1 to 25 of 55 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 ...

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 ...

hand over to Evoke teams Collaborate daily with Evoke ML engineering, the CF team, and AWS ProServe counterparts Skills & experience Must-have Python/PySpark - Expert. Production data pipeline development, not analysis-only AWS data/ML stack - Advanced. S3, Glue and/or EMR, IAM basics ...

hand over to Evoke teams Collaborate daily with Evoke ML engineering, the CF team, and AWS ProServe counterparts Skills & experience Must-have Python/PySpark - Expert. Production data pipeline development, not analysis-only AWS data/ML stack - Advanced. S3, Glue and/or EMR, IAM basics ...

tools and approaches. Hands-on experience with Microsoft Azure technologies, including MS Fabric, Data Factory, Azure Synapse & RDS. Experience with Python or PySpark for scripting and automating data tasks. Knowledge of CI/CD approaches for Data Platforms Knowledge of MS SQL Server, SSIS, Visual Studio, and SSDT projects. ...

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 ...

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 ...

actually trust and use. Essential Skills & Experience: Hands-on experience with Databricks and Microsoft Fabric Experience building and running production-grade pipelines Strong PySpark and SQL skills Experience with Delta Lake and Lakehouse architectures Good grasp of data modelling, orchestration and workflow automation Comfortable working with structured and semi ...

would be beneficial, but we're open to candidates with transferable experience from other cloud platforms. (Desirable) Progress OpenEdge experience. (Desirable) Databricks, Spark or PySpark experience. (Desirable) Experience feeding data into AI systems, including RAG pipelines, vector stores, embedding workflows, or using Azure AI Foundry or similar AI/ ...

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 ...

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 ...

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 ...

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 ...

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 ...

commercial or Agile environment. To be successful in this role it’s essential that you will: Have significant experience of AWS , Python, SQL, Gitand PySpark Desirable experience needed will be: SISS or SAS experience Quality Assurance and Test Automation experience Experience of Database technologies Experience in Financial Services organisation ...

Microsoft Fabric tools and the Databricks Lakehouse Platform to deliver clean, production-ready data for enterprise analytics. You will implement Delta Live Tables, write PySpark and SQL in Fabric Notebooks and Databricks clusters, and ensure data access control, quality checks, and governance through Unity Catalog. #J-18808-Ljbffr ...

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 ...

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 ...

Building and maintaining scalable data pipelines, pulling data in from core business systems and third-party sources. Designing and developing data solutions with Python, PySpark, SQL, notebooks and dataflows across a modern medallion architecture (Bronze, Silver, Gold). Creating and optimising data models that power high-quality Power … future analytics, AI and machine learning capability. Candidate Essential Experience, Qualifications and Skills Commercial data engineering experience (4+ years) SQL (4+ years) Python and PySpark (3+ years) Microsoft Fabric or an equivalent Azure data platform (2+ years) Medallion/layered lakehouse architecture (2+ years) Dimensional data modelling for analytics ...