876 to 900 of 2,942 SQL Jobs in London

experience in London Insurance Market regulatory reporting. Proven track record in product ownership or data leadership, with hands-on delivery of data solutions. Technical fluency in Power BI, Qlik, SQL, and data management platforms. Strong communication and influencing skills, comfortable engaging with senior leadership and regulators. A passion for driving transformation through data quality, automation, and innovation. Why it’s More ❯

environment that values collaboration, learning, and innovation What we're looking for Hands-on experience with the Azure Data Engineering stack (ADF, Databricks, Synapse, Data Lake) Strong skills in SQL and Python (PySpark experience is a bonus) Experience building and optimising ETL/ELT pipelines A background in Financial Services is a plus, but not essential A curious mindset and More ❯

experience in London Insurance Market regulatory reporting. Proven track record in product ownership or data leadership, with hands-on delivery of data solutions. Technical fluency in Power BI, Qlik, SQL, and data management platforms. Strong communication and influencing skills, comfortable engaging with senior leadership and regulators. A passion for driving transformation through data quality, automation, and innovation. Why it’s More ❯

on brand performance, customer engagement, and operational efficiency. Contribute to ongoing platform development and performance tracking. Skills and Experience Required 2+ years’ experience in data or analytics engineering. Strong SQL and Python skills. Experience with GCP ( Cloud Run , DataForm ), Mage OR Airflow. BI/visualisation experience (any modern tool). STEM university degree. Comfortable in a fast-paced, hands-on More ❯

experience in London Insurance Market regulatory reporting. Proven track record in product ownership or data leadership, with hands-on delivery of data solutions. Technical fluency in Power BI, Qlik, SQL, and data management platforms. Strong communication and influencing skills, comfortable engaging with senior leadership and regulators. A passion for driving transformation through data quality, automation, and innovation. Why it’s More ❯

on brand performance, customer engagement, and operational efficiency. Contribute to ongoing platform development and performance tracking. Skills and Experience Required 2+ years’ experience in data or analytics engineering. Strong SQL and Python skills. Experience with GCP ( Cloud Run , DataForm ), Mage OR Airflow. BI/visualisation experience (any modern tool). STEM university degree. Comfortable in a fast-paced, hands-on More ❯

Claude, Gemini, Mistral, LLaMA, Cohere Frameworks: LangChain, LlamaIndex, Haystack Tools: GitHub Copilot, Cursor, PromptLayer, Weights & Biases Cloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks Infra: Python, Docker, Kubernetes, SQL, PyTorch More ❯

and non-technical stakeholders, influencing strategy and operational improvements. What You'll Bring: Experience in Data Analytics or Data Science, ideally in Customer Success, Operations or Digital Team. Strong SQL skills and experience with dashboarding tools such as Tableau. Familiarity with Snowflake, Databricks, Spark, and ETL processes. Python or automation is a plus. Knowledge of A/B testing and More ❯

deliver targeted campaigns and recommendations. Present insight to senior stakeholders to influence strategic decision-making. YOUR SKILLS AND EXPERIENCE: Strong background in customer insight, retention or loyalty analytics. Advanced SQL skills, plus experience with Looker, Power BI or Tableau. Excellent communication and stakeholder management ability. A data-driven mindset with a passion for improving the customer experience. Desirable: Experience working More ❯

cross-functional teams to enable smarter use of data across digital and physical channels. Lead, mentor, and grow a high-performing data team. Tech Stack GCP | Power BI | Omni | SQL | Python | DBT | Docker Your Background Proven experience leading data teams across engineering, analytics, and BI. Strong technical understanding of modern data platforms and pipelines. Skilled in stakeholder management, governance, and More ❯

cross-functional teams to enable smarter use of data across digital and physical channels. Lead, mentor, and grow a high-performing data team. Tech Stack GCP | Power BI | Omni | SQL | Python | DBT | Docker Your Background Proven experience leading data teams across engineering, analytics, and BI. Strong technical understanding of modern data platforms and pipelines. Skilled in stakeholder management, governance, and More ❯

cross-functional teams to enable smarter use of data across digital and physical channels. Lead, mentor, and grow a high-performing data team. Tech Stack GCP | Power BI | Omni | SQL | Python | DBT | Docker Your Background Proven experience leading data teams across engineering, analytics, and BI. Strong technical understanding of modern data platforms and pipelines. Skilled in stakeholder management, governance, and More ❯

a hands-on role offering real ownership and the chance to see your analysis directly impact growth and performance. YOUR SKILLS AND EXPERIENCE The ideal candidate will have: Strong SQL and Python skills Experience in forecasting, regression, or time series modelling Experience working across multiple stakeholder groups, such as operations, marketing, finance, energy Strong communication skills with the ability to More ❯

cross-functional teams to enable smarter use of data across digital and physical channels. Lead, mentor, and grow a high-performing data team. Tech Stack GCP | Power BI | Omni | SQL | Python | DBT | Docker Your Background Proven experience leading data teams across engineering, analytics, and BI. Strong technical understanding of modern data platforms and pipelines. Skilled in stakeholder management, governance, and More ❯

Tensorflow/Pytroch Deploying ML models Good command of Python and use of libraries for data science – scikit-learn, NumPy, matplotlib Relation database experience with data manipulation skills in SQL and large “Big Data” environments. Command knowledge in Python and API Development Excellent grasp of software Engineering practices – Object Orientated Programming, GIT, AWS) CI/CD practices NoSQL Databases Candidates More ❯

cross-functional teams to enable smarter use of data across digital and physical channels. Lead, mentor, and grow a high-performing data team. Tech Stack GCP | Power BI | Omni | SQL | Python | DBT | Docker Your Background Proven experience leading data teams across engineering, analytics, and BI. Strong technical understanding of modern data platforms and pipelines. Skilled in stakeholder management, governance, and More ❯

Tensorflow/Pytroch Deploying ML models Good command of Python and use of libraries for data science – scikit-learn, NumPy, matplotlib Relation database experience with data manipulation skills in SQL and large “Big Data” environments. Command knowledge in Python and API Development Excellent grasp of software Engineering practices – Object Orientated Programming, GIT, AWS) CI/CD practices NoSQL Databases Candidates More ❯

Tensorflow/Pytroch Deploying ML models Good command of Python and use of libraries for data science – scikit-learn, NumPy, matplotlib Relation database experience with data manipulation skills in SQL and large “Big Data” environments. Command knowledge in Python and API Development Excellent grasp of software Engineering practices – Object Orientated Programming, GIT, AWS) CI/CD practices NoSQL Databases Candidates More ❯

Tensorflow/Pytroch Deploying ML models Good command of Python and use of libraries for data science – scikit-learn, NumPy, matplotlib Relation database experience with data manipulation skills in SQL and large “Big Data” environments. Command knowledge in Python and API Development Excellent grasp of software Engineering practices – Object Orientated Programming, GIT, AWS) CI/CD practices NoSQL Databases Candidates More ❯

full spectrum of data analysis, from high-level models down to individual fields. Essential Requirements Demonstrated experience in data analysis within an IT or technical environment. Strong proficiency in SQL and scripting languages including Python or R. Practical experience with RESTful API design, documentation (e.g. Swagger/OpenAPI), and testing tools (e.g. Postman). Working knowledge of cloud platforms (primarily More ❯

full spectrum of data analysis, from high-level models down to individual fields. Essential Requirements Demonstrated experience in data analysis within an IT or technical environment. Strong proficiency in SQL and scripting languages including Python or R. Practical experience with RESTful API design, documentation (e.g. Swagger/OpenAPI), and testing tools (e.g. Postman). Working knowledge of cloud platforms (primarily More ❯

full spectrum of data analysis, from high-level models down to individual fields. Essential Requirements Demonstrated experience in data analysis within an IT or technical environment. Strong proficiency in SQL and scripting languages including Python or R. Practical experience with RESTful API design, documentation (e.g. Swagger/OpenAPI), and testing tools (e.g. Postman). Working knowledge of cloud platforms (primarily More ❯

full spectrum of data analysis, from high-level models down to individual fields. Essential Requirements Demonstrated experience in data analysis within an IT or technical environment. Strong proficiency in SQL and scripting languages including Python or R. Practical experience with RESTful API design, documentation (e.g. Swagger/OpenAPI), and testing tools (e.g. Postman). Working knowledge of cloud platforms (primarily More ❯

AWS, Azure), data pipelines, and AI/ML technologies. Confident communicator, able to work collaboratively and adapt in a fast-paced environment. Comfortable working with data – familiarity with Python, SQL, or data tools is a plus. Bonus: Knowledge of AI ethics, data privacy, cybersecurity, or relevant industry frameworks (e.g. ISO 27001, NIST, etc.). Location: London Should you not be More ❯

AWS, Azure), data pipelines, and AI/ML technologies. Confident communicator, able to work collaboratively and adapt in a fast-paced environment. Comfortable working with data – familiarity with Python, SQL, or data tools is a plus. Bonus: Knowledge of AI ethics, data privacy, cybersecurity, or relevant industry frameworks (e.g. ISO 27001, NIST, etc.). Location: London Should you not be More ❯