1 to 25 of 31 Remote/Hybrid PySpark Jobs in the UK excluding London

security measures across the platform. Leverage Terraform or similar IaC tools for controlled and reproducible deployments. Databricks Development Develop and optimise data jobs using PySpark or Scala within Databricks. Implement the medallion architecture (bronze, silver, gold layers) and use Delta Lake for reliable data transactions. Manage cluster configurations ...

Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud Composer and Pyspark etc Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong ...

Days Cycle to work scheme And More.. DATA ENGINEER – ESSTENTIAL SKILLS Proven experience building data pipelines using Databricks . Strong understanding of Apache Spark (PySpark or Scala) and Structured Streaming . Experience working with Kafka (MSK) and handling real-time data . Good knowledge of Delta Lake/Delta ...

demand delivery Provide technical guidance for team members Providing 2nd or 3rd level technical support About You Experience using SQL, SQL Server DB, Python & PySpark Experience using Azure Data Factory Experience using Data Bricks and Cloudsmith Data Warehousing Experience Project Management Experience The ability to interact with the operational ...

Experience Extensive experience with Azure services including Azure Databricks, Azure Data Lake Storage, and Azure Data Factory. Advanced proficiency in SQL, Python, and Spark (PySpark), with a strong focus on performance optimization and distributed processing. Proven experience in CI/CD practices using industry-standard tools (e.g., GitHub Actions ...

build skills and knowledge relevant to the role. Essential Skills Experience of using a unified engine for large-scale data analytics (e.g. Spark/PySpark) Experience in writing, testing and implementing scripts (e.g. Python, Scala) Experience of cloud data stack use (e.g. SageMaker Notebooks, S3, Glue, Athena) Communicating technical ...

build skills and knowledge relevant to the role. Essential Skills Experience of using a unified engine for large-scale data analytics (e.g. Spark/PySpark) Experience in writing, testing and implementing scripts (e.g. Python, Scala) Experience of cloud data stack use (e.g. SageMaker Notebooks, S3, Glue, Athena) Communicating technical ...

Continuously improve data systems and maintain awareness of best practice and emerging approaches Essential Skills Experience with large-scale analytics engines (e.g. Spark/PySpark) and scripting languages such as Python or Scala. Hands-on use of cloud data stacks (e.g. SageMaker Notebooks, S3, Glue, Athena) and modern storage ...

Continuously improve data systems and maintain awareness of best practice and emerging approaches Essential Skills Experience with large-scale analytics engines (e.g. Spark/PySpark) and scripting languages such as Python or Scala. Hands-on use of cloud data stacks (e.g. SageMaker Notebooks, S3, Glue, Athena) and modern storage ...

understanding of relational databases and data warehouse concepts (dimensions, facts, star schemas) and associated technologies (e.g., Databricks). Experience with Python (including Pandas/PySpark). Familiarity with software development and source control, in particular Git and CI/CD practices. Excellent communication and stakeholder management skills — able ...

understanding of relational databases and data warehouse concepts (dimensions, facts, star schemas) and associated technologies (e.g., Databricks). Experience with Python (including Pandas/PySpark). Familiarity with software development and source control, in particular Git and CI/CD practices. Excellent communication and stakeholder management skills — able ...

understanding of relational databases and data warehouse concepts (dimensions, facts, star schemas) and associated technologies (e.g., Databricks). Experience with Python (including Pandas/PySpark). Familiarity with software development and source control, in particular Git and CI/CD practices. Excellent communication and stakeholder management skills — able ...

services, data modeling, ETL/ELT development, and collaborative engineering practices. Key Responsibilities * Design, develop, and maintain scalable data pipelines using Azure Databricks (Python, PySpark, SQL). * Build and optimize ETL/ELT workflows that ingest data from various on-prem and cloud-based sources. * Work with Azure services … standards and best practices. Required Skills and Experience * Proven experience as a Data Engineer working with Azure cloud services. * Strong proficiency in Databricks, including PySpark, Spark SQL, notebooks, Delta Lake, and job orchestration. * Strong SQL and data modeling skills (e.g., dimensional modeling, data vault). * Experience with Azure Data ...

across multiple time zones, including offshore development teams Skills required: Proven track record building scalable data pipelines (batch and streaming) in production Expert Python, PySpark, Celery and RabbitMQ skills; deep experience with AWS data stack (Glue, OpenSearch, RDS) Expert skills within SQL with experience in both transactional RDBMS systems ...

databases and AWS cloud environments. Strong hands-on experience with ETL processes and tools (Talend, Informatica, Matillion, Pentaho, MuleSoft, Boomi) or scripting using Python, PySpark, and SQL. Solid understanding of data warehousing and modelling techniques (Star Schema, Snowflake Schema). Familiarity with security frameworks such as GDPR, HIPAA ...

optimising large-scale data pipelines Practical expertise with Databricks and Azure services Confident communicator with strong problem-solving ability Core Technologies Databricks DBT Python PySpark SQL Azure If you are interested in this role then please apply via this platform or email me a copy of your most ...

organisation ahead of the curve. Skills and Experience Proven experience as a Senior or Lead Data Engineer. Hands-on experience with Databricks and PySpark/Spark SQL. Strong expertise with the Azure data platform (Data Factory, Synapse, etc.). Solid understanding of data architecture and performance optimisation. What ...

data pipelines and ETL processes. Skills and Experience Proven experience as a Senior or Lead Data Engineer. Strong hands-on expertise with Databricks and PySpark/Spark SQL. Deep knowledge of the Azure data platform (Data Factory, Synapse, etc.). Solid understanding of data architecture principles and performance optimisation. ...

troubleshooting and incident response for deployed ML systems Required Skills and Experience Strong programming skills in Python; experience with ML libraries such as Snowpark, PySpark, or PyTorch Experience with containerization tools like Docker and orchestration tools like Airflow or Astronomer Familiarity with cloud platforms (AWS, Azure) and ML services ...

Databricks-based data warehousing solution Designing and developing data models, ETL pipelines, and data integration processes Large scale data processing using PySpark Monitoring, tuning, and optimising data platforms for reliability and performance Upskilling the wider team in Databricks best practices, including modern architecture patterns Location: Atherstone (Hybrid – 3 days ...

work independently and collaborate within cross-functional teams Some knowledge of programming languages such as Python (preferred) Experience with data processing technologies such as PySpark (preferred) Familiarity with AWS services and cloud-based data workflows (preferred ...

deliver scalable, high-quality data solutions. Key Responsibilities: Develop, optimise, and maintain ETL/ELT pipelines within Databricks Build reliable data ingestion frameworks using PySpark and Spark SQL Design well-structured data models across medallion/lakehouse architecture Work with DevOps teams to automate deployments using CI/… Ensure compliance with best practices around data governance, security, and quality Requirements: Strong experience with Databricks (jobs, notebooks, workflows, Delta Live Tables) Proficiency in PySpark and Python Hands-on experience with Azure Data Lake, Azure Data Factory, or similar cloud services Understanding of Delta Lake, streaming pipelines, and lakehouse ...

Senior Data Engineer Salary: Up to £70,000 I am working with a forward-thinking organisation that is modernising its data platform to support scalable analytics and business intelligence across the Group. With a strong ...

Design end-to-end data architectures using Medallion (Bronze/Silver/Gold) patterns Build metadata-driven ingestion pipelines and transformation frameworks Develop advanced PySpark/Spark SQL notebooks for data cleansing and modelling Create production-ready semantic models and support BI teams Implement governance, security, and CI/… clients to translate business requirements into technical solutions Essential Skills Strong experience with Microsoft Fabric workloads (Lakehouse, Data Factory, Pipelines, Notebooks, Semantic Models) Advanced PySpark/Spark SQL for large-scale transformations Integration with Dynamics 365, Dataverse, and/or Business Central CI/CD implementation using Azure DevOps ...

across modern BI platforms, while supporting decision-making in Financial Advice and Wealth Management. Key Responsibilities Build and deploy data models and reports using PySpark, Microsoft Fabric or Databricks, and Power BI Apply relational data modelling and data warehousing techniques (Kimball methodology or similar) Manage version control and collaboration … business, particularly in Financial Advice and Wealth Management Requirements 3-5 years' experience in relational data modelling and data warehousing Strong experience with PySpark, Power BI, Microsoft Fabric/Databricks Knowledge of Git and CI/CD pipelines Understanding of the UK Financial Advice & Wealth Management markets highly advantageous ...