1,301 to 1,325 of 5,375 SQL Jobs in the UK

Drive delivery through structured planning, rigorous testing, and stakeholder engagement. Drive process improvement, control and streamlining of BAU tasks for business users. Desirable Skills Experience with PowerBI, Python or SQL Experience working with large data sets More ❯

Drive delivery through structured planning, rigorous testing, and stakeholder engagement. Drive process improvement, control and streamlining of BAU tasks for business users. Desirable Skills Experience with PowerBI, Python or SQL Experience working with large data sets More ❯

reconciliation processes. This role is ideal for someone who enjoys working on core operational infrastructure. Experience required: Proficiency in Python for backend development and data processing. Strong understanding of SQL, relational databases, and query optimization. Experience working with cloud platforms (AWS). Familiarity with Git and CI/CD workflows (GitHub Actions preferred). Experience of working in the energy More ❯

Drive delivery through structured planning, rigorous testing, and stakeholder engagement. Drive process improvement, control and streamlining of BAU tasks for business users. Desirable Skills Experience with PowerBI, Python or SQL Experience working with large data sets More ❯

Drive delivery through structured planning, rigorous testing, and stakeholder engagement. Drive process improvement, control and streamlining of BAU tasks for business users. Desirable Skills Experience with PowerBI, Python or SQL Experience working with large data sets More ❯

Drive delivery through structured planning, rigorous testing, and stakeholder engagement. Drive process improvement, control and streamlining of BAU tasks for business users. Desirable Skills Experience with PowerBI, Python or SQL Experience working with large data sets More ❯

model retrofit scenarios. * Develop address lists for retrofit based on energy efficiency and property type. * Identify system improvements to reduce data capture errors. Essential Skills & Experience * Advanced Excel and SQL proficiency. * Experience with large-scale databases and data platforms. * Strong stakeholder engagement and communication skills. * Power BI expertise, including DAX and M query writing. * Proven track record in data quality More ❯

UiPath or Automate Anywhere Cloud-native development experience, preferably in Microsoft Azure Familiarity with agentic automation, intelligent agents, or large language model integrations Programming skills in Python and either SQL, Java, or R This is a hybrid role with 2-3 days per week in the Birmingham office, offering a salary of up to £70,000. If you're looking More ❯

Proficient in cloud AI services (AWS SageMaker/Bedrock) Deep understanding of distributed systems and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow, Spark) Proficient in both SQL (PostgreSQL, MySQL) and NoSQL (Elasticsearch, MongoDB) databases Strong containerization and orchestration skills (Docker, Kubernetes) Experience with infrastructure as code (Terraform, CloudFormation) Expertise in building real-time streaming architectures Experience building More ❯

Familiarity with Visual Studio 2022 and modern development workflows. - Proven experience designing and implementing RESTful APIs. - Understanding of API versioning, documentation (e.g., Swagger), and security best practices. - Proficient in SQL, particularly with MySQL and PostgreSQL. - Strong skills in database schema design, normalization, indexing, and query optimization. - Solid understanding of data modelling and effective database architecture would be great! Please pop More ❯

Familiarity with Visual Studio 2022 and modern development workflows. - Proven experience designing and implementing RESTful APIs. - Understanding of API versioning, documentation (e.g., Swagger), and security best practices. - Proficient in SQL, particularly with MySQL and PostgreSQL. - Strong skills in database schema design, normalization, indexing, and query optimization. - Solid understanding of data modelling and effective database architecture would be great! Please pop More ❯

documentation (Future) Design and prototype ML workflows using cleaned and governed datasets What you'll need 3+ years of experience in a data analytics engineering role Deep fluency in SQL - performance, structure, and readability Business acumen and structured problem-solving mindset Comfort with the command line and Git workflows Experience working with DBT and cloud-based data warehouses (Redshift preferred More ❯

Strong experience in data leadership – ideally within fintech, SaaS, or regulated tech environments. Technical depth across data engineering, analytics, or data science. Hands-on familiarity with modern data stacks – SQL, dbt, Airflow, Snowflake, Looker/Power BI. Understanding of the AI/ML lifecycle – including tooling (Python, MLflow) and best-practice MLOps. Comfortable working across finance, risk, and commercial functions. More ❯

Strong experience in data leadership – ideally within fintech, SaaS, or regulated tech environments. Technical depth across data engineering, analytics, or data science. Hands-on familiarity with modern data stacks – SQL, dbt, Airflow, Snowflake, Looker/Power BI. Understanding of the AI/ML lifecycle – including tooling (Python, MLflow) and best-practice MLOps. Comfortable working across finance, risk, and commercial functions. More ❯

Strong experience in data leadership – ideally within fintech, SaaS, or regulated tech environments. Technical depth across data engineering, analytics, or data science. Hands-on familiarity with modern data stacks – SQL, dbt, Airflow, Snowflake, Looker/Power BI. Understanding of the AI/ML lifecycle – including tooling (Python, MLflow) and best-practice MLOps. Comfortable working across finance, risk, and commercial functions. More ❯

Strong experience in data leadership – ideally within fintech, SaaS, or regulated tech environments. Technical depth across data engineering, analytics, or data science. Hands-on familiarity with modern data stacks – SQL, dbt, Airflow, Snowflake, Looker/Power BI. Understanding of the AI/ML lifecycle – including tooling (Python, MLflow) and best-practice MLOps. Comfortable working across finance, risk, and commercial functions. More ❯

Strong experience in data leadership – ideally within fintech, SaaS, or regulated tech environments. Technical depth across data engineering, analytics, or data science. Hands-on familiarity with modern data stacks – SQL, dbt, Airflow, Snowflake, Looker/Power BI. Understanding of the AI/ML lifecycle – including tooling (Python, MLflow) and best-practice MLOps. Comfortable working across finance, risk, and commercial functions. More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯