1 to 25 of 288 SQL Jobs in Central London

ensure security protocols (encryption/authentication) are met. Technical Toolkit Languages: Proficiency in Python, R, or Java/Scala. Databases: Experience across Relational (SQL), NoSQL (MongoDB/Cassandra), and Graph (Neo4j). Big Data: Hands-on experience with Hadoop or Spark. Infrastructure: Comfortable with Linux/Bash, Docker, and Cloud ...

Data Engineer in a modern cloud environment. Strong expertise in Azure data services (ADLS, Azure Data Factory, Microsoft Fabric). Proficient in SQL and data modelling. Experience with API integration and SFTP data feeds. Excellent communication skills for engaging non-technical stakeholders. Desirable Background in financial services or fintech. Familiarity ...

historical data. • Strong Experience in BI reporting tools (Looker, PowerBI and Tableau) • In-depth knowledge of Google Cloud Platform (GCP) services, particularly Cloud SQL, Postgres, Alloy DB, BigQuery, Looker Vertex AI and Gemini (GenAI), Agentic AI • Strong knowledge and experience in best practices for data governance, security, and compliance • Exposure ...

/perf tradeoffs). · Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats · Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). · Unstructured data & AI/RAG: Understanding ...

field with 3-6 years of relevant experience. Prior experience in media, aviation, or digital platforms is highly advantageous. Technical Skills: Proficiency in Python, SQL, and BI tools such as Tableau or Power BI. Experience with data pipelines, ETL processes, and familiarity with cloud environments is preferred. Business Development & Analytics ...

front-end components for data tools. Required Skills & Experience Proven experience as a Data Engineer , BI Engineer , or similar role. Strong proficiency in SQL , Python , and modern data engineering frameworks (e.g., Airflow, dbt, Spark, etc.). Experience with cloud platforms such as AWS, Azure, or GCP. Solid understanding of data ...

performance. Collaborate with architects, analysts, and DevOps. Maintain documentation, lineage, governance standards. Required Skills/Experience The ideal candidate will have the following: Strong SQL; Snowflake ELT; dbt experience. Python/PySpark, ETL/ELT design. Data Vault 2.0 or dimensional modeling. AWS services (S3, Glue, Lambda, Redshift ...

frameworks across projects Technical Skills & Experience Advanced Power BI development experience (Desktop & Service) Strong knowledge of DAX and Power Query (M language) Proficiency in SQL and relational databases Experience working with construction, rail, or civil engineering datasets Understanding of: Project controls processes Earned Value Management principles Programme performance metrics Commercial ...

innovation, continuous improvement, and collaboration. Are we the perfect match? Experience working with Marketing data Extensive experience as a Senior Data Analyst, with advanced SQL and Python skills, along with expertise in advanced analytics techniques such as modelling, segmentation, and predictive analysis. Strong analytical skills with a passion for problem ...

personal data, with previous systems support experience being an advantage Proficient in Microsoft Excel and Word, with desirable skills in Power BI, advanced SQL, VBA, and experience with Altair/Axise (Heywood) pension administration systems. Analytical, detail-oriented, highly numerate, and able to work independently in a primarily home-based ...

Cloud : Azure (incl. Azure AI, OpenAI, Cognitive Services ), AWS (Bedrock/SageMaker), GCP (Vertex AI); containerization (Docker/Kubernetes) and service meshes. Data & Integration : SQL, NoSQL, data warehousing concepts (fact/dimension, SCD), ETL/ELT, streaming (Kafka/Event Hubs), API design, and secure integration (OAuth2/JWT/ ...

background 4 years or more experience across full stack data including ETL, modelling, analytics and predictive systems Strong Python for ETLs and analysis Strong SQL and dbt experience Experience building from scratch in a startup or a strong desire to do so Comfortable using AI coding tools daily Ability ...

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 hands-on architectural work, contributing directly to customer success and revenue growth. Key Skills & Experience Azure Data & AI Services - Data Factory, Synapse, Azure SQL, Storage, Power BI, Fabric. AI & Machine Learning - generative AI, cognitive services, ML engineering, responsible AI. Modern Data Architecture - lakehouse, data mesh, ELT/ ...

mesh, data fabric, data warehouse and lake-house concepts and when they do (and don't) apply. Hands-On Technical Depth Working knowledge of SQL at an advanced level; comfortable writing, reviewing, and optimising complex queries and DDL. Practical experience with at least one major cloud data platform (Azure Synapse ...

analytics and visualization tools, including Looker and Tableau; and Omniture, GWI, Sprinklr (social listening), XM Discover (sentiment analysis), and Google Analytics is a plus SQL and Power BI knowledge a plus Experience working within a data-driven, highly analytical culture where insights encourage decisions, ideas, and strategy Worked optimally ...

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 ...

engineering fundamentals combined with demonstrable semantic and ontology experience: 5–8 years’ experience in data engineering, data platform development or data-intensive systems Strong SQL and Python for scalable data transformations and services Experience with at least one major cloud platform (AWS, Azure or GCP) Hands-on experience with semantic ...

teams to deliver high‐quality, actionable analytics insights. • Becoming increasingly client‐facing with structured upskilling provided. Your Skills and Experience • Strong commercial experience with SQL and cloud‐based data warehousing, ideally BigQuery. • Hands‐on exposure to GA4 or Adobe Analytics, plus general web analytics understanding. • Practical experience with tagging ...

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 ...

Azure) Experience with containerisation and orchestration (Docker, Kubernetes) Experience with CI/CD pipelines and DevOps practices Strong understanding of databases and data pipelines (SQL, NoSQL, ETL systems) Experience working with large-scale datasets ...

Playwright Strong understanding of CI/CD pipelines (azure DevOps nice to have) Strong API testing experience (and ideally automating API's) Experience with SQL querying Previous experience within financial services (asset management highly desirable) WPF experience is a nice to have Any ETL and Data Warehousing testing experience nice ...

commercially relevant way. Your Skills and Experience • Strong commercial experience working on pricing analytics projects in a fast-paced environment • Proficient in SQL with confidence working across large datasets. • Experience with BI and visualisation tools such as Tableau, Power BI or Looker. • Statistical Analysis experience is needed (regression modelling, clustering ...

learn Degree in computer science, data science, maths, engineering or similar Strong understanding of machine learning models and model appropriateness, probability and statistics Strong SQL skills essential , Git version control essential Visualisation; PowerBI desirable or alternatively experience with other tools (e.g. Tableau, Qlik, etc) and willingness and ability to learn ...