426 to 450 of 15,877 SQL Jobs in England

such as Alteryx Experience of the Microsoft Power Platform suite, including Power Query and Power BI A basic knowledge of database development e.g. writing SQL statements What We Look For We are looking for knowledgeable technical professionals that are proactive and self-motivated who have a willingness to learn new More ❯

experience, accountancy knowledge, or prior experience with regulatory reporting software (Axiom SL/WKFS) would be beneficial. Additional technical skills or equivalents such as SQL, Java, Excel Data Analysis, VB/VBA, R, Python are advantageous. Proficiency with Microsoft tools like Office 365, SharePoint, Teams, Power BI. Familiarity with the More ❯

systems. Experience working on global projects across multiple geographical locations is preferred. Strong analytical and problem-solving skills. Proficiency in tools like MS Excel, SQL, and data visualization software (e.g., Power BI). Proficient in JIRA/Confluence for requirement tracking and project management. Knowledge of Agile, Scrum, or Waterfall More ❯

architecture - C#/Java or other Object Oriented programming language experience (nice to have) - Jira/Confluence or other project managemet tools. - MySQL/SQL Databases & ElasticSearch & Redis - Cloud computing (Azure/AWS/GCP) - Rabbit MQ - Linux - REST/GraphQL - Ansible - Prometheus/Grafana/Alertmanager What We Offer More ❯

data analysis, extraction, transformation, and loading, data intelligence, data security and proven experience in their technologies (e.g. Spark, cloud-based ETL services, Python, Kafka, SQL, Airflow) You have experience in assessing the relevant data quality issues based on data sources & uses cases, and can integrate the relevant data quality checks More ❯

Financial Industry particularly in Global Markets Proficient in prescriptive analytics using tools such as Alteryx or others Proficient in database query languages such as SQL Experience with using multi-dimensional data modeling/data warehousing for data analytics and reporting Analytical, self-motivated, detail-oriented with strong problem-solving skills More ❯

pipelines and tools. Familiarity with agile development, Jira, Confluence. Preferred: Master’s degree or higher. Experience leading cross-functional teams. Knowledge of database modeling, SQL, and data visualization frameworks like D3.js, Plotly, Matplotlib. Interested in joining? Please apply via our online portal with your CV and Cover Letter. Remember to More ❯

/Reporting Analyst within financial services Ability to develop and maintain data dashboards and reports Proficiency in data analysis tools such as Jira, Confluence, SQL, Power BI, or similar BI tools Ability to document data processes and workflows Skills, abilities, and behaviours required: Strong leadership skills with coaching ability Solid More ❯

comprehensive understanding of data warehousing, extract, transform and load · Experience in data modelling · Exposure and experience of Azure data and analytics products and services · (SQL and NOSQL databases, data lake, data factory, synapse, data bricks, PowerBI, Fabric, DMD, Purview, Profisee.) · Experience of working at a senior level with technology stakeholders More ❯

Science, Engineering, Statistics). Extensive previous experience in a product analytics role, preferably within a B2B SaaS environment. Strong analytical skills with proficiency in SQL and data visualization tools (e.g., Power BI, Tableau, Looker). Experience with product analytics platforms (e.g., Heap, Mixpanel, Google Analytics). Ability to analyze large More ❯

similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience developing and presenting recommendations of new More ❯

Talend, dbt, Apache NiFi). Strong familiarity with data warehousing, data lake/lakehouse architectures, and cloud-native analytics platforms. Hands-on experience with SQL and cloud data platforms (e.g., Snowflake, Azure, AWS Redshift, GCP BigQuery). Experience with BI/analytics tools (e.g., Power BI, Tableau) and data visualization More ❯

understanding of customer payment behaviour and UK economic trends; adept at identifying performance drivers and solving business problems through explorative analysis. Proficient in Excel, SQL, Python/R (preferred) for data wrangling, forecasting, regression, time series analysis, and test/control group evaluation. Skilled in creating advanced reports and dashboards More ❯

React, Redux, Vue, Backbone, Angular). Experience in deploying software on leading cloud computing platforms (such as GCP, AWS, Azure). Understanding of both SQL and NoSQL database technologies. Strong skills in data structures, algorithm design, and implementation. Proficiency in handling and analyzing time-series data, including its cleansing and More ❯

technical coach). Position might be filled at a higher level based on candidate experience. Qualifications Preferred Requirements: Experience with query languages such as SQL, SPL, or KQL. Experience with observability and log collectors/pipelines such as FluentBit, OpenTelemetry, Cribl, and Logstash. Experience with web technologies such as HTML More ❯

HANA administration, including data provisioning, data tiering, security, and performance optimization. Proficiency in ABAP development is required (programs, functions, object classes, WebDynpro). Strong SQL skills with experience in query performance tuning. Knowledge of MS Power BI, Azure Data Lake, and Data Factory is an advantage. Databricks experience is a More ❯

well-documented data infrastructure and pipelines Support technical recruitment and interviews Qualifications 5+ years of experience in backend/data engineering Strong proficiency in SQL and Python Experience building and maintaining data pipelines using tools like Airflow, dbt, or similar Proven success in managing structured and unstructured data at scale More ❯

modelling. · Strong track record of engaging stakeholders, capturing requirements, translating them into analytical solutions and driving adoption by business users. · Strong working knowledge of SQL and relational database structures. · Demonstrable expertise in MI usability and design to maximise adoption and use (e.g. for dashboards) · Self-starter mindset with the ability More ❯

tracking implementation (e.g. Piano Analytics, Google Analytics, Adobe Analytics) and the ability to create dashboards using tools like Tableau, R Shiny or similar Advanced SQL skills and proficiency in another scripting language e.g. Python, R and experience using big data tools (AWS, Microsoft Azure, Snowflake etc.) Proven team-player who More ❯

influencing stakeholders Experience on defining requirements, creating business requirement document, understanding business process and using data and metrics to draw business insights Proficiency in SQL, ETL management, Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualisation tools such as Tableau experience PREFERRED QUALIFICATIONS MBA or Master More ❯

Familiarity with networking protocols, firewalls, VPNs, and cybersecurity practices is a strong plus, especially in defence-related projects. • ??Database Knowledge: Skills in databases like SQL, NoSQL, or data analytics tool Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and More ❯

than office presence Person Profile (Qualifications, Knowledge, Skill and Experience): Proven experience as a Data Engineer or in a similar role. Strong proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL, MongoDB). Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Luigi). Familiarity More ❯

Extensive experience with cloud platforms (AWS, GCP, or Azure) · Experience with: o Data warehousing and lake architectures o ETL/ELT pipeline development o SQL and NoSQL databases o Distributed computing frameworks (Spark, Kinesis etc ) o Software development best practices including CI/CD, TDD and version control. o Containerisation More ❯

a culture of results-driven collaboration, support and respect. What You'll Bring to the Role Essential Skills & Experience: Approx. 8 years' experience using SQL or Python for data analysis, with about 3 years' experience in P&C insurance. A degree at BSc or MSc level in a Numerical field More ❯

such as pandas, scikit-learn, and xgboost, and writing clean, modular, and reusable code. Experienced in deploying Python scripts and ML workloads. Familiarity with SQL, including writing complex queries with Common Table Expressions (CTEs), and performance-aware joins across large-scale datasets. Comfortable operating in client-facing, consulting-style environments More ❯