Structured Query Language (SQL)
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16325
Companies looking for SQL
14094
SQL - the cockroach of database languages that simply refuses to die, and thank heavens for that. Born in IBM's labs in the 1970s, this venerable query language has survived more "SQL killers" than one can count on both hands, from NoSQL to graph databases to whatever newfangled abstraction Silicon Valley has dreamed up this week.
Despite being older than most developers wielding it, SQL remains the lingua franca of data manipulation, powering everything from legacy systems to modern cloud warehouses like Snowflake and BigQuery. While the cool kids play with their Spark notebooks and MongoDB clusters, SQL quietly gets on with the job of, well, actually querying data. Its declarative nature and standardization (mostly - looking at you, MySQL) make it surprisingly relevant for modern data tasks. Yes, it has its quirks - try explaining window functions to a junior analyst - but SQL's staying power is nothing short of remarkable in an industry obsessed with the next big thing.
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Compare to other programming languagesJobs (this month)
16325
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Jobs in using Structured Query Language (SQL) for but please no
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data engineer
Senior Data Engineer @ kpmg-espana
ES | 2025-12-28
This role is a high-impact opportunity for a data engineer with a strong technical foundation, requiring expertise in cloud infrastructure, ETL processes, and data visualization. The position...
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Data Analytics, Azure, ETL/ELT, Power BI, Python, SQL, Cloud Computing, Data Lake | ||
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data engineer
Google Cloud Data Engineer - Sector cosmética @ devoteam
ES | 2025-12-27
Devoteam G Cloud seeks several GCP-focused Data Engineers for Spain, a role that doubles as cloud-data plumber and governance advocate. You'll translate client needs into scalable pipelines with...
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Cloud Computing, GCP, Dataflow, Dataproc, Cloud Functions, ETL/ELT, API, BigQuery, Cloud Storage, Data Quality, Cloud Run, SQL, Python, Terraform, Git, Airflow | ||
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promoted
The Fundamentals of Analytics EngineeringThe Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies. |
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data engineer
Senior Data Engineer - Lighthouse @ kpmg-espana
ES | 2025-12-27
Senior Data Engineer at KPMG Lighthouse in Madrid promises cloud-native data work with Snowflake, Databricks and Microsoft Fabric as core platforms. You will design, build and optimize scalable...
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Analytics, Cloud Computing, Snowflake, Databricks, Fabric, Python, SQL, Scala, DataOps, CI/CD, Azure, AWS, GCP, Kubernetes, Docker, API | ||
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data engineer
Data Engineer (f/m/d) @ axpo-group
ES | 2025-12-25
Axpo’s Group IT role looks like a straight path for a data engineer who likes stitching Databricks on Azure into a lakehouse while juggling on-prem and cloud sources. You’ll build and scale...
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BI, Databricks, Azure, Cloud Computing, ETL/ELT, Delta, Data Lakehouse, Data Quality, Power BI, Data Governance, Data Engineering, Python, PySpark, SQL, Git, CI/CD, GitHub, Computer Science, Agile/Scrum, Microsoft | ||
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data engineer
Spark Developer con SQL (Híbrido Málaga) @ ustglobal
ES | 2025-12-23
UST pitches itself as a US multinational with Top Employer status, and the role cleanly maps to a bank-facing data engineering mandate: build and optimize Spark pipelines in Azure Databricks,...
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Spark, SQL, Databricks, GitHub, Agile/Scrum, PySpark, Azure |