1 to 25 of 75 Contract Databricks Jobs in England

solving skills, with an ability to work both independently and collaboratively within multi-disciplinary teams Desirable Skills for the AWS Data Engineer: Experience with Databricks , Kafka , or Kinesis for real-time data streaming Knowledge of containerisation (Docker, ECS) and modern orchestration tools such as Airflow Familiarity with machine learning model ...

Claude, Gemini, Mistral, LLaMA, Cohere Frameworks: LangChain, LlamaIndex, Haystack Tools: GitHub Copilot, Cursor, PromptLayer, Weights & Biases Cloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks Infra: Python, Docker, Kubernetes, SQL, PyTorch ...

Proficient in SQL and experienced in data modelling within cloud data warehouses.* Familiarity with cloud platforms such as AWS or Azure.* Experience with Python, Databricks, or related data engineering tools beneficial.* Excellent problem-solving and analytical skills, with strong attention to detail.* Strong communication and collaboration abilities, with the ability ...

What you'll need to succeed Strong experience with MS Azure Cloud Dev/Ops and Data Lake design (dimensional modelling). Proficiency in Databricks open data lakehouse architecture in Azure. In-depth understanding of database management systems and ETL frameworks. Expertise in Power BI (Desktop, Report Builder, Service ...

reliability. Optimise data workflows for performance, cost efficiency, and maintainability using modern data-engineering tools and platforms (e.g., Azure Data Factory, AWS Data Pipeline, Databricks, Apache Spark). Support the integration of data into visualisation platforms and analytical environments (e.g., Power BI, ServiceNow). Ensure adherence to data governance, security ...

Azure SQL Database. ·Experience working with large datasets and complex data pipelines. ·Experience with data architecture design and data pipeline optimization. ·Proven expertise with Databricks, including hands-on implementation experience and certifications. ·Experience with SQL and NoSQL databases. ·Experience with data quality and data governance processes. ·Experience with version control ...

Experience with developing data features and associated transformation procedures on a modern data platform. Examples include (but not limited to) Azure Fabric, AWS Lakeformation, Databricks or Snowflake. Experience automating operations tasks with one or more scripting languages. Due to the nature of the project and the short turnaround required ...

Experience with developing data features and associated transformation procedures on a modern data platform. Examples include (but not limited to) Azure Fabric, AWS Lakeformation, Databricks or Snowflake. Experience automating operations tasks with one or more scripting languages. Due to the nature of the project and the short turnaround required ...

Databricks Engineer - £400PD - Remote About the Role We are seeking a highly skilled Azure Data Engineer with deep, hands-on Databricks experience to join our growing data engineering team. In this role, you will design, build, and optimise scalable data pipelines and lakehouse architectures on Azure, enabling advanced analytics … data-driven decision making across the business. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines using Azure Databricks, PySpark, and Delta Lake. Build and optimise data lakehouse architectures on Azure Data Lake Storage ( ADLS ) . Develop high-performance data solutions using Azure Synapse, Azure Data Factory, and Databricksworkflows ...

Proficient in SQL and experienced in working with relational and cloud-based data sources.* Familiarity with Azure tooling such as Data Factory, Synapse, or Databricks beneficial.* Strong analytical mindset with exceptional attention to detail.* Strong communication and stakeholder engagement skills, with the ability to work effectively within cross-functional teams. ...

data extraction, transformation, and pipeline development. Experience with dashboarding and visualization tools (Tableau, Qlik, or similar). Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes. Useful experience; Python or R for advanced analytics, automation, or experimentation support. Knowledge of statistical methods and experimentation (A/B testing ...

data extraction, transformation, and pipeline development. Experience with dashboarding and visualization tools (Tableau, Qlik, or similar). Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes. Useful experience; Python or R for advanced analytics, automation, or experimentation support. Knowledge of statistical methods and experimentation (A/B testing ...

data extraction, transformation, and pipeline development. Experience with dashboarding and visualization tools (Tableau, Qlik, or similar). Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes. Useful experience; Python or R for advanced analytics, automation, or experimentation support. Knowledge of statistical methods and experimentation (A/B testing ...

data extraction, transformation, and pipeline development. Experience with dashboarding and visualization tools (Tableau, Qlik, or similar). Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes. Useful experience; Python or R for advanced analytics, automation, or experimentation support. Knowledge of statistical methods and experimentation (A/B testing ...

learn, PyTorch, TensorFlow). Experience developing and fine-tuning LLMs and working with generative AI tools. Hands-on experience with Microsoft Azure (Azure ML, Databricks, or other AI services). Ability to handle, process, and analyse large, complex datasets. Strong understanding of data ethics, governance, and responsible AI principles. Must ...

solutions using MVP/test-and-learn approaches. Apply strong coding practices, version control, CI/CD, and maintain analytics infrastructure in Azure (including Databricks). Work with cross-functional teams to define problems, test solutions, and implement improvements. Qualifications . Strong skills in optimisation, simulation, or machine learning. Proficient ...

solutions using MVP/test-and-learn approaches. Apply strong coding practices, version control, CI/CD, and maintain analytics infrastructure in Azure (including Databricks). Work with cross-functional teams to define problems, test solutions, and implement improvements. Qualifications . Strong skills in optimisation, simulation, or machine learning. Proficient ...

create scalable, self-service dashboards. Strong stakeholder engagement across engineering, insights, finance, and operations. Independent, proactive working style. Nice to Have: Experience with Databricks Python exposure HOW TO APPLY: Please register your interest by sending your CV to Mojola Coker via the apply link on this page. ...

Senior Data Engineer who has experience in: AWS - S3 for storage, Lambda functions, Athena (thus strong SQL). Open to interchangable Azure experience. Databricks Python Devops experience a bonus e.g. Terraform, Drone, Kubernetes cluster management for microservice style API data consumption Consultative behaviour - strong stakeholder engagement skills, providing true consultancy ...

/CD pipelines (ideally Azure DevOps) and cloud security best practices Strong collaboration and communication skills Nice to have: Immediate availability Experience with Databricks or Synapse Knowledge of Data governance in Azure ecosystems Infrastructure as Code (IaC) tooling If you're interested in this role, click 'apply now' to forward ...

/CD pipelines (ideally Azure DevOps) and cloud security best practices Strong collaboration and communication skills Nice to have: Immediate availability Experience with Databricks or Synapse Knowledge of Data governance in Azure ecosystems Infrastructure as Code (IaC) tooling If you're interested in this role, click 'apply now' to forward ...

compliance of AI systems. Required Skills: Analytical Tools: EDA, Data Mining, Visualization (Plotly, Matplotlib, Seaborn) Statistical & Multivariate Analysis Big Data: Hadoop, MapReduce, HDFS, DataBricks, Spark, PySpark DataLake Architecture, AWS Redshift, Kinesis, EMR Machine Learning Supervised Models: Nave Bayes, Logistic Regression, SVM, Linear Regression, KNN, Tree-Based Models: Decision Trees, Random ...

Integration: Collaborate with Technology and Finance teams to align data across platforms, ensuring migrations are executed right first time and leveraging modern tools (e.g., Databricks, Datasphere, Purview). Insight & Reporting Enablement: Partner with BI teams to surface unified, reconciled data models that support both management and statutory reporting. Capability Building ...

Databricks Data Engineer Azure Cloud & Performance Optimization £400-£458pd (Inside IR35) SC Clearance is Essential Remote Overview We are seeking a Databricks Data Engineer experienced in building high-quality data pipelines and optimizing large-scale workloads on the Databricks Data Intelligence Platform. The ideal candidate is strong in PySpark, Delta … Lake, Azure services, workflow automation, and performance tuning. Key Responsibilities Build and maintain scalable batch and streaming pipelines using Databricks notebooks, Jobs, and Workflows. Optimize Spark and Delta Lake performance through cluster tuning, efficient configurations, AQE, and caching. Run performance tests and ensure workloads are cost-efficient and reliable. Apply ...

Programming skills. Strong design and development skills using Python. Python's libraries for machine learning: PySpark, Pytorch, scikit-learn and pandas. Technical experience using Databricks and MLFlow (Other Platforms can be considered). Good understanding of software code review standards - CI/CD. Stochastic Simulation modelling experience. ...