21 of 21 Remote/Hybrid 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. ...

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. ...

data platforms, lakehouses and 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 ...

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 ...

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 ...

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 ...

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. ...

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 ...

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 ...

Python for data processing, pipelines and model serving, alongside the libraries and tooling used by our data science team (such as pandas, Polars and PySpark) What we’re looking for: Significant experience as a senior or principal engineer leading the design and delivery of data‐intensive systems A track ...

data ecosystem. You will lead a small team, mentor junior engineers, and collaborate with stakeholders to deliver scalable data pipelines on Databricks using PySpark and Spark SQL. The role involves guiding data strategy, migrating legacy processes, and delivering enterprise data solutions in a cloud-native environment, with hybrid #J ...

clients to gather requirements, embed CI/CD and IaC, and deliver cloud data solutions across Azure and AWS. Strong communication and hands-on PySpark/SQL are essential. #J-18808-Ljbffr ...

enhance operational telemetry, monitoring and platform observability Streaming & Distributed Data Processing Build and optimise solutions using:Apache Kafka Apache NiFi Apache Spark/PySpark Hadoop ecosystem technologies Hive and large-scale data storage platforms Develop scalable matching, enrichment and reconciliation services Create canonical data models spanning multiple source systems … capabilities for compliance-critical processes Work closely with engineering, architecture, risk and operational stakeholders Software Engineering & Delivery Write clean, maintainable and testable Python and PySpark code Contribute to CI/CD pipelines and automated deployment processes Participate in code reviews and engineering standards initiatives Deliver solutions through Development ...

query, validate and optimise data across cloud-based analytical platforms such as Athena, Redshift and Azure Synapse Build scalable data processing solutions using PySpark, Python and cloud-native orchestration services Implement data quality checks, validation processes, monitoring and logging to ensure trusted and reliable data delivery Support the performance … engineering, integration and analytics challenges Collaborate with experienced engineers, architects and data specialists in supportive, multidisciplinary teams Develop expertise across cloud-native data services, PySpark, SQL and modern engineering practices Access mentoring, knowledge sharing and development opportunities to help you grow your career Contribute to solutions that deliver measurable ...

Data Engineer in the United Kingdom to design, build, and maintain data pipelines on a modern AWS-native stack. You will use Spark/PySpark for distributed processing, Airflow for orchestration, and Terraform for infrastructure as code in a hybrid work arrangement with weekly travel to Newcastle office. ...

hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong analytical and engineering skills to deliver trusted, well-governed data assets … data programme - designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics, you will help deliver reliable ...

bonus and an extensive benefits package. What you'll be doing Design, build and maintain scalable data pipelines and data products using Databricks , PySpark, Spark SQL and Delta Lake. Develop and optimise ETL/ELT processes to ingest, transform and curate data from internal and external systems. Shape enterprise … help mature a growing data function. What you need to bring “Senior” level experience in data engineering, with strong hands-on Databricks skills (PySpark, Spark SQL, Delta Lake, etc) Advanced SQL and Python coding skills. A track record of building and optimising enterprise-scale data pipelines and ETL/ ...

query, validate and optimise data across cloud-based analytical platforms such as Athena, Redshift and Azure Synapse Build scalable data processing solutions using PySpark, Python and cloud-native orchestration services Implement data quality checks, validation processes, monitoring and logging to ensure trusted and reliable data delivery Support the performance … engineering, integration and analytics challenges Collaborate with experienced engineers, architects and data specialists in supportive, multidisciplinary teams Develop expertise across cloud-native data services, PySpark, SQL and modern engineering practices Access mentoring, knowledge sharing and development opportunities to help you grow your career Contribute to solutions that deliver measurable ...

data science, statistical modelling and using data to solve problems. Some experience with programming languages or analytical tools, such as Python, SQL, SAS or PySpark, gained through university projects, placements, internships or employment. An understanding of statistical concepts and an interest in predictive modelling or machine learning. Strong analytical ...

influence delivery standards and contribute to reusable frameworks and accelerators. What You’ll Be Doing Building production-grade data pipelines with Databricks, PySpark and SQL Developing Lakehouse architectures using Delta Lake, Unity Catalog and medallion frameworks Gathering requirements and providing technical guidance to client teams Embedding CI/… team Modernising legacy data platforms to unlock more value from client data estates What You’ll Bring Commercial Databricks delivery experience Strong hands-on PySpark and SQL Solid grounding in data engineering, data modelling and Lakehouse architecture Experience on Azure and/or AWS Source control, CI/ ...