1 to 25 of 37 PySpark Jobs in the North of England

ideally in enterprise-scale environments. Deep expertise in Azure Databricks, Azure Data Factory, Azure Synapse and Azure Data Lake. Hands-on experience with Spark (PySpark/SparkSQL), ETL/ELT design and data pipeline orchestration. Strong data modelling skills (Dimensional, ODS, Data Vault) and experience with data warehousing concepts. ...

scale data platforms,lakehousesand data warehouses. Data modelling and dimensional modelling techniques such as Kimball. ETL/ELT development and large-scale data integration. PySpark, Spark SQL and modern transformation techniques. Advanced SQL and relational databases including SQL Server, PostgreSQL and Oracle. Integrating structured, semi-structured and unstructured data ...

assisted software development tools. Exposure to agentic AI, workflow orchestration or retrieval-augmented generation. Key responsibilities Design and develop scalable data pipelines using Python, PySpark, Apache Kafka and Apache NiFi. Integrate vendor platforms and enterprise systems through REST APIs and secure authentication mechanisms. Build data processing and storage solutions ...

assisted software development tools. Exposure to agentic AI, workflow orchestration or retrieval-augmented generation. Key responsibilities Design and develop scalable data pipelines using Python, PySpark, Apache Kafka and Apache NiFi. Integrate vendor platforms and enterprise systems through REST APIs and secure authentication mechanisms. Build data processing and storage solutions ...

such as Claude Code or equivalent tools, to improve engineering productivity while maintaining high standards of quality, governance and security. Desirable experience Regulated environment. PySpark for large-scale data transformations. Migrating legacy data estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality ...

reusable data foundations. Essential Experience developing data engineering solutions on cloud platforms Strong SQL and Python skills. Experience with Databricks, Delta Lake and Spark (PySpark or Scala). Knowledge of modern data warehousing or lakehouse architectures. Hands-on experience developing production-grade data pipelines. Understanding of data modelling ...

accelerate development across code, infrastructure, testing and documentation while maintaining appropriate quality and security controls. Desirable experience Financial services or another regulated environment. PySpark for large-scale batch or streaming transformations. Migrating SQL Server and SSIS estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven ...

have: Proven experience as a Data Engineer working with large, complex datasets. Hands-on expertise with Apache Spark, and SQL. Strong proficiency in Python (PySpark preferred). Experience with AWS cloud services including S3, Glue, Lambda, IAM. Familiarity with ETL design, data modelling, and data lake/lakehouse concepts. ...

platform such as Databricks, Snowflake or Fabric, and orchestration tooling, with practical experience of ETL/ELT, data testing, Git and CI/CD; PySpark or dbt experience is beneficial. Working knowledge of finance data structures, including chart of accounts, entity hierarchy, sub-ledger to ledger relationships, intercompany ...

API Gateway, and CloudWatch. Design, develop, and maintain data pipelines and ETL workflows using technologies such as Glue, Spark/PySpark, Kafka, or similar platforms. Implement and maintain Infrastructure as Code (IaC) using Terraform or equivalent tools. Drive observability, monitoring, logging, and operational readiness across software platforms and services. ...

platform or data warehouse migration (cutover, reconciliation, parallel running, decommissioning) Deep, hands-on AWS data experience: Glue, Lambda, S3, Redshift and EMR Advanced Python, PySpark and SQL Production experience with Kafka or Amazon MSK, including Spark Structured Streaming Hands-on experience with Apache Iceberg or Delta Lake Strong data ...

looking for: Previous experience as a Technical Lead (hands-on) Deep, hands-on AWS data experience: Glue, Lambda, S3, Redshift and EMR Advanced Python, PySpark and SQL Production experience with Kafka or Amazon MSK, including Spark Structured Streaming Hands-on experience with Apache Iceberg or Delta Lake Strong data ...

Data Engineer Key skills: * Microsoft Fabric * Azure Cloud Technologies * Python * SQL Server/SQL * Data Warehousing & Data Modelling * Data Architecture * Data Pipelines & Integration Solutions * PySpark * ETL/ELT Development * Data Governance & Security * Source Control (Git) * Technical Leadership & Team Management You will be a Lead Data Engineer Developer with good ...

insights clearly to both technical and non-technical audiences. Some other highly valued skills include: Strong SQL and database experience. Knowledge of Python/PySpark and data analytics. Experience working in a Call Centre or Contact Centre environment. Strong communication and stakeholder management skills. Ability to lead technical teams ...

making. Key Responsibilities: Lead the design and development of curated, analytics-ready dimensional and semantic data models. Build, maintain and optimise complex SQL and PySpark transformation pipelines within Databricks. Define and maintain KPI definitions, conformed dimensions and consistent business logic across data domains. Ensure data quality, integrity, testing, observability ...

engineering best practicesYou have experience with Databricks, ideally also AzureYou have experience of working with technologies such as SQL, Apache Spark and Python including PySpark and PandasYou're excited to join a start-up in a role that you can shape and influenceYou're collaborative with excellent communication skillsApply ...

best practices Skills & Experience: Understanding of data processing using Apache Spark and Apache Airflow for task orchestration Use of Python, SQL, and familiarity with PySpark Understanding of EMR and reviewing output logs Use of Jupyter notebooks and/or Amazon Athena to query and validate data Data analysis ...

business stakeholders to deliver dashboards that meet Barclays standards and business needs. Some other highly valued skills may include: Knowledge of Python/PySpark and data analytics. Experience in a Call Centre or Contact Centre environment. Strong communication and stakeholder management skills. Ability to collaborate effectively across technical ...

Strong, demonstrable experience running A/B testing and causal inference in a product-focused environment. Core Technical Stack: Proficiency with SQL , Python/PySpark , and Snowflake . Experience with data visualisation tools (e.g. Tableau, Power BI) Hands-on experience with A/B testing and experimentation Experience with ...

Strong, demonstrable experience running A/B testing and causal inference in a product-focused environment. Core Technical Stack: Proficiency with SQL , Python/PySpark , and Snowflake . Experience with data visualisation tools (e.g. Tableau, Power BI) Hands-on experience with A/B testing and experimentation Experience with ...

Platforms: Google Cloud Platform, Amazon Web Services, Microsoft Azure, and Databricks. Experience in one or more of the listed Languages such as: Python, R, PySpark Experience in one or more of the following Agentic & Gen AI Platforms: such as Microsoft Copilot Studio, Adept AI, UiPath, OpenAI GPT-5 Agents ...

Machine Learning – Understanding of AI/ML concepts, experience with LLMs, prompt engineering, or integrating AI capabilities into applications • Data Technologies – Experience with Kafka, PySpark, Parquet and Avro data formats, Apache Airflow for workflow management, or Streamlit for building interactive data applications • Advanced Data Management – Strong SQL design, query ...

Required Skills & ExperienceEssentialMinimum 5 years' experience in Data Analytics (or 3+ years with a relevant PhD).Advanced SQL skills. Strong Python and/or PySpark experience. Experience working with Snowflake. Proven experience across the full data lifecycle, including: Data collectionData cleansingData modellingData aggregationData validationReportingExperience working within technology-focused environments. ...

ownership of client problems, handling everything from deep data engineering knowing that may require low/no code Palantir Foundry tooling, or Python and PySpark code repos - to building user-facing front-end applications and widgets in TypeScript or REACTLead Client Advisory: Sit directly alongside clients, goals and requirements ...

ownership of client problems, handling everything from deep data engineering knowing that may require low/no code Palantir Foundry tooling, or Python and PySpark code repos - to building user-facing front-end applications and widgets in TypeScript or REACTClient Advisory & Translation: Sit directly alongside clients, distinguish their goals ...