51 to 66 of 66 Contract Databricks Jobs

CI/CD, automation). Proven track record of designing, building, and scaling data platforms in production environments. Hands-on experience with big data technologies such as Airflow, DBT, Databricks, and data catalogue/observability tools (e.g. Monte Carlo, Atlan, Datahub). Knowledge of cloud infrastructure (AWS or GCP) - including services such as S3, RDS, EMR, ECS, IAM. Experience with More ❯

Platform Engineer-£400PD-Remote We are seeking a highly skilled Cloud Platform Engineer with hands-on experience managing and scaling Databricks from a platform perspective, along with deep knowledge of Azure services, Terraform, and CI/CD pipelines using GitHub Actions. You will be part of a team responsible for designing, implementing, and maintaining scalable, secure, and cost-effective cloud … Center, defender policies, and other security controls across cloud resources. Monitor and manage cloud costs using Azure Cost Management, ensuring resources are optimized and within budget. Architect and support Databricks workspaces, focusing on Unity Catalog, data access control, workspace deployment, and platform reliability. Collaborate with data engineering and analytics teams to ensure Databricks is performant, secure, and well-integrated with … systems. Create and maintain platform documentation, templates, and reusable modules to support self-service provisioning. Participate in incident response and troubleshooting for cloud platform issues, particularly those related to Databricks and underlying infrastructure. Required Skills & Experience: Proven experience with Terraform in a production environment. Deep understanding of GitHub Actions and CI/CD best practices. Strong experience working with Azure More ❯

Senior Machine Learning/AI Engineer Position Overview: We are seeking a Senior Machine Learning/AI Engineer with expertise in Databricks, MLOps/LLMOps, and cloud-native architecture . The candidate must have recent experience implementing data science solutions in Databricks and be comfortable deploying web applications via containerized workflows (Docker, Kubernetes). This role involves building scalable AI …/ML systems, deploying LLMs, and operationalizing models in production. Key Responsibilities: Design, develop, and deploy ML, Deep Learning, and LLM solutions. Implement scalable ML and data pipelines in Databricks (PySpark, Delta Lake, MLflow). Build automated MLOps pipelines with model tracking, CI/CD, and registry. Deploy and operationalize LLMs , including fine-tuning, prompt optimization, and monitoring. Architect secure … Jenkins). Mentor engineers, enforce best practices, and lead design/architecture reviews. Required Skills & Experience: 5+ years in ML/AI solution development. Recent hands-on experience with Databricks, PySpark, Delta Lake, MLflow . Experience with LLMs (Hugging Face, LangChain, Azure OpenAI) . Strong MLOps, CI/CD, and model monitoring experience. Proficiency in Python, PyTorch/TensorFlow, FastAPI More ❯

Duration: 31/12/2026 Days on site: 2-3 Rate: £402/day on Umbrella Role Description: We are currently migrating our data pipelines from AWS to Databricks, and are seeking a Senior Databricks Engineer to lead and contribute to this transformation. This is a hands-on engineering role focused on designing, building, and optimizing scalable data solutions … using the Databricks platform. Key Responsibilities: Lead the migration of existing AWS-based data pipelines to Databricks. Design and implement scalable data engineering solutions using Apache Spark on Databricks. Collaborate with cross-functional teams to understand data requirements and translate them into efficient pipelines. Optimize performance and cost-efficiency of Databricks workloads. Develop and maintain CI/CD workflows for … Databricks using GitLab or similar tools. Ensure data quality and reliability through robust unit testing and validation frameworks. Implement best practices for data governance, security, and access control within Databricks. Provide technical mentorship and guidance to junior engineers. Must-Have Skills: Strong hands-on experience with Databricks and Apache Spark (preferably PySpark). Proven track record of building and optimizing More ❯

on governance, reproducibility, and automation. Real-Time Pipeline Build: Architect and implement solutions to transition high-volume model serving (10M+ customers, 1.2M+ product variants) to real-time performance. MLflow & Databricks Mastery: Lead the optimal integration and use of MLflow for model registry, experiment tracking, and deployment within the Databricks platform. DevOps for ML: Build and automate robust CI/CD … core Data Engineering team. Key Skills: Must Have: MLOps: Proven experience designing and implementing end-to-end MLOps processes in a production environment. Cloud ML Stack: Expert proficiency with Databricks and MLflow . Big Data/Coding: Expert Apache Spark and Python engineering experience on large datasets. Core Engineering: Strong experience with GIT for version control and building CI/… for optimisation) Familiarity with low-latency data stores (e.g., CosmosDB ). If you have the capability to bring MLOps maturity to a traditional Engineering team using the MLFlow/Databricks/Spark stack, please email: with your CV and contract details. More ❯

external partners to optimise existing systems, with a particular focus on enhancing fan engagement through digital platforms. Key Responsibilities Design and develop ETL/ELT pipelines in Azure and Databricks, ensuring reliability and performance. Construct Kimball-style dimensional models to support analytics and reporting. Implement automated testing for data quality assurance and validation. Ensure compliance with data governance, legal, and … regulatory standards . Collaborate with the wider Data team to optimise pipelines and enhance platform capabilities. Essential Skills & Experience Hands-on expertise with Databricks, PySpark, and Delta Lake . Proven ability to build production-grade ETL/ELT pipelines , including integration with SFTP and REST APIs. Strong knowledge of Kimball methodology within Lakehouse frameworks. Advanced proficiency in Azure data services More ❯

models and supervised learning approaches within scalable cloud environments. Work with engineering and product teams to embed ML capabilities into production systems. Optimise performance using tools such as AWS, Databricks, and containerisation frameworks. Define best practices for MLOps, monitoring, and version control. Provide technical guidance and education to teams adopting AI tooling. What Youll Bring 5+ years in software/… with production deployment experience. Strong Python background, comfortable across data frameworks like Pandas, NumPy, SciPy, Dask, Polars, or PySpark. Proven experience setting up ML pipelines, integrating with AWS/Databricks, and applying CI/CD principles. Solid understanding of time-series forecasting and supervised ML models. Knowledge of cloud infrastructure, IaC (Terraform/CloudFormation), and containerisation. Excellent collaboration and communication More ❯

discovery, definition, and migration planning for a cloud adoption roadmap, with a particular focus on modern data platform capabilities. The role centres on capturing business-aligned cloud requirements, shaping Databricks-led data platform needs, and supporting a phased migration strategy across critical services and data workloads. Key Responsibilities Requirements Discovery Lead workshops with Architecture, Data, Engineering, Product, and Cyber to … capture Cloud + Databricks needs. Define security, compliance, downtime tolerance, RPO/RTO, SLAs, and cost requirements. Capture data platform requirements across ingestion, transformation, governance, and analytics (Databricks, Delta Lake, Unity Catalog, Workflows). Map service and data dependencies, classify criticality, and align to the Core Cloud capability catalogue. Produce a clear, endorsed baseline of Core Cloud + Databricks requirements. … Migration Strategy Support Support creation of a risk-based migration plan for services, data pipelines, and analytics workloads. Assess current landscape, identify gaps for Databricks enablement, and outline sequencing options. Prepare core artefacts (requirements packs, dependency maps, current vs target state, migration considerations). Shape sprint-ready BA deliverables with Engineering and Architecture. Experience Needed Proven Technical BA within cloud More ❯

Tier 1 bank - Canary Wharf - Hybrid - £960 per day (Inside) - C#/Datastage ETL/Databricks/SQL Role - Full Stack Developer Duration - 6 months with very likely extension Location - Hybrid/Canary Wharf - 2 days per week in a Canary Wharf office/3 days WFH Rate - £600 - £960 per day (inside IR35) Tech Stack - MUST HAVE C# Datastage … ETL Databricks SQL Finance/Banking experience Skills required C# .Net Framework and Object Orientated programming concepts. Oracle and SQL server (PL/SQL & TSQL). .NET Core C# and .NET (Windows & Web) development. Web API development DataStage ETL Databricks Key Responsibilities Develop and maintain applications using C#, .NET Framework, and .NET Core for both Windows and Web platforms. Design More ❯

Data Analyst/Data Scientist - Microsoft Fabric, Databricks, Power BI Up to £600 per day (Inside IR35 - Umbrella) London/Hybrid (Must be UK Based, 1-2 days per week onsite may be required) 3-6 Months I am currently working with a leading consultancy who are looking for a Data Analyst/Data Scientist with strong Microsoft Fabric, Databricks … work closely with a high profile end customer. Key Requirements: Proven experience as Data Analyst/Data Scientist within a large Enterprise Scale organisation Demonstrable experience using Microsoft Fabric, Databricks and Power BI amongst other Microsoft technologies Previous experience of working on Finance related Programmes, with a focus on cost reduction Working knowledge of AI related Projects/Programmes of More ❯

Data Analyst/Data Scientist - Microsoft Fabric, Databricks, Power BI Up to £600 per day (Inside IR35 - Umbrella) London/Hybrid (Must be UK Based, 1-2 days per week onsite may be required) 3-6 Months I am currently working with a leading consultancy who are looking for a Data Analyst/Data Scientist with strong Microsoft Fabric, Databricks … work closely with a high profile end customer. Key Requirements: Proven experience as Data Analyst/Data Scientist within a large Enterprise Scale organisation Demonstrable experience using Microsoft Fabric, Databricks and Power BI amongst other Microsoft technologies Previous experience of working on Finance related Programmes, with a focus on cost reduction Working knowledge of AI related Projects/Programmes of More ❯

Databricks Platform Engineer - Outside IR35 Contract Please note - this role will require you to be based in the UK with the unrestricted right to work in the UK. This organisation is not able to offer sponsorship. An experienced Platform Engineer is required to support the rollout and maintenance of a large, federated, multi-service Data and AI platform. The role … and maintain Azure infrastructure using Terraform. Implement governance and compliance controls, including Azure Policy. Configure and manage Azure Private Link and Private Link Service. Enable advanced data services with Databricks and Unity Catalog for data governance. Develop CI/CD pipelines using GitHub Actions. Ensure security best practices, including Defense in Depth, BCDR, and high availability. Manage identity and access … costs and monitor usage effectively. Essential Skills Proven experience with Terraform for Azure infrastructure as code. Strong knowledge of GitHub Actions and CI/CD principles. Strong experience with Databricks and Unity Catalog for advanced data governance. Hands-on experience with Azure Private Link and Private Link Service. Strong understanding of Azure security best practices and compliance. Experience in identity More ❯

Databricks Platform Engineer - Outside IR35 Contract Please note - this role will require you to be based in the UK with the unrestricted right to work in the UK. This organisation is not able to offer sponsorship. An experienced Platform Engineer is required to support the rollout and maintenance of a large, federated, multi-service Data and AI platform. The role … and maintain Azure infrastructure using Terraform. Implement governance and compliance controls, including Azure Policy. Configure and manage Azure Private Link and Private Link Service. Enable advanced data services with Databricks and Unity Catalog for data governance. Develop CI/CD pipelines using GitHub Actions. Ensure security best practices, including Defense in Depth, BCDR, and high availability. Manage identity and access … costs and monitor usage effectively. Essential Skills Proven experience with Terraform for Azure infrastructure as code. Strong knowledge of GitHub Actions and CI/CD principles. Strong experience with Databricks and Unity Catalog for advanced data governance. Hands-on experience with Azure Private Link and Private Link Service. Strong understanding of Azure security best practices and compliance. Experience in identity More ❯

About the Role: We are looking for Data Engineer for Glasgow location. Mode of Work - hybrid Databricks being (primarily) a Managed Spark engine – strong Spark experience is a must-have. Databricks (BigData/Spark) & Snowflake specialists – and general Data Engineer skills, with RDBMS Fundamentals, SQL, ETL. More ❯

SAP R/3 Data Modeller £500-600/day outside IR35 4 week contract Remote working Working with a non-profit organisation who are looking to decommission SAP R/3. They need to migrate some historical data still More ❯

SAP R/3 Data Modeller £500-600/day outside IR35 4 week contract Remote working Working with a non-profit organisation who are looking to decommission SAP R/3. They need to migrate some historical data still More ❯