24 of 24 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. ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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

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 ...

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/ ...

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 ...

Azure Data Engineer - 1/2 days onsite 18 month FTC Summary: Join a team building a modern Azure-based data platform. This hands-on engineering role involves designing and developing scalable, automated data pipelines ...

Snowflake - Warehouses, Streams/Tasks, Snowpipe, Snowpark, UDFs/Stored Procedures, Time Travel and Cloning. Snowpark and end-to-end pipeline development. Experience with PySpark, Polars or Dask is also valuable. Python, including testing, build tooling and engineering best practices. SQL, including Snowflake-optimised SQL. dbt, including Jinja templating … champion better ways of working. Nice to Have Experience with Docker, Java/Scala, Kafka, Pulsar, Azure Event Hub, Collibra, Apache Iceberg, Apache Arrow, PySpark or AI engineering technologies such as Snowflake AI, LangChain, LlamaIndex or Pinecone would be advantageous. This is a great opportunity to join a collaborative ...

Senior Developer able to write maintainable Python/PySpark and API integration code, with relevant experience within highly regulated and complex technology environments. You will display strong engineering judgement and the ability to contribute independently from day one, with technical depth of experience in overall architecture, core Python multiprocessing ...