526 to 550 of 651 Databricks Jobs in the UK excluding London

work across others as needed Experience with cloud platforms (preferably AWS) and working knowledge of both relational and distributed data platforms (e.g., Oracle, Databricks) Advanced understanding of agile methodologies, CI/CD pipelines, application resiliency, and secure software development practices Proficient in all aspects of the Software Development Life Cycle … PySpark or similar frameworks, including performance tuning and troubleshooting of large-scale data pipelines In-depth knowledge of relational and distributed databases (e.g., Oracle, Databricks) with hands-on experience in query optimization, PL/SQL, and shell scripting in a cloud-native AWS environment Demonstrated ability to lead or contribute ...

stretch opportunities, encouraging learning across disciplines and setting a culture of accountability, psychological safety and continuous improvement. Own and deliver the roadmap across the Databricks platform, analytics capability and Oracle/PostgreSQL database estate, balancing strategic investment, operational demand and technical debt. Drive modern engineering practice across the data function … with enough hands‐on credibility to review a design and challenge an approach. Practical experience with a public cloud lakehouse or modern data platform; Databricks and Spark experience is an advantage. Solid grounding in relational databases at scale, ideally including Oracle and/or PostgreSQL. Real experience of DevOps practice ...

team has a part to play Platform Leadership: Lead design build, and continuous improvement of scalable data pipelines, Lakehouse architectures, and data products on Databricks and AWS infrastructure. Maintain engineering standards for performance, reliability, and cost. Contribute hands-on to architecture reviews, code reviews, and troubleshooting. Team Management: Manage … production‐grade data pipelines, and strong experience with Python, Scala, or similar programming languages. Experience working with modern cloud data platforms such as Databricks (preferred), Delta Lake, Snowflake, or BigQuery. Proven experience driving complex cross‐functional initiatives from concept through production. Experience leading technical architecture discussions and engineering design reviews. ...

data systems You Will Demonstrate: Deep knowledge of the Azure data stack (Azure SQL Server, CosmosDB, Azure Data Factory, Purview, Synapse, Event Hub, Azure Databricks/Fabric) Extensive data modelling experience: both normalised relational models and de-normalised Star Schema/dimensional models Excellent relational database design skills with expertise … architectural practices Industry specialisation in specific sectors (Engineering, Manufacturing, Healthcare etc.) Public sector or defence experience Experience with modern unified data platforms like Databricks or Microsoft Fabric Understanding of data mesh or data fabric architectural approaches Relevant industry certifications such as TOGAF 9, CDMP (Certified Data Management Professional), or Microsoft ...

data systems You Will Demonstrate: Deep knowledge of the Azure data stack (Azure SQL Server, CosmosDB, Azure Data Factory, Purview, Synapse, Event Hub, Azure Databricks/Fabric) Extensive data modelling experience: both normalised relational models and de-normalised Star Schema/dimensional models Excellent relational database design skills with expertise … architectural practices Industry specialisation in specific sectors (Engineering, Manufacturing, Healthcare etc.) Public sector or defence experience Experience with modern unified data platforms like Databricks or Microsoft Fabric Understanding of data mesh or data fabric architectural approaches Relevant industry certifications such as TOGAF 9, CDMP (Certified Data Management Professional), or Microsoft ...

Codelitt is hiring a Senior Data Platform Engineer in Edinburgh for a hybrid role. You will contribute to a financial data platform built on Databricks, working across Python services, APIs, data pipelines, and data models with an established Edinburgh team. The ideal candidate has substantial Databricks experience ...

Location: Manchester (Hybrid, 2 days per week in the office) The Opportunity I'm currently working with a leading insurance organisation based in Manchester that is looking to appoint a Data Governance Manager to help ...

Sword Group is seeking a Data Engineer in the United Kingdom (Glasgow area) to design, build, and optimize scalable data pipelines using Azure Data Factory, Synapse, Fabric, and Databricks. You will collaborate with clients and ...

DataAnalyst/AI Engineer The Fuel Store (TFS) is a progressive, Birmingham based business using technology to develop its market and stay ahead of the competition. It is on a mission to revolutionise the way ...

Our client is a UK digital technology and software consultancy. Join our client and Shape the Future Were problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether were transforming ...

will collaborate with agile teams to deliver secure, stable, and scalable data solutions that meet business objectives. The role requires strong Python development, Databricks expertise, and experience with both relational and NoSQL databases, with a focus on data quality and reliability. #J-18808-Ljbffr ...

systems, summarization/extraction pipelines, chat/coplay experiences, and tool-using agents. Proven experience working with large datasets and distributed compute (Spark/Databricks or equivalent), with SQL fluency and an understanding of partitioning, performance, and cost. Hands-on experience using enterprise-authorized AI-assisted software development tools within … solid understanding of agile delivery practices including CI/CD, Application Resiliency, and Security. Preferred Qualifications, Capabilities, And Skills Production experience with Databricks (Delta Lake, Unity Catalog, MLflow, Databricks Jobs) and workflow orchestration with Apache Airflow. Experience with evaluation frameworks and approaches (golden datasets, LLM-as-judge, human ...

combine priority internal and external data sources, understanding quality, permissions and fitness for use. Design, build and operate reliable pipelines in Microsoft Fabric and Databricks to ingest, clean, standardise, enrich, version and publish structured, semi-structured and unstructured data as reusable data assets. Create scalable lakehouse data models, schemas, data … clients, organisations, people, matters, sectors, jurisdictions, opportunities and legal topics. Implement data-quality checks, lineage, provenance, observability, monitoring and change management within Fabric and Databricks workflows so data assets remain trusted over time. Conduct exploratory data analysis to surface patterns, gaps, anomalies and data-quality issues, and identify opportunities ...

Data Engineer - Databricks London - Hybrid (3 days onsite) | 6 Month Contract We're looking for a hands-on Data Engineer to help build scalable data pipelines and support the migration of an enterprise data platform into the cloud. This is a development-focused position rather than a Lead role … requires someone comfortable working independently. Key skills: Databricks Python SQL Oracle Data pipeline development Cloud/data migration experience Enterprise data environments ...

effective data, analytics and AI solutions. Define and align KPIs, metrics, business definitions and semantic models. Build engaging Power BI dashboards and visualisations, alongside Databricks AI/BI capabilities and Genie Rooms. Configure and continuously improve Databricks Genie Rooms to enable natural-language analytics. Support the development of ontology, taxonomy … adoption Your Profile Experience in Data Analytics, Business Intelligence, Data Visualisation or Data Governance. Strong experience building dashboards and visualisations using Power BI, Databricks AI/BI, Tableau or similar. Good working knowledge of SQL and data validation. Understanding of semantic modelling, KPIs, metrics and business definitions. Knowledge of data ...

internal teams to assess architectural designs, technical capabilities, and fit within existing systems and information architecture. Build scalable feature engineering and data pipelines on Databricks using data lake sources, leveraging Spark/Delta and Databricks workflows/jobs. Required Qualifications, Capabilities, And Skills Formal training or certification in software engineering … testing environments. Database experience with PostgreSQL (including RDS/Aurora) and MongoDB; ability to write automation/operations scripts in Python and Bash. Databricks experience including Spark, Delta, notebooks, workflows/jobs, and performance tuning; familiarity with GraphQL. Provide technical support during software development, including debugging environment-specific issues ...

Data Integration Analyst (Azure/Databricks) 📍 Hybrid – Central London | 💰 £43,000 pro rata | ⏳ up to 6-month FTC (potential to extend) We’re looking for a technically strong and commercially aware MI & Data Integration Analyst to join a leading UK retail and technology business on an initial 3-month fixed … Responsibilities Produce and enhance accurate, timely, and insightful MI reports to support business decision-making. Develop and maintain data tables and integrations within Azure Databricks and the Unity Catalog to enable self-serve data access. Define and deliver process maps for transferring data ingestion from internal teams to offshore partners. ...

reliable production environments. This is a hands-on engineering role focused on ML pipelines, productionisation, deployment and ongoing model lifecycle management within a modern Databricks environment. Key Responsibilities of the ML Engineer: Build and automate end-to-end ML pipelines covering feature engineering, model training, scoring and deployment Productionise models … developed by Data Scientists, transforming notebooks and prototypes into modular, tested and production-ready code Develop scalable ML solutions using Python, PySpark, Databricks and MLflow Deploy machine learning models into batch and real-time environments through APIs, scheduled workflows and production pipelines Manage model versioning, promotion and rollback throughout ...

Computerworld Personnel Ltd is recruiting an Enterprise Data Architect with Databricks experience for a hybrid role in the West Midlands. The role focuses on bringing the data architecture back in-house, delivering Databricks-based data lakes, governance, and a data roadmap. You will be an individual contributor driving future cloud ...

Enterprise Data organisation, this role leads the engineering of cloud-native data services for the firm's strategic platform, driving the migration to Databricks and delivering scalable Spark/Scala solutions on AWS. The overall objective of this role is to lead applications systems analysis and programming activities. Proven leadership … processing, advances matching engines, AI/GenAI services and large-scale data platforms. This role will drive transformation of enterprise data capabilities using Databricks, scala/spark and cloud native architectures, ensuring platform is stable, scalable, resilient, secure and AI enabled. As platform landscape evolved towards cloud-native, AI enabled ...

organisations. This is a client-facing role where you'll design and build scalable cloud-based data solutions, working with modern technologies including AWS, Databricks and Agentic AI . You'll benefit from structured training, clear career progression and the opportunity to work on complex, enterprise-scale projects. Key Responsibilities … years' experience in Data Engineering . Strong skills in Python, SQL and DBT . Hands-on experience with AWS and/or Databricks . Knowledge of AWS services including S3, Lambda, Glue, RDS and DynamoDB . Experience with Terraform or AWS CDK , Git and modern development practices. Strong troubleshooting skills ...

organisations. This is a client-facing role where you'll design and build scalable cloud-based data solutions, working with modern technologies including AWS, Databricks and Agentic AI . You'll benefit from structured training, clear career progression and the opportunity to work on complex, enterprise-scale projects. Key Responsibilities … years' experience in Data Engineering . Strong skills in Python, SQL and DBT . Hands-on experience with AWS and/or Databricks . Knowledge of AWS services including S3, Lambda, Glue, RDS and DynamoDB . Experience with Terraform or AWS CDK , Git and modern development practices. Strong troubleshooting skills ...

will own the quality assurance of Sagacity's client data platform deployments — the Databricks Lakehouse pipelines, gold-layer views, and analytics datasets that drive marketing, billing, credit and debt outcomes for our clients across financial services, retail, energy, telecoms & media, water, and the not-for-profit sector. Working closely with … volume checks, data quality rules, and migration parity — using SPHERE's YAML-driven test framework Investigate test failures systematically: trace root causes through the Databricks Lakehouse stack (bronze silver gold), distinguish pipeline bugs from data issues, and produce clear, evidenced findings for the development team Manage QA work items ...

founding analytics engineer in Finance, shaping our data infrastructure and analytical capabilities during a critical transformation. Your expertise in Python, DBT, SQL, and Databricks will drive operational efficiency, accelerate our month-end close, and deliver strategic insights that inform capital allocation and IPO readiness. This is a greenfield opportunity … would doDesign and develop analytical features that surface actionable insights for Finance leadershipBuild, optimise and maintain production-ready ETL/ELT pipelines using DBT, Databricks and SQLCreate scalable data models and analytical solutions using modern data modelling techniquesBuild and champion data quality and testing practices; catch errors before they reach ...

firm Build and operate reliable data pipelines that ingest, transform, validate, and publish metric datasets to power analytics experiences, integrating with platforms such as Databricks as needed Design, build, and maintain secure, scalable backend services and REST APIs that enable metric consumption and power the user interface Define and validate … handling, and performance optimization Experience deploying and operating services on cloud or container platforms (e.g., AWS, Kubernetes, or equivalent enterprise platforms) Experience integrating with Databricks to produce curated, dashboard‐ready datasets, including layered data product patterns (e.g., bronze/silver/gold or equivalent) with clear contracts and quality controls ...