101 to 125 of 4,674 SQL Jobs in the UK

Ruby, Go, Swift or similar object-oriented language. Experience with AWS - including but not limited to EC2, S3, RDS, Lambda and CloudFormation Experience of SQL and Windows severs would be beneficial Hands-on experience with microservices and distributed application architecture, such as containers, Kubernetes, and/or serverless technology. Proficient More ❯

compliance (e.g., GDPR, CCPA), and data security best practices. Proven experience in enterprise-level architecture design and implementation. Hands-on knowledge of database systems (SQL/NoSQL), ETL/ELT processes, and data modeling techniques. Exceptional leadership, communication, and stakeholder management skills. Ability to work in fast-paced, agile environments More ❯

data integration patterns, ETL/ELT, and modern data architectures. Be familiar with CI/CD practices in a data engineering context. Have excellent SQL and Spark (PySpark) skills. Have obtained experience in working with large, complex datasets and performance optimization. Exhibit strong leadership and communication skills. Demonstrate previous experience More ❯

Our ideal candidate: Strong experience in Designing and delivering Azure based data platform solutions, technologies including: Azure Data Bricks, Azure Synapse Analytics. Azure MS SQL Managed Service/Azure PostgreSQL. Azure ADF and Data Bricks, Azure Functions, App Service, Logic App, AKS, Azure App Service, Web App. Good knowledge in More ❯

design, and distributed systems. Deep understanding of DevOps practices, CI/CD pipelines, and infrastructure as code (IaC). Familiarity with data architecture, databases (SQL/NoSQL), and big data technologies. Excellent problem-solving and analytical skills. Strong communication, leadership, and interpersonal abilities. Qualifications: Bachelor's or Master's degree More ❯

goals. Desirable Knowledge of Financial Markets, Particularly Oil, Gas, and Commodities. Business Analysis Skills including requirements gathering, process mapping, and data analysis. Experience with SQL, C#.Net, Git, Python (Panda, Numpy, ML libraries), and data visualization tools such as Power BI or Tableau. Benefits & perks Competitive salary Vitality health insurance and More ❯

Lake house and experience in micro services, API design, Kafka, Redis, MemCached, Observability (Datadog, Splunk, Grafana or similar), Orchestration (Airflow, Temporal). Proficient in SQL and in one or more DBMS: Oracle, PostgreSQL, Sybase, MongoDB, Cassandra, CockroachDB, MySQL, Couchbase, DynamoDB. Overall knowledge of the Software Development Life Cycle. Solid understanding More ❯

and maintaining CI/CD alm toolkit; Implementing Dynamics CRM Master Data Model using Azure Logic Apps and Power Automate. Desirable: Strong knowledge of SQL and data processing libraries like Pandas. Experience with Amazon Redshift or similar technologies. Knowledge of agile software development practices, and examples of providing leadership in More ❯

and maintaining CI/CD alm toolkit; Implementing Dynamics CRM Master Data Model using Azure Logic Apps and Power Automate. Desirable: Strong knowledge of SQL and data processing libraries like Pandas. Experience with Amazon Redshift or similar technologies. Knowledge of agile software development practices, and examples of providing leadership in More ❯

software development, ideally including the use of relational databases. Experience with scripting and object-oriented programming languages such as Python, Java, C++/C#, SQL, etc. Ability to troubleshoot complex processes, software issues, and software configuration. Excellent verbal and written communication skills and ability to interact professionally with a diverse More ❯

of experience in data analysis or a related field, preferably within a retail business environment. Strong proficiency in data analysis tools and software (e.g., SQL, Python, R, Excel) and visualization tools (e.g., Power BI, Tableau). Excellent quantitative and qualitative analytical skills with a solid attention to detail. Strong verbal More ❯

ensuring solutions deliver tangible business outcomes. Proven experience of building and deploying scalable predictive/ML solutions that deliver measurable business value. Proficiency in SQL and Python/R is essential. Hands-on experience with Databricks and Power BI is desirable. Familiarity with agile methodologies and tools (e.g., Jira, Azure More ❯

across the data platform. Knowledge, Skills and Experience: Essentia l Strong expertise in Databricks and Apache Spark for data engineering and analytics. Proficient in SQL and Python/PySpark for data transformation and analysis. Experience in data lakehouse development and Delta Lake optimisation. Experience with ETL/ELT processes for More ❯

but not essential (if newly qualified). Excellent academics. Highly analytical mindset. Strong skills in data manipulation and analysis using tools such as Excel, SQL, Python. Experience with BI tools like QuickSight, Tableau, Power BI, or Looker for dashboard creation and data visualisation. Demonstrable commercial or entrepreneurial acumen. Driven and More ❯

using AVEVA Information Standards Manager or similar. IT Skills - Excellent working knowledge of databases and reporting A strong technical background in Oracle 12c, PL\SQL, ETL and data warehousing. Automation of processes using different scripting languages like PowerShell, CMD etc. Self-sufficient and be creative in defining reporting/data More ❯

scalability. Share knowledge across teams and contribute to a culture of data-driven decision-making. Skills and Qualifications Essential Technical and Analytical Proficiency in SQL and experience working with data warehouses (e.g. BigQuery). Demonstrated experience building dashboards and reports in tools such as Looker Studio, Power BI, Tableau, or More ❯

pipeline implementation. Experience with API (RESTful/Socket/OpenQL), microservice architecture and development. Experience with cloud-native platform patterns. Technical Skills: Experience with SQL, including schema design and optimisation. Experience with testing frameworks and tools. Knowledge of CI/CD tools. Familiarity with security tools and practices. Experience with More ❯

scalability. Share knowledge across teams and contribute to a culture of data-driven decision-making. Skills and Qualifications; Essential; Technical and Analytical; Proficiency in SQL and experience working with data warehouses (e.g. BigQuery). Demonstrated experience building dashboards and reports in tools such as Looker Studio, Power BI, Tableau, or More ❯

pipelines for clinical text processing, balancing performance, cost, and accuracy in a healthcare setting Integrating NLP pipelines with structured databases like OMOP and other SQL databases Pioneer the future of clinical AI by developing and implementing novel LLM-based solutions for clinical applications, from automated documentation to decision support Design More ❯

and integration of financial applications. Investran or similar platform certifications beneficial. Good working knowledge of Accounting Platform database structures and data models. Proficiency in SQL and data query languages to extract and manipulate data. Experience beneficial in Object Oriented language development, including integrations with SOAP and REST based APIs. Familiarity More ❯

a track record of successfully leading and delivering data analytics projects, with at least three years of experience in data and analytics. Proficiency in SQL and some experience of at least one scripting language, such as Python or R, is essential, along with experience using business intelligence and data visualisation More ❯

be able to perform statistical analysis. Requirements Python for DS (the usuals pandas plotting etc) Modelling skills for both ML applications and data reporting SQL at least basics but by year 3 should be quite proficient with at least pulling data Data Lake implementation and processing. Knowledge of Snowflake or More ❯

on scalable architectures. Required Skills & Experience Experience: 3-5 years of hands-on experience with big data tools and frameworks. Technical Skills: Proficiency in SQL, Python, and data pipeline tools such as Apache Kafka, Apache Spark, or AWS Glue. Problem-Solving: Strong analytical skills with the ability to troubleshoot and More ❯

the boundaries of what’s possible with data analytics. What You Bring 5+ years in a Senior Data Analyst/Scientist role. Expertise in SQL and at least one analytical programming language (Python preferred, R or Julia acceptable). Strong background in data modelling (dimensional modelling), warehousing, and transformation techniques. 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 ❯