51 to 75 of 470 PySpark Jobs in the UK

analytics strategy AI & Automation Agentic AI patterns and intelligent automation solutions Document intelligence and AI-driven business use cases SQL Python and/or PySpark Data pipelines and transformation frameworks CI/CD concepts and deployment automation Azure DevOps and/or GitHub Infrastructure as Code awareness Environment promotion ...

solutions on cloud platforms (Azure preferred), leveraging Databricks as the core data engineering platform• Build and optimize sophisticated ETL/ELT data pipelines using PySpark, SQL, and Python, orchestrating complex data workflows through Databricks Workflows, Delta Live Tables, Azure Data Factory• Implement and maintain Delta Lake storage architectures … governance forums, and architectural review boardsThe candidateExperience and knowledge requirements:RequiredExperience in data engineering disciplines, with advanced, hands-on expertise in Databricks platform including PySpark framework, Delta Lake storage format, and Unity Catalog governanceExtensive experience in designing advanced data models, including medallion architectures, data lakes, and enterprise data warehousesExpert ...

solutions on cloud platforms (Azure preferred), leveraging Databricks as the core data engineering platform Build and optimize sophisticated ETL/ELT data pipelines using PySpark, SQL, and Python, orchestrating complex data workflows through Databricks Workflows, Delta Live Tables, Azure Data Factory Implement and maintain Delta Lake storage architectures … architectural review boards The candidate Experience and knowledge requirements: Required Experience in data engineering disciplines, with advanced, hands‐on expertise in Databricks platform including PySpark framework, Delta Lake storage format, and Unity Catalog governance Extensive experience in designing advanced data models, including medallion architectures, data lakes, and enterprise data ...

working in agile teams Strong judgment with the ability to balance strategic vision with pragmatic, incremental delivery Technical Skills Programming & Analysis: Python, R, SQL, PySpark Cloud Platforms: AWS, Azure, GCP Data Tools: Data profiling tools, data quality platforms, metadata management systems Visualization: Tableau, Power BI, or similar BI tools ...

/Azure Databricks for distributed compute, memory optimization, and Delta Lake formats. Data Engineering Languages: Advanced proficiency in SQL (T-SQL, SparkSQL) and Python (PySpark). Security & Compliance: Direct experience implementing security controls for sensitive or identifiable data, utilizing Azure Key Vault, Azure Monitor, Log Analytics, and Microsoft Purview. ...

Bronze, Silver, Gold). Experience building reusable and scalable data frameworks. Understanding of data quality, monitoring, governance, and production support. Python and/or PySpark experience. Experience with Spark Notebooks. SSIS and SSRS experience. Experience within professional services or legal environments. If you’re a Data Engineer with strong ...

communication skills. Experience leading or mentoring teams of engineers to deliver high-quality scalable data solutions. Deep expertise with the Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow). Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent. Strong ...

APIs, Prometheus, or Azure Monitor.• Maintain best practices for data engineering performance, testing, and documentation.Technical Skills Required• Strong proficiency with Databricks, Apache Spark (SQL, PySpark, Scala), and Delta Lake.• Deep understanding of Spark execution plans, shuffle optimization, and data partitioning strategies.• Experience tuning job configurations (e.g., memory management, parallelism ...

Looking ForProven hands-on experience with the Databricks platform, including orchestration and enterprise-scale Azure data engineering solutions.Strong technical skills in Python, PySpark, and SQL, with experience working with distributed data processing frameworks.Expertise delivering end-to-end data pipelines across ingestion, transformation, and serving layers within modern Data Lakehouse ...

analytics libraries (e.g., pandas, numpy, matplotlib)Exposure to DevOps, DataOps, and MLOps concepts and best practicesExperience with core technologies such as Python, PySpark, SQL, Airflow, Databricks, Kedro, Dask/RAPIDS, Docker, Kubernetes, and cloud services (AWS/GCP/Azure)Experience with Generative AI (GenAI) or agentic systems ...

storage Proficiency with Terraform (ideally the Databricks provider) and Gitbased CI/CD workflows Solid programming skills in Python and SQL; comfortable with PySpark and shell scripting Experience tuning Spark jobs and Delta tables (partitioning, Working knowledge of SSO/SCIM, identity providers and secretsmanagement Understanding of data security ...

best practices, including DevOps, DataOps, and MLOps, will be advantageousWhile we advocate using the right tech for the right task, we often leverage: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, Kedro (our open-source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions such ...

hand over to Evoke teams Collaborate daily with Evoke ML engineering, the CF team, and AWS ProServe counterparts Skills & experience Must-have Python/PySpark - Expert. Production data pipeline development, not analysis-only AWS data/ML stack - Advanced. S3, Glue and/or EMR, IAM basics ...

hand over to Evoke teams Collaborate daily with Evoke ML engineering, the CF team, and AWS ProServe counterparts Skills & experience Must-have Python/PySpark - Expert. Production data pipeline development, not analysis-only AWS data/ML stack - Advanced. S3, Glue and/or EMR, IAM basics ...

hand over to Evoke teams Collaborate daily with Evoke ML engineering, the CF team, and AWS ProServe counterparts Skills & experience Must-have Python/PySpark - Expert. Production data pipeline development, not analysis-only AWS data/ML stack - Advanced. S3, Glue and/or EMR, IAM basics ...

hand over to Evoke teams Collaborate daily with Evoke ML engineering, the CF team, and AWS ProServe counterparts Skills & experience Must-have Python/PySpark - Expert. Production data pipeline development, not analysis-only AWS data/ML stack - Advanced. S3, Glue and/or EMR, IAM basics ...

with both technical and non-technical audiences Nice to have: Production experience specifically in Microsoft Fabric Power BI, particularly Direct Lake mode Python/PySpark Data governance or security experience Experience enabling AI/ML workloads from a data platform, not just BI The details: Salary ...

Data Stack, critically ADF and Synapse (experience with Microsoft Fabric is a plus) Highly developed python and data pipeline development knowledge, must include substantial PySpark experience Demonstrable DevOps and DataOps experience with an understanding of best practices for engineering, test and ongoing service delivery An understanding of Infrastructure ...

Data Stack, critically ADF and Synapse (experience with Microsoft Fabric is a plus) Highly developed python and data pipeline development knowledge, must include substantial PySpark experience Demonstrable DevOps and DataOps experience with an understanding of best practices for engineering, test and ongoing service delivery An understanding of Infrastructure ...

Data Stack, critically ADF and Synapse (experience with Microsoft Fabric is a plus) Highly developed python and data pipeline development knowledge, must include substantial PySpark experience Demonstrable DevOps and DataOps experience with an understanding of best practices for engineering, test and ongoing service delivery An understanding of Infrastructure ...

Data Stack, critically ADF and Synapse (experience with Microsoft Fabric is a plus) Highly developed python and data pipeline development knowledge, must include substantial PySpark experience Demonstrable DevOps and DataOps experience with an understanding of best practices for engineering, test and ongoing service delivery An understanding of Infrastructure ...

hands-on experience with modern cloud data platforms (e.g. Databricks or Snowflake), ideally within AWS environments Advanced programming and data engineering skills in Python, PySpark and SQL, with a solid understanding of ETL pipelines and data transformation Proven experience in data modelling (end-to-end), including performance optimisation using ...

Informatica with thorough understanding of data transformation and orchestration processes Extensive Experience with AWS services including IAM Lambda EKS S3 Data Lake EMR PySpark MWAA and Lakehouse technologies, Apache Iceberg Proven expertise with Snowflake including performance tuning and efficient query design Experience with batch pipelines eg StreamSets and streaming ...

troubleshooting enterprise-scale data pipelines Strong expertise in ETL/ELT frameworks and data integration solutions Advanced proficiency in Python, SQL, Spark or PySpark Experience reviewing code and resolving issues across distributed data processing environments Experience implementing Infrastructure as Code using Terraform and/or CloudFormation Strong understanding ...

Strong hands-on experience with Quantexa implementation and development. Proven experience building and supporting big data platforms . Advanced knowledge of Apache Spark/PySpark . Strong programming skills in Scala and/or Python . Expertise in SQL and large-scale data modelling. Strong cloud experience across ...