151 to 175 of 801 SQL Jobs in London

from certified data sources Collaborate with stakeholders to identify new analytics opportunities Skills & Experience 4+ years in Data Analysis, BI, or Data Preparation Strong SQL and data transformation skills Power BI (DAX & Power Query) experience Familiarity with dbt or ELT tools (desirable) Knowledge of data modelling (star schema, slowly changing ...

working with insurance operational data. You’ll be comfortable managing outsourced providers, confident building structured datasets, and highly proficient in Excel and Power BI (SQL an advantage). Apply to this link today to be considered ...

Equipped with a degree in Computer Science or a related field. Proficient in designing and developing complex server-side functionality in Python. Familiar with SQL (preferably Oracle) and have basic Unix knowledge. A self-starter who thrives in an agile environment and is adept at juggling multiple priorities. Experienced within ...

complies with data protection, audit, and safeguarding standards. Experience Required Strong understanding of Oracle Fusion data structures across HCM, Payroll, Finance and Procurement Advanced SQL and analytical skills for data validation and troubleshooting The ability to design, build, and maintain management and statutory reports Degree or equivalent qualification in Data ...

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 ...

lead data analyst role within a data-rich or research-driven organisation Strong hands-on experience with data analysis, querying and modelling using SQL and analytical tools Proven experience building and maintaining BI dashboards and reporting solutions that are trusted and widely adoptedStrong statistical and analytical reasoning skills, with ...

consolidation, and management accounts Experience working across multiple countries or complex group structures Ability to design logical, scalable data models for finance reporting Strong SQL, Excel, and BI tool capability (Power BI, Tableau, or similar) Comfortable engaging with senior finance stakeholders, including CFOs Detail-driven, structured, and confident working with ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

provide you with access to the following courses to ensure you are 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 ...

disaster recovery plan. As a Senior C++ Software Engineer/Developer, you need to have: 7+ years of commercial software development experience using C++ SQL experience. Relevant degree in a numeric discipline, or equivalent work experience. Excellent written and spoken English. Added bonus if as the Senior C++ Software Engineer ...

with Python plus JavaScript Hands-on experience with AI-assisted development tools Experience building RESTful APIs using frameworks such as Flask or Django Strong SQL capability including PostgreSQL or MySQL plus experience with vector databases Experience working with microservices or serverless architectures Practical exposure to machine learning plus generative ...

/CD automation pipelines. Proficiency with Terraform and Docker. SOLID, KISS principles, decomposition principles, and resolving monolith vs. microservices trade-offs. Experience with SQL and NoSQL databases. Best practices in building scalable mobile APIs (REST, HTTPS, etc.). Good principles of security management (secrets, protocols, etc.). Experience with some ...

e.g. pandas, NumPy, scikit-learn; strong coding practices matter) Strong grasp of model evaluation, statistics, and experimentation Confident working with data at scale using SQL (and a practical approach to messy data) Curiosity, speed, and pride in quality—someone who enjoys digging into hard problems Strong communication skills and willingness ...

data extracts, schema discovery, incremental loads, and multiple source system instances Build transformation-heavy pipelines covering data profiling, cleansing, standardisation, conformance, and publishing Advanced SQL skills for data profiling, joins and merges, deduplication, anomaly detection, and performance tuning Strong scripting capability in Python for automation, parsing, rules engines, and data ...

Context Engineering (constructing prompts, managing context windows, evaluating behaviour). Engineering & Stack: Python: Expert level (Pandas, NumPy, Scikit-Learn). Data Engineering: Strong SQL skills and experience building data pipelines. Experience: Education: Degree in a quantitative field (Statistics, Mathematics, Computer Science, etc.). Industry: 2+ years of experience in Fintech ...

Deep understanding of cloud platforms (AWS/GCP/Azure), streaming technologies (Kafka, Pub/Sub), and data warehouses (Snowflake, BigQuery). Proficiency in SQL, a scripting language (Python/Node.js), and familiarity with infrastructure-as-code (Terraform/CloudFormation). Strong understanding of identity resolution, consent management, and enterprise ...

Data Engineer/Data Modeller. Strong expertise in data modelling (conceptual, logical, and physical). Experience designing data warehouses and data lake architectures. Strong SQL skills and understanding of relational and NoSQL databases. Experience with cloud data platforms (AWS, Azure, and/or GCP). Knowledge of data integration ...