1 to 25 of 52 Remote/Hybrid PySpark Jobs in the UK

tooling Key skills Strong experience with Microsoft Fabric (Data Factory, Lakehouse, OneLake, Pipelines, SQL Warehouse) Solid data engineering background using SQL, Python, PySpark, Delta Lake E xperience building and optimising end-to-end data pipelines CI/CD experience for analytics and data platforms (Azure DevOps or GitHub) Exposure ...

working with flexibility and autonomy Key Experience Deep end-to-end experience delivering enterprise Databricks analytics solutions Expertise in Lakehouse Architecture, Delta Lake, Spark, PySpark Strong data modelling skills (3NF, Kimball, Data Vault) Experience exposing Delta Lakehouse to Power BI or Tableau Skilled in Python, Scala ...

data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as Tableau or Power BI. Confident writing efficient code and troubleshooting sophisticated queries. Clear ...

pipelines and working with lakehouse architectures Knowledge of tools such as Azure Data Factory and/or Fabric Data Pipelines Experience with Python or PySpark for data transformation Understanding of data modelling (dimensional modelling, medallion architecture) Strong communication skills and ability to work with non-technical stakeholders Desirable: Experience ...

automation and optimization of data workflows Requirements: Experience in data engineering and pipeline development Strong expertise in Azure (Synapse, Data Lake) Proficiency in Python, PySpark, and T-SQL Knowledge of data warehousing, CDC, and incremental processing Familiarity with modern data architectures (e.g., medallion) Preferred Experience with Azure DevOps/ ...

optimization of data workflows Requirements: Experience in data engineering and pipeline development Strong expertise in Azure (Synapse, Data Lake) Proficiency xehkeey in Python, PySpark, and T-SQL Knowledge of data warehousing, CDC, and incremental processing Familiarity with modern data architectures (e.g., medallion) Preferred Experience with Azure DevOps/ ...

data pipelines using Databricks and Apache Spark Build and optimize data workflows for batch and real-time processing Transform and process large datasets using PySpark, SQL, and Delta Lake Implement data ingestion from multiple sources (APIs, streaming, databases) Your Skills: Python proficiency DBT AWS : Cloud formation , Service Catalog ...

backgrounds. The technology stack is flexible, but experience in some of the following are nice to have: Data Engineering & Programming: • Python • SQL • Spark/PySpark • Scala • Data modelling and warehousing concepts Cloud & Platforms: • AWS (S3, Redshift, Glue, EMR, Lambda) • Other cloud platforms (Azure/GCP considered) • Data lake ...

modern data platform development. Deep hands-on experience with Microsoft Fabric, including Lakehouse, Data Warehouse, OneLake, Pipelines and Data Factory. Strong SQL, Spark/PySpark and data modelling capability across analytical and operational datasets. Proven experience delivering complex end-to-end data platforms in Azure or Fabric environments. Strong ...

agile environment What we need Strong experience as a Data Engineer in Azure environments Strong hands-on experience with: Azure Data Factory Databricks/PySpark SQL Server/T-SQL Experience building production-grade data pipelines and data models Exposure to identity/access/security data Understanding ...

Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure/AWS Data Engineering certifications Databricks certifications What ...

Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure/AWS Data Engineering certifications Databricks certifications What ...

Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure/AWS Data Engineering certifications Databricks certifications What ...

within financial services environments You have expertise with GCP including BigQuery, Pub/Sub, Cloud Composer and IAM You have strong Python, SQL and PySpark skills You have experience with real-time data streaming using Kafka or Spark You have a good knowledge of Data Lakes, Data Warehousing, Data ...

Customer Experience, Finance and Operations can trust. Responsibilities Build, optimise and operate ELT/ETL pipelines into our data platform using SQL and Python (PySpark), with a focus on reliability, performance and maintainability. Develop and maintain core data models (curated layers, dimensional models, shared definitions) that enable consistent ...

specifically on Azure, Databricks, and modern cloud data engineering . You will ideally bring: • Strong hands on Azure data engineering experience • Expertise across Databricks, PySpark, Azure Data Factory, Synapse, and Fabric • A strong background in ETL/ELT, lakehouse, and data warehousing environments • Experience with CI/CD, Azure ...

Lloyd's of London or London Market insurance sector Deep understanding of Delta Lake, Medallion architecture, Lakehouse patterns and data modelling. Strong Python, PySpark and Spark SQL capability Solid understanding of data governance Proven track record of ownership, delivery and operating effectively in fast-paced environments. What ...

Data Warehouse capabilities. Design, manage, and optimise data storage within OneLake , ensuring well-governed, well-structured, and shareable data assets. Develop scalable Spark (PySpark/Spark SQL) data transformations through Fabric notebooks to support high-volume processing. Create, orchestrate, and monitor robust data ingestion and transformation pipelines using Fabric ...

looking for: 2-5 years of data experience would be ideal Azure technologies e.g. Databricks, ADF, Azure Data or Delta Lake (essential) SparkSQL and PySpark Strong communications skills - able to speak with a wide range of stakeholders Data warehousing, ETL/ELT and data integration experience Experience of Azure ...

production. Key skills and experience: Strong experience as a Data Engineer Advanced Python and SQL skills Experience with cloud platforms (AWS preferred) Proficiency in PySpark and/or Pandas Familiarity with data quality tools (e.g., Great Expectations) Experience with infrastructure as code (Terraform or CloudFormation) Understanding of modern development ...

data modelling for Finance and Enterprise data products, working closely with architecture where required. Implement and maintain data pipelines and ETL workflows in Databricks (PySpark, Delta Lake). Contribute to CI/CD pipelines for data applications using Azure DevOps and infrastructure-as-code (Terraform) in line with established … influence within the team and communicate clearly with technical and non-technical stakeholders. Data Engineer (New Technology/Microsoft) Strong experience with Databricks (Spark, PySpark, Delta Lake, and Unity Catalog advantageous). Proficiency in Azure data services (Azure Data Factory, Data Lake, Azure Functions advantageous). Experience contributing ...

RBAC and governance controls across Azure services Tech stack Azure Azure Databricks Terraform Azure DevOps/CI/CD Python SQL Apache Spark/PySpark Entra ID/RBAC/governance Networking/platform security/automation What were looking for Strong experience in Azure platform engineering Strong hands ...

will have the following skills and experience: Deep expertise with Azure Databricks, including development, deployment, and platform-level engineering. Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory. Solid understanding of DevOps practices including CI/CD and automated testing. Experience with monitoring, logging, and alerting ...

will have the following skills and experience: Deep expertise with Azure Databricks, including development, deployment, and platform-level engineering. Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory. Solid understanding of DevOps practices including CI/CD and automated testing. Experience with monitoring, logging, and alerting ...

will have the following skills and experience: Deep expertise with Azure Databricks, including development, deployment, and platform-level engineering. Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory. Solid understanding of DevOps practices including CI/CD and automated testing. Experience with monitoring, logging, and alerting ...