76 to 100 of 551 Remote/Hybrid Databricks Jobs

experience designing and evolving enterprise-scale data platforms Deep expertise in cloud-based data and analytics services on the Microsoft Azure platform (e.g. Azure Databricks, Azure ML) Experience shaping proofs of concept and evolving designs into production solutions Strong stakeholder engagement skills, including engagement with senior stakeholders Experience leading ...

previous role in a lead or senior engineering capacity Proven track record leading data engineering delivery within a Microsoft-first environment - Azure Data Factory, Databricks, Synapse, Azure Data Lake Hands‐on experience building and managing ETL/ELT pipelines, data lakes and data warehouses in a cloud environment Proficient ...

development and programme management experience The autonomy, judgement and drive to progress complex initiatives with limited direction Experience of Microsoft data technologies, Power BI, Databricks, unified data platforms or medallion architecture would be particularly useful. A data management qualification such as CDMP would be advantageous but is not essential. Substantial ...

systems at scale; such as Pulsar, Kafka, RedPanda. Must have knowledge and experience automatically provisioning and supporting multiple big data technologies; such as MongoDB, DataBricks, Big Query, Hadoop, Spark, Trino, DataLakes/Lakehouse Architectures. Infrastructure management with Terraform Experience with Github or any other source control Knowledge of Scripting/ ...

architecture design experience. Lead initiatives to build and deploy data products to support data scientists, engineers and agentic analysts. Experience with cloud data warehousing (Databricks preferred), IaC and Astronomer/Airflow. Mentor and support junior engineers and partner with data scientists on data engineering projects. Additional Information PMI and cash ...

cloud infrastructure underpinning data systems through a DevOps approach Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data Meshes) and the different ...

across comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised or Kubernetes-based deployment approaches where relevant You will also work with ...

across comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised or Kubernetes-based deployment approaches where relevant You will also work with ...

Alto Software Group is hiring a Senior Data Platform Engineer in London. You will scale and operate a data lakehouse powering internal analytics and data products, migrating from legacy systems and building reusable data pipelines. ...

days in the office) Employment Type: Permanent to start ASAP Summary of the role: We’re looking for a highly skilled Azure Databricks Data Engineer to design, develop and deliver cloud-based data integration and analytics solutions within our Insurance portfolio . You’ll work across data engineering, modelling … scalable pipelines, optimising performance, and ensuring best practices in data quality and governance. This is a hands‐on technical role requiring strong Azure and Databricks experience, coupled with solid Insurance domain knowledge . As part of this role, you’ll have the opportunity to work on high-impact Insurance data ...

engagement through to pipeline development, data modelling, semantic layers and Power BI delivery. This role focuses on building a modern data platform using Azure Databricks, Python, PySpark and SQL, tying together marketing, sales and operations data to drive commercial performance. #J-18808-Ljbffr ...

Azure, Terraform, Kubernetes, CI/CD, Linux, automation, DevSecOps and SRE Data Engineering - Python, SQL, ETL/ELT, modern cloud data platforms, Spark/Databricks and data architecture AI & Machine Learning - ML Engineering, MLOps, Python, model deployment, evaluation, LLM/GenAI and production AI Technical Leadership - Senior/Lead engineering ...

Azure, Terraform, Kubernetes, CI/CD, Linux, automation, DevSecOps and SRE Data Engineering - Python, SQL, ETL/ELT, modern cloud data platforms, Spark/Databricks and data architecture AI & Machine Learning - ML Engineering, MLOps, Python, model deployment, evaluation, LLM/GenAI and production AI Technical Leadership - Senior/Lead engineering ...

Hands-on experience building AI agents and agentic workflows. Strong knowledge of prompt engineering and RAG. Strong Python and SQL skills. Experience with Azure Databricks and/or Microsoft Fabric. Work with Power Platform and Copilot Studio to deliver business automation and AI solutions. Experience building data pipelines and working ...

experience with technologies such as Python, SQL, Java, .NET or JavaScript Experience working with modern enterprise data technologies such as Snowflake and/or Databricks Good understanding of enterprise data platforms, data architecture, on-premise lakehouse architectures and enterprise systems Knowledge of DevOps, CI/CD, Infrastructure as Code ...

with strong experience in data quality, model development and feature engineering Strong command of SQL and familiarity with data engineering environments such as Databricks or similar Skilled in data visualisation and storytelling using tools such as Power BI, Tableau, Plotly, or Sigma Demonstrated ability to translate technical findings into strategic ...

Continuously learn and improve engineering practices What we’re looking for batch processing distributed data processing Experience with technologies such as: Kafka Flink Spark Databricks experience is a plus Experience implementing: Data Lakes Big Data Analytics platforms Cloud-based solutions experience AWS preferred Software Engineering Expertise with: RDBMS Data Warehousing ...

code Distributed Data Processing Experience building and operating: batch processing systems distributed data systems near real-time streaming pipelines Familiarity with: Kafka Flink Spark Databricks experience is a strong plus Databases & Data Warehousing Comfortable working with: RDBMS data warehousing solutions Strong understanding of data modelling aligned with business needs Reliability ...

Fabric with Power BI - hands‐on Fabric experience is a strong advantage, but we care more that you have delivered on Synapse, Data Factory, Databricks or similar and can pick Fabric up fast. Data modelling depth: dimensional models and semantic layers built from messy, multi-source estates. You have taken ...

sprint-based, iterative delivery models and Agile tooling (e.g. Jira, Azure DevOps, Confluence) Exposure to cloud data platforms such as Snowflake, Azure Synapse, Databricks, or equivalent technologies is preferred Experience with data quality tools and master data domains (client, security, issuer, legal entity data) is a plus Pay range ...

work effectively in a collaborative, cross-functional team. Experience with data engineering concepts such as ETL/ELT pipelines or data platforms like Databricks and Azure Data Factory would be an advantage, as would familiarity with event-driven architectures or message queues, experience with scientific, geospatial or time-series data ...

DevOps Engineers, and Solution Architects who help our clients deliver and operate cloud data platforms on AWS, Azure and GCP, including technologies such as Databricks and Snowflake. As a DataOps Engineer, you will partner closely with engineering and delivery teams to standardise ways of working, improve data application reliability ...

hands‐on delivery. Finance Systems Ownership & Governance Own the administration, governance and strategic development of OneStream and other core Group Finance systems including NetSuite, Databricks, Navan and Power BI. Act as the Finance Systems Lead, ensuring systems remain aligned with business requirements, accounting standards and reporting obligations. Establish and maintain ...

development standards and best practices. About you Extensive experience designing and delivering enterprise-scale data engineering solutions Strong hands-on experience with Azure Databricks, including PySpark, Delta Live Tables and Databricks Workflows and orchestration Microsoft Fabric experience, including Lakehouse, Data Factory, Warehouse and Spark Knowledge of Azure Data Platform services ...

expectations on data and AI. Experience with using data platforms, programming languages and AI tools, such as Alteryx, Knime, Power BI, Microsoft Fabric, Tableau, Databricks, Snowflake, Microsoft Purview, Collibra, Informatica, Claude, Chat GPT, Microsoft Copilot, Python and SQL among others, to deliver practical and impactful analytics assurances and solutions. Experience ...