1 to 25 of 948 SQL Jobs in London

SQL Engineer (Contract) Inside IR35 - Hybrid working (3 days onsite) Overview We are seeking an experienced SQL Engineer to support a large scale SQL Server and Windows Server migration programme. The role involves upgrading a significant estate from SQL Server 2016 and SQL Server 2019 to newer, supported versions. With … this position is critical for ensuring stability, compliance, and long term platform resilience. The ideal candidate will have strong hands on experience delivering complex SQL upgrade and migration projects, excellent analytical skills, and the ability to work in a structured programme environment. Key Responsibilities * Lead and execute migration activities across ...

within a regulatory driven environment. Key Responsibilities Design develop and maintain data integration pipelines Work extensively with ETL tools DataStage (required) Develop and optimise SQL queries PL SQL T SQL Perform data modelling and transformation Build and manage data marts Ensure data quality governance and compliance standards Support regulatory reporting … requirements Required Skills and Experience Strong hands on experience with DataStage (must have) Solid experience with Oracle and SQL Server databases Advanced SQL skills PL SQL T SQL Proven experience in ETL and data integration Experience within banking or financial services ideally regulatory reporting Strong understanding of data quality ...

Senior SQL Engineer - C# | SQL Server, Concurrent SQL environment | 25-Year Systematic Hedge Fund £120-160k circa + Bonus (up to 100%) City of London - on-site Our client, an algorithmic trading hedge fund with a 25-year track record in systematic trading, are hiring a Senior SQL Server … team and closely with the Chief Investment Strategist, with real ownership over how this part of the system develops. The stack is SQL Server, C# and .NET 9 on Windows VMs in Azure, but this isn’t your typical SQL role. There’s no heavy ETL or pipeline work. Instead ...

remote environment with a tech led company. Duties Design, develop, and maintain Oracle based applications and database solutions Write efficient, scalable and high-performance SQL and PL/SQL code Develop and integrate RESTful APIs to support modern application architectures Collaborate with architects, developers and consultants to translate requirements into … Contribute to system design, code reviews and best practice development Support deployment, testing and ongoing maintenance of applications Skills & Experience Required Oracle Database development (SQL/PL-SQL) SQL Server Experience designing and consuming RESTful APIs/REST API services Proficiency in at least two of the following programming languages ...

Strong hands-on experience with core AWS data services , including: AWS Glue Lambda S3 Redshift Strong programming skills in Python Solid working knowledge of SQL Experience with data warehouse and database technologies , including AWS Redshift and AWS RDS Experience designing or supporting AWS-based data lakes using S3 Proven experience ...

advanced analytics initiatives such as predictive modelling and fraud detection Skills & Experience Essential: Strong experience in data analysis, profiling, and data mapping Proficiency in SQL and/or Python Solid understanding of data modelling, normalization, and performance optimisation Experience with data governance, security, and regulatory compliance Hands-on experience with ...

including Power Query and DAX. - Strong experience in data modelling, ETL processes, and relational databases. - Solid understanding of data sources such as Oracle, SQL, and Dataverse. - Experience with C#, JavaScript, HTML5, and REST API. - Familiarity with Agile delivery, CI, and automation tools. - Knowledge of Azure services and Databricks ...

work, patents or conference presentations related to AI or data science in finance. Technical Skills Programming: Python (pandas, scikit‐learn, TensorFlow/PyTorch), R, SQL, Jupyter notebooks and version control (Git). Machine Learning: regression, classification, clustering, tree‐based models, neural networks, MLOps practices and model deployment. Data Platforms: relational ...

/data solutions to ensure visibility, accuracy, and integrity Collaborate with analysts, PMs, and operational teams to deliver features Skills & Experience: Strong Python and SQL skills Familiarity with Azure or AWS Some exposure to ML frameworks (e.g. scikit-learn, TensorFlow, or PyTorch) Background in data engineering, analytics engineering, or similar ...

ideally within the London Market ecosystem. Deep knowledge of underwriting, claims, delegated authority, pricing, and reinsurance. Hands-on expertise in Python, PySpark, Databricks, Snowflake, SQL . Experience with Azure, AWS, or GCP . Strong understanding of batch/streaming pipelines and data modelling. Familiarity with DevOps practices, CI/ ...

STEM field (Computer Science, Engineering, Maths, Physics). 2–4 years’ experience in a technical, data, or engineering-focused role. Strong skills in Python, SQL, and Excel/VBA . Experience building or maintaining ETL/data pipelines , particularly around APIs or FTP processes. Working knowledge of Microsoft Azure ...

experience with analytical tools such as Power BI and Azure Data Studio. • Strong data analysis skills with advanced Excel expertise. • Proven experience with SQL and Python. • Ability to translate large datasets into actionable insights. • Strong communication skills, with the ability to present data-driven findings to senior stakeholders. • Proficiency ...

Proficiency in languages such as Python or R, with strong knowledge of relevant libraries for data manipulation, scripting, and custom solution development. Experience with SQL for complex queries and data extraction. Cloud Architecture & Data Management: Strong understanding of cloud platforms (e.g., AWS, Google Cloud, Microsoft Azure) and their architecture. Knowledge ...

Required Skills & Experience Proven experience as a Data Engineer or in a similar role Strong hands-on experience with Snowflake data platform Proficiency in SQL and data modeling techniques Experience with ETL/ELT tools (e.g., dbt, Apache Airflow, Talend, Informatica) Experience with cloud platforms (AWS, Azure, or GCP) Familiarity ...

similar frameworks. Recent hands-on experience with some of the following tools and technologies: Data Visualization: Tableau, Power BI, QlikView, Looker Data Transformation & Querying: SQL, M Code, DAX, or similar Automation Languages: Python, Java, C#, R, or similar Automation Tools: Power Automate, UiPath, Blue Prism, Alteryx, Zapier Workflow Automation/ ...

Strong hands-on experience with Power BI including DAX and Power Query Solid understanding of data modelling ETL processes and relational databases Proficiency in SQL and working with large datasets Experience with Power BI Gateways and deployment pipelines Knowledge of data security governance and RLS Exposure to Azure Databricks Microsoft ...

accuracy, consistency, and security of data assets. Document data sources, definitions, and transformation rules. Required Skills Strong analytical and problem solving skills Proficiency in SQL and data querying Experience with data visualization tools (e.g. Power BI, Tableau) Understanding of data models and structured datasets Ability to communicate insights to both ...

continuously enhance system reliability and performance Required Experience Some experience building and operating production systems, ideally developed iteratively over time Strong proficiency in Python , SQL , and cloud platforms (preferably AWS) Experience with data pipelines and orchestration tools (e.g., Dagster) Experience working with analytical or data-intensive workloads Ability to work ...

qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours ...

qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours ...

documentation, and discoverability Enable decentralised data ownership while maintaining consistency Experience Proven experience as a Data Engineer in a modern cloud data environment Strong SQL skills (complex queries, joins, optimisation) Hands-on Python for data processing and pipeline development Experience with Microsoft Fabric and Power BI (datasets, semantic models) Understanding ...

complex, data-driven environment. Extensive experience and knowledge of the Lloyd’s or London Market data environment. Solid understanding of BI and data technologies (SQL, SSRS, Power BI) and relational database/reporting architectures. Excellent stakeholder engagement, communication, and problem-solving skills, with the ability to explain technical concepts ...

.* Proficiency in software engineering languages such as Python, Java, C#, JavaScript, and TypeScript.* Deep knowledge of data engineering languages and tools such as SQL, Spark, Scala, and Hadoop.* Strong background in agile and DevOps methodologies, practices, and technologies.* Proficiency with Azure DevOps, including CI/CD pipelines, automated testing ...

Analytics/AI Strong analytical skills with experience interpreting AI/ML outputs . Hands‐on experience with data analysis tools such as: Python, SQL, Excel BI tools (Power BI, Tableau, or similar) Familiarity with machine learning concepts , NLP, or LLM‐based solutions (hands‐on training not required, but practical ...

range of cloud data and integration services Proven track record designing and implementing enterprise-scale data lakes and data warehouse solutions Advanced skills in SQL and Python, with experience using distributed processing frameworks such as Spark Demonstrated experience building analytical data marts and applying dimensional modelling principles Hands-on experience ...