1 to 25 of 227 SQL Jobs in the City of London

/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 ...

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 ...

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 ...

work at home 100% of the time. Your Role: Design and build distributed batch and real‐time data pipelines using Spark (Core/SQL/Streaming) in Scala and Python. Architect scalable ingestion, transformation, and enrichment frameworks for trade, risk, and regulatory datasets. Lead solution design, enforce engineering best practices ...

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 ...

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 ...

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 ...

technical excellence. Experience needed: • Extensive experience with Azure services including Azure Databricks, Azure Data Lake Storage, and Azure Data Factory. • Advanced proficiency in SQL, Python, and Spark (PySpark), with a strong focus on performance optimization and distributed processing. • Proven experience in CI/CD practices using industry-standard tools (e.g. ...

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 ...

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/ ...

manage data models to create logical data structures that enhance accessibility and usability. Application Development: Build full-stack applications using tools such as Python, SQL, and relevant frameworks, delivering intuitive user interfaces and interactive workflows. Data Governance: Implement data lineage tracking and access controls to uphold compliance with organisational ...

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 ...

data/software provider serving lenders. Proven experience analysing large datasets, including performance analysis and back-testing of risk metrics. Strong technical capability (SQL, Python, Spark, or similar). Experience working alongside engineering teams to develop and maintain data products. Excellent communication skills with the ability to influence both technical ...

driven and have the ability to demonstrate initiative Have excellent communication, and stakeholder engagement skills Demonstrate Excel proficiency and familiarity with R, Python, and SQL for data analysis Benefits Hybrid working and flexibility: Healthy work/life balance Holidays: Competitive holiday package Health and Wellbeing: Private health Insurance cover + ...

quality, governance, and security controls Contributing to engineering standards and secure DevOps practices Delivering robust, cloud-based data solutions at scale Tech Environment Python, SQL, Spark AWS, Azure, or GCP Databricks, Snowflake Modern data lake and warehouse architectures Automation and DevOps tooling Requirements Active DV clearance, mandatory Strong experience building ...

Hybrid London – London preferred, with 2–3 days in the office ⚡ Start ASAP – Interviewing now What my client is looking for: Strong Python + SQL fundamentals (data engineering/ETL/pipeline ownership) Hands-on experience with DuckDB and/or Polars (DuckDB especially valuable) Experience operating pipelines in production ...

Technical Skills: Proficiency in Java and its related frameworks (e.g., Spring Boot, Maven, Gradle), knowledge of web services, and understanding of database technologies like SQL/Oracle are often required. • Soft Skills: Excellent communication, problem-solving, analytical, and interpersonal skills are essential for collaborating with diverse teams and stakeholders. • Industry ...

senior stakeholders to shape data strategy and delivery • Engage with international markets to understand requirements and align delivery What We’re Looking For • Strong SQL with hands on Snowflake experience • Proven dbt experience at scale • Strong dimensional modelling using Kimball principles • Python for data engineering tasks • Experience with Airflow ...

Proven experience in a data science or statistical role. Expertise in advanced analytics techniques including machine learning, optimisation and segmentation. Strong proficiency in Python, SQL and Spark SQL. Experience working with large datasets and distributed computing tools such as Azure Synapse and Snowflake. Familiarity with data transformation tools (Databricks, Azure ...

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 ...

Hands-on Kubernetes experience (ideally AKS, but equivalent experience considered) Experience working with DevOps practices and CI/CD pipelines Coding experience (e.g. Python, SQL, R, SAS, or similar) Experience working in secure or highly regulated environments Ability to work independently, take ownership, and use your initiative A numerate ...

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 ...

data, process, tooling, and stakeholders to make product teams more effective. About the role Build and maintain dashboards and reports using Power BI, Excel, SQL, and product analytics tools (e.g. Pendo/ContentSquare-type platforms). Translate product data into clear insights that inform prioritisation and decision-making. Define ...

data engineering, workflow orchestration, and machine learning operations. Excellent communication skills with the ability to influence cross-functional teams and stakeholders. Experience with Python, SQL, Java, HQL, Hive, Pyspark, or similar programming languages preferred Well-versed in design thinking principles Great problem-solving and analytical skills ...