126 to 150 of 1,312 Databricks Jobs in the UK

Python, and ability to interpret lineage and dependencies Familiarity with Fabric deployment pipelines, Git integration and CI/CD concepts Exposure to Databricks and Azure Synapse as complementary data platforms Ability to troubleshoot straightforward platform or modelling issues (access, refresh, capacity signals) Clear documentation and communication skills, with strong collaboration ...

executive dashboards and reporting suites in Power BI/Tableau . Bridge Business & Data Engineering: Collaborate directly with internal data engineering teams working on Databricks and integration middleware ( Axway ) to define robust data pipelines for client visibility. AI & Automation Scoping: Identify operational bottlenecks across client workflows to scope quick ...

robust data products. Implement data quality checks and monitoring processes. Participate in technical reviews and contribute to continuous improvement. Technical Stack Core: SQL Server Databricks (introductory) Git REST APIs Microsoft Fabric Terraform basics What You’ll Bring: Professional experience in data engineering or related technical roles. Solid understanding ...

technologies to evolve Movar's data platform. Provide technical guidance to junior engineers and contribute to team capability building. Technical Stack Core: SQL Server Databricks Infrastructure as Code (Terraform, Bicep) REST APIs GitHub Actions Microsoft Fabric DataOps practices What You'll Bring Solid understanding of data architecture, APIs, and modern ...

scalable,reliableand maintainable data pipelines. Advanced working knowledge of SQL and Python. Experience working with modern cloud data platforms such as Microsoft Fabric, Snowflake, Databricks,RedshiftorBigQuery. Experience within the Microsoft data ecosystem would beadvantageous. Strong understanding of modern engineering practices including source control, CI/CD, automated testing, code review ...

Video Case Study Schaeffler unlocks factory insights with MS Fabric and Microsoft Cloud for Manufacturing Kyowa Kirin International – Client Story PageGroup partners with Avanade & Databricks for AI innovation Interested in life at Avanade? Check out our blogs: Avanade Insights – exchange ideas that drive tomorrow’s innovation Inside Avanade – explore what ...

unsupervised learning. Proven expertise in model tuning and feature selection, with the judgement to evaluate and improve model performance. Experience using Azure and Databricks within a modern data environment. A strong listener and communicator who can explain technical concepts and findings clearly to different audiences. A collaborative problem solver ...

engineering community at Moneybox, sharing expertise and helping raise standards across our technology estate Our Data Technology Stack Cloud: Microsoft Azure Data platforms: Azure Databricks, SQL Server, Cosmos DB and Blob Storage Data processing: Python, Spark and SQL Messaging: Azure Service Bus and Event Hubs DevOps and infrastructure: Azure DevOps ...

hands‐on experience building data pipelines and transformations at scale Hands‐on experience with a modern cloud data stack, including Snowflake, dbt, Airflow, and Databricks, on a cloud platform (Azure preferred) Demonstrated experience delivering data lineage and traceability within a regulated environment (e.g. SOX, financial services, healthcare, or similar) Experience ...

infrastructure and workflows Skills and experience you need as the Senior Data Engineer: Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch ...

Engineer within complex technical environments. Strong knowledge of data management principles, including data modelling, integration, quality, and governance. Strong commercial experience with Snowflake and Databricks essential. Experience assessing existing data management systems and recommending improvements. Experience with modern data architectures, including cloud-based and distributed systems. Strong proficiency ...

meet deadlines. Proactive and collaborative approach to working within a team. Experience with the Microsoft data platform. Experience with other cloud data platforms like Databricks or GBQ. Experience with Python or other data analysis languages. Understanding of data governance and data management principles. Experience implementing row-level security and data ...

unsupervised learning. Proven expertise in model tuning and feature selection, with the judgement to evaluate and improve model performance. Experience using Azure and Databricks within a modern data environment. A strong listener and communicator who can explain technical concepts and findings clearly to different audiences. A collaborative problem solver ...

Information Architecture; Data Modelling; Data Governance; Metadata Management; Master Data Management; Data Quality; Reference Data. Cloud Platforms: Microsoft Azure; AWS; GCP. Modern Data Platforms: Databricks; Microsoft Fabric; PostgreSQL. Data Integration: Azure Data Factory; API-led Integration; Kafka; ETL/ELT; Streaming and Event-Driven Architectures. Architecture & Modelling: TOGAF; DAMA; ArchiMate ...

helpful to have experience/expertise/knowledge in the following: Python AWS Kubernetes 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) Governance Things to note Just ...

ability to understand complex data flows, dependencies and existing platform designs. Snowflake knowledge and experience is highly desirable, with experience of platforms such as Databricks also relevant.* Hands-on experience with major investment data vendors, for example Bloomberg, LSEG, FactSet, S&P Global or MSCI, including their data models ...

optimization, etc. Experience with data pipeline technologies like AWS Glue, Airflow, Kafka, or other cloud based equivalence. Experience with ETL and data warehousing like Databricks, Snowflake, or equivalent. Container-based deployment experience using Docker and Kubernetes. Strong verbal and written communication skills. NICE TO HAVE: Experience working with or data ...

guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop. Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create data pipelines ...

platforms. One or more Oracle certifications across OCI, Data Management, AI Services or Autonomous Database. Experience working with complementary technologies such as Python, Spark, Databricks, Azure, AWS, OpenShift, Kubernetes or MLOps platforms. Demonstrated ability to structure client problems, shape solutions and identify opportunities for further value creation. Ability to travel ...

platforms. One or more Oracle certifications across OCI, Data Management, AI Services or Autonomous Database. Experience working with complementary technologies such as Python, Spark, Databricks, Azure, AWS, OpenShift, Kubernetes or MLOps platforms. Demonstrated ability to structure client problems, shape solutions and identify opportunities for further value creation. Ability to travel ...

modelling and reporting. Familiarity with cloud platforms (Azure or AWS), particularly in hybrid data environments. Experience working with data Lakehouse technologies (e.g. Delta Lake, Databricks, or similar platforms). Be able to travel to programme and customer meetings across the UK as required. Security cleared or ability to obtain ...

Data Governance, Cloud Data Platforms, AI Enablement, and Enterprise Transformation, with particular focus on the Microsoft Data & AI ecosystem (Azure, Microsoft Fabric, Synapse, Purview, Databricks, Power BI and AI servicesHybrid working:The places that you work from day to day will vary according to your role, your needs, and those ...

Data Governance, Cloud Data Platforms, AI Enablement, and Enterprise Transformation, with particular focus on the Microsoft Data & AI ecosystem (Azure, Microsoft Fabric, Synapse, Purview, Databricks, Power BI and AI services Hybrid working: The places that you work from day to day will vary according to your role, your needs ...

evolution of DFP’s cloud‐native data architecture (AWS/GCP/Snowflake). Architect and implement scalable ingestion and transformation pipelines using Fivetran, Databricks, and Airflow/DBT. Design and code modular data services and APIs that unify campaign, conversion, and audience datasets across 20+ marketing platforms. Build ...

ability to understand complex data flows, dependencies and existing platform designs. Snowflake knowledge and experience is highly desirable, with experience of platforms such as Databricks also relevant. Hands-on experience with major investment data vendors, for example Bloomberg, LSEG, FactSet, S&P Global or MSCI, including their data models ...