Structured Query Language (SQL)
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16325
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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.
Used together with SQL
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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
Delivery Solutions Architect @ databricks
DE | 2025-12-28
Databricks seeks a Delivery Solutions Architect in Germany to blend post‑sale technical leadership with high‑touch commercial execution across strategic accounts. The role fuses engineering...
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Databricks, Go, Data Lakehouse, Cloud Computing, KPI, AI/ML, Python, SQL, Scala, Management, Computer Science, Analytics, Spark, Delta | ||
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data engineer
Senior Consultant AI & Data Engineering (m/w/d) @ deloitte
DE | 2025-12-27
This role offers a unique opportunity to lead AI and data engineering initiatives in a dynamic consulting environment, focusing on cloud platforms, analytics, and automation. The position requires...
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AI/ML, Analytics, Data Engineering, Cloud Computing, Agile/Scrum, ETL/ELT, CI/CD, BI, Azure, Snowflake, SAP, Python, Java, Scala, SQL, DevOps, GCP | ||
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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
Data Engineering Consultant (w/m/x) - Germany @ avanade
DE | 2025-12-27
Avanade, a joint venture of Microsoft and Accenture, seeks a Data Analytics Consultant to assist in designing and implementing data platform architectures in Azure and on-premise, collaborating...
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Data Analytics, Cloud Computing, Microsoft, AI/ML, IoT, Azure, DevOps, SQL, Python | ||
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data engineer
Senior Software Developer (Python) @ reeeliance-im-gmbh
DE | 2025-12-25
This role is a senior data engineer tasked with designing, developing, and maintaining robust backend systems, secure cloud infrastructure, and real-time data pipelines. The position requires deep...
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Cloud Computing, Python, Kafka, API, SQL, Data Streaming, Management, RDBMS, PostgreSQL, Snowflake, Azure, AWS, GCP, Kubernetes, IaC, DevOps, Data Science, Synapse, Git, CI/CD, Azure DevOps, GitLab, GitHub, Computer Science, Data Management, Analytics, DataOps, SAP | ||
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data engineer
Senior Data Engineer @ zendesk
DE | 2025-12-22
As Zendesk's Senior Data Engineer on the ZAP team, you’ll design scalable ELT pipelines and build robust data models aligning CRM insights with support tooling. The tech bar is high but practical:...
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Analytics, CRM, ETL/ELT, SQL, dbt, Data Engineering, Big Data, Data Modelling, dimensional modeling, Python, Cloud Computing, BigQuery, Redshift, Snowflake, Airflow, Kafka, BI, Tableau, Looker, AWS, Kubernetes, Terraform, GitHub |
