201 to 225 of 3,931 SQL Jobs in London

join a collaborative, forward‐looking team where your ideas are heard and your growth is championed. Work with a modern tech stack including Python, SQL, Shell scripting, Talend, XSLT, XML, CSV, JSON, RDF, RDBMS, NoSQL, and graph databases. You’ll help design and build scalable data pipelines, automate data processing … Looking For Strong experience in large‐scale data analysis and manipulation using relevant programming languages and tools (e.g. Python, Shell scripting, SQL, XSLT). Solid understanding of data formats (XML, CSV, JSON, RDF) and database technologies (RDBMS, NoSQL, graph databases). Excellent analytical, problem‐solving, and communication skills. Ability ...

with industry-standard forensic applications and tools such as EnCase, FTK, Nuix, Relativity, Reveal, Cellebrite, Magnet Axiom and Magnet Verakey. Experience with databases, particularly SQL programming and design of relational databases. Exposure to programming, e.g., industry experience or a significant implementation project at university. Strong independent analytical and problem-solving … enhance investigation processes. Exposure to archiving, logging, and digital vault systems, e.g., Mimecast. Data visualisation experience, for example PowerBI. Scripting language experience, particularly SQL and Python. Exposure to Object Oriented programming, particularly C#, C++ or Java. What we offer you At EY,we’ll develop you with future-focusedskills ...

lean, high-performance teams, taking ownership and initiative Experience with, or strong interest in developing capabilities in: Excel and PowerPoint, Tableau or Power BI, SQL, Python, or Alteryx Beneficial if you have A grounding in data science or AI. Experience working in a global delivery model. Foreign language skills (German ...

Science/Engineering, or equivalent experience. 2-5+ years of relevant professional experience building and deploying data solutions. Strong proficiency in Python and SQL for data engineering and experience writing robust, production-grade code, including deploying code across environments. Proven experience building end-to-end data pipelines and platforms ...

literacy, conversant with Microsoft Office 365 applications, Excel (VBA is a plus). Knowledge of data, databases and statistical systems a plus; Knowledge of SQL with the ability to query, extract, manipulate, and validate data from large datasets is desirable and knowledge of reporting tools such as Tableau, Power ...

review of spread sheet based financial models (using Microsoft Excel) or proven expertise in data analytics (including Power BI (Dax/Power Query), Python, SQL, Alteryx, Tableau). Commitment to clear, structured financial and data modelling techniques. Excellent analytical and communication skills and be able to articulate clearly, confidently ...

performance. You'll be trusted to lead complex database initiatives, optimize critical systems, and help shape the future of our Microsoft data ecosystem, including SQL Server, Power BI, and Microsoft Fabric. If you're motivated by solving complex technical challenges, improving business-critical platforms, and transforming data into meaningful insights … love to hear from you. What Your Impact Is In this role, you will: Ensure the availability, performance, and stability of ERM's core SQL database environment and business intelligence platforms. Support and optimize critical business systems, including ERM's finance platform and enterprise-wide reporting solutions. Enable data-driven ...

actionable insights to stakeholders* Collaborate with cross-functional teams to understand business requirements* Perform data validation and ensure data accuracy and consistency* Write complex SQL queries to extract and manipulate data* Automate data processes and improve reporting efficiency* Support business decisions with data-driven recommendations**Required Skills:*** Strong knowledge … SQL and database management* Proficiency in Excel (advanced formulas, pivot tables)* Experience with data visualization tools (Power BI/Tableau)* Basic knowledge of Python or R for data analysis* Understanding of statistics and data modeling concepts* Strong analytical and problem-solving skills* Excellent communication and presentation skills #J-18808-Ljbffr ...

role We are looking for a hands-on Senior Data Architect who is equally comfortable designing the target state for a multi-system SQL data estate, writing and tuning the T-SQL that delivers it, and standing up the security, monitoring and operational practices that keep it running. You will … warehouse and data lake to a modern dimensional model, finish the rollout of a principle-of-least-privilege security model across a multi-server SQL estate, and continue the migration of our reporting estate from SSRS to Power BI. You will set the technical direction for the data team ...

systems that support advanced analytical and trading capabilities. What You'll Do Design, implement, and maintain end-to-end ETL workflows in Python and SQL to ingest and transform commodities data from multiple vendor and internal sources. Build and maintain standardized data models, schemas, and metadata that make commodities datasets … What You Bring 5+ years of experience in data engineering, analytics engineering, or a similar role building and maintaining ETL pipelines. Strong Python and SQL skills, including experience working with large datasets and complex data transformations. Hands-on experience with Airflow or comparable workflow orchestration tools. Experience with ...

Snowflake sandpit. You will manage and optimise the environment, loading, transforming and extracting data, building scalable models and pipelines using dbt and SQL, and applying IG-compliant security roles so the right people have safe access to the right data. You will create and maintain our portfolio of BI outputs … Highly developed specialist knowledge and significant experience in analytics engineering, data engineering, or a similar role Highly developed specialist knowledge and significant experience in SQL and at least one statistical programming language (e.g., Python, R) Experience working with cloud data platforms (eg Snowflake) Experience of co-ordinating projects in complex ...

/ELT pipelines that move data from source systems and royalty statement feeds into Snowflake, via AWS S3 and Athena. Write and troubleshoot SQL and Python-based transformations to process royalty and usage datasets, developing a growing focus on performance and efficiency over time. Build, maintain and iterate on dashboards … technical stakeholders. Qualifications 2 years' experience in an analytics engineering, data analyst, or database-adjacent role, ideally within music, media or entertainment. Strong SQL skills, including joins, aggregations and window functions; some exposure to query optimisation and schema definition (DDL, dbt) is a plus. Experience interacting with cloud data warehouses ...

self-service analytics for partners through well-designed reporting tools. Data Management & Tooling Work with large-scale datasets using modern platforms (e.g., Databricks, Spark, SQL-based systems). Ensure high standards for data quality, metric consistency, and instrumentation reliability. Collaborate with engineering to improve logging, tracking, and observability of search … Statistics, Computer Science, or a related field (or equivalent practical experience). Significant experience in data analysis, business intelligence, or analytics roles. Proficiency in SQL and Python for large-scale data analysis. Advanced experience with data visualization and BI tools (e.g., Tableau, Power BI, Looker, matplotlib, seaborn). Experience working ...

enhance business outcomes in financial services Требования: 7+ Years of experience in Data Engineering, AI Engineering, or Machine Learning platforms Strong expertise in Python, SQL, GenAI frameworks, cloud platforms, and distributed data processing Proven experience delivering AI/Data solutions within Banking, Capital Markets, Insurance, FinTech, or regulated financial environments … collaborating in Agile/Scrum delivery environments Strong understanding of Generative AI, LLMs, RAG architectures, embeddings, and vector databases Hands-on expertise in Python, SQL, Spark/PySpark, Databricks, and cloud-native data platforms Experience building and deploying APIs, microservices, and cloud-based AI applications Knowledge of MLOps, CI/ ...

deriving insights and patterns from big data using statistical methods and processes. Proficiency in data science-related languages such as Python, R, Matplotlib, MATLAB, SQL, and C/C++, and experience in spatial data processing and management with a strong emphasis on developing SQL scripts or development of SQL code. … GRASS, scikit-learn, TensorFlow for geospatial data analysis. Demonstrable experience in developing, setting up and configuring spatial databases such as PostgreSQL/PostGIS, MS SQL Spatial and any other big data platform like MongoDB. Sufficient understanding of Vector Databases for the implementation of AI modules and techniques. Experience in geospatial ...

production environments Hands‐on experience integrating AI or ML models, LLM APIs, or automation frameworks into applications Strong knowledge of database systems including SQL, NoSQL, and data storage patterns for AI applications Familiarity with cloud platforms such as AWS and Azure, and containerization technologies including Docker and Kubernetes Understanding ...

than a model. Deepexpertisein dimensional data modelling, schemadesignand semantic layer architecture; able to articulate and defend the trade-offs between competing modelling approaches. Expert SQL; strong Python for analysis and validation. Practical experience of the Microsoft data stack — Fabric, Synapse, Power BI semantic models, and ideally Azure AI Foundry. Demonstrable ...

testing, and structured governance. Strong domain understanding of Capital Markets data and reporting expectations (front-to-back awareness is a plus). Proficiency in SQL (advanced querying, performance tuning, reconciliation logic). Strong proficiency in Python for data analysis and automation (pandas, validation frameworks, scripting). Experience supporting or validating … outputs such as Tableau dashboards (data validation, extract refresh checks, reconciliation to source). Nice-to-Have Experience with tools such as PySpark, Spark SQL, Hive, Impala, HDFS, Parquet, and Oracle databases. Exposure to data governance concepts: critical data elements (CDEs), lineage, data quality dimensions, audit frameworks. Experience running delivery ...

technical concepts into business insights. Operational Excellence & Standards: Ensure scalable, stable data operations using best practices in automation, observability, and continuous improvement. Requirements Advanced SQL, ETL/ELT frameworks, and cloud data platforms such as Azure, AWS, or GCP. Data modelling and pipeline orchestration using tools such as Airflow, Data ...

implement consent management, preference management, suppression, retention and communication governance requirements in accordance with agreed solution designs. • You’ll create and maintain SQL queries, transformation logic, API payloads, technical documentation, mapping specifications and deployment documentation. • You’ll work closely with architects and senior developers to ensure solutions align with approved … customer engagement and marketing automation concepts including audiences, campaigns, journeys, event triggers, personalisation, consent and preference management. • You’ll have experience writing and troubleshooting SQL queries and working with structured data formats such as CSV, JSON and XML. • You’ll have experience integrating systems using REST APIs, SOAP APIs, file ...

Engineers and drive engineering best practices. This is a hands-on role for an experienced engineer with deep expertise in Databricks,dbtCloud, Spark and SQL, who is passionate about delivering high-quality data solutions. You will play a key role in Primark's migration from Teradata to Databricks … capabilities. What you'll do Data Engineering Delivery: Design, build andoptimisescalable data pipelines, ETL/ELT workflows and data transformation solutions using Databricks,PySpark, SQL anddbtCloud, delivering trusted, high-quality data products that support reporting, analytics, AI and data science. Data Architecture & Modelling: Develop and maintain robustlakehousearchitectures and reusable data ...

business and supports diverse use cases including BI, ML, and real-time analytics. Write and review high-quality, production-grade code in Python, SQL, and IaC (Terraform) that sets the standard for engineering excellence. Design and deliver end-to-end data pipelines. Optimise performance, reliability, and cost-efficiency across … data functio n. About you: Deep understanding of modern data architectures (data lakehouse, event-driven pipelines, and orchestration systems). Strong proficiency in Python, SQL, and IaC (Terraform). Experience using dbt, Snowflake, AWS, orchestration tool like Prefect. Experienced in building and maintaining batch and streaming data pipelines at scale. ...

implement robust data models using Power BI Desktop. Create efficient DAX measures, calculated columns, and KPIs. Connect Power BI to various data sources including SQL Server, Excel, SharePoint, APIs, and cloud platforms. Develop and optimize ETL processes using Power Query and other data integration tools. Perform data validation, testing … Cloud. Design, develop, and optimise data ingestion, transformation, and loading processes into Amazon S3 Data Lake and Amazon Redshift. Develop and maintain SQL-based data integration, transformation, validation, and reconciliation processes. Integrate and support data services including AWS Glue Data Catalog, Athena, Redshift Spectrum, EMR Spark Perform data migration, testing ...

plus). Familiarity with risk appetite concepts as applied to data quality thresholds and control exceptions. Technical/Analytical Skills Proficiency in SQL (advanced querying, reconciliation logic, data validation). Strong proficiency in Python for data analysis and automation (pandas, validation frameworks, scripting). Experience supporting or validating ETL/… outputs such as Tableau dashboards (data validation, extract refresh checks, reconciliation to source). Nice-to-Have Experience with tools such as PySpark, Spark SQL, Hive, Impala, HDFS, Parquet, and Oracle databases. Hands-on exposure to DCRM tooling and operational exception management processes. Experience with governance/catalog tools ...

high-performing analytical teams. Database & Technical Mastery: Deep hands-on experience in database building, schema design, database maintenance, data warehousing, ETL processes, and advanced SQL querying across very large and complex data environments. Tooling & Technology Selection: Proven ability to identify, evaluate, and implement tools and technologies that consolidate disparate data … commissions, sales performance analytics, and reporting. Automation & Reconciliation: Practical experience with script-based reconciliation or automation tools such as VBA, Python/Pandas, SQL, Alteryx, or equivalent methods to rapidly reconcile large dataset pipelines and identify calculation or data integrity issues. Governance & Controls: Proven track record establishing and enforcing data ...