2,351 to 2,375 of 8,220 Permanent SQL Jobs

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 ...

Bachelor's degree in Computer Science, Engineering, IT, Data Science, or a related field Experience with Python or another programming language Basic exposure to SQL/data fundamentals and scripting (e.g., Bash) Familiarity with cloud platforms (AWS, Azure, or GCP) and GenAI tools and concepts Curiosity, strong problem-solving skills ...

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. ...

drive delivery. Strong experience working with Oracle Database (19c), Oracle EBS (12.1.3 or above), and Oracle APEX (19.1 or above). Advanced skills in SQL and PL/SQL, with a solid understanding of database design and optimisation. Front‐end development experience using JavaScript, JSON, CSS, and HTML. Excellent communication ...

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 ...

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 ...

improving systems, shaping strategy, and building capabilities that compound in value over time. A day in the life Analyse enrichment data (using Python and SQL) to understand where and why enrichment falls short — quantifying problems and building the evidence base for what's worth fixing Surface opportunities the team wouldn … tooling — form a view on which new techniques are worth experimenting with in the enrichment context About you Comfortable writing code (typically Python and SQL) to explore data, clean outputs, call APIs, and prototype ideas Some experience working with LLM APIs: calling them, prompting them, structuring their outputs, and understanding ...

tools to engineering, risk assessment, asset performance, predictive modelling or operational decision-making. Proficiency in data analysis and modelling tools such as Python, R, SQL, MATLAB, Power BI, Tableau or equivalent platforms. Experience developing or utilising data-driven models, machine learning tools, digital twins, predictive maintenance applications or engineering analytics ...

Capability Mapping, Enterprise Modernization, and Agentic AI. Technical Foundation: Strong background in Data Architecture, system integrations, data operations, automation capabilities, and data-related languages (SQL, Python, etc.). You must be able to comfortably switch from discussing high-level architecture strategy to understanding hands-on demo environments. Ecosystem Knowledge: Strong ...

making across the organisation Your Skills & Experience Strong commercial experience as a Data Scientist, Product Data Scientist, Product Analyst, or similar analytics professional. Advanced SQL skills and experience working with cloud-based data warehouse environments. Strong Python or R capabilities for data analysis, statistical modelling, and machine learning. Experience building ...

At 1st Central, everything starts with our people. As one of the UK’s leading motor and home insurers, we use smart technology, data and great service to make insurance fast, fair and simple for ...

improvements that enhance the capabilities for all teams and drive trust in the stability of the system What you'll have Strong aptitude with SQL, Python and AWS data stack essential; Experience building efficient, scalable databases and APIs (e.g. Django, FastAPI) a huge plus; Experience in Kubernetes, Docker, Spark … platform; Desirable: energy domain knowledge Our core data stack Python as our main programming language Databricks Spark for data processing Databricks/dbt/SQL for data modelling and analytics Streamlit for data applications and visualisations Airflow for job scheduling and tracking CircleCI for continuous deployment Parquet and Delta file ...

Engineering Write well‐formulated, testable, and readable code using appropriate software design patterns Build and maintain APIs, microservices, and data pipelines Write complex SQL queries and optimise database performance Debug and resolve issues across our applications, including production incidents Review, maintain, and refactor existing code to support improved ...

working with DevOps and engineering colleagues to keep systems reliable, maintainable and easy to operate. Support applied AI and data science delivery Use Python, SQL and APIs to build applied AI and analytics capabilities. Help process and enrich large volumes of text and unstructured content. Contribute to workflows involving summarisation ...

Design, configure and maintain Azure serverless components, including Azure Functions, Function Apps, App Service Plans, scaling models, host processes and environment lifecycles. Oversee Azure SQL Databases and Managed Instances, including availability, firewalls, private endpoints, Entra ID integration, performance monitoring, backups and recovery readiness. Manage certificates and secrets across Azure workloads … experience with Microsoft Azure serverless and PaaS services, including Azure Functions, Function Apps, App Service Plans and related hosting models. Experience administering Azure SQL Database and/or Managed Instance, including access controls, private connectivity, resource tiering, backup/recovery and performance optimisation. Strong experience with infrastructure as code, including ...

data lifecycle management.Experience with data modelling concepts and metadata standards; familiarity with FAIR data principles is highly desirable.Programming or scripting experience (e.g., Python, R, SQL) and experience integrating systems using APIs (REST, GraphQL).Strong communication skills with the ability to collaborate effectively across scientific and technical teams.Experience with cloud platforms ...

governance models. Advanced capabilities in data analytics, dashboard design, AI and system tools. Solid understanding of data architecture, database management and system integration, including SQL and scripting tools. Proven ability to design and implement automated workflows across enterprise systems and platforms. Strong commercial acumen with the ability to link data ...