1 to 25 of 77 PySpark Jobs in England

tools (e.g. Power BI) Deep understanding of data warehousing 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 ...

/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 ...

. Strong background in ETL/ELT , data warehousing concepts, dimensional modelling and modern data architecture patterns. Hands-on skills across T-SQL , Python , PySpark , and developing robust data processing solutions. Experience optimising performance across databases, transformation workloads and distributed data platforms. Familiarity with CI/CD , Azure DevOps ...

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 ...

environments. Strong hands-on expertise in Python Proven experience with Databricks, including notebooks, workflows, jobs and Delta Lake Strong knowledge of Apache Spark/PySpark Experience designing and delivering large-scale ETL/ELT pipelines Advanced SQL skills and experience with relational databases Experience working with cloud technologies such ...

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 ...

architects. Together, you will design and build modern machine learning and AI services that support analytics and improve products across the business. Experience with PySpark, Python, SQL and Databricks (or Snowflake) is required for these roles. Its a chance to work on a very modern tech stack and learn ...

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 ...

assurance processes Excellent problem-solving skills with the ability to diagnose and resolve complex data issues Strong communication and stakeholder management experience Desirable Experience PySpark and/or Python development Azure Data Factory (ADF) Azure Synapse Analytics Azure Data Lake Storage Power BI development and data modelling Exposure ...

contribute to long-term platform innovation Required Experience Strong experience designing enterprise data platforms within Microsoft Azure environments Deep expertise with Azure Databricks, Spark (PySpark/Scala), Delta Lake, and Lakehouse architecture Strong hands-on experience with Snowflake architecture and optimisation Experience with Azure Data Factory, ADLS Gen2, Synapse ...

teams, with the ability to deliver incremental data modelling solutions in collaboration with engineering teams. Technical Environment (Desirable) Microsoft Fabric Azure Data Factory Python PySpark Apache Spark Desirable Skills Azure DevOps Contract Details Sector: Banking/Financial Services Location: London – Office based 4 days per week Contract Type ...

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 ...

including: CloudWatch, IAM, S3, Glue, ECR, EC2, EMR, DynamoDB, Lake Formation Experience with Infrastructure as Code (Terraform) Proficiency in Python, SQL, and familiarity with PySpark Experience with Apache Spark and data processing frameworks Hands-on experience with Apache Airflow for workflow orchestration Experience using Jupyter Notebooks and/ ...

hands-on experience with modern cloud data platforms (e.g. Databricks or Snowflake), ideally within AWS environments. Advanced programming and data engineering skills in Python, PySpark and SQL, with a solid understanding of ETL pipelines and data transformation. Proven experience in data modelling (end-to-end), including performance optimisation using ...

years of proven experience delivering robust data engineering solutions. The Fabric Ecosystem: Demonstrable, hands-on expertise with Microsoft Fabric , SQL , and Python/PySpark Notebooks . Core Competencies: Proven skill in dimensional modeling, data governance, and data extraction from online platforms via SaaS and APIs. Analytical Mindset: Excellent ability ...

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 ...

emerging data technologies Cloud experience across Azure, AWS or similar. The client is technology agnostic and values transferable skills over specific stack experience Python, PySpark or equivalent modern data engineering tooling Comfortable working at pace in a collaborative, fast-moving environment If you are an experienced Data Engineer with ...

wider data community Promote high coding and data practice standards Experiment with emerging data, ML and AI technologies What you'll need: Strong Python, PySpark, SQL and Databricks or Snowflake experience AWS cloud data engineering expertise Experience building scalable batch and real-time data pipelines Airflow, CI/ ...

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 ...

Advanced SQL/T-SQL development skills Experience designing and implementing data models for reporting and analytical requirements Experience using Python and/or PySpark, particularly within Fabric Notebooks Exposure to Azure data technologies such as Azure Data Factory, Synapse Analytics or Data Lake What's on Offer Salary ...

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 ...

design decisions. Required Skills & Experience Strong analytical skills with experience working with large-scale and unstructured datasets. Python development experience, including technologies such as PySpark, Pandas and PyArrow. Expertise in distributed data processing frameworks, particularly Apache Spark. Experience building and maintaining ETL pipelines using technologies such as Apache Airflow ...

looking for: Strong background in data engineering and software development Proven experience working with Databricks (essential) Hands-on expertise with tools such as Python, PySpark, Spark, and SQL Experience building and maintaining data pipelines and data platforms Solid understanding of data modelling and data architecture principles Experience working with ...

data engineering tools, programming languages, and database technologies. Experience in performance tuning and optimisation. Programming and scripting for data processing (Spark, Spark SQL, Python, pyspark). Data modelling and architecture (in Azure Databricks). Understanding of data governance, security, and data quality management principles. Ability to design scalable ...

customers’ pain points and explain important areas for business value to develop a trusted advisor skillset. Code in a core programming language such as PySpark, Python, Java, or Scala. Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs‐of‐concept and an understanding ...