1,951 to 1,975 of 8,633 Permanent SQL Jobs

Google Cloud Platform: BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer (Airflow) as the primary data platform stack. Advanced Python and SQL skills, including writing performant, production grade code and conducting rigorous code reviews. Proven experience designing and building complex, scalable data pipelines using both batch and streaming … skills: dimensional modelling, data vault, or equivalent, with a track record of building well structured, reusable BigQuery data models. Experience with Dataform (or equivalent SQL based transformation tools) for orchestrating transformations within BigQuery at scale. Solid understanding of software engineering principles: CI/CD, version control (Git), testing frameworks ...

Review others' work constructively and contribute to the team's modelling standards. Demo new features and train business stakeholders when required About you Strong SQL and production dbt experience Production experience on a cloud warehouse with Git-based, review-first workflows A track record of defining metrics with stakeholders ...

science, machine learning, and business analytics Practical experience in coding languages eg.?Python, R, Scala, etc.(Python preferred) Strong proficiency in database technologies eg.?SQL, ETL, No-SQL, DW, and Big Data technologies eg.?pySpark, Hive, etc. Experienced working with structured and also unstructured data eg.?Text, PDFs, jpgs, call ...

nature: improving systems, shaping strategy, and building capabilities that compound in value over time. A day in the lifeAnalyse 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 … quality tooling — form a view on which new techniques are worth experimenting with in the enrichment contextAbout 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 ...

science, machine learning, and business analytics Practical experience in coding languages eg.?Python, R, Scala, etc.(Python preferred) Strong proficiency in database technologies eg.?SQL, ETL, No-SQL, DW, and Big Data technologies eg.?pySpark, Hive, etc. Experienced working with structured and also unstructured data eg.?Text, PDFs, jpgs, call ...

business requirements.Manage data pipelines end-to-end, from data extraction to transformation and loading, to provide timely and correct data for analysis.Utilize complex SQL queries and macros to transform data efficiently, optimizing queries for performance as needed.Incorporate data quality checks and cleansing routines to ensure datasets are reliable and accurate.Work … field (e.g., Computer Science, Mathematics, Physics).At least 3 years of experience in a similar data analytics engineering or BI development role.Strong proficiency in SQL and experience with data modeling tools (such as dbt) and data warehousing concepts.Hands-on experience with business intelligence platforms (e.g., building dashboards in Looker, Tableau ...

human responsibility for quality. Nice to have, but not essential Experience testing data‐heavy products, analytics features, reporting workflows or business intelligence experiences. Strong SQL and experience validating datasets, transformations, aggregates, completeness, consistency or lineage. Experience testing data pipelines, ingestion workflows, event‐driven integrations or cloud data platforms. Familiarity with … service‐level scenarios in a .NET product environment. CI/CD‐integrated testing, Git and test reporting or quality dashboards. SQL and structured test data, with an interest in validating data flows and transformations. Logs, metrics and observability tools for diagnosis and production feedback loops. Agile planning, quality discussions, defect ...

you. How It Works Step 1 – Data Administration & Core Tools Build essential, job-ready skills with practical training in: Microsoft Excel (to expert level) SQL – Extracting and querying data from databases Python 3 – One of the most widely used languages in data analysis Tableau – Creating dashboards and data visualisations Study ...

requirements. Manage data pipelines end-to-end, from data extraction to transformation and loading, to provide timely and correct data for analysis. Utilize complex SQL queries and macros to transform data efficiently, optimizing queries for performance as needed. Incorporate data quality checks and cleansing routines to ensure datasets are reliable … e.g., Computer Science, Mathematics, Physics).At least 3 years of experience in a similar data analytics engineering or BI development role. Strong proficiency in SQL and experience with data modeling tools (such as dbt) and data warehousing concepts. Hands-on experience with business intelligence platforms (e.g., building dashboards in Looker ...

fewer, better, trusted outputsReview others' work constructively and contribute to the team's modelling standards.Demo new features and train business stakeholders when requiredAbout youStrong SQL and production dbt experienceProduction experience on a cloud warehouse with Git-based, review-first workflowsA track record of defining metrics with stakeholders and delivering outcomes ...

Azure DevOps Working knowledge of Software coding language in the Microsoft stack E.g.: C#, node.js, JavaScript, Typescript etc Working knowledge of any other SQL and relational databases Experience Essential Experience of working as an automated test engineer within the test team delivering successful outcomes. Practical experience of testing on .NET … SQL and Microservices architecture - on prem and cloud. Analytical and Judgemental Skills Essential Excellent analytical, evaluative and judgement skills, with the ability to operate effectively in complex, ambiguous and fast moving environments, balancing quality, delivery and risk to support robust decision making. Interpersonal Skills Essential Excellent oral and written communication ...

Azure DevOps Working knowledge of Software coding language in the Microsoft stack E.g.: C#, node.js, JavaScript, Typescript etc Working knowledge of any other SQL and relational databases Experience Essential Experience of working as an automated test engineer within the test team delivering successful outcomes. Practical experience of testing on .NET … SQL and Microservices architecture - on prem and cloud. Analytical and Judgemental Skills Essential Excellent analytical, evaluative and judgement skills, with the ability to operate effectively in complex, ambiguous and fast moving environments, balancing quality, delivery and risk to support robust decision making. Interpersonal Skills Essential Excellent oral and written communication ...

Azure DevOps Working knowledge of Software coding language in the Microsoft stack E.g.: C#, node.js, JavaScript, Typescript etc Working knowledge of any other SQL and relational databases Experience Essential Experience of working as an automated test engineer within the test team delivering successful outcomes. Practical experience of testing on .NET … SQL and Microservices architecture - on prem and cloud. Analytical and Judgemental Skills Essential Excellent analytical, evaluative and judgement skills, with the ability to operate effectively in complex, ambiguous and fast moving environments, balancing quality, delivery and risk to support robust decision making. Interpersonal Skills Essential Excellent oral and written communication ...

Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc.* NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred).* SQL: Experience working with SQL databases like PostgreSQL.## **Version Control*** Proficient in Git and version control platforms like GitHub, GitLab, etc.## **Work Methodology*** Experience working ...

Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc.* NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred).* SQL: Experience working with SQL databases like PostgreSQL.## **Version Control*** Proficient in Git and version control platforms like GitHub, GitLab, etc.## **Work Methodology*** Experience working ...

Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc.* NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred).* SQL: Experience working with SQL databases like PostgreSQL.## **Version Control*** Proficient in Git and version control platforms like GitHub, GitLab, etc.## **Work Methodology*** Experience working ...

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 ...

data platforms (AWS, Azure, GCP etc), ELT patterns, APIs, events, streaming, batch integration and data contracts. Experience with Snowflake would be highly beneficial Practical SQL, Python and transformation tooling experience, ideally including dbt. Experience with consumer, digital and transactional data at scale, including web and app analytics and GA4. Understanding ...

data platforms (AWS, Azure, GCP etc), ELT patterns, APIs, events, streaming, batch integration and data contracts. Experience with Snowflake would be highly beneficial Practical SQL, Python and transformation tooling experience, ideally including dbt. Experience with consumer, digital and transactional data at scale, including web and app analytics and GA4. Understanding ...

data platforms (AWS, Azure, GCP etc), ELT patterns, APIs, events, streaming, batch integration and data contracts. Experience with Snowflake would be highly beneficial Practical SQL, Python and transformation tooling experience, ideally including dbt. Experience with consumer, digital and transactional data at scale, including web and app analytics and GA4. Understanding ...

Technical Expertise: Proven experience with cloud-based systems and architectures (Azure, AWS, IoT, AI/ML), DevOps practices, CI/CD pipelines, RDBMS (MS SQL, Oracle, PostgreSQL), and integration technologies (APIs, REST, SOAP, webhooks). Proficient in an enterprise language such as: .NET, Java, or C# with strong object-oriented ...

enablement.Demonstrated ability to architect scalable batch and streaming pipelines using ETL/ELT patterns.Proficiency in one or more programming or query languages (e.g. SQL, Python, Java, R).Experience managing architecture quality processes, such as design authorities or architecture review boards.Strong client-facing skills with the ability to build trusted relationships ...

integration. Agentic AI : design LLM agents with LangChain/LangGraph/AutoGen ; retrieval strategies; vector search . Programming: Python and/or .NET; SQL ; REST/Graph; eventing; strong integration patterns. CI/CD & ALM: Azure DevOps or GitHub Actions; source control; pipeline gating; automated deployment. Security & Governance: DLP, RBAC ...

analytics and reporting. What we're looking for: Experience leading or mentoring analysts within an analytics, business intelligence, or data‐focused environment. Strong SQL skills and experience working with large datasets and data cleansing techniques. A demonstrable understanding of video game player behaviours, particularly in MMORPGs. Familiarity with modern data ...

Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc. NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred). SQL: Experience working with SQL databases like PostgreSQL. Version Control Proficient in Git and version control platforms like GitHub, GitLab, etc. Work Methodology Experience working ...