1 to 25 of 64 PySpark Jobs in London

Criteria 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 ...

contribute to team capability building Technical Stack Core: Azure Data Factory Azure Synapse Analytics Azure Data Lake Storage Gen2 SQL Server Databricks Enhancements: Python (PySpark, Pandas) CI/CD (Azure DevOps) Infrastructure as Code (Terraform, Bicep) REST APIs GitHub Actions Desirable: Microsoft Fabric Delta Live Tables Power BI dataset ...

needed: • 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 ...

Strong proficiency in SQL , including Spark SQL and MS SQL Server , for querying, data manipulation, and performance optimization. Hands-on experience with Python and PySpark for data processing, transformation, and automation tasks. Proven ability to design, build, and maintain scalable data pipelines for batch and streaming data using modern ...

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 ...

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 ...

Experience * Proven experience delivering enterprise-scale Databricks solutions end-to-end. * Strong background in Lakehouse Architecture, including structured and unstructured data. * Expertise in Spark, PySpark, Delta Lake, and Databricks workflows. * Experience building scalable ETL/ELT pipelines, including Delta Live Tables. * Strong programming skills in Python, Scala, or SQL. ...

Engineer or in a similar role Proven experience with cloud-based data platforms (Azure, AWS, SQL, Snowflake, Springserv); Strong proficiency in Spark SQL and PySpark , including complex transformations Experience building ETL/ELT pipelines using tools such as Azure Data Factory or equivalent Ability to write efficient, reusable scripts ...

Designing and building cloud based data and machine learning pipelines that prepare data for analytics, AI, and product use ·Writing clear, well-structured Python, PySpark, and SQL to transform and validate data from multiple upstream sources ·Taking ownership of data quality, consistency, and reliability across the pipeline lifecycle ·Shaping ...

experience required Strong experience in data engineering Proven, hands-on experience working with Palantir Foundry in a production environment. Strong proficiency in Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. ...

experience required Strong experience in data engineering Proven, hands-on experience working with Palantir Foundry in a production environment. Strong proficiency in Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. ...

Lloyd's of London or London Market insurance sector Deep understanding of Delta Lake, Medallion architecture, Lakehouse patterns and data modelling. Strong Python, PySpark and Spark SQL capability Solid understanding of data governance Proven track record of ownership, delivery and operating effectively in fast-paced environments. What ...

analytics, data platforms, or regulatory reporting environments. Strong understanding of insurance data domains , including policy lifecycle, underwriting, claims, and risk data. Strong proficiency in PySpark, Python, and SQL for large-scale data processing. Extensive experience building ETL/ELT pipelines and scalable data architectures . Hands-on experience with ...

Maintain documentation, lineage, governance standards. Required Skills/Experience The ideal candidate will have the following: Strong SQL; Snowflake ELT; dbt experience. Python/PySpark, ETL/ELT design. Data Vault 2.0 or dimensional modeling. AWS services (S3, Glue, Lambda, Redshift) or GCP equivalents. Experience with CI/ ...

CDF. High technical proficiency with Cosmos DB SDKs (e.g., .NET, Java, Python, Node.js) Thorough understanding of Spark distributed computing concepts. High technical proficiency in PySpark and Spark Concepts. Experience with concurrency patterns, CLR, and scalable application design. Deep understanding of Azure services including Azure Functions, App Services ...

data pipelines • Engineering ML systems on modern cloud platforms • Working with architects and data engineers on enterprise AI platforms Technology • Python • SQL • Spark/PySpark • TensorFlow, PyTorch or similar frameworks • AWS, Azure or GCP • Databricks or Snowflake • Exposure to GenAI or LLMs Background We’re interested in engineers with ...

Data bricks). Experience with Power BI or other Azure Data Services is a significant advantage. Strong experience with SQL. Familiarity with Python/PySpark is a plus. Deep knowledge of modeling approaches such as Kimball, Inmon, and Data Vault 2.0, with the ability to select the most appropriate ...

Build and operate scalable data pipelines using Microsoft Fabric (OneLake/Delta Lake, Data Factory, Synapse Data Engineering). Develop batch processing solutions using PySpark, Spark SQL, Python, and SQL , with a focus on performance, resilience, and data quality. Support reporting and MI use cases, including transformations and data … Data Engineer or equivalent. Active SC clearance (BPSS minimum). Strong hands-on experience with Microsoft Fabric and Azure data services. Advanced skills in PySpark, Spark SQL, Python, and SQL . Experience delivering data engineering solutions in government or similarly regulated environments. CI/CD, DevOps, and IaC experience ...

Lead Data Engineer - Pyspark/AWS/Python/SAS - Financial Sector As a Lead PySpark Engineer, you will design, develop, and fix complex data processing solutions using PySpark on AWS. You will work hands-on with code, modernising legacy data workflows and supporting large-scale … PySpark migrations. The role requires strong engineering discipline, deep data understanding, and the ability to deliver production-ready data pipelines in a financial services environment. Essential Skills PySpark & Data Engineering Minimum 5+ years of hands-on PySpark experience. SAS to Pyspark migration experience Proven ability ...

Hands-on experience with Microsoft Purview • Strong Azure Data Platform experience: ADLS Gen2, Azure Databricks, Data Factory• Hands-on data engineering experience (Spark/PySpark, Delta Lake)• Knowledge of security and compliance controls, GDPR, PII/DLP, RBAC/ABAC• Experience leading Agile teams and managing risks, dependencies ...

improvement initiatives to uplift practices and delivery maturity. Required Technical Skills & Expertise AWS Data & Analytics (Hands-On Expertise) AWS Glue (ETL/ELT development, PySpark, Glue Catalog) Apache Spark AWS Redshift (modelling, optimisation) AWS Lambda AWS RDS AWS Step Functions Experience with Open Table Formats: Delta Lake Apache Hudi ...

TensorFlow Serving, TorchServe). Familiarity with ML lifecycle tools such as MLflow, Kubeflow, or Azure ML Pipelines. Experience working with distributed data processing (e.g., PySpark) and SQL. Understanding of software engineering best practices, including version control (Git). Knowledge of CI/CD principles in ML environments. Experience with ...

basis, clarifying ownership and integration points, and capturing this information in a way that supports risk assessment and decommissioning decisions. Responsibilities: Python and PySpark are required as supporting capabilities, used where needed to analyse data pipelines and confirm how data moves and transforms in practice. The role also requires ...

Matplotlib) Data visualisation using Power BI or Tableau ideal Familiarity with Agile delivery methodologies Microsoft Fabric Power Apps, Power Automate, Dataverse Apache Spark/PySpark ...

design and optimisation within Microsoft Fabric Lakehouse, including Data Pipelines, Notebooks, and cloud-based ingestion/transformation layers. Deliver complex SQL, Python, and PySpark solutions for large-scale distributed processing. Coordinate workloads across BI developers and mentor junior and mid-level team members. Ensure BI quality, governance, documentation ...