13 of 13 SQL Jobs in East Lothian

tools to accelerate engineering workflows - code generation, code review, pipeline debugging, or documentation Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non-relational databases. Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines. Bachelor's degree ...

participating in a volunteer organisation or open source projects. Experience with QGIS or ArcGIS Experience working with geospatial data (raster and vector) Databases (NoSQL, SQL, Graph Dbs, Principles of RDBs) Experience with Systems Engineering Understanding of the Software Development Life cycle Thorough grounding in containerisation e.g. Docker, Kubernetes Shell scripting ...

operating large-scale cloud-native data platforms. You have deep experience building reliable distributed data pipelines using technologies such as Scio, BigQuery, Dataflow, GCS, SQL, Python, or similar cloud-native tools. You have a strong understanding of modern data modeling, metadata management, governance, and data quality practices. You know ...

experience of the wider AI-native commercial stack (for example Clari, Gong, Outreach, Clay or equivalent). Strong analytical skills, with confidence in SQL, BI tooling (Tableau, Looker or similar) and financial and revenue modelling. Advanced Excel is assumed. Benefits Why we think you’ll enjoy it here: Competitive base ...

saying "I don't think that's what the data shows" Mentor other analysts and help raise the analytical bar across the team - in SQL, in experimentation, in how we tell a story with numbers What we're looking for Solid product or growth analytics experience in a subscription, marketplace ...

work end to end. Comfortable owning the server side as well as the front end: SSR, serverless and edge runtimes, API routes, a SQL database, secrets and CI. You should be able to take a feature from schema to component to the route that serves it without handing ...

through UI, they are fully functional and available through APIs, so both humans and agents can interact with the platform Strong background in databases, SQL, query optimization, and BigQuery. A track record of taking an engineering team and visibly transforming it - measurable improvements in delivery velocity, technical quality, or team ...

evaluation of large language models Benchmarking and agent-based code execution in sandboxed environments Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc.) Adapting guidelines for new domains and use cases Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects Note: Flexibility ...

track record of driving revenue growth, ensuring customer satisfaction, promoting feature adoption, and maximizing customer retention. Prior experience collaborating with Development teams. Proficiency in SQL, scripting languages (e.g., Python or equivalent), and hands-on experience with cloud environments. 3+ years of hands-on experience with data technologies and cloud technologies ...

sold into Operations, Supply Chain or Finance buyers at enterprise companies. Retail or FMCG is a bonus. You get your hands dirty with SQL, a bit of scripting, REST APIs, basic Python. You don't have to be a software engineer. You do have to be the person ...

front-end frameworks like React or Angular as well as backend Javascript frameworks such as NodeJS, ExpressJS, or NestJS. Knowledge of database systems and SQL queries Previous fintech experience will be an advantage, but not a requirement Join Neoflow, a leading company in fintech. Apply now for the Full Stack ...

written and the engineering problems you had to solve. Solid experience with modern data engineering tools and patterns, with real depth in several of SQL, Spark, Databricks/Delta Lake, orchestration tools (Dagster, Airflow, Temporal), and dbt. Comfort with modern deployment practices: CI/CD, containerisation (Docker), and cloud-based … domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus, but it will help as our platform ...

expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications. You are proficient in SQL and database operations for data manipulation and analysis. You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases). You have good understanding of MLOps practices ...