1 to 25 of 138 PySpark Jobs

/version control Strong communication skills with both technical and non-technical stakeholders Desirable Skills: Microsoft Fabric Azure Synapse Analytics Databricks Apache Spark/PySpark dbt Apache Airflow Power BI Azure DevOps CI/CD pipelines Terraform What's On Offer: £65k+ salary package Hybrid working model Company bonus ...

transformation and orchestration pipelines, integrating data from cloud, on‐premises and third‐party business systems. Strong hands‐on capability with SQL, Python, Spark and PySpark for data engineering, analytics and automation workloads. Experience with Azure Databricks and/or Microsoft Fabric engineering workloads, including notebooks, Delta Lake, data transformation ...

Data Quality, Data Integration, Data Analytics, Data Visualisation, Data Science and Business Intelligence.Confident in delivering solutions using Databricks & developing and optimising data pipelines using PySpark within Databricks environments.Proven experience building, publishing, and supporting dashboards and reports using Power BIStrong experience and programming skills in languages such as Python ...

with one or more cloud data ecosystems:Azure (Data Factory, Synapse, Fabric, ADLS, Databricks)AWS (Glue, Redshift, EMR)GCP (BigQuery, Dataflow)Databricks (Spark/PySpark)Snowflake (SQL, Snowpark, performance tuning)Desirable ExperienceStrong SQL and/or Python capability, and familiarity with tools such as dbt, Git, CI/ ...

data engineering solutions using Python . Extensive hands-on experience with Databricks , including Workflows, Notebooks and Delta Lake. Strong experience with Apache Spark/PySpark . Proven experience building scalable ETL/ELT pipelines. Strong SQL and data modelling skills. Experience designing modern Lakehouse architectures. Experience working with cloud ...

complex Power BI reports and dashboards. Proficiency in writing complex DAX formulas and strong understanding of Power Query. Programming Skills: Requires strong Python/PySpark for data manipulation, analysis, and automation, alongside advanced T‐SQL. Performance Optimisation: Experience of monitoring, troubleshooting, and optimising data pipeline and storage performance within ...

test automation tools and frameworks Experience validating dashboards, reports, and datasets within Power BI Azure Data Factory Azure Synapse Analytics Microsoft Fabric Python or PySpark ...

have To be considered for this role, we would love you to have: Extensive experience in programming/query language skills including Python/PySpark and SQL. Data engineering experience - via data preparation, transformation & conversion to allow for rapid processing of system data across a number of different formats ...

Exposure to metadata management, data governance, and data quality frameworks Experience with CI/CD (Azure DevOps, Gi t) and ideally scripting (Python/PySpark) Job Offer £700-£800 per day (Inside IR35) Hybrid working (2-3 days in London) Initial 6-month contract with extension potential ...

will bring strong expertise in Power BI, Microsoft Fabric and associated languages such as DAX, SQL and Power Query. Familiarity with Azure DevOps and PySpark/Python would be beneficial as would experience of working with cloud-based data solutions. Principal Responsibilities Report Development: Develop and deploy Power ...

clear technical tasks. Mentorship: A proactive mindset, eager to provide guidance to less experienced developers and support collaborative pair‐programming. Desirable Skills Experience with PySpark or PySQL. Exposure to SQL Server RDBMS and Managed Instance. Working knowledge of Azure Event Hubs or Active Batch. A keen interest in applying ...

analytics libraries (e.g., pandas, numpy, matplotlib)Exposure to DevOps, DataOps, and MLOps concepts and best practicesExperience with core technologies such as Python, PySpark, SQL, Airflow, Databricks, Kedro, Dask/RAPIDS, Docker, Kubernetes, and cloud services (AWS/GCP/Azure)Experience with Generative AI (GenAI) or agentic systems ...

deliver practical, value-driven data solutions. Drive continuous improvement across data engineering, reporting, and analytics capabilities. Essential Requirements Strong expertise in SQL and Python (PySpark desirable). Proven experience designing and building cloud-based data platforms from inception. Hands-on experience with Databricks, Spark, modern data lake/lakehouse ...

modern UI patterns, develop framework is essential Back-end: Expertise in C# .NET Core, REST APIs, and microservices-based development is essential Python (pyspark): Experience with data pipelines and analytics is a plus. Power BI: Familiarity with developing dashboards and data models. Architecture: Knowledge of microservices, API design ...

best practices, including DevOps, DataOps, and MLOps, will be advantageousWhile we advocate using the right tech for the right task, we often leverage: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, Kedro (our open-source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions such ...

quality practices - Promote and champion the exceptional work being accomplished. Essential Skills & Experience: Extensive experience in programming/query language skills including Python/PySpark and SQL. Data engineering experience - via data preparation, transformation & conversion to allow for rapid processing of system data across a number of different formats ...

need deep, hands‐on fluency across the modern Azure data stack — and strong bridging skills for the legacy environment you're migrating from. Python, PySpark, Azure Databricks (Delta Lake, Unity Catalog, pipelines, notebooks, jobs), Azure Data Lake Storage Gen2, Azure Data Factory, Azure Key Vault, Power BI (complex model ...

data feed pipeline migrations repointing from an existing Data Warehouse to a new AWS Data Lakehouse architecture, underpinned with AI ETL accelerators, Python/PySpark, SQL and YAML configs.Test initial bulk then deltas from legacy to new.Execute automated test suites as part of sprint-based delivery and regression cycles ...

Knowledge of data warehousing and modern data architectures Strong problem-solving and stakeholder communication skills Desirable Skills Experience with Azure Data Factory Python or PySpark development experience Experience working within cloud data transformation programmes Understanding of data governance and security best practices Contract Details 6-Month Contract ...

such as S3, Kinesis, DMS, SNS, Glue, Athena, RDS • Experience with Data Warehouse databases like Snowflake/Redshift/BigQuery • Experience with Python/PySpark • Experience with implementing Rest APIs. • Experience with using and integrating BI tools such as QuickSight, Looker, Power BI, Tableau • Business Intelligence (BI) knowledge/ ...

pipelines. Experience working with cloud data platforms (AWS preferred). Exposure to data warehousing, data lakes and modern data architecture. Python experience (including PySpark) is beneficial but not essential. Exposure to BI platforms such as Power BI, Tableau or QuickSight, with an understanding of how backend data models support ...

platforms (AWS preferred). Exposure to data warehousing, data lakes and modern data architecture. Understanding of workflow orchestration and automation tools. Python experience (including PySpark) is beneficial but not essential. Exposure to BI platforms such as Power BI, Tableau or QuickSight, with an understanding of how backend data models ...

Complexity.* Strive for excellence and continuous improvement in software architecture, software delivery and best practices.* Hands on experience in C#, OOP python, Spark/PySpark and other C#, Python framework ecosystem.* Debug and resolve issues in large datasets quickly.* Co-ordinating handoffs between different time zones and allocating priorities ...

Data Engineering Foundation: Practical experience with data modelling, ETL/ELT, and various database technologies. Technical Versatility: Fluency in data processing languages (Python, SQL, PySpark) and openness to tech stacks such as SSIS, Airflow, Spark, Databricks, Fabric. Cloud Capability: Experience with at least one major cloud provider (AWS, Azure ...

Data Platforms: Hands-on experience with Databricks and Azure Data Lake . ETL: Proven ability to build efficient pipelines (ADF, SSIS, APIs). Desirable: PySpark, Dimensional Modelling, DAX/SSAS, or an interest in AI/ML applications. Interested in learning more? Send me a DM or comment below ...