1 to 25 of 54 Permanent Spark SQL Jobs in the UK

with a target delivery date of the end of December. The successful consultant will be responsible for migrating an existing Azure Synapse Dedicated SQL Pool codebase into Databricks, ensuring the migrated solution delivers equivalent or improved performance, maintains data accuracy and supports ongoing business consumption. We are specifically … skills, including complex stored procedures, transformations and query optimisation. Deep understanding of MPP architecture, distributed tables, execution plans and performance tuning. Databricks & Apache Spark Extensive commercial experience with Azure Databricks, Spark SQL, Databricks SQL and PySpark. Strong understanding of Apache Spark ...

including machine learning and their application in financial services. Proficiency in data tools, programming languages, and database technologies, in particular in Azure Databricks, Spark, Spark SQL and Python/pyspark. Understanding of data governance, security, and data quality management principles. Experience working with large … producing audit evidence Essential Skills: Data pipeline development and optimisation Data modelling and architecture (in Azure Databricks) Programming and scripting for data processing (Spark, Spark SQL, Python, pyspark) Data science and machine learning Data governance and quality assurance Problem-solving and analytical thinkingStakeholder engagement ...

including machine learning and their application in financial services.* Proficiency in data tools, programming languages, and database technologies, in particular in Azure Databricks, Spark, Spark SQL and Python/pyspark.* Understanding of data governance, security, and data quality management principles.* Experience working with large … producing audit evidence**Essential Skills:*** Data pipeline development and optimisation* Data modelling and architecture (in Azure Databricks)* Programming and scripting for data processing (Spark, Spark SQL, Python, pyspark)* Data science and machine learning* Data governance and quality assurance* Problem-solving and analytical thinking* Stakeholder ...

industries.ResponsibilitiesImplement end-to-end Microsoft Fabric solutions based on approved architecture, including OneLake, Lakehouse, Warehouse, Data Factory pipelines, Dataflows Gen2, Notebooks (PySpark/Spark SQL) and Real-Time IntelligenceBuild medallion architectures (Bronze/Silver/Gold), including incremental loads, change data capture, slowly changing dimensions … error handlingSet up ingestion from diverse sources (SQL databases, APIs, files, SaaS applications, SAP, streaming sources) using pipelines, shortcuts and mirroringWrite clean, reusable and tested code in PySpark, Spark SQL, T-SQL and KQL, optimizing Delta tablesAdd data quality checks, validation rules ...

using Microsoft Fabric • Build scalable data pipelines using Dataflow Gen2 and Fabric Notebooks • Develop and maintain Lakehouse solutions using Medallion architecture • Work with SQL, Python, Spark SQL and Delta Lake • Integrate data from APIs, databases, CRM, ERP and third party platforms • Support both batch … wider business stakeholders Essential experience • Strong commercial experience with Microsoft Fabric • Hands on experience with Dataflow Gen2, Fabric Notebooks and Lakehouse architecture • Strong SQL and Python skills • Experience with Spark and Spark SQL • Proven experience designing scalable ETL and ELT pipelines • Data ...

using Microsoft Fabric • Build scalable data pipelines using Dataflow Gen2 and Fabric Notebooks • Develop and maintain Lakehouse solutions using Medallion architecture • Work with SQL, Python, Spark SQL and Delta Lake • Integrate data from APIs, databases, CRM, ERP and third party platforms • Support both batch … wider business stakeholders Essential experience • Strong commercial experience with Microsoft Fabric • Hands on experience with Dataflow Gen2, Fabric Notebooks and Lakehouse architecture • Strong SQL and Python skills • Experience with Spark and Spark SQL • Proven experience designing scalable ETL and ELT pipelines • Data ...

Purview, Apache Atlas, Amundsen, DataHub or similar). Proven ability to build lineage for complex platforms: data lakes, warehouses, marts, and distributed processing (Spark‐based pipelines). Strong proficiency in SQL for tracing transformations and validating mappings across layers. Working knowledge of ETL/ELT patterns … data modeling (dimensional + normalized), and batch scheduling dependencies. Ability to interpret data transformation logic from pipelines (Spark SQL/PySpark/Hive queries/orchestration configs). Strong documentation capability: source‐to‐target mappings, lineage diagrams, data dictionaries, metadata standards, and control evidence packs. Technical ...

reporting, analytics, and operational decision-making across the project programme. Working within a multidisciplinary Data & Analytics team, the successful candidate will use Databricks, SQL, Python, and Microsoft technologies to deliver robust, scalable, and maintainable data solutions. They will collaborate closely with Data Architects and Performance Analysts to transform … business intelligence solutions. Strong proven commercial experience with Databricks. Strong experience developing ETL/ELT pipelines and data integration solutions. Experience using Apache Spark, PySpark, and Spark SQL. Strong SQL development and optimisation skills. Experience working with large and complex datasets from multiple source ...

products while ensuring compliance with security, governance, and operational standards. Key Responsibilities: Design, develop, and optimise scalable data pipelines using Azure Databricks, PySpark, Spark SQL, and Delta Lake. Build robust ETL/ELT solutions and data ingestion frameworks supporting batch and streaming workloads. Integrate data from … platform engineering activities, including CI/CD implementation, environment promotion, performance optimisation, and operational support. Skills we can’t do without: Azure Databricks, Apache Spark, PySpark, and Spark SQL expertise. Experience building enterprise-scale ETL/ELT pipelines within Azure environments. Strong Python ...

products while ensuring compliance with security, governance, and operational standards. Key Responsibilities: Design, develop, and optimise scalable data pipelines using Azure Databricks, PySpark, Spark SQL, and Delta Lake. Build robust ETL/ELT solutions and data ingestion frameworks supporting batch and streaming workloads. Integrate data from … platform engineering activities, including CI/CD implementation, environment promotion, performance optimisation, and operational support. Skills we can’t do without: Azure Databricks, Apache Spark, PySpark, and Spark SQL expertise. Experience building enterprise-scale ETL/ELT pipelines within Azure environments. Strong Python ...

scalable Data Engineering solutions. Experience of core MS Fabric features including: OneLake, Lakehouses, Warehouses, Data Pipelines, Dataflows, Gen2, Notebooks, Eventstreams + Eventhouses. Using SQL, T-SQL, Spark SQL, PySpark + Python for data ingestion, data transformation, data optimisation, data modelling, and converting ...

scalable Data Engineering solutions. Experience of core MS Fabric features including: OneLake, Lakehouses, Warehouses, Data Pipelines, Dataflows, Gen2, Notebooks, Eventstreams + Eventhouses. Using SQL, T-SQL, Spark SQL, PySpark + Python for data ingestion, data transformation, data optimisation, data modelling, and converting ...

hands-on architecture role combining technical leadership, solution design, stakeholder engagement, and delivery oversight. Essential Technical Skills Data Integration & Development Python PySpark SQL and T-SQL Spark SQL XML XSD (XML Schema Definition) XPath XSLT JSON REST APIs Data warehousing methodologies Master … Strong stakeholder engagement and consultancy experience. Candidate Profile Summary The ideal candidate will possess deep expertise in Azure Data Factory, Azure Databricks, PySpark, SQL, XML, XSD, XPath and XSLT, with a proven track record of architecting and delivering enterprise-scale ETL/ELT solutions across hybrid and cloud ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

layers of the medallion architecture. Onboard new source systems by setting up the team’s reusable ingestion patterns (Fabric mirroring from Snowflake and SQL Server, change data capture, file and API loads). Do this through configuration rather than one-off code. Write and tune PySpark … SQL for Lakehouse and Warehouse workloads, including fact and dimension models in the enterprise data warehouse. Implement data quality rules and validation pipelines, and help investigate and fix data issues found by DQ checks and reconciliations. Work through the team’s engineering workflow: Git-based development in Azure ...

claims, exposure, reinsurance and finance. Design gold‐layer (consumption) models and, where Power BI is the consumption layer, semantic models served from Databricks SQL and shaped for efficient reporting and self‐service analytics. Select and design for the right storage and exchange formats for each workload, including … Parquet, CSV, Excel, XML, JSON, Protobuf). Optimise platform performance and cost, including partitioning vs. liquid clustering, file sizing, Photon, and cluster and SQL warehouse sizing. Manage the model lifecycle: optimise and update models for new and existing client projects, reverse engineer physical models from existing databases ...

driven culture within the organisation, mentoring team members, and contributing to the continuous improvement of the Engineering Practice You Will Demonstrate: Proficiency in SQL and Python: You are highly proficient in SQL and Python, enabling you to handle complex data problems with ease. Understanding of Data … Lakehouse Architecture: You have a strong grasp of the principles and implementation of Data Lakehouse architecture. Hands-On Experience with Spark-Based Solutions: You possess experience with Spark-based platforms like Azure Synapse, Databricks, Microsoft Fabric, or even on-premise Spark clusters, using PySpark ...

data-driven culturewithin the organisation, mentoring team members, and contributing to the continuous improvement of the Engineering Practice You Will Demonstrate: Proficiencyin SQL and Python:You are highly proficient in SQL and Python, enabling you to handle complex data problems with ease. Understanding of Data Lakehouse … Architecture:You have a strong grasp of the principles and implementation of Data Lakehouse architecture. Hands-On Experience with Spark-Based Solutions:Youpossessexperience with Spark-based platforms like Azure Synapse, Databricks, Microsoft Fabric, or evenon-premiseSpark clusters, usingPySparkor Spark SQL to manage ...

data-driven culturewithin the organisation, mentoring team members, and contributing to the continuous improvement of the Engineering Practice You Will Demonstrate: Proficiencyin SQL and Python:You are highly proficient in SQL and Python, enabling you to handle complex data problems with ease. Understanding of Data Lakehouse … Architecture:You have a strong grasp of the principles and implementation of Data Lakehouse architecture. Hands-On Experience with Spark-Based Solutions:Youpossessexperience with Spark-based platforms like Azure Synapse, Databricks, Microsoft Fabric, or evenon-premiseSpark clusters, usingPySparkor Spark SQL to manage ...

3+ years with strong Foundry depth). Proven, hands-on experience working with Palantir Foundry in a production environment. Strong proficiency in Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema ...

lakehouses and 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 sources. Migration and modernisation of legacy platforms such as Oracle, SQL Server/SSIS or Synapse. Power BI semantic models, curated datasets and supporting analytics platforms. Data quality, governance, metadata management and lineage. Data security, classification and access control approaches. Automated testing, validation ...

3+ years with strong Foundry depth). Proven, hands‐on experience working with Palantir Foundry in a production environment. Strong proficiency in Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema ...