1 to 25 of 284 Permanent 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 ...

Spark, PySpark Strong data modelling skills (3NF, Kimball, Data Vault) Experience exposing Delta Lakehouse to Power BI or Tableau Skilled in Python, Scala or SQL for data engineering Experience building scalable ETL pipelines (Workflows, Delta Live Tables) Hands‐on experience with Azure, AWS or GCP (storage, compute, networking) Knowledge ...

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 ...

best‐practice engineering standards. Ensure governance, security, and compliance across all data assets. Essential Skills & Experience Strong experience with Python and/or SQL in a production environment. Hands-on experience with modern data engineering frameworks such as: Apache Spark, Databricks Airflow/Prefect/Dagster Kafka/EventHub/ ...

apply advanced data preparation, blending, refinement, and quality techniques (including big data). Experience applying intermediate statistics to business problems. Significant experience leveraging SQL and Python for data querying, collection, transformation, and analysis. Experience with data visualization tools such as Tableau and/or Power BI ; ability to design dashboards ...

/ACH message structures and transformations. Familiarity with message queues and event-driven systems (Kafka, JMS, RabbitMQ). Good understanding of database design (SQL/NoSQL) and experience with Oracle, PostgreSQL , or similar systems. Exposure to cloud environments (AWS, Azure, or GCP) and containerization tools ( Docker, Kubernetes ). Working knowledge ...

clients and internal teams on short to medium-term assignments. Skills & Experience Strong hands-on Data analytics skills with proficiency in key tools (e.g., SQL, Excel, Power BI, Tableau or similar) in the Financial Services sector. Proven experience in Data extraction, data cleansing, and ability to analyse large datasets. Design ...

experience 5+ years working in a marketing or related field as an analyst or senior analyst Experience of coding languages for analysis (Python & SQL preferred) Experience of platforms such as Salesforce Experience of developing wireframes and creating dashboards High level Microsoft Word, Excel and PPT skills Proven record of delivering ...

integrations and data structures. Must-Have Experience Strong hands‐on experience with APIs, REST, JSON . Experience with Azure and Microsoft data tools. Good SQL skills; some Python or R is a bonus. Familiarity with Swagger/OpenAPI or Postman . Understanding of data modelling, ETL concepts and system ...

experience in data or software engineering within financial services or a similar regulated industry. Strong full-stack experience with Python , Java (Spring Boot) , React , SQL, and relational databases. Hands-on experience with modern data engineering tools (e.g. Airflow, Spark, Kafka, dbt, Snowflake or similar). Experience with cloud platforms , containerisation ...

What We’re Looking For 🚀 Graduates up to 3 years’ experience in data science or analytics 🐍 Strong Python skills (pandas, numpy, scikit-learn) 🗄️ Solid SQL for data extraction and manipulation 📊 Experience with Tableau or Power BI is a bonus 🧠 Strong problem-solving and analytical thinking 🎤 Clear communication - able to explain ...

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 ...

Experience • Strong commercial experience with the Adobe ecosystem, including Adobe Analytics and Customer Journey Analytics. • Experience working with cloud platforms, ideally Microsoft Azure. • Solid SQL capability, including querying and managing datasets. • Hands‐on experience with tagging and tracking implementation is a plus • Data visualisation skills in Power BI, Looker ...

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 ...

learn, Matplotlib, Seaborn ). Basic understanding of supervised and unsupervised learning algorithms (e.g., regression, classification, clustering). Knowledge of data querying and manipulation using SQL . Familiarity with Jupyter Notebooks , Git , and version control workflows. Strong analytical thinking and problem-solving skills. Eagerness to learn, collaborate, and apply new technologies ...

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 ...

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 ...

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 ...