351 to 375 of 1,821 Databricks Jobs in England

would be helpful to have experience/expertise/knowledge in the following: Python AWS Spark & distributed computing dbt Terraform Data Warehousing (we use Databricks but experience with other platforms is fine) MLOps implementation (desirable but not required) Airflow (or other orchestration tooling) #J-18808-Ljbffr ...

working with a leading technology consultancy delivering secure, mission critical digital capabilities across Secure Sector programmes. They’re looking for an experienced Databricks Data Engineer to design and build scalable, resilient data applications that support operational users, analytics platforms, and AI-enabled capabilities. This is a hands-on technical role ...

data science, analytics or business intelligence (typically 10+ years) Advanced knowledge of Python and SQL Experience working with cloud platforms such as Redshift, Databricks or similar Proven track record in building impactful data visualisations (Power BI or equivalent) Strong understanding of statistical modelling, predictive analytics and machine learning Experience leading ...

data science, analytics or business intelligence (typically 10+ years) Advanced knowledge of Python and SQL Experience working with cloud platforms such as Redshift, Databricks or similar Proven track record in building impactful data visualisations (Power BI or equivalent) Strong understanding of statistical modelling, predictive analytics and machine learning Experience leading ...

large membership organisation, public sector or similarly complex organisation. Excellent knowledge of the Microsoft data ecosystem, including Azure Data Lake, Data Factory, Synapse, Databricks, SQL and Power BI. A strong understanding of data governance, privacy, security and regulatory requirements, alongside experience developing executive-level reporting and insight. Proven leadership capability ...

Skills/Experience Although not essential, the following skills are desired by the client: Asset/investment management or financial services experience. Aladdin experience. Databricks experience.Working knowledge of Informatica. Experience with cloud migration and Modern Data Stack environments. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will ...

model evaluation, monitoring and risk management. Deep hands-on machine learning experience is not required. Exposure to tools such as Microsoft Purview, Collibra, Alation, Databricks, Microsoft Fabric, Azure ML or Power BI governance would also be useful. Experience within Defence, Central Government, hydrography, sonar, geospatial/mapping or offshore industries ...

within tech or SaaS companiesYou are degree educated, Computer Science or similar tech or numerate disciplineYou're collaborative with great communication skillsNice to haves: Databricks, Kafka, Data Governance (GRC)What's in it for you:As a Data Engineer you will earn a competitive package:Up to 95k salaryRemote working ...

methodologies, CI/CD, application resiliency, and security Practical cloud-native experience Preferred Qualifications, Capabilities, and Skills: Experience with modern data technologies such as Databricks or Snowflake Hands-on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines ...

/SAP – Master• ELT – Master• Data Modeling – Master• Data Integration & Ingestion – Skill• Data Manipulation and Processing – Skill• GITHUB, Action, Azure DevOps – Skill• Data factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest – SkillOptional skills:• Experience in project management, running a scrum team.• Experience working with ...

developer enablement capabilities. Experience contributing to organizational AI strategy, operating models, or technical standards. Professional certifications or significant delivery experience with GCP, Snowflake, Databricks, or comparable platforms. #J-18808-Ljbffr ...

first delivery and AI data access enablement. What You Bring Hands-on experience designing schemas for relational databases, messaging, data lakes/lakehouses (Databricks, Snowflake, or equivalent), and API/message formats (JSON Schema, OpenAPI, Avro, Protobuf). Strong understanding of metadata and lineage management. 5+ years of experience ...

working across both legacy and cloud-based technology environments. Strong understanding of Cloud/Azure technologies ideally, including: Azure Data Lake Azure Data Factory Databricks Synapse Analytics Azure SQL Strong data modelling, integration and enterprise architecture skills. Excellent stakeholder management and ability to communicate architectural decisions to both technical ...

drive business transformation through data. Lead and inspire specialist data, analytics, and AI teams. Leverage a modern technology ecosystem including Azure, Power BI, Fabric, Databricks, Salesforce, and Microsoft Dynamics to deliver impactful solutions. What We're Looking For Degree qualified and/or professionally qualified, with significant experience leading enterprise ...

where the data depth is genuine and a sound working understanding of fraud typologies sits alongside it. Experience with cloud data platforms (Azure, Fabric, Databricks or similar) is a strong plus given the data lake programme ahead. Clear English and the credibility to present analysis and recommendations to senior stakeholders. ...

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 ...

predictive and generative AI), plus the ability to communicate value to diverse audiences. Data Stack Knowledge - Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC). Hands-On Development - Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like ...

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 ...

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 ...

deployment) Proficient software development experience in one of J ava, Scala, or Python Software development experience withdata-processing platforms from vendors including Informatica, Azure Databricks or any relevant ETL tools Expert in SQL or SQL extensions for analytical use case Expert understanding of distributed data stores and data processing frameworks ...

deployment) Proficient software development experience in one of J ava, Scala, or Python Software development experience withdata-processing platforms from vendors including Informatica, Azure Databricks or any relevant ETL tools Expert in SQL or SQL extensions for analytical use case Expert understanding of distributed data stores and data processing frameworks ...

drive business transformation through data. Lead and inspire specialist data, analytics, and AI teams. Leverage a modern technology ecosystem including Azure, Power BI, Fabric, Databricks, Salesforce, and Microsoft Dynamics to deliver impactful solutions. What We're Looking For Degree qualified and/or professionally qualified, with significant experience leading enterprise ...

. Familiarity with Workday APIs, Workday Prism Analytics, and automated testing frameworks like Kainos Smart. Knowledge of data engineering and analytics platforms such as Databricks, with experience in leveraging them for scalable data processing and machine learning workflows. Active participation in knowledge sharing activities, such as conferences, blogs, or internal ...

. Familiarity with Workday APIs, Workday Prism Analytics, and automated testing frameworks like Kainos Smart. Knowledge of data engineering and analytics platforms such as Databricks, with experience in leveraging them for scalable data processing and machine learning workflows. Active participation in knowledge sharing activities, such as conferences, blogs, or internal ...

Data Analytics, Artificial Intelligence or a related field, or equivalent experience, would be effective, although practical experience is equally valuable.“Nice to Have”Azure, Databricks, Apache Spark or comparable cloud and data platforms.Data pipelines, ETL and workflow-orchestration technologies.Machine-learning methods such as forecasting, prediction or classification.Experience with enterprise platforms ...