ❯

products and analytics. Key Responsibilities: Lead and grow a small team of data engineers and developers (initially 2 headcount) Drive the end-to-end delivery of data solutions using Databricks Define and implement scalable, secure, and high-performing data platform architecture Establish strong partnerships with business stakeholders to understand requirements and deliver fit-for-purpose solutions Champion best practices in … data governance, pipeline development, and cloud infrastructure Monitor and manage platform performance, resolving issues efficiently Stay current on the evolving Databricks ecosystem and emerging technologies to keep the platform innovative Maintain clear technical documentation and ensure delivery consistency Experience Required: 5+ years in data engineering or platform roles, with 2+ years in a management or technical leadership position Proven hands … on experience with Databricks, with broader exposure to platforms such as Hadoop or Spark Strong understanding of data processing, ETL pipelines, and warehousing principles Experience with cloud services (AWS or Azure preferred) Excellent leadership, stakeholder engagement, and communication skills Ability to define technical roadmaps and influence architecture decisions Databricks certification is a plus Skills and Competencies: Databricks and Spark ecosystem More ❯

Data Engineer Azure | Databricks | PySpark | Hybrid Cloud | Fabric Location: London (Hybrid) Salary: £85,000 + Bonus + Benefits Type: Permanent A Data Engineer is required for a fast-evolving (re)insurance business at the heart of the Lloyd's market, currently undergoing a major data transformation. With a strong foundation in the industry and a clear vision for the future … looking for a Data Engineer to join their growing team. This is a hands-on role focused on building scalable data pipelines and enhancing a modern Lakehouse architecture using Databricks, PySpark, and Azure. The environment is currently hybrid cloud and on-prem, with a strategic move towards Microsoft Fabric-so experience across both is highly valued. What you'll be … doing: Building and maintaining robust data pipelines using Databricks, PySpark, and Azure Data Factory. Enhance and maintain a Lakehouse architecture using Medallion principles Working across both cloud and on-prem environments, supporting the transition to Microsoft Fabric. Collaborating with stakeholders across Underwriting, Actuarial, and Finance to deliver high-impact data solutions. Support DevOps practices and CI/CD workflows in More ❯

needs) Contract duration: 6 months Location: London JOB DETAILS Role Title: Senior Data Engineer Note: (Please do not submit the same profiles as for 111721-1) Required Core Skills: Databricks, AWS, Python, Pyspark, data modelling Minimum years of experience: 7 years Job Description: Must have hands-on experience in designing, developing, and maintaining data pipelines and data streams. Must have … Gold) using ADF, Python, and PySpark. Must have hands-on experience with PySpark, Python, AWS, data modelling. Must have experience in ETL processes. Must have hands-on experience in Databricks development. Good to have experience in developing and maintaining data integrity and accuracy, data governance, and data security policies and procedures. Must have hands-on experience in SQL development. Excellent More ❯

Core Responsibilities: Contribute as a Senior Data/AI Engineer within the client's internal Data Center of Excellence. Maintain and evolve a modern cloud-based data platform using Databricks and Azure. Lead technical deployment and ownership of advanced AI services including search, document intelligence, and large language models. Implement governance, compliance, and security best practices across Azure-based services. … Of the Collaborate with internal stakeholders and cross-functional teams to deliver AI-enabled solutions. Qualifications Proven experience as a Data/AI Engineer Expert in Databricks with at least 3 years of practical experience Experience with Azure AI Services Experience with Infrastructure as Code using Terraform Possibility to work remotely (up to 50%). Skills AI Azure Services Level … Expert This includes; AI Foundry, AI Search, OpenAI, Document Intelligence Azure Level Expert Azure platform and infrastructure management Data Pipeline & ETL Processes Level Advanced Databricks Level Expert Infrastructure As Code (Terraform) Level Advanced Performance Tuning & Optimization Level Advanced Python Level Advanced Spark Level Intermediate SQL Level Advanced More ❯

The Machine Learning (ML) Practice team is a highly specialized customer-facing ML team at Databricks facing an increasing demand for Large Language Model (LLM)-based solutions. We deliver professional services engagements to help our customers build, scale, and optimize ML pipelines, as well as put those pipelines into production. We work cross-functionally to shape long-term strategic priorities … teams on various data science such as architecture, tooling, and best practices Present at conferences such as Data+AI Summit Provide technical mentorship to the larger ML SME community in Databricks Collaborate cross-functionally with the product and engineering teams to define priorities and influence the product roadmap What we look for: Experience building Generative AI applications, including RAG, agents, text2sql … and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through ML Preferred Experience working with Databricks & Apache Spark to process large-scale distributed datasets About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over More ❯

the hunt for a Data Engineering Unit Head to join the IT Data and Analytics team, where you’ll spearhead innovation across cloud-native architecture, Azure Data Platform, and Databricks ecosystems—powering insights across an entire banking empire. Why Join? Opportunity to relocate and live in Manila, Philippines Influence the strategy of a banking giant in hyper-growth mode Senior … engineering excellence What You’ll Lead: • Data platform strategy, standards, and architecture at scale • End-to-end data pipeline optimization using Azure Data Factory, SQL, Cosmos DB, Streaming, and Databricks • A high-performing team of engineers, analysts, and architects • Strategic vendor partnerships and enterprise data governance initiatives • Cross-functional collaboration with business leaders and technical stakeholders What You’ll Bring … 10+ years in data engineering, with solid leadership experience Mastery of Azure cloud data services and Databricks Expertise in large-scale data platforms, ETL frameworks, and DevOps practices Passion for building team capability, coaching talent, and enforcing engineering standards Background in banking/finance? MUST HAVE Location: Full-time role requiring relocation to Manila, Philippines. Reporting to: CIO – Head of More ❯