19 of 19 Remote/Hybrid Spark SQL Jobs in the UK excluding London

more of: GCP, Azure, AWS. An intermediate or better level coding in one or more mainstream coding languages (i.e., Python, SQL, Java, Scala, and R), and critically review the code of other data engineers. Develop code for a range of data products including data matching, rule development, scans … date with these. Typical Data Engineering Experience required (5+ yrs): Knowledge and experience of Azure/AWS Cloud data solution provision. Proficient in SQL . Ability to develop and deliver complex visualisation, reporting and dashboard solutions using tools like Power BI . Enterprise-scale experience with ETL tools ...

more of: GCP, Azure, AWS. An intermediate or better level coding in one or more mainstream coding languages (i.e., Python, SQL, Java, Scala, and R), and critically review the code of other data engineers. Develop code for a range of data products including data matching, rule development, scans … date with these. Typical Data Engineering Experience required (5+ yrs): Knowledge and experience of Azure/AWS Cloud data solution provision. Proficient in SQL . Ability to develop and deliver complex visualisation, reporting and dashboard solutions using tools like Power BI . Enterprise-scale experience with ETL tools ...

into data pipelines and services. Conduct bespoke, high-complexity analysis in support of customer-facing or operational needs. Guide team best practices in Spark SQL usage, data documentation, and exploratory reproducibility. Desired Qualifications: 5+ years of experience in data science, applied analytics, machine learning, or analytical … D. Advanced expertise in Python and distributed compute frameworks (e.g., Spark, Databricks), including strong proficiency in Spark SQL . Strong background in statistical inference, anomaly detection, clustering, interaction modeling , or other analytical methods suited to large and heterogeneous datasets. Experience working with multi-source ...

into data pipelines and services. Conduct bespoke, high-complexity analysis in support of customer-facing or operational needs. Guide team best practices in Spark SQL usage, data documentation, and exploratory reproducibility. Desired Qualifications: 5+ years of experience in data science, applied analytics, machine learning, or analytical … D. Advanced expertise in Python and distributed compute frameworks (e.g., Spark, Databricks), including strong proficiency in Spark SQL . Strong background in statistical inference, anomaly detection, clustering, interaction modeling , or other analytical methods suited to large and heterogeneous datasets. Experience working with multi-source ...

into data pipelines and services. Conduct bespoke, high-complexity analysis in support of customer-facing or operational needs. Guide team best practices in Spark SQL usage, data documentation, and exploratory reproducibility. Desired Qualifications: 5+ years of experience in data science, applied analytics, machine learning, or analytical … D. Advanced expertise in Python and distributed compute frameworks (e.g., Spark, Databricks), including strong proficiency in Spark SQL . Strong background in statistical inference, anomaly detection, clustering, interaction modeling , or other analytical methods suited to large and heterogeneous datasets. Experience working with multi-source ...

into data pipelines and services. Conduct bespoke, high-complexity analysis in support of customer-facing or operational needs. Guide team best practices in Spark SQL usage, data documentation, and exploratory reproducibility. Desired Qualifications: 5+ years of experience in data science, applied analytics, machine learning, or analytical … D. Advanced expertise in Python and distributed compute frameworks (e.g., Spark, Databricks), including strong proficiency in Spark SQL . Strong background in statistical inference, anomaly detection, clustering, interaction modeling , or other analytical methods suited to large and heterogeneous datasets. Experience working with multi-source ...

into data pipelines and services. Conduct bespoke, high-complexity analysis in support of customer-facing or operational needs. Guide team best practices in Spark SQL usage, data documentation, and exploratory reproducibility. Desired Qualifications: 5+ years of experience in data science, applied analytics, machine learning, or analytical … D. Advanced expertise in Python and distributed compute frameworks (e.g., Spark, Databricks), including strong proficiency in Spark SQL . Strong background in statistical inference, anomaly detection, clustering, interaction modeling , or other analytical methods suited to large and heterogeneous datasets. Experience working with multi-source ...

technical contributor—helping shape new ways of working, supporting system enhancements, and ensuring Finance is equipped with modern, resilient data capabilities. Role Responsibilities SQL, Data Extraction and Transformation Design, develop, and maintain SQL data structures within Microsoft Fabric, writing efficient SQL queries and Python … reports, dashboards, and visualisations. Troubleshoot database-related issues. Monitor and optimize database performance, identifying and resolving bottlenecks and inefficiencies. Conduct regular reviews of SQL code and queries for performance improvements Ensure data security and integrity. Stay updated with the latest database technologies and best practices. Data Warehouse Implement ...

technical contributor—helping shape new ways of working, supporting system enhancements, and ensuring Finance is equipped with modern, resilient data capabilities. Role Responsibilities SQL, Data Extraction and Transformation Design, develop, and maintain SQL data structures within Microsoft Fabric, writing efficient SQL queries and Python … reports, dashboards, and visualisations. Troubleshoot database-related issues. Monitor and optimize database performance, identifying and resolving bottlenecks and inefficiencies. Conduct regular reviews of SQL code and queries for performance improvements Ensure data security and integrity. Stay updated with the latest database technologies and best practices. Data Warehouse Implement ...

technical contributor—helping shape new ways of working, supporting system enhancements, and ensuring Finance is equipped with modern, resilient data capabilities. Role Responsibilities SQL, Data Extraction and Transformation Design, develop, and maintain SQL data structures within Microsoft Fabric, writing efficient SQL queries and Python … reports, dashboards, and visualisations. Troubleshoot database-related issues. Monitor and optimize database performance, identifying and resolving bottlenecks and inefficiencies. Conduct regular reviews of SQL code and queries for performance improvements Ensure data security and integrity. Stay updated with the latest database technologies and best practices. Data Warehouse Implement ...

technical contributor helping shape new ways of working, supporting system enhancements, and ensuring Finance is equipped with modern, resilient data capabilities. Role Responsibilities SQL, Data Extraction and Transformation Design, develop, and maintain SQL data structures within Microsoft Fabric, writing efficient SQL queries and Python … reports, dashboards, and visualisations. Troubleshoot database-related issues. Monitor and optimize database performance, identifying and resolving bottlenecks and inefficiencies. Conduct regular reviews of SQL code and queries for performance improvements Ensure data security and integrity. Stay updated with the latest database technologies and best practices. Data Warehouse Implement ...

into data pipelines and services. Conduct bespoke, high-complexity analysis in support of customer-facing or operational needs. Guide team best practices in Spark SQL usage, data documentation, and exploratory reproducibility. Desired Qualifications: 5+ years of experience in data science, applied analytics, machine learning, or analytical … D. Advanced expertise in Python and distributed compute frameworks (e.g., Spark, Databricks), including strong proficiency in Spark SQL. Strong background in statistical inference, anomaly detection, clustering, interaction modeling, or other analytical methods suited to large and heterogeneous datasets. Experience working with multi-source, semi-structured, geospatial ...

into data pipelines and services. Conduct bespoke, high-complexity analysis in support of customer-facing or operational needs. Guide team best practices in Spark SQL usage, data documentation, and exploratory reproducibility. Desired Qualifications: 5+ years of experience in data science, applied analytics, machine learning, or analytical … D. Advanced expertise in Python and distributed compute frameworks (e.g., Spark, Databricks), including strong proficiency in Spark SQL. Strong background in statistical inference, anomaly detection, clustering, interaction modeling, or other analytical methods suited to large and heterogeneous datasets. Experience working with multi-source, semi-structured, geospatial ...

into data pipelines and services. Conduct bespoke, high-complexity analysis in support of customer-facing or operational needs. Guide team best practices in Spark SQL usage, data documentation, and exploratory reproducibility. Desired Qualifications: 5+ years of experience in data science, applied analytics, machine learning, or analytical … D. Advanced expertise in Python and distributed compute frameworks (e.g., Spark, Databricks), including strong proficiency in Spark SQL. Strong background in statistical inference, anomaly detection, clustering, interaction modeling, or other analytical methods suited to large and heterogeneous datasets. Experience working with multi-source, semi-structured, geospatial ...

into data pipelines and services. Conduct bespoke, high-complexity analysis in support of customer-facing or operational needs. Guide team best practices in Spark SQL usage, data documentation, and exploratory reproducibility. Desired Qualifications: 5+ years of experience in data science, applied analytics, machine learning, or analytical … D. Advanced expertise in Python and distributed compute frameworks (e.g., Spark, Databricks), including strong proficiency in Spark SQL. Strong background in statistical inference, anomaly detection, clustering, interaction modeling, or other analytical methods suited to large and heterogeneous datasets. Experience working with multi-source, semi-structured, geospatial ...

into data pipelines and services. Conduct bespoke, high-complexity analysis in support of customer-facing or operational needs. Guide team best practices in Spark SQL usage, data documentation, and exploratory reproducibility. Desired Qualifications: 5+ years of experience in data science, applied analytics, machine learning, or analytical … D. Advanced expertise in Python and distributed compute frameworks (e.g., Spark, Databricks), including strong proficiency in Spark SQL. Strong background in statistical inference, anomaly detection, clustering, interaction modeling, or other analytical methods suited to large and heterogeneous datasets. Experience working with multi-source, semi-structured, geospatial ...

support technical decision-making * Troubleshoot complex system and data issues What you'll bring: * Deep experience building production grade data systems * Strong SQL and hands-on experience with modern data tooling and cloud platforms * Ability to work beyond data into backend engineering (APIs, services, system design) * Experience with … someone who combines deep data expertise with broader engineering capability, get in touch with Justin Donaldson for a confidential chat. Skills: dbt spark sql snowflake apache airflow cloud JBLE1 ...

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 … data transformation Proven experience in data modelling (end-to-end), including performance optimisation using tools such as DBT and distributed processing frameworks like SparkSQL Experience with CI/CD, version control (e.g. Git, Jenkins) and pipeline orchestration tools such as Airflow Due to the volume of applications received for positions ...

includes:• Databricks or Snowflake, ideally within AWS• Python, PySpark and SQL• ETL pipelines and data transformation• End-to-end data modelling• DBT, SparkSQL, Airflow, Git, Jenkins or similar tools• Data quality, governance and performance optimisation• Working well with technical and non-technical teamsThe senior role needs someone with ...