1 to 25 of 244 Permanent SQL Jobs in Central London

work with the following core technologies; however, it is not expected that they will have prior experience of them all: Programming: Python, JavaScript, TypeScript, SQL, C#, C++ Frameworks & Tools: FastAPI, Jupyter, JupyterHub, Voila, Power BI, GitHub, Vue, Nuxt AEC Platforms & Standards: Revit, Revit API, pyRevit, Rhino, Grasshopper ...

concepts and applied experience • Recent hands-on professional experience in a reporting, data analysis or business intelligence role • Experience in database querying techniques and SQL • Understanding of how to manage and optimize queries for large volumes of data within different kinds of data stores (including relational data stores) • Experience ...

Support stakeholders by delivering clean, accessible, and well-structured data · Research, prototype, and support implementation of AI solutions Requirements · Strong proficiency in Python and SQL · Experience with lakehouse/data platforms (Databricks, BigQuery) and building data pipelines/architectures (DBT, DLT) · Experience with batch and streaming ingestion (CDC, Kafka ...

production-level coding experience Experience building and deploying data services end-to-end Solid understanding of ETL and data engineering best practices Experience with SQL/NoSQL, APIs, and cloud platforms Familiarity with big data tools and MLOps concepts Strong communication, collaboration, and mentoring skills Main Tech Stack: Python ...

scheduled data builds. Strong understanding of data modelling, transformations, and downstream data consumption. Experience with performance tuning for backend services or data pipelines. Proficient SQL skills for data analysis, validation, and troubleshooting. Experience working with data warehouses, data lakes, or big data platforms(e.g., Snowflake, Redshift, BigQuery, Spark). Required ...

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 ...

Strong experience building and deploying machine learning and AI solutions in production. Hands‐on experience with: Python (PyTorch, TensorFlow, scikit‐learn) Data engineering tools (SQL, Spark, Airflow or similar) LLMs, NLP, and document intelligence (e.g. RAG, embeddings) Experience with cloud platforms (AWS, Azure, or GCP). Understanding of MLOps ...

driven workflows. Agentic frameworks in Python is a plus but not required Data and analytical skills Comfortable working with data, performing analysis, and writing SQL queries. Experience building simple data pipelines or transformation workflows is a plus. Exposure to ML Ops or production systems (nice to have) Familiarity with tools ...

with broad ownership across delivery Technical & Data Capability (Essential) Candidates must be able to demonstrate hands-on familiarity with data environments, including: Tools: Python, SQL, Tableau/Power BI (or similar) Data concepts: ETL pipelines, data modelling, reporting layers Metrics: Accuracy, latency, completeness, recall/precision (where relevant) Ability ...

ownership of data pipelines and automation of data workflows. Finally have 5 years Strong programming experience at an advanced level in Python, PySpark, and SQL scripting. Benefits Salary: 50,000 - 65,000 per annum 25 day's holiday Company car/Allowance Variable annual bonus based 5-15% Pension Plan ...

experience working alongside dashboard developers or data designers is a plus. A strong proficiency in data analysis tools and techniques, such as Excel, SQL, Python, R, Power BI, or Tableau, is essential. Please note : Due to the specific sectors we work in, only candidates with valid work experience ...

emerging technologies, including AI-driven analytics What We're Looking For Essential: Strong experience delivering BI and reporting solutions (Power BI or similar) Solid SQL skills and experience working with structured data Proven ability in data modelling and transformation Strong analytical mindset with the ability to identify trends and insights ...

3+ years’ experience as an Analytics Engineer, BI Engineer, or similar Strong hands-on experience with dbt (modelling, incremental models, macros, testing, documentation) Advanced SQL skills and solid understanding of analytical data modelling (Kimball, Star schema, etc.) Experience working with Snowflake or similar cloud data warehouses, including query optimisation Experience ...

Experience with access control and intrusion detection systems. Familiarity with virtualization technologies (e.g., VMware, Hyper-V). Knowledge of database systems (e.g., PostgreSQL, MS SQL). Relevant industry certifications (e.g., CompTIA Network+, Security+, CCNA). Experience providing technical training to end-users. Required Qualifications: Experience: 3+ years in a technical ...

manual data and reporting tasks Improve efficiency and reliability of data workflows Support initiatives that advance the organisation’s data maturity Experience Required Strong SQL and relational database experience Hands‐on experience with ETL/ELT and API integrations Proficiency with BI tools (Power BI, Metabase, etc.) Experience working with ...

data platforms and working with cloud technologies such as Microsoft Azure Good grounding in programming and data engineering languages and frameworks such as Python, SQL, Microsoft Fabric and Databricks Certifications in relevant cloud and data technologies (Azure etc.) would be beneficial Excellent communication skills and the ability to inspire confidence ...

distributed systems, parallel computing, and high-performance processing of large datasets. Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/NoSQL databases. Proven experience working in fast-paced environments, ideally within trading, financial services, or high-frequency environments. Proficiency in developing RESTful APIs, microservices ...

technical AI capabilities with business value Interest in emerging tools and platforms (e.g. Microsoft Copilot, OpenAI, automation platforms). Technical Capability (Desirable, not essential) SQL or equivalent data querying capability Experience with data pipelines or integration tools Familiarity with cloud platforms (Azure preferred) Exposure to APIs and system integrations. What ...

data scientist in a commercial setting, with a proven track record of delivering commercial value through data science initiatives. Excellent Python and SQL skills. Solid understanding of statistical modelling and machine learning algorithms, and experience deploying and managing models in production. Data engineering skills, with the ability to manipulate ...

3+ years experience across BI, data warehousing, data management, ETL and database technologies Strong hands-on experience building and optimising data pipelines using Python, SQL, Apache Spark, and Microsoft SSIS Proven ability to design, deliver and maintain scalable data solutions across data warehouses and Big Data Lakes, supporting both ...

Technology or any related field. • Strong programming skills in an OOP Language: Python or C#, Java, or C++ • Demonstrated experience with database management, including SQL or NoSQL systems. • Demonstrated ability to work effectively both independently and in a team • Excellent problem-solving skills and a strong attention to detail • Strong ...

reference data, or instrument master management * Apache Spark or Flink for large-scale stream and batch processing beyond the Databricks ecosystem * dbt or equivalent SQL transformation layer; experience building and maintaining dbt projects in a production data warehouse * Event streaming with Kafka or Confluent Platform - topic design, consumer group management ...

technical stakeholders Strong analytical mindset with attention to detail with exposure to modern data science platforms and tools (e.g. Snowflake, Databricks, cloud data warehouses, SQL, Python, Tableau, Power BI) Comfortable working in a fast-growing, scale-up environment Result-oriented with high commitment, resilience and professionalism Experience with financial markets ...

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 ...