301 to 325 of 4,737 SQL Jobs in England

in at least one of the specified programming languages (Python, Node.js, Kotlin or Java) and their associated frameworks. • Has a strong experience with database design and management, including both SQL (PostgreSQL or MySQL) and potentially NoSQL databases. • Has hands-on experience with RESTful API design and microservices architecture. • Demonstrates a strong understanding of security best practices and compliance standards like More ❯

business goals. Responsibilities Design, develop, and maintain clean, scalable, and efficient code. Build and optimise RESTful APIs and backend services to support web applications and internal tools. Work with SQL Server and Entity Framework to manage data access, schema changes, and performance optimisation. Collaborate with the team to define and integrate APIs and backend functionality Participate in code reviews, providing More ❯

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 ❯

junior data scientists and contribute to the evolution of data science standards and practices Key Skills & Technologies Technical: Strong in Python (pandas, scikit-learn, XGBoost, LightGBM, etc.) Proficient in SQL for complex customer data extraction and manipulation Experience with customer analytics techniques: segmentation, RFM analysis, clustering, time-series, A/B testing, uplift modeling Familiarity with BI tools (e.g. Tableau 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 ❯

data platforms (e.g.: AWS, Azure, GCP). Experience with using Git for version control. Strong understanding of statistical analysis, machine learning, and predictive modelling techniques. Proficiency in Python and SQL programming languages. Proficiency with at least one cloud-based ML platform, such as SageMaker, Vertex AI or Azure Machine Learning Studio. Good knowledge of DevOps practices and tools (e.g.: Git More ❯

a startup ). Experience working on projects with complex data modeling requirements. Knowledge of security engineering practices and methods. Strong knowledge of databases in general and the tradeoffs between SQL & NoSQL. Experience building APIs. Technical expert in a chosen domain, with a willingness to adapt to new technologies to support the team. Creative problem solver who organizes a team around 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 ❯

to knowledge bases. Problem-Solving Abilities: Implement effective solutions under pressure. Communication Skills: Clear verbal and written communication. Technical Proficiency: Proficiency in .Net, React JS, Windows, Unix/Linux, SQL, PostgreSQL, Oracle, and GitHub. Tools: Experience with UCD, MQ Message Queue, TWS Batch Scheduling, IBM WebSphere, IBM APIC, IBM MQ, Splunk, Dynatrace, Google Cloud, and CMS. SRE & Service Engineering: Advanced 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 ❯

have previously planned and developed end-to-end solutions. Proficiency in C#, .NET Core, and Python. Experience with Azure Data Factory, Databricks, and either Azure Cosmos DB or Azure SQL Database is beneficial. Experience in designing and maintaining robust CI/CD pipelines, applying Infrastructure as Code (IaC) principles with exposure to Terraform, and incorporating Azure MLOps practices for seamless More ❯

have previously planned and developed end-to-end solutions. Proficiency in C#, .NET Core, and Python. Experience with Azure Data Factory, Databricks, and either Azure Cosmos DB or Azure SQL Database is beneficial. Experience in designing and maintaining robust CI/CD pipelines, applying Infrastructure as Code (IaC) principles with exposure to Terraform, and incorporating Azure MLOps practices for seamless More ❯

roles. Proven track record in designing solutions for complex, multi-site operations. Strong understanding of transportation networks, warehouse operations, and supply chain principles. Proficiency in data analysis tools (Excel, SQL, Power BI) and simulation techniques. Experience with ERP and WMS systems (e.g. SAP, Oracle, Manhattan). Excellent stakeholder management and communication skills. Commercial acumen with the ability to balance cost 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 ❯

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 ❯

to knowledge bases. Problem-Solving Abilities: Implement effective solutions under pressure. Communication Skills: Clear verbal and written communication. Technical Proficiency: Proficiency in .Net, React JS, Windows, Unix/Linux, SQL, PostgreSQL, Oracle, and GitHub. Tools: Experience with UCD, MQ Message Queue, TWS Batch Scheduling, IBM WebSphere, IBM APIC, IBM MQ, Splunk, Dynatrace, Google Cloud, and CMS. SRE & Service Engineering: Advanced 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 ❯

scalable reporting. 📚 What You Bring to the Table 10+ years of experience in data analytics, analytics engineering, or business intelligence, preferably in a technology or SaaS environment. Expertise in SQL and data modelling, with hands-on experience working with cloud data warehouses (BigQuery a strong plus). Proficient with BI tools (Looker Studio, Superset, or similar), able to build robust More ❯

scalable reporting. 📚 What You Bring to the Table 10+ years of experience in data analytics, analytics engineering, or business intelligence, preferably in a technology or SaaS environment. Expertise in SQL and data modelling, with hands-on experience working with cloud data warehouses (BigQuery a strong plus). Proficient with BI tools (Looker Studio, Superset, or similar), able to build robust More ❯