19 of 19 PySpark Jobs in the North of England

e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity with DevOps and CI/CD practices (Git, Azure DevOps etc) Ability ...

e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity with DevOps and CI/CD practices (Git, Azure DevOps etc) Ability ...

e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity with DevOps and CI/CD practices (Git, Azure DevOps etc) Ability ...

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) and distributed data processing Strong data modelling skills (Dimensional, ODS, Data Vault) and data warehousing concepts Proficiency in SQL, version control ...

more more) SQL, NoSQL, Data Lakes, Data Warehouses ELT/ETL tools: Databricks, Azure Data Factory, SSIS, Talend, Informatica, Palantir Python, PySpark managing and motivating teams, agile methodology Data governance and analytics expertise Strong communication skills to bridge business and technical requirements Salary & Benefits ...

years of hands-on experience in enterprise data modelling using tools such as ERwin, ER/Studio, or Power Designer Proven experience with Databricks, PySpark, Python, SQL, and modern data platform architectures including data lakes and data warehouses Knowledge of batch and streaming ingestion, CI/CD tools (Azure ...

Experience Extensive experience with Azure services including Azure Databricks, Azure Data Lake Storage, and Azure Data Factory. Advanced proficiency in SQL, Python, and Spark (PySpark), with a strong focus on performance optimization and distributed processing. Proven experience in CI/CD practices using industry-standard tools (e.g., GitHub Actions ...

data engineering and 1+ experience as Lead Data Engineer Proven expertise with Microsoft Azure Strong proficiency in Databricks with hands-on Scala (Spark) and PySpark . Expertise in Databricks for large-scale data engineering and analytics workloads. Design and implement scalable data architectures using Databricks Unity Catalog, Delta Lake ...

robust in-house team, this role could be the next step for you. Data Engineer Responsibilities: Design, build, and optimise data pipelines in Python, PySpark, SparkSQL, and Databricks. Ingest, transform, and enrich structured, semi structured, and unstructured data. Operate and support production grade data systems with strong observability ...

robust in-house team, this role could be the next step for you. Data Engineer Responsibilities: Design, build, and optimise data pipelines in Python, PySpark, SparkSQL, and Databricks. Ingest, transform, and enrich structured, semi structured, and unstructured data. Operate and support production grade data systems with strong observability ...

skills, including DAX and data modelling. Strong understanding of relational databases, data warehousing, and tools such as Databricks. Experience with Python (Pandas/PySpark) and Git/CI/CD processes. Excellent communication skills and high attention to detail. Experience in housing, construction, or ERP/CRM systems (COINS ...

services to deliver robust cloud solutions Coaching and supporting Data Engineers and Associate Engineers Experience Required Strong hands-on experience with Azure, Databricks and PySpark, Deep Azure data engineering expertise (ADF, Databricks, ADLS Gen2, Synapse, Azure SQL, Functions, Key Vault) Experience delivering end-to-end data solutions in cloud ...

services, data modeling, ETL/ELT development, and collaborative engineering practices. Key Responsibilities * Design, develop, and maintain scalable data pipelines using Azure Databricks (Python, PySpark, SQL). * Build and optimize ETL/ELT workflows that ingest data from various on-prem and cloud-based sources. * Work with Azure services … standards and best practices. Required Skills and Experience * Proven experience as a Data Engineer working with Azure cloud services. * Strong proficiency in Databricks, including PySpark, Spark SQL, notebooks, Delta Lake, and job orchestration. * Strong SQL and data modeling skills (e.g., dimensional modeling, data vault). * Experience with Azure Data ...

data for critical client projects. How to develop and enhance your knowledge of agile ways of working and working in open source stack (PySpark/PySql). Quality engineering professionals utilise Accenture delivery assets to plan and implement quality initiatives to ensure solution quality throughout delivery. As a Data ...

development and optimisation of scalable data and pipelines in a cloud-based environment, building and managing ETL processes using tools such as Azure, Databricks, PySpark and SQL click apply for full job details ...

deliver scalable, high‐quality data solutions. Key Responsibilities: Develop, optimise, and maintain ETL/ELT pipelines within Databricks Build reliable data ingestion frameworks using PySpark and Spark SQL Design well-structured data models across medallion/lakehouse architecture Work with DevOps teams to automate deployments using CI/… Ensure compliance with best practices around data governance, security, and quality Requirements: Strong experience with Databricks (jobs, notebooks, workflows, Delta Live Tables) Proficiency in PySpark and Python Hands-on experience with Azure Data Lake, Azure Data Factory, or similar cloud services Understanding of Delta Lake, streaming pipelines, and lakehouse ...

deliver scalable, high-quality data solutions. Key Responsibilities: Develop, optimise, and maintain ETL/ELT pipelines within Databricks Build reliable data ingestion frameworks using PySpark and Spark SQL Design well-structured data models across medallion/lakehouse architecture Work with DevOps teams to automate deployments using CI/… Ensure compliance with best practices around data governance, security, and quality Requirements: Strong experience with Databricks (jobs, notebooks, workflows, Delta Live Tables) Proficiency in PySpark and Python Hands-on experience with Azure Data Lake, Azure Data Factory, or similar cloud services Understanding of Delta Lake, streaming pipelines, and lakehouse ...

data for critical client projects. How to develop and enhance your knowledge of agile ways of working and working in open source stack (PySpark/PySql). Quality engineering professionals utilise Accenture delivery assets to plan and implement quality initiatives to ensure solution quality throughout delivery. As a Data … contribute to data analytics insights and visualization concepts, methods and techniques We are looking for experience in the following skills: Palantir (Must Have) Python PySpark/PySQL AWS or GCP Set yourself apart: Palantir Certified Data Engineer Certified cloud data engineering (preferably AWS) What ...

development and optimisation of scalable data and pipelines in a cloud-based environment, building and managing ETL processes using tools such as Azure, Databricks, PySpark and SQL. The role would suit a strong Data Engineer with 2+ years' commercial experience working with cloud-based data tech (Azure & AWS), Python … relevant languages for ETL), relational and non-relational databases. Key skills required: Proficiency in implementing ETL pipelines Azure/AWS cloud proficiency Python/PySpark Strong SQL skills for database management SSRS/SSIS Ability to develop, optimise & maintain complex SQL queries & stored procedures (T-SQL) The role ...