1 to 25 of 55 Permanent PySpark Jobs in the North of England

Databricks ecosystem. What you'll need: Strong experience building data pipelines using Azure Data Factory, Databricks and Azure Data Lake. Advanced SQL and Python (PySpark) skills for data transformation, automation and optimisation. Hands-on experience with Delta Lake, Spark, Databricks Workflows and Structured Streaming. Knowledge of data warehousing, lakehouse ...

deep Azure Synapse/Databricks experience with clear ability to specialise quickly in Fabric. Expert SQL/T-SQL plus strong Python or PySpark, with a track record of building maintainable ELT/ETL pipelines and analytical data models. Strong Power BI and DAX experience, including semantic modelling, incremental ...

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. ...

3+ years with strong Foundry depth). 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. ...

storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You’ve got a background in software engineering, including Front End technologies like JavaScript. You’re a problem-solver, pragmatically exploring options ...

enterprise data source integration — MS SQL Server (on-premises and Azure SQL) and Oracle Database ingestion into Azure landing zones Strong Apache Spark skills — PySpark or Scala, optimisation, partitioning, and job scheduling in Databricks Experience assessing and remediating partially built or vendor-abandoned data platform implementations Proven ability ...

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 ...

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 ...

data platform from scratch, with responsibility for architecture and delivery in a business with limited existing data capability Strong SQL and Python or PySpark skills, with practical experience of ELT pipelines, dimensional modelling, source control and CI/CD Experience putting data governance and self-service BI into practice ...

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 ...

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. ...

Generation), Serverless, DWH models, Data Mesh, Data Fabric, Medallion and Data Products. Hands on mindset : Fluent in the language of data, whether SQL, Python, PySpark, R or Scala. Open formats including Parquet, Iceberg and JSON. Agile Ways of Working Run and contribute to agile ceremonies, helping to shape ...

Databricks Serverless configuration and workload optimisation* Databricks SQL and Delta Lake development* Cluster management, compute policies, autoscaling, and workload monitoring**Data Engineering*** Strong Python, PySpark, and SQL development skills* Design and build ingestion and transformation pipelines* Full and incremental data loading* CDC (Change Data Capture) implementation* Data quality controls ...

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

knowledge of Matillion’s Data Productivity Cloud/Matillion ETL, or primary competitive data integration platforms. Big Data & Analytics Ecosystems: Experience with Spark/PySpark, modern Data Lakes/Lakehouses, and MPP database architectures (Teradata, Vertica, Netezza). Education: Bachelor’s or Master’s degree in Computer Science, Data ...

responsibilities. Ensure solutions are secure, scalable, maintainable, and aligned with organisational standards and governance requirements. Design, build, and optimise data pipelines on Databricks using PySpark and Spark SQL, applying Delta Lake and a medallion/Lakehouse architecture. Implement data validation and reconciliation checks, and automated testing across pipelines … duties as required. Skills and Experience Strong understanding of data engineering principles, data architecture, and cloud-based data platforms. Proficient in Python (PySpark) and SQL for building and optimising data transformations at scale. Strong hands-on Databricks experience. Experience with Azure data storage technologies (Azure SQL, Data Lakes, Blob ...

Implement automated testing, CI/CD patterns + deployment best practices for Foundry-based data assets. Technical Environment: Data Engineering, Palantir Foundry, Python, SQL, PySpark, Spark SQL + Cloud (AWS, Azure, GCP), CI/CD, Git based workflows. Benefits: £75,000 - £80,000 (DOE) + Remote/Hybrid Working ...

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 ...

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 ...

doing Developing and maintaining Power BI reports, dashboards and semantic models Designing and improving ETL and ELT pipelines using SQL, Python and, where appropriate, PySpark or Spark Working with Microsoft Fabric, Azure data services, data warehouses, lakehouses and data lakes Translating business requirements into practical BI and data solutions … stakeholders It would be beneficial if you also have Knowledge of data modelling practices, including star and snowflake schemas and normalisation Experience with Python, PySpark or Spark, Azure, DevOps or Microsoft Dynamics 365 Finance and Operations An understanding of business operations A full driving licence, as travel to Group ...

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 ...

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 ...

experience with Axiom (plus) and regulatory reporting flows (plus) Excellent communication; proven stakeholder engagement Ability to learn/adapt to new technologies Skilled PySpark, HDFS, SQL, Airflow, data modeling, and ETL processing. Familiarity with GitLab and Jupyter Notebook is preferred, and knowledge of Java will be considered an added ...

Delta Lake, with governance, security, and real-time processing at scale. The role sits in the Enterprise Data Team and requires strong SQL and PySpark, plus experience with cloud-native data platforms. Hybrid working available, with 2 days in the office and 3 days from home. #J-18808-Ljbffr ...

functional teams to deliver high-quality technical solutions. Support the ongoing maintenance and optimisation of platform services. Essential Skills & Experience Hands-on experience with PySpark for data transformation and processing. Experience working with AWS data services , including: AWS Glue Amazon S3 Experience using Terraform for Infrastructure as Code. Experience ...