26 to 50 of 1,414 SQL Jobs in London

enterprise grade data solutions Strong hands-on experience with Snowflake (or comparable cloud data warehouses like BigQuery, RedShift, Synapse) including data modelling, performance tuning and cost management Familiarity with SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one programming language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or More ❯

to use advanced Power BI skills to develop reports and dashboards for operational and executive insights. Experience interpreting requirements and advising best approach to achieve desired outcomes. Experience using SQL, DAX and Power Query to extract, transform and load data. Advanced Excel skills to support data analysis and manipulation. Experience using a range of project management, portfolio management and digital More ❯

is hands-on and collaborative, offering the chance to make tangible impact across data quality, scalability, and reliability. Requirements 5+ years' experience in Data Engineering with strong Python and SQL skills. Background in building and maintaining ETL/ELT pipelines in a cloud environment (AWS or Azure). Knowledge of data warehousing (e.g., Redshift, Postgres) and tools like DBT . More ❯

quality Test, monitor, and optimise pipelines for accuracy and performance What You'll Bring 3 to 5 years of experience in data engineering, data warehousing, or analytics engineering Strong SQL and Python skills with hands-on experience in PySpark Exposure to Azure Databricks, Microsoft Fabric, or similar cloud data platforms Understanding of Delta Lake, Git, and CI/CD workflows More ❯

the firm's audit analytics capabilities. Requirements: Degree in Computer Science or a related field. Proficiency in Microsoft PowerApps, Power BI, and VBA. Proven experience in computer programming (e.g. SQL, Python) and data manipulation Understanding of data visualisation and storytelling within an audit or financial context. Familiarity with external audit methodologies and professional standards Strong analytical and problem-solving skills More ❯

experience in a Data Analyst or similar technical role. Strong hands-on experience with RESTful API design , documentation (Swagger/OpenAPI), and testing tools (e.g. Postman). Proficiency in SQL and scripting languages such as Python or R . Solid understanding of data modelling, ETL processes , and system integration . Experience working with Azure and Microsoft data tools including Power More ❯

Data Science, Computer Science, Information Systems, or other equivalent Experienced in data analysis, BI, or a related area Familiarity with BI tools (e.g. Tableau, Power BI, Looker) and basic SQL for data querying Proficiency in Microsoft Excel for data manipulation and reporting Solid ability to analyse and interpret data, with keen attention to detail Basic experience with data modelling Exposure More ❯

Node.js, and in event-driven and eventual consistency systems using Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life outside work as how More ❯

major advantage. Advanced proficiency in Python for data science and machine learning applications. Familiarity with cloud-based infrastructure, preferably Azure. Expertise with Data Warehousing/Data Lakes. Proficiency in SQL for data extraction and analysis. Strong experience with data visualization tools such as PowerBI and Tableau. Understanding Java is a plus. Desired Behaviors Independence: Ability to solve complex problems independently More ❯

including dimensional data modelling, the identification of dimensions, facts, measures and hierarchies. Advanced experience developing analytics using Microsoft Power BI and/or other data visualisation tools. Proficiency in SQL and, preferably, Python. Experience in team and resource management. You'll be able to be yourself; we'll recognise and value you for who you are and celebrate and reward More ❯

Snowflake, including data modeling, warehousing, and performance optimization. Hands-on experience with ETL tools (e.g., Apache Airflow, dbt, Fivetran) and integrating data from ERP systems like NetSuite. Proficiency in SQL, Python, and/or other scripting languages for data processing and automation. Familiarity with LLM integrations (e.g., for natural language querying) and dashboarding tools like Omni or similar (e.g., Tableau More ❯

data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, SQL. Experience performing tasks such as writing scripts, extracting data using APIs, writing SQL queries etc. Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources through ingestion and curation functions on AWS cloud using AWS native or More ❯

objectives and KPIs, and ensuring timely corrective action when required. Requirements – Essential/Desirable Proven experience as a BI Lead overseeing development and rollout of BI tools (Essential) Strong SQL proficiency with experience in data modelling, integration, and ETL processes (Essential) Understanding of Microsoft Azure data storage and analytics (Essential) Extensive Power BI experience including reports, dashboards, DAX, and Power More ❯

objectives and KPIs, and ensuring timely corrective action when required. Requirements – Essential/Desirable Proven experience as a BI Lead overseeing development and rollout of BI tools (Essential) Strong SQL proficiency with experience in data modelling, integration, and ETL processes (Essential) Understanding of Microsoft Azure data storage and analytics (Essential) Extensive Power BI experience including reports, dashboards, DAX, and Power More ❯

essential Have an Advanced degree in Statistics, Computer Science, Mathematics or a related field or relevant industry industry experience Have knowledge of programming and data manipulation skills such as SQL and Python, and version control (Github) is essential Experience building multi-step ETL jobs/data pipelines and working with job scheduling systems is a plus Demonstrated ability to thrive More ❯

analysts and stakeholders to translate business needs into technical solutions. Maintain clear documentation and contribute to internal best practices. Requirements Strong hands-on experience with PySpark (RDDs, DataFrames, Spark SQL). Proven ability to build and optimise ETL pipelines and dataflows. Familiar with Microsoft Fabric or similar lakehouse/data platform environments. Experience with Git, CI/CD pipelines, and More ❯

Familiarity with Agile & DevOps ways of working Familiarity with and experience of using UNIX Knowledge of CI toolsets Good client facing skills and problem solving aptitude DevOps knowledge of SQL Oracle DB Postgres ActiveMQ Zabbix Ambari Hadoop Jira Confluence BitBucket ActiviBPM Oracle SOA Azure SQLServer IIS AWS Grafana Oracle BPM Jenkins Puppet CI and other cloud technologies. Your Skills: Excellent More ❯

and optimisation. Familiarity with derivatives pricing, risk metrics, and financial instruments across asset classes. Experience building low-latency systems and optimising performance for computational workloads. Proficient in working with SQL and managing large financial datasets. Knowledge of cloud platforms (Azure, AWS) and DevOps tools (Git, CI/CD) desirable. Excellent problem-solving and analytical skills, with a keen attention to More ❯

platforms such as Tableau, Power BI, QlikView, or Domo. Preferred Qualifications Experience in sales operations or go-to-market strategy analytics. Knowledge of CRM systems like Salesforce. Familiarity with SQL, Python, or R for data manipulation and analysis. Experience working in a large-scale enterprise environment with cross-functional global teams. People Source Consulting Ltd is acting as an Employment More ❯

in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice, and modern development workflows. Excellent communication and interpersonal skills — able to influence, advise, and collaborate effectively. Evidence More ❯

in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice, and modern development workflows. Excellent communication and interpersonal skills — able to influence, advise, and collaborate effectively. Evidence More ❯

to manage and mitigate cyber risks. About you: A deep knowledge and understanding of Cyber accumulations and experience with cyber catastrophe models (CyberCube, Moody’s RMS, Guidewire). Advanced SQL and excel skills. Familiarity with Power BI and Python an advantage. Excellent analytical and problem-solving skills, with a keen attention to detail. Current knowledge of compliance, regulatory and statutory More ❯

a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity Experience designing with scalable and highly available distributed systems in the cloud and on More ❯

enterprise technologies Requirements Microsoft Dynamics 365 F&O certifications (e.g., Dynamics 365 Finance and Operations Core, Dynamics 365 Finance, Dynamics 365 Supply Chain Management). Proficiency in X , C#, SQL, and other relevant technologies. Deep understanding of Dynamics AX/D365 F&O and its ecosystem Experience managing or participating in Dynamics 365 F&O projects from initiation through deployment. More ❯

like Tableau, Sigma Qlik, Domo, Power BI, Looker, or equivalent Strong understanding of UX/UI principles and visual storytelling through data Working knowledge of creating data connections - e.g. SQL and relational databases, DataBricks, JSON files, API services, Data Lakes Meticulous attention to detail with a user-first mindset Excellent communication and collaboration skills across technical and non-technical teams More ❯