276 to 300 of 5,172 Remote/Hybrid SQL Jobs

elements of the end-to-end BI lifecycle. You will: Design and maintain scalable Power BI dashboards, semantic models and datasets. Build and optimise SQL data models supporting analytics, reporting and forecasting. Develop solutions within Microsoft Fabric, including Lakehouse, Warehouse and data pipeline capabilities. Design and maintain … professionals while helping establish technical best practice. Your Skills & Experience You will bring: Strong commercial experience across business intelligence, analytics or BI development. Advanced SQL skills covering complex transformations, dimensional modelling and performance optimisation. Deep hands-on Power BI expertise, including DAX, data modelling, deployment pipelines and optimisation. Experience with ...

fast-growing global organisation is looking for an experienced Senior Data & BI Engineer to play a key role in its transition from a SQL Server-led environment to a modern, scalable data platform built around Azure Databricks and Python. This is not a traditional reporting role - You'll work across … semantic layers and Power BI delivery. You'll have the opportunity to: ·Design and build production-grade pipelines using Azure Databricks, Python, PySpark and SQL ·Develop scalable Lakehouse architecture using Delta Lake and Unity Catalog ·Build data and BI products from scratch and own them through to implementation ·Connect marketing ...

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 data architecture, balancing scalability … 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 pipelines and ETL/ELT solutions. ...

ensure data platforms evolve in line with the organisation’s expanding requirements. You will be working primarily within the Microsoft Azure ecosystem, including Azure SQL Server, Azure Data Factory, and Azure DevOps. Required Skills Strong Python experience for data engineering Strong experience working with SQL Server Strong experience working with … Analysts within the business You will be responsible for the design, build, and maintenance of Python-based ETL pipelines Accounting and leading the SQL development Data lake development within Azure Synapse, working to the organisation’s architecture standards Meeting with business stakeholders to define requirements and translate them into solution ...

continuous improvement across the data community What you’ll have: Essential experience: Strong background in analytics engineering, with experience delivering complex transformations using SQL-first approaches, ideally with dbt Delivery-focused analytics engineering leader who combines technical depth, attention to detail, and people leadership. Proven experience understanding, reviewing, and guiding … implementation of complex data models across staging (Silver) and warehouse/data-mart (Gold) layers Advanced SQL capability, with confidence reviewing, optimising, and assuring the quality of complex transformations Experience working with a modern cloud data warehouse, ideally Snowflake, or alternatives such as BigQuery, Redshift, or Synapse Experience working ...

pipelines and platforms behind analytics, reporting, AI and machine learning Qualifications Ind Standard Skills Strong expertise across data engineering tooling & platforms: pipelines, cloud DS, SQL, Python, machine learning & AI driven analytics Vitality HI - Emp Assistance Prog - Hols =30 days a year + BH - Prof development inc funded quals Additional Benefits … escalation 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 ...

deploy machine learning and statistical models to solve business problems. Analyse large and complex datasets to identify trends, patterns and opportunities. Use Python and SQL to extract, manipulate and analyse data. Perform exploratory data analysis and feature engineering. Build predictive models and evaluate their performance. Work closely with Data Engineers … confidently work with both technical and non-technical stakeholders. You'll ideally have: Strong commercial experience as a Data Scientist. Excellent Python skills. Strong SQL experience. Solid understanding of machine learning and statistical modelling. Experience working with predictive modelling techniques. Strong analytical and problem-solving skills. Experience communicating technical findings ...

wider Microsoft suite Strong analytical and commercial capability with the ability to identify trends, risks, opportunities, and root causes from multiple data sources Strong SQL, Excel, and data handling skills with confidence working across complex datasets, ad hoc business questions, and cloud-based data environments such as Azure, Fabric … similar technologies Strong technical toolkit including Power BI, Microsoft tools, SQL, Azure, Fabric, or similar cloud technologies used to support scalable reporting, insight, and analytics delivery Excellent storytelling, communication, and influencing skills with the ability to translate analysis into clear narratives, recommendations, and action for a range of stakeholders Highly ...

tech for the right task, you can expect to work with the following technologies to ensure scalable, high‐performance applications and reproducible analytical pipelines: SQL Excel Python What you can expect In the UK our healthcare experts work extensively with individual trusts, Integrated Care Systems, NHS England, DHSC and other … values. To use a range of different tools and technologies depending on the specific task, these include: Databricks, Python, PySpark, R, Excel, Palantir Foundry, SQL and PowerBI. Qualifications Even if you don’t meet every requirement below, feel free to still apply as we are often hiring for similar roles ...

agreed service expectations. Identify data quality and timeliness issues, determine root causes, and work with internal teams and external suppliers to resolve them. Use SQL, Python and other data tools to analyse large datasets, investigate data quality issues, automate repeatable tasks and strengthen operational controls. Build and maintain effective relationships … manage a varied workload. Curiosity and willingness to develop expertise in ESG data, sustainable investing and related regulatory requirements. Technical skills Working knowledge of SQL, including querying, joining and validating data to support investigation and control activities. Working knowledge of Python for data analysis, data quality checks and process automation. ...

agreed service expectations. Identify data quality and timeliness issues, determine root causes, and work with internal teams and external suppliers to resolve them. Use SQL, Python and other data tools to analyse large datasets, investigate data quality issues, automate repeatable tasks and strengthen operational controls. Build and maintain effective relationships … manage a varied workload. Curiosity and willingness to develop expertise in ESG data, sustainable investing and related regulatory requirements. Technical skills Working knowledge of SQL, including querying, joining and validating data to support investigation and control activities. Working knowledge of Python for data analysis, data quality checks and process automation. ...

Strong commercial experience designing and building dashboards and reports in Power BI and/or Tableau, including data modelling and DAX or equivalent. Strong SQL and confidence working with complex, imperfect data. Proven ability to translate business requirements into defined metrics, reporting models and clear visual outputs. A strong visual … management skills, including with senior and executive audiences. Comfortable working within a fast-paced, collaborative consultancy environment. Desirable Experience working with Databricks, including Databricks SQL and AI/BI dashboards. A background in management consultancy or a specialist data practice. Experience in public sector, higher education or other regulated environments. ...

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 ...