23 of 23 Remote/Hybrid 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 ...

understanding of modern data architectures including Data Lakes, Data Warehousing, Lakehouse Architecture, and Medallion Design Patterns. Strong hands-on knowledge of Databricks, Spark/PySpark, SQL, and data engineering best practices. Expertise in data modelling techniques including dimensional modelling, Data Vault, and canonical data models. Strong understanding of 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 ...

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 ...

Ability to manage workload independently and drive initiatives proactively. Experience designing and supporting enterprise-scale cloud data platforms. Skills ETL, Power Automate, Power BI, PySpark #J-18808-Ljbffr ...

required as well as a solid understanding of working in a cloud-based environment (AWS is preferred).Proficient using transformation tools such as PySpark/Pandas.Knowledge and practice of graph databases is preferred but not required.Key responsibilities/Skills and experienceFamiliarity using data quality frameworks, ie. Great Expectations.Experience building ...

solutions Requirements: Enterprise data warehouse architecture and design Microsoft Fabric, Azure Data Platform technologies and modern Lakehouse architectures Databricks, Unity Catalog and Delta Lake PySpark, Databricks, SQL Medallion Architecture implementation Data modelling approaches including Star Schema and Data Vault Data governance, security and access management Why This Opportunity Greenfield ...

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 ...

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 ...

Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Experience in source-control software, e.g., GitHub Proficient at communicating results in a concise manner both verbally and written Experience in data ...

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 ...

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 ...

Hybrid, 3 days onsite). This 12-month fixed-term contract role focuses on building and supporting modern cloud-based data platforms using AWS, PySpark, and IaC. You will work with Terraform, GitLab CI/CD, and collaborate with engineers to deliver secure, scalable cloud solutions. You’ll join ...

Role Description Location:West Yorkshire- multiple locations(Hybrid- 3 days working from onsite-Mandatory) Immediate start Permanent/Contract inside IR35/Fixed term contract We're looking for a Lead Data Engineer to join ...

/ETL workflows within a Fabric Lakehouse environment Work with OneLake, Lakehouse architecture, and modern data engineering best practices Utilise PySpark, SQL and Databricks for complex data transformation and engineering workloads Create robust data ingestion, orchestration and monitoring processes Support the development of enterprise-wide analytics solutions and Power … with Microsoft Fabric, including Data Factory, Dataflows, Notebooks and Lakehouse solutions Experience building and supporting production-grade ELT/ETL pipelines Strong skills in PySpark and SQL Experience working with OneLake, Delta formats or modern Lakehouse architectures Exposure to Databricks and distributed data processing environments Understanding of data modelling ...

Location:West Yorkshire- multiple locations(Hybrid- 3 days working from onsite-Mandatory)Immediate startPermanent/Contract inside IR35/Fixed term contractWe’re looking for a Lead Data Engineer to join UST Data Team. As ...

GBMs, GAMs, Random Forests, Neural Networks and clustering techniques Knowledge of statistics and distributions commonly used in insurance Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Proficient at communicating results in a concise manner both verbally and written Behaviours: Motivated by technical excellence Driven to deliver iterative ...

modern data platform. Develop and maintain Medallion Architecture data layers, ensuring data is available for reporting and analytics. Create high-performance data transformations using PySpark, Databricks and Fabric Notebooks. Implement data governance and access controls through Databricks Unity Catalog. Support CI/CD deployment processes using Git integration … within a Data Engineering environment, delivering reliable and scalable data solutions. Strong hands-on experience with Microsoft Fabric and Databricks. Strong programming capability across PySpark and T-SQL. Experience working with Delta Lake, Lakehouse architectures and modern cloud data platforms. Understanding of data quality frameworks, testing approaches and governance ...

based data platforms. This is an excellent opportunity for an early to mid-career cloud or data engineer looking to develop expertise in AWS, PySpark, platform engineering, and Lakehouse technologies within a collaborative and technology-driven environment. The successful candidate will work closely with senior engineers to build, test … cloud data solutions and engineering best practices. Key Responsibilities Assist in the development, configuration, and testing of Lakehouse Core Platform components. Implement and maintain PySpark-based data transformation pipelines. Contribute to shared platform libraries and reusable engineering components. Support deployment and automation activities using Infrastructure as Code practices. Follow ...

join a team developing modern cloud-based data platforms. You will collaborate with senior engineers to build and support core platform components, focusing on PySpark transformations and AWS-based data services within a Lakehouse architecture. The role emphasizes scalable cloud data solutions, collaboration, and adherence to engineering standards, with ...

champion best-practice methods; upskill the team through coaching and code reviews. Query and engineer large datasets (e.g., Python/R/SQL/PySpark) on modern platforms (e.g., Azure Databricks). Communicate pricing proposals and insights clearly and persuasively to stakeholders at all levels. Collaborate with Modelling, Optimisation … problem solving capabilities with the ability to apply market standard pricing techniques to non-standard products. Proficiency in programming languages such as R, Python, PySpark, SAS, or SQL. Good knowledge of Azure Databricks and modern data technologies. Technical expertise in predictive modelling techniques e.g. GLMs. Experience with WTW Radar ...