576 to 600 of 6,339 SQL Jobs in England

more reliable, repeatable and auditable reporting. This is a hands-on role. The successful candidate must have sufficient technical capability to work independently across SQL, reporting, APIs, integrations and automation, whilst collaborating with the wider Data & Analytics team on more complex requirements. Finance will retain ownership of accounting policy, financial … core Finance data into Black Sheep Coffee's central data and reporting environment. Build and maintain reliable Finance reporting tables, data models and controlled SQL-based logic. Reduce reliance on repeated NetSuite exports, large Excel models and manually maintained reporting. Connect financial and operational data across stores, suppliers, inventory, payments ...

engineering community grow. Technology stack Snowflake – ELT pipeline development – Agile and DevOps Coalesce – Data modelling and data marts – CI/CD and test automation SQL – Metadata-driven pipelines – Performance tuning Azure cloud data platforms – Structured and semi‐structured data – Secure development Cloud and on‐premise integration – Batch and near real … Experience designing, building and supporting Snowflake data warehouse solutions. Experience delivering data engineering, analytics or data warehouse solutions in cloud environments, ideally Azure. Strong SQL capability and experience working with cloud-based data platforms. Experience building high‐performing, scalable ELT or data pipelines for structured and semi‐structured data. Experience ...

workforce systems, data analysis, business intelligence or advanced Microsoft Excel. Desirable *Training or qualification in workforce planning methodology, business intelligence, Power BI, SQL, data warehousing, project management or leadership. Experience Essential *Experience of using ESR or equivalent HR/workforce systems to extract, validate, analyse and report workforce information. *Experience … organisation or complex multi-site environment. *Experience of line management, appraisal, training delivery or team leadership. *Experience developing dashboards in Power BI or using SQL, Power Query, ESR BI or data warehouse reporting. *Experience of establishment control, position management, data quality improvement or workforce planning cycles. Additional Criteria Essential *Advanced ...

deliver data products that are reliable, scalable and fit for purpose. The role is suited to engineers who are comfortable writing code, working with SQL and distributed data processing, and solving practical delivery problems in a team environment. More experienced candidates may also contribute to technical design, platform standards … experience, with evidence of strong quantitative skills or data engineering expertise. Strong hands-on programming experience in Python or Java. Good working knowledge of SQL, including troubleshooting, optimisation and data analysis. Ability to learn new tools, internal platforms and delivery workflows quickly. Familiarity with software engineering fundamentals, including version control ...

terraform, CDK or cloud formation. Experience developing API based data integration. Excellent analytic skills associated with working on structured and unstructured datasets. Excellent SQL experience on various platforms (SQL, PostgresSQL, PL/SQL etc) Experience of several of MySQL, Oracle, SQL, Postgres, RDS, Aurora, Athena or other similar large scale ...

envisioning how these upgraded dashboards can leverage the capabilities of the Data Lake, maximizing data accessibility and relevance. Experienced desired:• Experience of working with SQL, data and databases to explore data. Proven experience in designing and developing interactive dashboards and reports using PowerBI, Tableau, QlikView or another similar platform. Familiarity … with data warehousing concepts and cloud platforms (e.g., Azure, AWS). Proficient in SQL for data manipulation and extraction. Experience of working with big data storage solutions, such as Data Warehouses and/or Data Lakes. Experience of generating internal and external reports for regulatory bodies. Higher Education domain experience ...

technical colleagues. Essential Skills and Experience Significant experience working as a Data Engineer (typically around five years or more) Strong proficiency in SQL and Python Proven experience designing and delivering end-to-end data engineering solutions Experience working with structured and semi-structured datasets Strong problem-solving and analytical skills ...

ensure sufficient protection of enterprise data. Implement data security using entitlements frameworks. Update logical or physical data models based on new use cases. Use SQL frequently and understand NoSQL databases Applies reuse-first, AI-assisted practices to strengthen SDLC-quality routines for data pipelines (e.g., test generation and control validation … assisted outputs (e.g., query suggestions, test ideas, or model change summaries) before use, escalating when uncertain and following data handling requirements. Advanced at SQL, including joins and aggregations. Working understanding of NoSQL databases. Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns for analysis. ...

Support users in the effective use of business systems, encouraging best practice and improving data accuracy across key platforms. Query and analyse data using SQL to support operational reporting, business analysis and decision-making. Use advanced Excel, including VBA/VB automation where appropriate, to manipulate, cleanse, reconcile and structure … Strong business process mapping and documentation skills, including L1-L3 process modelling. Excellent Power BI skills, including dashboard design, data visualisation and reporting. Good SQL knowledge with experience writing queries to extract, analyse and validate data. Advanced Microsoft Excel skills, including complex formulas, data manipulation, reconciliation and VBA/ ...

data platforms . Advanced knowledge of Apache Spark/PySpark . Strong programming skills in Scala and/or Python . Expertise in SQL and large-scale data modelling. Strong cloud experience across GCP, AWS, or Azure . Experience with Databricks, Snowflake, or Hadoop ecosystems . Knowledge of data ingestion ...

data platforms . Advanced knowledge of Apache Spark/PySpark . Strong programming skills in Scala and/or Python . Expertise in SQL and large-scale data modelling. Strong cloud experience across GCP, AWS, or Azure . Experience with Databricks, Snowflake, or Hadoop ecosystems . Knowledge of data ingestion ...

analytics and data engineering projects, including: Configuring and implementing cloud and database infrastructure using tools such as Google Cloud, Google BigQuery and Google Cloud SQL Transforming and modelling data using tools such as dbt, Dataform and Cube Developing dashboards, explorations and data visualisations using tools such as Looker, Preset, Power … manage multiple concurrent engagements Outstanding analytical, problem-solving and technical skills, a head for numbers and an attention to detail An excellent grasp of SQL, data modelling, cloud data warehousing and database design Experience using software development methods (git, CI/CD, code reuse etc) in an analytics context Confidence ...

leading and developing high-performing analytical teams. Deep hands‐on experience in database building, schema design, database maintenance, data warehousing, ETL processes, and advanced SQL querying across very large and complex data environments. Proven ability to identify, evaluate, and implement tools and technologies that consolidate disparate data sources into … truth for commissions, sales performance analytics, and reporting. Practical experience with script‐based reconciliation or automation tools such as VBA, Python/Pandas, SQL, Alteryx, or equivalent methods to rapidly reconcile large dataset pipelines and identify calculation or data integrity issues. Proven track record establishing and enforcing data governance policies ...

high-impact opportunities to apply AI and emerging technology and driving adoption across regional teams* Apply AI tooling - generative AI, prompt engineering, agent workflows, SQL, and BI - to analyze data, accelerate work, and design more efficient regional workflows* Account for EMEA-specific regulatory, operational and reporting requirements - when scoping … Power Platform, and comparable platforms such as Appian, to solve regional process problems directly* Apply hands-on scripting and coding such as Python, SQL, and VBA where appropriate to build integrations, automations, or data transformations beyond what low-code tools allow* Create and maintain reusable components - prompt libraries, automation templates ...

SVaR calculations. Infrastructure Development Build and enhance Snowflake-based time series infrastructure for scalability and performance. Develop Python ETL/ELT pipelines and optimized SQL models for historical time series storage and retrieval. Collaboration & Governance Work closely with Market Data and Risk teams to define canonical market observables and maintain … hands-on experience in developing applications using Relational Databases and Big-data platforms. Technical Strong Python (pandas, numpy, data engineering best practices).Advanced SQL and Snowflake (warehouse management, streams/tasks, query optimization).Domain Knowledge Market risk concepts: VaR, SVaR, sensitivities, stress testing. Handling end-of-day market data ...

preferred) Strong analytical and problem-solving skills Advanced Excel skills and experience with Power BI/Power Query Solid understanding of relational databases (MS SQL) What success looks like in this role Clear, well-prioritised requirements gathered across the finance function Measurable efficiency improvements through automation, system optimisation, or better ...

reviews focused on key business questions and areas of opportunity, providing rigorous and timely analysis to help drive progress. Deliver hands‐on analysis using SQL, Power BI, and Python/R, ensuring outputs are robust, scalable, and actionable. Translate complex data into clear, compelling narratives tailored to different audiences, including … Proven experience in stakeholder‐facing analytics roles, with a track record of influencing decisions through data. Strong hands‐on skills in Python or R, SQL, Power BI (including DAX and Power Query). Proven experience in using a variety of analytical techniques, matching the appropriate technique to the business problem. ...

Audit. Develop maintainable Python solutions using Pandas, Polars and PySpark, selecting fit-for-purpose approaches based on scale, performance and operational needs. Write advanced SQL for data transformation, reconciliation, profiling and analysis across OLTP and analytical data platforms. Design data models for operational and analytical use cases, including dimensional modelling … master’s degree is welcome. Hands-on proficiency in Python, including Pandas, Polars and PySpark, with experience writing testable and maintainable code. Strong SQL proficiency and practical understanding of OLTP databases, relational design and query performance. Strong understanding of data modelling, data warehousing, dimensional modelling and slowly changing dimensions. Experience ...

data quality dimensions such as completeness, accuracy, consistency, timeliness, validity and uniqueness. Practical skills in Excel and experience of, or an interest in developing, SQL, Python, cloud data platforms and analytics or visualisation tools. Ability to follow defined test procedures, document work clearly, maintain accurate evidence and escalate unexpected results ...

Knowledge of tools such as SAP & JIRA. Familiarity with Agile and/or Waterfall methodologies. Exposure to automation tools (Power Automate, Python, SQL). Thank you in advance for your attention and continued support. #J-18808-Ljbffr ...

data quality dimensions such as completeness, accuracy, consistency, timeliness, validity and uniqueness. Practical skills in Excel and experience of, or an interest in developing, SQL, Python, cloud data platforms and analytics or visualisation tools. Ability to follow defined test procedures, document work clearly, maintain accurate evidence and escalate unexpected results ...

Clear SFTR Reporting for LME Clear MiFID Reporting for LME Submitting other regulation reports for LME and LME Clear Develop and maintain SQL queries to support reconciliations, investigations and reporting validation activities Analyse large regulatory reporting datasets to identify reporting exceptions, data quality issues and control weaknesses Utilise Python … MiFID, EMIR and SFTR would be a strong advantage Strong analytical and problem-solving skills with a data-driven approach Working knowledge of SQL, including the ability to query, analyse and validate data from multiple sources Strong attention to detail and ability to identify data anomalies Advanced Excel skills including ...

facility sizing and pricing decisions Develop and maintain cashflow and waterfall models supporting portfolio decision-making, new facility structuring and refinancing Write production-quality SQL and Python and build database tables and dbt models alongside our data engineering teams, so that monitoring is self-serve rather than a recurring manual … FinTech Strong academic background including at least a Bachelor’s degree (Mathematics, Engineering, Statistics, Computer Science, Computational Finance, Economics) or equivalent Advanced, hands‐on SQL and Python — you build and maintain analytical code and automation yourself rather than specifying it for someone else The analytical judgement to go with ...

stakeholder skills Relevant degree, actuarial study or equivalent analytical experience General Insurance experience would be advantageous but isn't essential. Exposure to Power BI, SQL, Power Query, DAX, Python, R or Alteryx would also be beneficial. You don't need to be a qualified or studying actuary – we're equally ...

within a fast paced enterprise scale environment Bachelors or Masters degree in Computer Science Data Engineering or a related technical field Strong Proficiency in SQL and Data Integration Platforms such as IBM Streamsets or Informatica with thorough understanding of data transformation and orchestration processes Extensive Experience with AWS services including ...