1 to 25 of 100 PySpark Jobs in England

ingestion and transformation pipelines from multiple source systems. Strong SQL skills and experience working with relational data models. Experience with Python and/or PySpark for data transformation and automation. Understanding of Power BI, semantic models, DAX and reporting requirements. Experience working with APIs, JSON, CSV, Parquet, Delta tables ...

projects. Hands-on AWS experience. Experience working within Azure environments. Strong SQL skills and understanding of modern data engineering principles. Desirable Skills Python and PySpark development. AWS services including EMR, S3, Lambda, Athena, and Redshift. Apache Spark and large-scale batch processing. Terraform, CI/CD pipelines, and Infrastructure ...

data engineering Strong programming expertise in Python Hands-on experience with Databricks (workflows, notebooks, jobs, Delta Lake) Strong experience with Apache Spark/PySpark Experience building scalable ETL pipelines Proficiency in SQL and relational databases Experience with cloud platforms (AWS/Azure/GCP) Experience with modern data warehousing ...

data engineering Strong programming expertise in Python Hands-on experience with Databricks (workflows, notebooks, jobs, Delta Lake) Strong experience with Apache Spark/PySpark Experience building scalable ETL pipelines Proficiency in SQL and relational databases Experience with cloud platforms (AWS/Azure/GCP) Experience with modern data warehousing ...

from relational databases or operational systems 2. Modern data platforms and engineering tools: Practical knowledge of data engineering tools or approaches such as Python, PySpark, Microsoft Fabric, Azure Data Factory, Synapse, Lakehouse, OneLake or equivalent platforms 3. Data quality, validation and reconciliation: Good understanding of data quality, validation, reconciliation ...

OneLake, Data Factory, Synapse Data Engineering/Data Science, and Real-Time Analytics). Core Data Stack: High proficiency in advanced SQL , Python/PySpark, and data lakehouse architectures (Delta Lake). Cloud Infrastructure: Strong understanding of Microsoft Azure data services (Azure Data Factory, Azure Synapse, Azure ...

quality and security best practices Excellent stakeholder management and communication skills Experience operating within Agile delivery environments Desirable Experience Microsoft Fabric Power BI development PySpark REST API integrations Lakehouse architectures AI and Machine Learning platforms Retrieval Augmented Generation (RAG) Vector databases Generative AI solutions Power Platform technologies Data transformation ...

Duration: 5 months Essential Skills: Informatica Data project experience AWS Azure Desirable Skills: Hands-on expertise in AWS & Spark: Amazon EMR, S3, Lambda; strong PySpark/Python and SQL for large-scale batch processing. Data engineering at scale in government or similarly complex domains, including performance tuning and data ...

Methodology, Master Data Services, Data Quality (DQ), Purview * Azure Data Lake, Azure Data Factory, Logic Apps, Azure Databricks, Azure Functions, Azure Synapse * Python, Scala, PySpark * SharePoint, PowerPivot, Power BI, Data integration layers, Database and storage models, Delta loading, External data loads Desirable Experience * PowerShell scripting, Agile delivery environments ...

Methodology, Master Data Services, Data Quality (DQ), Purview * Azure Data Lake, Azure Data Factory, Logic Apps, Azure Databricks, Azure Functions, Azure Synapse * Python, Scala, PySpark * SharePoint, PowerPivot, Power BI, Data integration layers, Database and storage models, Delta loading, External data loads Desirable Experience * PowerShell scripting, Agile delivery environments ...

working with flexibility and autonomy Key Experience Deep end-to-end experience delivering enterprise Databricks analytics solutions Expertise in Lakehouse Architecture, Delta Lake, Spark, PySpark Strong data modelling skills (3NF, Kimball, Data Vault) Experience exposing Delta Lakehouse to Power BI or Tableau Skilled in Python, Scala ...

+ environment configurations. Analysing current Data Engineering solutions + identifying data migration requirements. Onboarding datasets, users + workloads onto target platform. Data Engineering: Python, PySpark, SQL, Data Pipeline Development, ETL/ELT Design, Data Modelling, Data Quality, Data Validation. AWS Cloud Platform, S3, IAM, CI/CD concepts, DevOps ...

+ environment configurations. Analysing current Data Engineering solutions + identifying data migration requirements. Onboarding datasets, users + workloads onto target platform. Data Engineering: Python, PySpark, SQL, Data Pipeline Development, ETL/ELT Design, Data Modelling, Data Quality, Data Validation. AWS Cloud Platform, S3, IAM, CI/CD concepts, DevOps ...

analytical use cases Ability to work closely with both technical and non-technical stakeholders, translating business requirements into data solutions Experience with Python or PySpark, particularly within Fabric Notebooks Exposure to Azure data services such as Data Factory, Synapse or Data Lake Power BI experience, including supporting reporting ...

essential - More to React JS and Java script Back-end: Expertise in C# .NET Core, REST APIs, and microservices-based development is essential Python (pyspark): Experience with data pipelines and analytics is a plus. Power BI: Familiarity with developing dashboards and data models. Architecture: Knowledge of microservices, API design ...

level Performance tuning of complex SQL/T-SQL at scale Confidence taking ownership of workstreams and mentoring junior team members Desirable for both: PySpark/Python in Fabric Notebooks, Azure Data Factory/Synapse/Data Lake, Power BI, AI/ML exposure ...

ADLS).· Solid understanding of Scrum practices and a strong Agile mindset.· Advanced proficiency in Python and its key data and ML libraries (NumPy, PySpark, Scikit learn, TensorFlow/PyTorch)· Working knowledge of generative AI models (e.g., ChatGPT, Claude), Databricks GenAI tooling (including embedding models), and modern data structures ...

data lineage. Experience managing compute across Fabric and Databricks environments. CI/CD knowledge using Azure DevOps, GitHub, and Databricks Asset Bundles. Proficiency in PySpark, Databricks SQL, T‐SQL, and Delta Lake internals. Strong understanding of Medallion Architecture and modern data modelling (Star Schema, Data Vault 2.0). Experience ...

including: CloudWatch, IAM, S3, Glue, ECR, EC2, EMR, DynamoDB, Lake Formation Experience with Infrastructure as Code (Terraform) Proficiency in Python, SQL, and familiarity with PySpark Experience with Apache Spark and data processing frameworks Hands-on experience with Apache Airflow for workflow orchestration Experience using Jupyter Notebooks and/ ...

Pipelines Databricks Data engineering, including data enrichment and validation. Database management, including partitioning of data ETL processes Azure - pipelines, data factory, function apps SQL Pyspark HDFS Big data, including how to optimise operations Core Competencies & Technical Skills (AI and emerging technology): Designs, integrates and operates AI-enabled solutions within ...

with Databricks SQL endpoints for data access. Ensure performance, scalability, and security of backend systems. Databricks & Data Engineering Develop ETL pipelines and workflows using PySpark on Databricks. Work with Delta Lake, Unity Catalog, and Databricks REST APIs. Optimize queries and pipelines for cost efficiency in cloud environments (Azure/ ...

looking for: Strong background in data engineering and software development Proven experience working with Databricks (essential) Hands-on expertise with tools such as Python, PySpark, Spark, and SQL Experience building and maintaining data pipelines and data platforms Solid understanding of data modelling and data architecture principles Experience working with ...

years consulting (or equivalent) experience required 7+ years Databricks solution design, implementation, engineering experience required Either 5+ years building data pipelines in Databricks using PySpark, Scala and/or Spark SQL and ability to work across structured, semi-structured and unstructured data OR 5+ years ML Engineering ...

specialist area.. Knowledge Essential Extensive knowledge with integration and transformation within Cloud Data Warehouses (e.g Azure, AWS, GCP) including languages such as Python, SQL, PySpark, Java Knowledge and experience with programming languages such as React, Typescript, Javascript is desirable. Skills and Experience Essential Proven ability to use data engineering ...

plateformes de données (batch & temps réel) au sein d’environnements distribués basés sur Cloudera. Vos missions : Développement & Industrialisation Développer des pipelines de traitement en PySpark . Mettre en place des flux temps réel via Kafka (topics, partitions, schémas, offsets). Modéliser et optimiser les schémas Cassandra (tables, clés, clustering ...