26 to 50 of 106 PySpark Jobs in the UK

and industry standards for the organization. Strong experience on Azure cloud services like Azure, ADF, ADLS, Synapse Proficiency in querying languages such as SQL, Pyspark, Python and familiarity with data visualization tools (e.g. Power BI). Strong communication skills to gather the business requirements from stakeholder and propose best more »

Engineer/Data Engineer with a strong focus on Databricks. Proficiency in Python and SQL for data processing and analysis. Spark Python API/PySpark Hands-on experience with AWS services related to data storage and processing (e.g., S3, Redshift, Glue). In-depth knowledge of Databricks Delta Lake more »

DevOps and CI/CD tools, Azure Cloud, Microsoft Fabric, Azure Services, Apache Spark, Experience of using IAC (terraform, APIs), Data Engineer, Big Data, PySpark Solid understanding of data Engineering concepts & experience of building and maintaining reliable & scalable big data platforms Experience of integrating azure hosted platforms withing expertise more »

Proficiency in modern programming languages and database querying languages. Comprehensive understanding of the Software Development Life Cycle and Agile methodologies. Familiarity with Python or PySpark and cloud technologies like AWS, Kubernetes, and Spark is highly desirable. Ideal Candidate: Someone with a knack for innovative solutions and a commitment to more »

Glue and SageMaker Infrastructure-as-Code tools and approaches (we use the AWS CDK with CloudFormation) Data processing frameworks such as pandas, Spark and PySpark Machine learning concepts like model training, model registry, model deployment and monitoring Development and CI/CD tools (we use GitHub, CodePipeline and CodeBuild more »

Modeling within a cloud-based data platform Strong experience with SQL Server Azure data engineering stack, including Azure Synapse and Azure Data Lake Python, PySpark and T-SQL In return you will be offered a competitive salary and benefits package, remote working options and an opportunity to work with more »

of Python Experience developing in the cloud (AWS preferred) Solid understanding of libraries like Pandas and NumPy Experience in data warehousing tools like Snowflake, Pyspark, Databricks Commercial experience with performant database programming in SQL Capability to solve complex technical issues, comprehending risks prior to the circumstance. Please apply today more »

experience working directly with C-Suite execs. Technical Expertise Needed At least 3 years Databrick s (must have) Proven experience delivering scalable data pipelines PySpark SQLDevOps/DataOps/CICD Expertise in designing, constructing, administering, and maintaining data warehouses and data lakes Data Modelling/Data Architecture Data Migration more »

experience leading a data engineering team. Key Tech: - AWS (S3, Glue, EMR, Athena, Lambda) - Snowflake, Redshift - DBT (Data Build Tool) - Programming: Python, Scala, Spark, PySpark or Ab Initio - Data pipeline orchestration (Apache Airflow) - Knowledge of SQL This is a 6 month initial contract with a trusted client of ours. more »

data experience Data inventory and data familiarisation Efficient data ingestion and ingestion pipelines Data cleaning and transformation Databricks (ideally with Unity Catalog) Python and PySpark CI/CD (ideally with Azure Devops) Unit testing (PyTest) If you have the above experience and are looking for a new contract role more »

data integration pipelines, transformations, pipeline scheduling, Ontology, and applications in Palantir Foundry Design, develop and deploy data solutions in Palantir with excellent skills in PySpark and Spark SQL for data transformations Experience in designing and building interactive data applications working with Ontology, actions, functions, object views, automate, indexing, data more »

for: -Data Engineering + Data Science Experience -Strong ETL Experience -Experience with Computer Vision -Experience in Remote Sensing highly desirable Stack: Python, PyTorch, AirFlow, PySpark (equivalent tools are fine more »

STEM subject e.g. Mathematics, Statistics or Computer Science Experience in personalisation, segmentation with a focus on CRM Retail experience is a bonus Experience with PySpark/Azure/Databricks is a bonus Experience of management NEXT STEPS: If this role looks of interest, please reach out to Joseph Gregory. more »

STEM subject e.g. Mathematics, Statistics or Computer Science Experience in personalisation, segmentation with a focus on CRM Retail experience is a bonus Experience with PySpark/Azure/Databricks is a bonus Experience of management BENEFITS: Pension scheme Gym Membership Share options Bonus Hybrid working HOW TO APPLY: Register more »

STEM subject e.g. Mathematics, Statistics or Computer Science Experience in personalisation, segmentation with a focus on CRM Retail experience is a bonus Experience with PySpark/Azure/Databricks is a bonus Experience of management BENEFITS: Pension scheme Gym Membership Share options Bonus Hybrid working HOW TO APPLY: Register more »

customer modelling but not required Candidates should be looking to work in a fast paced startup feel environment Tech across: Python, SQL, AWS, Databricks, PySpark, AB Testing, MLFlow, APIs Apply below more »

experience-related problems such as workforce management, demand forecasting, or root cause analysis Strong visualisation skills including experience with Tableau Familiarity with Databricks and PySpark for data manipulation and analysis Familiarity with Git-based source control methodologies, including branching and pull requests A self-starter, passionate about converting data more »

insurance sector is advantageous. - Education: A degree in Computer Science, Data Science, Engineering, or a related field. Technical Skills Strong proficiency in Python, SQL, PySpark, and Databricks. Demonstrated experience with modern NLP techniques and tools. Proven ability to create and manage data quality metrics and dashboards. Experience working in more »

experience Data access methods (SQL, GraphQL, APIs) Beneficial Requirements Experience around data science tools and algorithms Manipulation technologies (e.g., WebSockets, Kafka, Spark) TensorFlow, Pandas, pySpark and scikit-learn would be great Salary up to £75K + 20% bonus and benefits package We have interview slots lined up for later more »

come with scaling a company • The ability to translate complex and sometimes ambiguous business requirements into clean and maintainable data pipelines • Excellent knowledge of PySpark, Python and SQL fundamentals • Experience in contributing to complex shared repositories. What’s nice to have: • Prior early-stage B2B SaaS experience involving client more »

start interviewing ASAP. Responsibilities: Azure Cloud Data Engineering using Azure Databricks Data Warehousing Data Engineering Very strong with the Microsoft Stack ESSENTIAL knowledge of PySpark clusters Python & C# Scripting experience Experience of message queues (Kafka) Experience of containerization (Docker) FINANCIAL SERVICES EXPERIENCE (Energy/commodities trading) If you have more »

preferably GCP | Expertise in event-driven data integrations and click-stream ingestion | Proven ability in stakeholder management and project leadership | Proficiency in SQL, Python, PySpark | Solid background in data pipeline orchestration, data access, and retention tooling | Demonstrable impact on infrastructure scalability and data privacy initiatives | Collaborative spirit | Innovative problem more »

experience in PowerBi would also be useful. You will be a Engineer with past experience with java, data, and infrastructure (devOps). Java, Python, PySpark Mechanisms: MongoDB, Redshift, AWS S3 Environments/Infra: AWS (required), [AWS Lambda, Terraform] (nice to have) Platforms: Creating data pipelines within Databricks or equivalent more »

vision to convert data requirements into logical models and physical solutions. with data warehousing solutions (e.g. Snowflake) and data lake architecture, Azure Databricks/Pyspark & ADF. retail data model standards - ADRM. communication skills, organisational and time management skills. to innovate, support change and problem solve. attitude, with the ability more »

Mart. Utilize Vector Databases, Cosmos DB, Redis, and Elasticsearch for efficient data storage and retrieval. Demonstrate proficiency in programming languages including Python, Spark, Databricks, Pyspark, SQL, and ML Algorithms. Implement Machine Learning models and algorithms using Pyspark, Scikit Learn, and other relevant tools. Manage Azure DevOps, CI/… environments, Azure Data Lake, Azure Data Factory, Microservices architecture. Experience with Vector Databases, Cosmos DB, Redis, Elasticsearch. Strong programming skills in Python, Spark, Databricks, Pyspark, SQL, ML Algorithms, Gen AI. Knowledge of Azure DevOps, CI/CD pipelines, GitHub, Kubernetes (AKS). Experience with ML/OPS tools such more »