251 to 275 of 4,176 SQL Jobs in England

experience in a Data Engineering role, ideally in the bank sector Strong passion for data and software engineering with a problem-solving mindset Proficiency in technologies such as dbt, SQL, Python, Java, SAS, or other open-source analytics tools Ability to translate complex business requirements into technical solutions Excellent communication and interpersonal skills; able to explain technical concepts to non More ❯

of 2) Extensive Data Engineering and Data Analytics hands-on experience Significant AWS hands-on experience Technical Delivery Manager skills Geospatial Data experience (including QGIS) FME Advanced Database and SQL skills Certifications : AWS or FME certifications are a real plus. Experience with ETL tools such as AWS Glue, Azure Data Factory, Databricks or similar is a bonus. The role comes More ❯

with ETL tools such as SnapLogic, Boomi, or MuleSoft or experience building your own ETL pipelines. Experience building enterprise API Gateway solutions based around Rest or GraphQL. Experience with SQL, NoSQL or MQL. Experience with Infrastructure as Code tools like Terraform. Proficient in Git version control, including branching strategies and collaborative workflows. Familiarity with a range of technologies, including AWS More ❯

communication and collaboration skills to work effectively in a team environment. Familiarity with SAAS implementation and integration. Programming in one or more languages within our data ecosystem (e.g. Python, SQL). You rock at: Experience as a Solutions Architect and Data Engineer. Proficiency in data warehousing concepts and multidimensional data modelling techniques. Strong understanding of data management principles, data governance More ❯

and priorities in a challenging start-up environment. You have a curious mind and love problem-solving. We are looking for candidates who have Demonstrable, in-depth experience with SQL, particularly in BigQuery and PostgreSQL. Proven experience with dbt, focusing on building and maintaining efficient, scalable, and reliable DAGs. Proficiency in Python for data manipulation, scripting, or automation tasks. Are More ❯

development experience , with expertise in both backend and cloud services. Deep proficiency in Core Java (preferably Java 8) and the Spring/Spring Boot ecosystem. Strong background in MS SQL development, writing queries, stored procedures, managing jobs, and database administration. Skilled in writing robust unit and integration tests. Solid understanding and application of SOLID design principles. Extensive experience designing and More ❯

Computer Science, Information Technology or similar A curiosity to explore new technologies Experience across the full software development lifecycle Ability to code within projects Experience in Databases, including MongoDB, SQL or Document Database Ideally a full-stack or backend technical backgroundwith experience with Java, .Net, C # or similar full-stack languages Experience in Unit Testing Experience in Model-View More ❯

Computer Science, Information Technology or similar A curiosity to explore new technologies Experience across the full software development lifecycle Ability to code within projects Experience in Databases, including MongoDB, SQL or Document Database Ideally a full-stack or backend technical backgroundwith experience with Java, .Net, C # or similar full-stack languages Experience in Unit Testing Experience in Model-View More ❯

data technologies such as Apache Spark, and knowledge of Hadoop ecosystems. Knowledge of programming languages such as Python, R, or Java is beneficial. Exposure to ETL/ELT processes, SQL, NoSQL databases is a nice-to-have, providing a well-rounded background. Experience with data visualization tools and DevOps principles/tools is advantageous. Familiarity with machine learning and AI More ❯

Experience with Data modelling, Data warehousing, and building ETL pipelines Experience with AWS (S3, EKS, EC2, RDS) or similar cloud services, Snowflake, Fivetran, Airbyte, dbt, Docker, Argo Experience in SQL, Python, and Terraform Experience with building Data pipelines and applications to stream and process datasets Robust understanding of DevOps principles is required Experience managing cloud infrastructure would be beneficial Sound More ❯

as a data analyst. Strong IT literacy with emphasis on MS Excel within the MS Office suite. Experience with reporting/analysis/visualisation tools such as Power BI, SQL, Python or similar. Knowledge of Power Automate, Visio, and MS Forms tools. Strong communication skills – both verbal and written. Strong analytical and problem-solving skills. Ability to work under pressure More ❯

and ITIL frameworks. Proficiency with data warehousing solutions (e.g., Google BigQuery, Snowflake). Expertise in data modeling tools and techniques (e.g., SAP PowerDesigner, EA Sparx). Strong knowledge of SQL and NoSQL databases (e.g., MongoDB, Cassandra). Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud). Experience with data integration and ETL tools (e.g., Talend, Informatica). Excellent analytical More ❯

as a data analyst. Strong IT literacy with emphasis on MS Excel within the MS Office suite. Experience with reporting/analysis/visualisation tools such as Power BI, SQL, Python or similar. Knowledge of Power Automate, Visio, and MS Forms tools. Strong communication skills - both verbal and written. Strong analytical and problem-solving skills. Ability to work under pressure More ❯

building reliable data-focused backend services Have hands-on experience with cloud infrastructure (GCP/AWS/Azure), infrastructure-as-code (Terraform), containerisation (Docker/k8s) and data pipelines (SQL, dbt, Airbyte) Love automation, process improvement and finding ways to help others work efficiently Are comfortable working autonomously and taking responsibility for the delivery of large technical projects Are eager More ❯

must be extremely comfortable communicating and presenting to senior stakeholders. Comprehensive knowledge of data management principles, including governance, quality, security, and lifecycle management. Familiarity with data tools and platforms: SQL, MS Azure cloud technologies, Databricks, Power BI, EDP, MDM (Master Data Management). Knowledge of data modelling, ETL pipelines, and data warehousing principles. Understanding of data privacy and compliance regulations More ❯

of 2-3 years of experience in data analysis and reporting, preferably within the collections, recoveries, or debt purchase environment. Technical Skills: Proficiency in data analysis tools such as SQL, Excel, and reporting tools like Tableau or Power BI. Experience with database management and data visualization. Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret complex More ❯

and out of hours on a best endeavours basis. Skills/Qualifications Essential Skills Strong working knowledge of Azure Databricks/Spark (using Python and associated frameworks) Privacera and SQL Strong working knowledge of Azure Data Lake and Blob storage Strong experience of building data reporting and visualisations using PowerBI and/or Tableau Experience in application development with proficiency More ❯

parametric (e.g. logit/probit) and non-parametric (e.g. random forest, neural net) techniques as well as wider ML techniques like clustering/random forest (desirable). Tech Stack: SQL, Python, R, Tableau, AWS Athena + More! More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an More ❯

third-party APIs, cloud platforms, and existing legacy systems where necessary. Own and evolve database design, models, and schemas to support new features and improve system efficiency. Craft performant SQL queries, stored procedures, and triggers to support mission-critical features and ensure application responsiveness. Comfortable working with AI-powered tools (e.g., GitHub Copilot, Cursor, code generation, test automation, etc.) to More ❯

platforms such as AWS, Azure, or Google Cloud for deploying and managing machine learning models and infrastructure. Data Management Knowledge: Understanding of data management principles, including experience with databases (SQL and NoSQL) and familiarity with big data frameworks like Apache Spark or Hadoop. Knowledge of data ingestion, storage, and management is essential. Monitoring and Logging Tools : Experience with monitoring and More ❯

tools and techniques Experience training machine learning models, including hyperparameter tuning and optimizing model performance Experience with (or at least exposure to) MLops workflows Experience with Python Experience with SQL Critical thinking and ability to problem solve Experience with data warehousing and database systems Exposure to working with CI/CD Knowledge of developing data pipelines Exposure to ETL (Extraction More ❯

discuss complex investment and/or technical concepts to various stakeholders across the organization. Exceptional attention to detail and organizational skills to document requirements. Strong technical aptitude in Python, SQL, Power BI. Ability to work collaboratively with the investment team, other stakeholders, and technology teams to design and implement effective solutions. Proven experience leading delivery teams and mentoring junior talent. More ❯

data analytics Are experienced with data, BI or analytics engineering practices Are experienced in designing, building, and maintaining data pipelines using streaming or CDC events. Have expert knowledge of SQL Have hands on experience working in the AWS technology stack Excited about working in a rapidly growing fintech that will throw you in at the deep end, and where your More ❯

Confident user of MSTeams Proficient in business process modelling tools such as Microsoft Visio or similar Able to conduct simple data modelling Comfortable using data analysis tools like Excel, SQL, or specialised software like Tableau or Power BI Familiarity with project management software (e.g., MS Project, Jira) and collaboration tools such as MS Practical experience in Business Analysis roles, preferably More ❯

with cloud and linux environments (AWS a plus) Understanding and/or experience with and parsing different data formats (JSON, XML, etc) Understanding and/or experience with ETL, SQL Previous work in Customer and/or Employee Experience software and systems, including pre or post-sales support Bachelor's Degree (not required as equivalent work experience may also qualify More ❯