926 to 950 of 5,986 SQL Jobs in the UK

with project requirements. Essential skills and experience Experience preparing, analysing and presenting data for business or operational decision-making. Good working knowledge of Excel, SQL, BI tools or equivalent analytical platforms. Ability to identify data quality issues and prepare data so it is fit for purpose. Ability to communicate technical ...

skills Use practical knowledge of Microsoft Fabric and its integration with Power BI, including OneLake, Lakehouse, Warehouse, Data Factory and Dataflows Gen2 Bring strong SQL skills and experience connecting to cloud and on‐premises data sources Work confidently with stakeholders to gather requirements, define KPIs and deliver useful analytical products ...

proactively address customer concerns and exceed expectations Enjoys working with software and computers and ideally a working knowledge of Windows Server and Microsoft SQL Server Strong written and oral communication skills Fluent English language skills (Additional languages welcome!) Demonstrated planning and organisational skills Analytical thinking and attention to detail Passion … essential) ETRM, CTRM or other trading and financial services related user experience Computer skills and understanding of network and software technology such as SQL, Shell Scripting, Power BI or Tableau Familiarity with helpdesk and defect tracking tools such as Jira, Confluence a plus About Veson Nautical We are a team ...

Expertise in Python, FastAPI, and Flask with modern backend development patterns. Strong understanding of microservices, concurrency, async programming, and event-driven architectures. Proficiency with SQL and NoSQL databases (PostgreSQL, DynamoDB, Redis, MongoDB) and familiarity with lakehouse platforms. Experience with or strong willingness to work in PySpark and Databricks, including ...

experience with a modern framework such as React, Angular or Vue.js, to deliver complete full-stack applications. Hands-on experience across database technologies, including SQL optimisation for relational databases (PostgreSQL, SQL Server) and schema design for NoSQL stores (MongoDB, Elasticsearch, Redis). Experience designing, securing (OAuth2, JWT) and optimising REST ...

ideally on Databricks Apps. Databricks certification at Professional level, or Associate level with the drive to progress (see Certifications). Technical skills Python and SQL, including PySpark and Spark SQL; scripting in Bash. Infrastructure as code with Terraform (Databricks and AzureRM providers), plus Declarative Automation Bundles, the Databricks … Analytics. Databricks services: Unity Catalog (ABAC, row filters, column masks, lineage, system tables), Lakeflow Jobs and Declarative Pipelines, Delta Lake, serverless compute and SQL warehouses. Application development for Databricks Apps, using Python web frameworks or React. Automated testing, including pytest, data-quality checks, and performance and load testing. ...

visual analytics: Design, deploy, and maintain dynamic BI dashboards and reports to present clear data health insights to key stakeholders. Perform exploratory analysis: Utilize SQL and BI software to investigate datasets, discover underlying patterns, and resolve complex data quality challenges. Drive process automation & AI integration: Streamline data validation workflows … Science). Bachelor’s degree (or higher) in a quantitative field such as Economics, Computer Science, Statistics, Business, or equivalent practical experience. Solid foundational SQL skills with the ability to query, filter, aggregate, and join complex tables efficiently. Practical familiarity with Python, GitHub, and spreadsheet tools (Excel or Google Sheets ...

technical expertise in business intelligence tools, the design and development of data analytics solutions and reports, and querying databases with SQL. Solid hands-on SQL skills - writing and optimising queries, joins and aggregations against large datasets. Prior experience working on projects related to data management and/or business intelligence. … understanding of the gaming and sports betting industry is a strong advantage. Experience working with Amazon Redshift, Amazon Athena and/or Microsoft SQL Server is a benefit. OUR OFFER: A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US) including various social ...

delivering complex, multi-stakeholder projects. Hands-on experience with schema mapping, data matching and deduplication, ETL design, and data quality validation. Working knowledge of SQL; Python or comparable scripting for data processing and automation. Understanding of MDM concepts (data domains, golden records, ownership, lineage) and PII regulations (GDPR and equivalent ...

patterns. Infrastructure as Code: Terraform experience required; Terragrunt a plus. Comfortable owning modules across environments, not just consuming them. Snowflake & Warehouse Engineering: Strong SQL for Snowflake, including Snowpipe, Tasks and Snowpark. Dbt : Proven experience in building well tested SQL and python models in dbt. CI/CD & Data Security: Experience ...

/CD tooling to analyse, build, test and deploy your code and proven experience in their technologies. You have experience in database technologies (e.g., SQL, NoSQL such as Elasticsearch and Graph databases). You have a good understanding of coding best practices and design patterns and experience with code ...

Python with the ability to write clean, maintainable code, navigate complex algorithms, and optimize data-intensive tasks for performance and computational efficiency. Advanced SQL & Data Modelling: Extensive experience designing normalized and dimensional data models, paired with strong proficiency in crafting, debugging, and tuning complex SQL queries over large-scale datasets. ...

machine learning and their application in financial services. Proficiency in data tools, programming languages, and database technologies, in particular in Azure Databricks, Spark, Spark SQL and Python/pyspark. Understanding of data governance, security, and data quality management principles. Experience working with large, complex datasets and performing feature engineering … audit evidence Essential Skills: Data pipeline development and optimisation Data modelling and architecture (in Azure Databricks) Programming and scripting for data processing (Spark, Spark SQL, Python, pyspark) Data science and machine learning Data governance and quality assurance Problem-solving and analytical thinkingStakeholder engagement and technical communication, including at design forums ...

Azure but AWS, GCP accepted) Experience with observability tools (e.g., Prometheus, Grafana, ELK stack) Working with and designing RESTful APIs MSSQL, PostgreSQL or other SQL databases Working in Agile teams (preferably following Scrum) Architecture of new or current applications (microservices, design patterns, reliability, scaling, automation) UK Immigration Mott MacDonald Ltd. ...

Audit. Develop maintainable Python solutions using Pandas, Polars and PySpark, selecting fit-for-purpose approaches based on scale, performance and operational needs. Write advanced SQL for data transformation, reconciliation, profiling and analysis across OLTP and analytical data platforms. Design data models for operational and analytical use cases, including dimensional modelling … master’s degree is welcome. Hands-on proficiency in Python, including Pandas, Polars and PySpark, with experience writing testable and maintainable code. Strong SQL proficiency and practical understanding of OLTP databases, relational design and query performance. Strong understanding of data modelling, data warehousing, dimensional modelling and slowly changing dimensions. Experience ...

supported. What you’ll work on: Developing full-stack features using C#, .NET, HTML, CSS, JavaScript, and SQL. Writing and optimizing hand‐crafted SQL queries to ensure high performance. Designing and implementing event‐driven workflows using Event Store. Enhancing search and data projections with ElasticSearch. Modernizing components of the platform … best practices. What you may have: Strong experience with C#/.NET, including async/await, memory management, and resource handling. Deep knowledge of SQL Server, including query optimization, indexing, execution plans, and performance tuning. Solid understanding of HTML5, CSS3, Flexbox, and CSS Grid. 5+ years of varied software engineering ...

machine learning and their application in financial services.* Proficiency in data tools, programming languages, and database technologies, in particular in Azure Databricks, Spark, Spark SQL and Python/pyspark.* Understanding of data governance, security, and data quality management principles.* Experience working with large, complex datasets and performing feature engineering … audit evidence**Essential Skills:*** Data pipeline development and optimisation* Data modelling and architecture (in Azure Databricks)* Programming and scripting for data processing (Spark, Spark SQL, Python, pyspark)* Data science and machine learning* Data governance and quality assurance* Problem-solving and analytical thinking* Stakeholder engagement and technical communication, including at design ...

ecosystem - ensuring that the insights driving our commercial, product, and operational decisions are accurate, timely, and deeply actionable. You’ll be hands-on with SQL, Python, dbt, and modern BI platforms, building data models, designing self-serve analytics, and translating complex data into strategic business recommendations. This is a technical … operated as the accountable analytics partner for a business area, market or senior leadership group. Strong analytical foundations - You are technically credible, with advanced SQL and sufficient statistical and analytical depth to challenge senior analytical work, unpack the methodology and identify when a conclusion is not supported by the evidence. ...

business priorities and outcomes into clear, delivery-ready requirements. Successful candidates will have a proven track record of collaborating across team boundaries; experience with SQL, Power BI and Azure DevOps (ADO); and familiarity with Databricks from a business user perspective. Key Responsibilities: Work directly with business stakeholders to elicit, clarify … diversity of views and opinions. Key Skills & Experience: Professional experience in a (Business) Data Analyst role within the insurance industry Intermediate to advanced SQL skills, with proven experience building data products in a modern data environment (preferably Azure Databricks and Power BI) Strong hands-on experience with Azure DevOps ...

platform design. Participate in planning discussions on platform roadmap with Jack Morton team members. This role requires strong experience in the following: Python SQL Data Modeling Data Warehousing (Snowflake experience is desirable) ETL or ELT development API Integrations Batch and event-driven pipelines. The applicant should understand: Semantic indexing Retrieval ...

engineering and/or data engineering in a commercial or consultancy setting Strong, demonstrable proficiency in Python for data and ML work Advanced SQL and solid experience with relational and non‐relational databases Proven experience building and maintaining data pipelines (ETL/ELT) in production Hands‐on experience developing, training … handling sensitive or regulated data (e.g. GDPR, ISO 27001, or similar) Technical Skills Python (essential) – pandas, NumPy, and the modern data/ML ecosystem SQL – advanced querying, modelling, and optimisation Data pipelines & orchestration – Airflow, Prefect, Dagster, or dbt Data warehouses/lakes – BigQuery, Snowflake, Redshift, or Databricks ML frameworks – PyTorch ...

Strong knowledge of REST APIs, GraphQL, WebSockets and microservices architecture. Commercial experience with AWS services, ideally Lambda, Fargate, API Gateway and AppSync. Experience with SQL and NoSQL databases, messaging technologies and event-driven architectures. Familiarity with Terraform, Docker, CI/CD pipelines and automated testing. Understanding of software design patterns ...

between them and what KPIs can be measured at what stage of the workflows, and contributing to target data models. Proficiency in Python and SQL, experience on a cloud data platform (e.g. Azure, Databricks), and an understanding of data architecture Experience building Power BI dashboards and automated reporting ...

across algorithmic and agentic categories (e.g., AI vendor APIs, open‐source tooling such as LlamaIndex, HuggingFace, Claude Code or similar) Manipulating datasets in Python, SQL and Excel Deep familiarity with GitHub to collaborate with other developers Conversant and proficient across AWS or other cloud platforms Expertise with data visualisation tools … talent to create compelling visualisations that bring data to life Detail‐oriented and accuracy-focused approach Skillset to manipulate datasets in Python, SQL and Excel and ability to write production‐level Python code including automated testing Desire to work with a geographically dispersed team and capability to work with other ...

team move faster Be proficient with our analytics stack: build dashboards in AWS QuickSight and track funnels, events and experiments in PostHog Use SQL and Python every day to pull, model and analyse data Learn how our APIs, decisioning flows and data pipelines work, and work directly with engineers … physics, economics or similar) 0–2 years of experience, including internships, placements or early-career roles with real responsibility Strongly analytical and confident with SQL and Python, able to go from raw data to a clear recommendation Able to build with AI. You use AI coding tools (e.g. Claude Code ...