2,051 to 2,075 of 7,324 SQL Jobs in England

analytical roleExperience building financial, operating, or business models across adoption, usage, revenue, COGS, margin, and ROIStrong financial modeling and analytical skills; Excel required, with SQL or Python familiarity preferredExperience with cloud, GPU, and inference cost structures, or demonstrated ability to ramp quickly on AI infrastructure economicsAbility to create structured, executive ...

site experience. Knowledge of UK/international payroll. Familiarity with systems like Workday, SAP, Oracle, ADP, SD Worx, SuccessFactors . Experience with Power BI, SQL , or other visualisation tools. Background in payroll migrations or outsourcing programmes. Understanding of GDPR and payroll data governance. ...

broader SA communityWhat We Look For4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting roleProficient in Python and SQL with demonstrated ability to debug, optimise, and write production-quality code — live coding is a required interview stageHands-on experience designing and implementing data solutions … discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analyticsStrong presentation and demo skills — you will build and present a live solution during the interviewBachelor's or Master's degree in Computer Science, Engineering ...

broader SA communityWhat We Look For4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting roleProficient in Python and SQL with demonstrated ability to debug, optimise, and write production-quality code — live coding is a required interview stageHands-on experience designing and implementing data solutions … discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analyticsStrong presentation and demo skills — you will build and present a live solution during the interviewBachelor's or Master's degree in Computer Science, Engineering ...

What We Look For 4+ years in data engineering, solutions architecture, technical pre‐sales, or a hands‐on consulting role Proficient in Python and SQL with demonstrated ability to debug, optimise, and write production‐quality code — live coding is a required interview stage Hands‐on experience designing and implementing data … whiteboarding, architecture reviews Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics Strong presentation and demo skills — you will build and present a live solution during the interview Bachelor's or Master's degree in Computer ...

CICD deployment processes for data solutionsTroubleshoot and resolve production data issuesMust Have SkillsStrong Handson experience with DBT Data Build ToolExpertise in Snowflake Data WarehouseAdvanced SQL development and performance tuningData modelling Star Schema Dimensional ModellingExperience with ELTETL conceptsGit version control and CICD practicesExperience working in Agile environmentsNice to Have SkillsPython ...

problem solving- Experience in English-language communication skills, both written and verbalPreferred qualification - Experience with operations/supply chain- Experience with VBA, Python, SQL, or other database language- Experience with workforce planning- Experience in transportation and supply chainAmazon is an equal opportunities employer. We believe passionately that employing a diverse ...

What We Look For 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands‐on consulting role Proficient in Python and SQL with demonstrated ability to debug, optimise, and write production‐quality code — live coding is a required interview stage Hands‐on experience designing and implementing data … whiteboarding, architecture reviews Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics Strong presentation and demo skills — you will build and present a live solution during the interview Bachelor's or Master's degree in Computer ...

deployment pipelines Solid foundations and understanding of production‐grade, cloud‐native platform and infrastructure requirements, design, and implementation. Strong data manipulation skills (pandas, SQL) and understanding of evaluation strategies for LLM‐based systems Ability to work with ambiguity and optimise non‐deterministic systems through a process of experimentation and evaluation ...

team blends decades of deep technical expertise with curiosity and humility. You’ll work alongside engineers who have contributed to open‐source projects, tuned SQL to perfection, built massive distributed systems, and everything in between. And beyond the tech, our team is full of cyclists, musicians, gamers, skiers, and even … Operate platform for top 100 law firms worldwide. Design and implement custom integrations, workflow components, and UI elements. Work across the full stack: C#, SQL Server, JavaScript, HTML, CSS. Collaborate with analysts, configurators, and engineers to deliver scalable solutions. Communicate directly with client stakeholders to gather requirements and present solutions. ...

context (metadata, definitions, relationships) to enable self-serve analytics and GenAI use casesSupport the organisation’s transition to GCP and Looker platformsPersonal Attributes & ExperienceTechnicalStrong SQL and data modelling experience (BigQuery or similar preferred)Experience working with BI semantic layers (Looker preferred)Proven ability to design and deliver scalable data modelsDomain ...

would still defend. Senior-level SQL. Complex, clean, and performant, with a clear view of what your queries cost. There is a live SQL exercise in the process. What matters most Technical skill gets you into the process. Business understanding is what distinguishes candidates. You understand how systems interact commercially … education helps, but no particular discipline is required. Interview Process Three stages: a technical and behavioural conversation with the Head of Data including live SQL a session with leads from the teams you would work alongside a conversation on judgement and reasoning What's in it for you: 30 days ...

stakeholder management skills. Desirable Skills TOGAF, DAMA‐DMBOK, or similar architecture frameworks. Experience supporting AI, advanced analytics, and machine learning initiatives. Knowledge of SQL and/or Python. LeanIX, ARIS, or other Enterprise Architecture tooling. Geospatial data and digital twin experience. Agile or hybrid delivery experience. This is an excellent ...

have shipped and run - not remained on paper. Deep expertise in data modelling, warehouse/lakehouse design, and data governance. Hands-on background in SQL and Python, and fluency with at least one major cloud provider (AWS or Azure) and modern data platforms (e.g. Snowflake, Databricks). System‐level judgement ...

research to help teams determine which channels, platforms, and AI interfaces are the right fit for reaching a given audience. Technical Foundation: Proficiency in SQL and Python for data manipulation, statistical analysis, and building evaluation pipelines. Evaluation Tooling: Working familiarity with AI evaluation and observability tools such as LangSmith, Arize ...

similar role working with complex datasets Understanding of the sports betting industry Strong Python skills for data processing, investigation and workflow development Excellent SQL skills and solid experience with relational databases, preferably PostgreSQL Proven experience preparing, transforming and validating datasets for analytical, modelling or research use cases Experience investigating data ...

about how this craft is changing. The way we build is shifting: AI tools now handle a lot of the heavy lifting of writing SQL and boilerplate, which means the job is increasingly less about typing code and more about understanding the business problem, specifying what "good" looks like … assisted development to move faster, spending less time hand-writing boilerplate and more time specifying intent, reviewing, and refining Read, debug, and critically review SQL (including AI-generated code), so we ship models we can trust Document modelling decisions, trade-offs, and outcomes clearly Wrangle and integrate data from multiple ...

REST APIs, Prometheus, or Azure Monitor.• Maintain best practices for data engineering performance, testing, and documentation.Technical Skills Required• Strong proficiency with Databricks, Apache Spark (SQL, PySpark, Scala), and Delta Lake.• Deep understanding of Spark execution plans, shuffle optimization, and data partitioning strategies.• Experience tuning job configurations (e.g., memory management, parallelism ...

Engineering experience who is comfortable working with data from multiple systems and turning it into structured, reliable and reusable datasets. You'll have strong SQL skills, along with experience in data modelling, ETL/ELT processes, relational or analytical databases, data quality and validation, and building and maintaining data pipelines. ...

tasks. Key Criteria: A practical background in data and analytics space where you have demonstrated the ability to use data for actionable insight. Strong SQL skills, ability to perform effective querying of large-scale datasets. Experience working with and creating databases and dashboards using all relevant data to inform decisions. ...

that help teams self-serve and make informed decisions.RequirementsSkills and experienceStrong hands-on experience with Salesforce Marketing Cloud, including Content & Automation Studio, Journey Builder, SQL query, Cloud Pages and AMPscriptSolid understanding of the wider Salesforce ecosystem, including Data Cloud, MCP/Personalization and Salesforce Service Cloud exposureConfident working with SQL ...

cloud platforms such as AWS, Azure or Google Cloud. Knowledge of modern software engineering practices, CI/CD and version control. Experience working with SQL and/or NoSQL technologies. The confidence to explain technical concepts clearly to a wide range of audiences. A genuine curiosity for solving difficult problems ...

across cloud computing platforms (AWS, Azure, GCP) and enterprise Cloud Data Platforms (Snowflake, Databricks). Deep domain knowledge in relational databases (PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL environments (MongoDB, Cassandra, DynamoDB). Hands-on command of integration architecture, including APIs, Linux environments, SQL, and data pipeline technologies. Active experience ...

continuously improve data management and operational processes, ensuring they are scalable, efficient, and fit for purpose. Provide technical leadership across data workflows, including SQL, Python, ETL processes, APIs, data ingestion, automation, and data validation. Identify opportunities to automate manual processes and improve the efficiency, scalability, and reliability of data operations. … People Manager, with a track record of building, developing, coaching, and empowering technical or data-focused teams. Advanced, hands-on proficiency in SQL and Python. Proven experience designing, optimising, and maintaining ETL processes and data workflowsExperience working with APIs and data ingestion. Strong understanding of data quality, data validation ...

Python, FastAPI, Flask, or Node.js and 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). Hands‐on experience with Docker, Kubernetes, and cloud platforms (AWS or GCP). Strong CI/CD experience ...