276 to 300 of 3,478 Remote/Hybrid SQL Jobs

escalate risk across your area of responsibility What you will need Strong expertise across data engineering tooling and platforms: pipelines, cloud data services, SQL and Python, with machine learning pipelines and AI driven analytics, built for reliability and scale A solid grounding in data governance, data quality, security and lineage … solutions for regulatory reporting, management information and operational resilience Demonstrable success building and maintaining pipelines and platforms in demanding, complex business environments Fluency in SQL, Python and modern data engineering methods at enterprise level Time served supporting reporting, analytics, management information or operational data services Comfort working to defined data ...

design and implementation of cloud data platforms and data products. Develop scalable ETL/ELT pipelines and analytics solutions. Deliver solutions using Python, SQL, dbt and cloud-native services. Establish engineering standards, best practices and reusable frameworks. Ensure scalability, performance, security and operational excellence. Data Architecture Define enterprise data architectures … compliance with security and governance standards. Required Skills & Experience Technical Skills Strong experience with GCP or equivalent cloud data platforms. Advanced expertise in: Python SQL dbt Cloud-native data engineering services Experience delivering enterprise-scale ETL/ELT solutions and data products. Strong knowledge of data modelling, data quality ...

commerce and/or financial services business Ability to use Docker and container orchestration tools AWS cloud infrastructure including AWS CDK MS SQL No SQL database such as Mongo AI Tools such as CoPilot, Snowflake Cortex About AJ Bell AJ Bell is one of the UK’s fastest‐growing investment ...

team What we need from you Experience working with Qlik Talend or comparable ETL tools, such as Azure Data Factory, AWS Data Pipeline, or SQL Server Integration Services (SSIS). Familiarity with GitHub, Jira, and SQL would be advantageous. Management experience Excellent written and verbal communication skills Great attention ...

services. Strong understanding of authentication and access management technologies including OAuth & OIDC. Experience working with analytical platforms and data‐intensive workloads. Working knowledge of SQL and Python. Exposure w/t owards ma... Security & Governance Demonstrable experience designing secure and compliant cloud solutions. Strong understanding of governance, risk and compliance … Environment The role sits within the engineering team supporting the organisation's GCP Analytics platform. Current technologies include: Google Cloud Platform (GCP) Terraform Python SQL BigQuery Power BI CI/CD and DevOps tooling Modern cloud‐native data integration technologies The platform provides secure, self‐service analytics environments that enable ...

commerce and/or financial services business Ability to use Docker and container orchestration tools AWS cloud infrastructure including AWS CDK MS SQL No SQL database such as Mongo AI Tools such as CoPilot, Snowflake Cortex About our client We believe investing should feel good. Whether you're looking ...

maintaining complex data engineering pipelines, backend services, and APIs to ensure scalability, reliability, and high performance Support the thorough review of Python and SQL code via Git, promoting code quality, security, and adherence to engineering standards Support cloud-based deployments and infrastructure (e.g. Azure, GCP), leveraging Linux scripting and advanced … Docker skills including storage, volumes, and permissions Develop and implement database solutions using SQL and Cloud platforms, with a focus on optimising performance and data integrity Mentor and guide junior engineers, facilitating knowledge sharing and the adoption of best engineering practices Troubleshoot and enhance existing systems, applying advanced problem-solving ...

sometimes ambiguous questions into well‐defined analytical problems. Develop and implement data‐driven solutions to solve real‐world business problems across the company. Use SQL, Python and other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods … Strong proficiency in Python for data manipulation, analysis, visualisation and data science (e.g., Pandas, NumPy, Scikit-learn). Proficiency in data querying languages (e.g., SQL). Solid understanding of software engineering best practices (version control, unit testing, code review, etc.). Strong experience with data visualisation frameworks (e.g., PowerBI, Streamlit ...

sometimes ambiguous questions into well‐defined analytical problems. Develop and implement data‐driven solutions to solve real‐world business problems across the company. Use SQL, Python and other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods … Strong proficiency in Python for data manipulation, analysis, visualisation and data science (e.g., Pandas, NumPy, Scikit-learn). Proficiency in data querying languages (e.g., SQL). Solid understanding of software engineering best practices (version control, unit testing, code review, etc.). Strong experience with data visualisation frameworks (e.g., PowerBI, Streamlit ...

sometimes ambiguous questions into well‐defined analytical problems. Develop and implement data‐driven solutions to solve real‐world business problems across the company. Use SQL, Python and other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods … Strong proficiency in Python for data manipulation, analysis, visualisation and data science (e.g., Pandas, NumPy, Scikit-learn). Proficiency in data querying languages (e.g., SQL). Solid understanding of software engineering best practices (version control, unit testing, code review, etc.). Strong experience with data visualisation frameworks (e.g., PowerBI, Streamlit ...

requirements and mapping data to support migration from Strategic Insights team and existing dataflows. Provide technical expertise on Microsoft Fabric, Power BI, Oracle and SQL development for the force - supporting colleagues in the delivery of their work and managing the technical requirements of development work. Define and maintain the architectural … Power BI/Microsoft Analytics solutions, with a good grounding in all associated areas including governance. Experience in building dataflows and semantic models, using SQL, DAX, Power BI, or other visualization tools. Experience in gathering BI requirements, data mapping and understanding business processes at different levels. Experience of establishing ...

20+ marketing platforms. Build and optimize schemas, transformations, and ETL logic for high-performance, reusable data workflows. Contribute directly to the DFP codebase (Python, SQL, Spark) — developing pipelines and infrastructure alongside the engineering team. Establish data versioning, testing, and governance frameworks ensuring reliability, lineage, and compliance. Data Engineering Leadership Drive … pipelines. Qualifications Hands‐on experience as a Data Engineer or Data Platform Developer, including direct contributions to production codebases. Expert‐level proficiency in Python, SQL, and Apache Spark for data pipeline development. Proven experience building ELT workflows using Fivetran, Airflow, DBT, or Databricks. Solid understanding of data modeling, dimensional design ...

datasets across 20+ marketing platforms.Build and optimize schemas, transformations, and ETL logic for high-performance, reusable data workflows.Contribute directly to the DFP codebase (Python, SQL, Spark) — developing pipelines and infrastructure alongside the engineering team.Establish data versioning, testing, and governance frameworks ensuring reliability, lineage, and compliance.Data Engineering LeadershipDrive best practices … reproducibility across all pipelines.QualificationsHands-on experience as a Data Engineer or Data Platform Developer, including direct contributions to production codebases.Expert-level proficiency in Python, SQL, and Apache Spark for data pipeline development.Proven experience building ELT workflows using Fivetran, Airflow, DBT, or Databricks.Solid understanding of data modeling, dimensional design, and schema ...

20+ marketing platforms. Build and optimize schemas, transformations, and ETL logic for high-performance, reusable data workflows. Contribute directly to the DFP codebase (Python, SQL, Spark) — developing pipelines and infrastructure alongside the engineering team. Establish data versioning, testing, and governance frameworks ensuring reliability, lineage, and compliance. Data Engineering LeadershipDrive best … pipelines. QualificationsHands-on experience as a Data Engineer or Data Platform Developer, including direct contributions to production codebases. Expert-level proficiency in Python, SQL, and Apache Spark for data pipeline development. Proven experience building ELT workflows using Fivetran, Airflow, DBT, or Databricks. Solid understanding of data modeling, dimensional design ...

analytical support to sales leadership while maintaining compensation systems and contributing to planning initiatives under senior guidance. Hands on experience working with Xactly and SQL is critical. This role serves as an excellent entry point into sales operations and compensation management, offering: Hands-on experience with compensation systems and sales … accuracy and efficiency Ability to work independently while supporting team objectives Technical Skills Knowledge of Xactly or equivalent compensation software is essential and SQL experience highly desirable Experience with CRM systems (Salesforce) and data extraction Strong Excel skills including formulas, pivot tables, and data analysis Basic knowledge of business intelligence ...

documentation and continuous improvement Required experience * Strong experience delivering production grade Databricks pipelines * Strong Spark, Delta Lake and Databricks Workflows experience * Python and SQL proficiency * Experience on Azure data platforms such as Azure Data Factory, ADLS Gen2, Azure DevOps, or equivalent on AWS or GCP * Understanding of data modelling ...

using Databricks as a core platform. Hands-on expertise in Delta Lake, Delta Live Tables and Databricks Workflows. Strong coding skills in Python and SQL, with experience in developing modular, reusable code in Databricks. Deep understanding of lakehouse architecture, with a solid grasp of data warehousing, data lakes, and real ...

practices, mentoring engineering teams in advanced data and AI engineeringMinimum 8+ years working in data engineering, with proven architecture and leadership experienceAdvanced proficiency in SQL for performance tuning at large scaleStrong programming skills in Python, with applied experience in data engineering workflowsExpertise in PySpark for distributed data processingHands-on experience ...

experience as a Data Engineer, working with Azure data services. Strong understanding of data modeling concepts and relational and non-relational databases. Proficiency in SQL and experience with data integration and ETL tools (e.g., Azure Data Factory, Azure Databricks). Experience with data warehousing concepts and technologies (e.g., Azure Synapse ...

analytics, reporting or data product delivery within complex enterprise environments. Proven track record delivering data transformation, analytics modernisation or cloud data platform programmes. Strong SQL and Python skills with advanced analytical capabilities. Experience working with modern data platforms such as Databricks, Snowflake, Microsoft Fabric or similar technologies. Strong understanding ...

analytics, reporting or data product delivery within complex enterprise environments. Proven track record delivering data transformation, analytics modernisation or cloud data platform programmes. Strong SQL and Python skills with advanced analytical capabilities. Experience working with modern data platforms such as Databricks, Snowflake, Microsoft Fabric or similar technologies. Strong understanding ...

similar subject, with a strong foundation in core database systems and data structures. Proficiency in Databricks and big data coding languages, including SQL, Python and Scala. Experience designing and deploying ETL/ELT pipelines using Azure Data Factory, Azure Synapse Analytics or equivalent tools in AWS/GCP. Strong engineering ...

Python, Data Modelling, Data Warehousing. Strong background in incident resolution, requests, changes and problem-solving within SLAs. Hands-on experience with Spark, Data Architecture, SQL and Delta Lake. Cloud development experience (AWS, GCP or Azure). Working knowledge of Medallion Architecture. Demonstrated capability in implementing and supporting pipelines in demanding ...

Engineering & DeliveryLead the design and implementation of cloud data platforms and data products.Develop scalable ETL/ELT pipelines and analytics solutions.Deliver solutions using Python, SQL, dbt and cloud-native services.Establish engineering standards, best practices and reusable frameworks.Ensure scalability, performance, security and operational excellence.Data ArchitectureDefine enterprise data architectures aligned to business ...

design and implementation of cloud data platforms and data products. Develop scalable ETL/ELT pipelines and analytics solutions. Deliver solutions using Python, SQL, dbt and cloud-native services. Establish engineering standards, best practices and reusable frameworks. Ensure scalability, performance, security and operational excellence. Data ArchitectureDefine enterprise data architectures aligned ...