1,101 to 1,125 of 1,445 Databricks Jobs

total funding to over $400M. We are backed by world-class investors and operators including Khosla Ventures, Sequoia, Blackstone, Ali Ghodsi (CEO of Databricks), and Frank Slootman (Former CEO of Snowflake). About the Role We're hiring Enterprise Solutions Engineers to own the technical relationship and drive revenue with ...

standard for governing what AI agents can access and do inside third-party applications. With global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and fresh capital from its Series D behind it, Obsidian is scaling rapidly toward long-term growth and IPO readiness. About the Team ...

language used by millions of developers every day. Around him is a team that has built the tools other engineers rely on, at Google, Databricks, Perplexity, JetBrains, Sourcegraph, and Elastic. When it comes to program analysis and developer tooling, these are some of the best people in the world. ...

looking for a Senior Platform Engineering Consultant – Databricks to join EPAM’s Data & Platform Practice in London, working in a hybrid model. In this client-facing role, you’ll lead the design and delivery of scalable, Databricks-centric data and AI platforms, combining deep technical expertise with solution architecture, delivery … work closely with client stakeholders and engineering teams to overcome technical challenges, optimise cloud-native platforms and deliver business-focused outcomes. Strong Databricks expertise is essential, with AWS experience preferred and exposure to Tableau and SAP advantageous.ResponsibilitiesLead and oversee end-to-end data and AI platform delivery, ensuring quality ...

lead a high-performing delivery team of 8+ Individual Contributors (ICs) to build and productionize solutions for customers' data and AI challenges using the Databricks platform. You are responsible for ensuring high-quality technical execution, driving professional services business outcomes, and nurturing elite engineering talent while remaining close … hiring signals. Key Responsibilities & Core Behaviors Connect your team’s day-to-day work to real customer outcomes and business impact. Build excitement about Databricks by sharing customer wins and delivery successes, making each individual feel motivated and appreciated. Reinforce your team’s top delivery priorities. Help your team focus ...

Role Overview We are partnering with an established investment firm undertaking a core data migration from eFront Invest FIA into an Azure Databricks Lakehouse . We are seeking a hands-on Senior Data QA/Data Quality Engineer to lead automated migration testing, source-to-target reconciliation, and pipeline validation. … will be responsible for ensuring that all data flowing from eFront lands in Databricks with 100% mathematical and schema integrity. Key Responsibilities Source-to-Target Reconciliation: Design, build, and execute automated validation queries to compare legacy eFront extracts against target Databricks Delta Lake tables (Bronze, Silver, Gold). Business Logic ...

data services requirements and support modern cloud-based solutions. You will contribute to the standardization and continuous improvement of data support processes across Azure, Databricks, Snowflake, Denodo, and Power BI platforms within Parexel. Team Leadership and People Management Lead, manage, and develop a team of L2 data support specialists, providing … team adherence to IT procedures, quality standards, and data governance requirements. Evaluate and recommend tooling or process improvements to enhance support capability across Azure, Databricks, Snowflake, Denodo, and Power BI environments. Education: Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related technical field (or equivalent work ...

Consult is seeking an experienced Databricks Consultant/Data Engineer to join our client-facing delivery team. You will design, build and optimise data platforms on Databricks, influencing delivery standards and contributing to reusable frameworks and accelerators. You will work with clients to gather requirements, embed CI/ ...

most complex business issues, let’s talk. What you’ll do Design, development, and delivery of enterprise‐grade analytics solutions based on Azure and Databricks technologies Evangelise and evolve best practices for our clients and our team including mentoring your colleagues, supporting their personal development Constantly developing technical skills … latest Azure and Databricks technologies – achieving & maintaining relevant certifications Working directly with high‐profile clients across a variety of sectors to understand their requirements and present solutions to customer sponsors Skills and experiences Demonstrable end‐to‐end experience in Data Engineering, including large‐scale projects Experience in working with ...

Data Engineer | Azure Databricks Fed up with owning just one small piece of the data puzzle? Want a role where you can get involved in everything and actually see the impact of your work? We're working with an established, multi-site property owner and operator that's investing … data capabilities and looking for a Data Engineer to join its small, collaborative in-house team. They've already built a modern Azure Databricks platform using Medallion architecture, with Power BI sitting on top. Now they're moving into an exciting next phase, bringing new data sources onto the platform ...

seeking a Head of Data Platforms to lead the design, operation, and continuous evolution of SCOR’s enterprise data platform ecosystem, centered around Databricks and Palantir Foundry. This role is for a senior leader who combines deep platform expertise, strong engineering leadership, and forward-looking innovation, especially in the agentic … continuously scaling business growth and AI adoption. You will play a critical role in shaping how SCOR leverages modern data platforms such as Databricks and Palantir Foundry (incl. AIP) to deliver high-impact business outcomes across underwriting, pricing, reserving, and corporate functions. You will define and own the platform strategy ...

enterprise data solutions, translating business, reporting, analytics, and data requirements into scalable technical implementations. Design and develop data pipelines and processing solutions using Azure Databricks, Apache Spark/PySpark, SQL, and relevant Azure data services, supporting structured and semi-structured enterprise data. Build and optimize ETL/ELT pipelines, data … Implement data quality, validation, reconciliation, exception handling, logging, monitoring, metadata, and audit controls to improve reliability and trust in data products. Optimize Spark/Databricks workloads, SQL queries, data pipelines, and processing patterns for performance, scalability, reliability, and efficient utilization of platform resources. Establish and enforce development standards, coding practices ...

LLMOps and MLOps, including evaluation, monitoring, CI/CD for AI workflows, and operating AI systems reliably in production. Expert‐level knowledge of the Databricks ecosystem, including Unity Catalog, Mosaic AI, Model Serving, feature engineering, Lakehouse Monitoring, Lakebase, and governance‐led lakehouse architectures. Proficiency in production‐quality Python, with … encourage everyone to have a voice within our collaborative and inclusive team from day one. As a consultancy with strong partnerships across Microsoft, Databricks, AWS, Sigma, Tabular Editor and dbt Labs, you’ll get hands‐on access to some of the most exciting technology and learning opportunities in the industry. ...

Scala, Spark, Python and SQL. Support the implementation and growth of the Quantexa platform. Build reusable frameworks and shared engineering capabilities. Work across Azure, Databricks and cloud-based data platforms. Ensure data quality, integrity, security and platform reliability. Support testing, deployment and automation activities. Collaborate with global teams to deliver … Skills: Strong Data Engineering background. Hands-on experience with Scala and Spark. Experience with SQL and Python. Experience with Azure Data Factory, Azure Databricks and cloud data platforms. ETL and data pipeline development expertise. Experience with Elasticsearch, APIs and modern engineering practices. Exposure to Quantexa would be highly desirable. Financial ...

Scala, Spark, Python and SQL. Support the implementation and growth of the Quantexa platform. Build reusable frameworks and shared engineering capabilities. Work across Azure, Databricks and cloud-based data platforms. Ensure data quality, integrity, security and platform reliability. Support testing, deployment and automation activities. Collaborate with global teams to deliver … Skills: Strong Data Engineering background. Hands-on experience with Scala and Spark. Experience with SQL and Python. Experience with Azure Data Factory, Azure Databricks and cloud data platforms. ETL and data pipeline development expertise. Experience with Elasticsearch, APIs and modern engineering practices. Exposure to Quantexa would be highly desirable. Financial ...

reinsurance in support of specialty lines is a plus. Extensive hands on experience in SQL, Python, Data Integration/Ingestion and associated patterns using Databricks, ADF, Notebooks etc. Experience in developing and supporting Delta Lakes using concepts such as medallion architecture and dimension concepts Working with Cloud platforms such … mass ingestion capabilities and cloud process flows, data quality and master data management Understanding data related security challenges and tooling with specific technologies (e.g. Databricks) Experience in migrating data and associated systems from on-prem to Cloud environments Consulting and collaborative working style creating a culture of accountability and sharing. ...

+ package Active SC or DV Clearance required 2-stage virtual interview process Experience required in Python, SQL, Spark, Databricks and Customer Consultancy We're working with a fast-growing, high-performing technical consultancy seeking an experienced Data Engineer to join a team specialising in data, AI and software solutions … Experience designing and building data-intensive applications and pipelines Strong programming skills in Python and SQL or similar Experience with technologies such as Spark, Databricks, AWS, Azure, GCP and/or Airflow Strong focus on data quality, testing and reliability Solid software engineering fundamentals and high engineering standards Strong communication ...

access layers Ensure platforms are secure, compliant, and production-grade by design Build Modern Data Platforms Design and deliver cloud-native data platforms using Databricks, Snowflake, AWS, and GCP Apply modern architectural patterns: data mesh, data products, and data contracts Integrate deeply with client systems to enable scalable, consumer-oriented … observability, and operational excellence What We’re Looking For Core Engineering Strength Strong Python and SQL Deep experience with Spark and modern data platforms (Databricks/Snowflake) Solid grasp of cloud data services (AWS or GCP) Architecture & Design Judgement Demonstrated ownership of large-scale data platform architectures Strong data modelling ...

excellence. Together, we'll create solutions that make a difference. Job Responsibilities Design and deliver scalable, secure, and reliable data pipelines using Python and Databricks to support enterprise-level business needs. Develop and maintain data models and architectures that enable high-quality analytics and reporting across multiple business functions. Drive … Formal training or certification on data engineering concepts and advanced applied experience. Hands-on experience developing and maintaining data pipelines using Python. Proficiency with Databricks for large-scale data processing and analytics. Experience working with both relational and NoSQL databases. Proficiency across the full data lifecycle, including ingestion, transformation, storage ...

modern data architecture practices. This role offers the opportunity to work on large-scale transformation programmes, gain hands‐on experience with Azure and Databricks, and develop into a fully‐fleshed Data Solution Architect while working across a diverse data landscape spanning retail, digital, customer, loyalty, supply chain, and operational data. … data quality concerns, technical risks, dependencies, and architectural challenges throughout the delivery lifecycle About you Experience working with modern data platforms, with Azure and Databricks experience essential Strong understanding of data modelling, ETL/ELT processes, data pipelines, and integration patterns Experience translating business requirements into technical designs, data flows ...

Develop and maintain custom APIs (REST, GraphQL, webhooks) and integration pipelines connecting AFO/Agentforce to Salesforce Data Cloud (Data 360), cloud warehouses (Snowflake, Databricks), and core ERPs (SAP, Oracle, NetSuite) via MuleSoft or custom middleware. AI-Assisted Engineering: Leverage modern AI tools ( Cursor, Claude, Vibes ) embedded directly into your … Execution. Experience within the Salesforce Ecosystem (Agentforce Specialist, Data Cloud, Apex, Flow, or Headless architectures). Hands-on experience with cloud data platforms (Snowflake, Databricks, BigQuery). Proven ability to create reusable accelerators, reference architectures, connectors, and implementation playbooks from customer deployments. #J-18808-Ljbffr ...

data storage, understanding how the data is created and used, and assessing its completeness, quality and suitability before relying on it for analysis. Databricks, working knowledge: finding and understanding data through Unity Catalog and querying data using SQL and/or Python notebooks. Python, working knowledge: data analysis using libraries … such as pandas, particularly within Databricks notebooks. SAP, working knowledge: SAP ECC and common modules. Power Automate and Power Apps, working knowledge Microsoft 365 Copilot, working knowledge Experience in every desirable technology is not required. Equivalent tools, transferable analytical experience and the ability to learn new platforms will also ...

Data Engineer – Python, Databricks, Snowflake, Azure, Data Engineering, Data Architecture, Data Analytics, Process Automation, Actuarial, Risk, Investment Data – 12-month Fixed Term Contract A Data Engineer with strong skills in Python and the Databricks ecosystem is sought after by a leading pensions and life insurance specialist to help drive … platform. To be successful, you will demonstrate: 4 – 6 years in data engineering, with strong Python coding skills An in-depth understanding of the Databricks ecosystem and building mature automated data-centric services (Snowflake experience will also be considered) A clear and confident communicator with the ability to engage ...

science techniques, including machine learning and their application in financial services. Proficiency in data tools, programming languages, and database technologies, in particular in Azure Databricks, Spark, Spark SQL and Python/pyspark. Understanding of data governance, security, and data quality management principles. Experience working with large, complex datasets and performing … environment with an understanding of operating controls and producing audit evidence Essential Skills: Data pipeline development and optimisation Data modelling and architecture (in Azure Databricks) Programming and scripting for data processing (Spark, Spark SQL, Python, pyspark) Data science and machine learning Data governance and quality assurance Problem-solving and analytical ...

science techniques, including machine learning and their application in financial services.* Proficiency in data tools, programming languages, and database technologies, in particular in Azure Databricks, Spark, Spark SQL and Python/pyspark.* Understanding of data governance, security, and data quality management principles.* Experience working with large, complex datasets and performing … environment with an understanding of operating controls and producing audit evidence**Essential Skills:*** Data pipeline development and optimisation* Data modelling and architecture (in Azure Databricks)* Programming and scripting for data processing (Spark, Spark SQL, Python, pyspark)* Data science and machine learning* Data governance and quality assurance* Problem-solving and analytical ...