26 to 50 of 4,541 SQL Jobs in London

Design and build data models, schemas to support business requirementsDevelop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based. Working collaboratively … Experience: Experience in operating as part of data engineering teams and independently. Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ...

build data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based. Working collaboratively with … Experience: Experience in operating as part of data engineering teams and independently. Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ...

succeedTo be successful in this role, you will have: At least 5 years' experience in a Data Engineering or similar data-focused role. Strong SQL skills, including T-SQL and exposure to relational database technologies. Proven ETL experience, with SSIS being essential. Experience with scripting languages such as Python ...

hear from you if you have: 4+ years’ experience across data and analytics, including data engineering, data science, and data visualisation: Proficiency in Python, SQL, and R for data manipulation and querying Familiarity with relational databases such as SQL Server, Oracle Understanding of various data formats, including CSV, JSON ...

data engineering, analytics engineering or data platform roles , typically gained over 5+ years, with experience operating at a senior or leadership level. Advanced SQL and Python skills and experience using them to build reliable, production‐ready data solutions. Strong experience with cloud data warehouses , ideally BigQuery, and a good working ...

Leadership & Architecture (e.g., pipeline design, engineering standards, technical reviews, technical debt refactoring, mentoring)Fount Platform & Data Engineering (e.g., ETL/ELT pipelines, Python services, SQL layers, API integrations, cloud infrastructure, cost & performance optimization)Analyst Enablement & AI Integrations (e.g., NocoDB configuration, Boolean ingestion, LLM enrichment frameworks, MCP & provider-hosted integrations)What … Jira environment to assess technical feasibility, evaluate trade-offs, and translate product requirements into maintainable, scalable technical solutions.Build and maintain production-ready Python services, SQL transformation layers, star-schema data models, and API integrations across relational databases and cloud storage (Azure Data Lake).Optimise pipeline performance, system reliability, compute efficiency ...

pull requests and meaningful commit history), and contributing to workspace governance across Dev/Test/Prod environments. Coaching analysts and BI developers on SQL, DAX, data modelling, visual design and engineering hygiene. Working closely with Data Engineering on changes to the semantic and curated layer and data marts. Delivering … role, with at least 2 to 3 years in a Lloyd\'s syndicate, managing agent, London Market broker or specialty (re)insurer. Advanced SQL, including query optimisation and working with the Azure data stack(Data Factory, Synapse/Fabric, SQL-based semantic layers). Advanced Power BI: data modelling (star ...

Title : Data Engineer - ( Python, PySpark, and SQL)Location : NorthamptonAbout the Job you are considering:We are seeking an experienced Data Engineer with strong expertise in Python, PySpark, and SQL to design, develop, and optimize large-scale data processing solutions. The ideal candidate will have hands-on experience building data pipelines … Role:Design, develop, and maintain scalable data pipelines and ETL processes.Develop and optimize data processing solutions using Python and PySpark.Write complex and high-performing SQL queries for data extraction, transformation, and analysis.Work with large datasets and distributed computing frameworks to support data engineering initiatives.Collaborate with architects, analysts, and business stakeholders ...

controls, including data quality, data lineage, model testing, prompt testing, access controls, monitoring, explainability, human oversight and governance. Strong data analytics capability, including Python, SQL, Spark, Power BI, Tableau or equivalent tools. Ability to translate complex technical concepts into practical business risks, control implications and clear audit conclusions. Internal Audit … machine learning, Generative AI, Large Language Models (LLMs) and Agentic AI. Strong data analytics capability, including experience with platforms such as Python, SQL, Power BI, Tableau, Databricks, Palantir Foundry. Understanding of technology risks, cybersecurity principles and control frameworks. Ability to assess and test automated controls, algorithms and AI-enabled processes. ...

formulas, macros, and VBA logic into controlled Dataiku processing frameworks. Partner with Dataiku engineers and developers to review application designs, integration components, Python code, SQL logic, reusable recipes, and deployment configurations. Dataiku Application and WebApp Architecture Lead the architecture and design of Dataiku applications and WebApps used as the primary … managed folders, scenarios, plugins, APIs, automation, and deployment processes. Experience designing metadata-driven and configuration-driven data-processing platforms. Strong knowledge of Python and SQL-based data solutions. Experience integrating Dataiku with databases, APIs, file systems, enterprise applications, workflow platforms, and reporting tools. Experience with PostgreSQL, Amazon RDS, or comparable ...

from Data through design, build, testing and scope changes. The candidate Proven record working with Azure relational and NoSQL databases, data warehouses, query authoring (SQL) as well as working familiarity with a variety of databases. Highly experienced in working with data engineering technologies including ADLS, ADF, Microsoft Fabric, Azure SQL ...

Data Analyst Experience working with Snowflake Experience of designing and implementing data analytics strategies and driving successful data-driven initiatives. Proficiency in SQL for data extraction, manipulation, and analysis. In-depth knowledge of statistical analysis techniques, predictive modelling, and advanced machine learning algorithms. Strong experience with data visualization tools such ...

implementing complex ETL/ELT from concept to production, including SLAs, performance measurement, and monitoring. Comprehensive data design and data modeling experience, and advanced SQL across large, complex datasets. Extensive experience with big data technologies and cloud data warehouses (Snowflake, BigQuery, Hadoop/Hive) at terabyte-and-growing scale. Experience ...

process (eligibility criteria apply). We are looking for a versatile Azure Data & ML Support Engineer with strong expertise in Azure cloud services, DevOps, SQL, and data warehousing to support and optimize ongoing operations in a Managed Services environment. This role is responsible for ensuring the stability, performance, and reliability … proactive monitoring, issue investigation, automation, and continuous improvement. The ideal candidate will also play a key role in supporting data warehouse systems by managing SQL-based data loads orchestrated through Azure Data Factory (ADF), and by writing and optimizing SQL queries to aid in troubleshooting, data validation, and automation tasks. ...

across: Building data pipelines using Microsoft Fabric Fabric Lakehouse, Warehouse and OneLake Developing data models and analytics solutions Power BI development ETL/ELT SQL and SQL Server Azure Data Lake Internal and third-party API integrations Azure DevOps and Git CI/CD and production deployments Supporting existing Synapse … Fabric depth and longer-term ownership , rather than simply meeting an arbitrary number of years. Youll also need experience across several of the following: SQL Data modelling ETL/ELT development Azure data platforms Azure Data Lake API integrations Git/source control Azure DevOps CI/CD Developing, deploying ...

clear value, including integrating AI tools for analysis and AI coding agents into day-to-day workflows Tech stack Azure Databricks (Spark, Delta Lake) SQL Server, Confluent Kafka Scala, SQL, dbt Git, GitHub Actions, Terraform Sigma (BI) Must-have experience Commercial experience as a Data Engineer working with Spark … data platform within the broader platform ecosystem Good Scala skills (or strong PySpark plus a genuine willingness to work primarily in Scala) Strong SQL skills for transformations, data modelling, and debugging data issues Experience building and supporting ingestion pipelines end to end Understanding of data modelling for analytics (star schema ...

analytics requirements across the business. You'll work across: Microsoft Fabric, including Lakehouse, Warehouse and OneLake Data pipelines and ETL/ELT Power BI SQL and data modelling Azure Data Lake Internal and third-party API integrations Azure DevOps, Git and CI/CD Production deployment and support Existing Azure … depth and production ownership , rather than using an arbitrary number of years as the measure. You'll also need strong Data Engineering experience across: SQL Data modelling ETL/ELT Azure data platforms API integrations Git/source control CI/CD Production deployment and support Azure Synapse would ...

more cloud data ecosystems: Azure (Data Factory, Synapse, Fabric, ADLS, Databricks) AWS (Glue, Redshift, EMR) GCP (BigQuery, Dataflow) Databricks (Spark/PySpark) Snowflake (SQL, Snowpark, performance tuning) Strong SQL and/or Python capability, and familiarity with tools such as dbt, Git, CI/CD, or MLOps frameworks. Understanding ...

cloud-native data engineering technologies. Provide technical direction across data modelling, ingestion, transformation, orchestration and integration. Apply practical experience of Spark, PySpark, Python and SQL within enterprise data environments. Governance, Security & Quality Embed effective data governance, security, quality and access controls within cloud data environments. Ensure architecture decisions appropriately balance … cloud data platform. Strong understanding of modern data architecture patterns, data modelling and ETL/ELT approaches. Practical experience with Spark, PySpark, Python and SQL and the design of scalable batch and real-time data pipelines. Experience designing appropriate data governance, security and data quality controls. Experience with modern engineering ...

data architecture, engineering, analytics and reporting. Experience working with cloud-based data platforms such as Azure, AWS or GCP . Strong technical knowledge of SQL and Python . Experience with modern data technologies and tooling such as Microsoft Fabric, Power BI, Snowflake, dbt, Airflow, Databricks or Looker . Experience designing ...

Contribute to engineering standards, best practices and continuous improvement initiatives. Essential Skills and Experience Technical Significant experience delivering enterprise-scale data engineering solutions. Strong SQL and data modelling expertise. Experience with cloud data platforms, with Azure experience preferred. Experience building ELT/ETL pipelines and data integration solutions. Strong software ...

embedded into business processes and decision-making.Technical Skills:Hands-on experience in one or more of the following areas:Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analyticsCloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCPAI Technologies – GenAI frameworks, Agentic AI, vector databases, semantic search, knowledge ...

Master's degree in mathematics, statistics, computer science, data science or a related quantitative field. Advanced proficiency in Python, R and Structured Query Language (SQL), together with experience using database platforms. Strong communication skills, with the ability to explain complex concepts clearly to technical and non-technical audiences and collaborate ...

establish clear audit trails and evidentiary integrity Contribute to the development of reusable tools, methodologies, and intellectual property within the practice Technology & Data Environment SQL-based data platforms (e.g., SQL Server, PostgreSQL, Oracle, DuckDB) Python for data processing, statistical analysis, and automation Data visualisation tools (Power BI) for storytelling … entity resolution techniques What We’re Looking For 3+ years of professional experience working in data analytics or a related field Demonstrated proficiency in SQL and at least one programming language (Python preferred) Experience working with large, complex datasets and deriving actionable insights Strong academic background in a quantitative ...

Master's degree in mathematics, statistics, computer science, data science or a related quantitative field. Advanced proficiency in Python, R and Structured Query Language (SQL), together with experience using database platforms. Strong communication skills, with the ability to explain complex concepts clearly to technical and non‐technical audiences and collaborate ...