Neo4j

graph database, nosql, data relationships
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Back in the day, relational databases reigned supreme, but then someone realized that not everything fits neatly into rows and columns. Thus, Neo4j emerged, promising to model relationships with a grace that SQL simply couldn't match. It’s a graph database, meaning it focuses on connections between data points rather than the data itself – quite clever, really, though one does wonder if everyone truly needs a database built around friendships and acquaintances.

In practice, it’s a powerful tool for uncovering hidden connections, but it’s not a magic bullet. Forget joining tables; you’re now traversing relationships. This can be incredibly fast for certain queries, but complex traversals can quickly become performance bottlenecks. Compared to the established relational players or even newer document stores, it occupies a niche – ideal for recommendation engines, fraud detection, or knowledge graphs, but overkill for your standard transaction processing. It's found a solid foothold in industries like finance and increasingly in data science, though convincing legacy teams to ditch their SQL might require a small miracle.

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data engineer

DevOps Engineer- DA Cloud @ varonis

IL | 2025-12-26
A DevOps engineer role at Varonis involves designing and managing cloud-native infrastructure to support SaaS offerings, with a focus on Kubernetes, AWS, and CI/CD processes. The position's... read more »
Cyber Security, DevOps, Cloud Computing, SaaS, Agile/Scrum, CI/CD, R, Kubernetes, AWS, Python, IaC, Terraform, GitHub, Jenkins, Prometheus, Grafana, Datadog, Data Streaming, Kafka, SQL, NoSQL, MySQL, ELK, Neo4j, Redis
data engineer

Développeur React/Next.js - Plateforme digitale - Paris (H/F) - Freelance @ usecollective

FR | 2025-12-23
A European distribution leader is updating its digital platform with a focus on React and Next.js, offering a detailed tech stack and occasional backend tasks; the unique aspect is the emphasis on... read more »
React, API, TypeScript, Oracle, MongoDB, Neo4j, New Relic, Grafana, GCP, Kubernetes, GitLab, CI/CD, Argo CD, ELK, Agile/Scrum
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O'Reilly: Building AI Agents with Model Context Protocol (MCP)

Design and implement composable agent architectures using MCP. Understand the MCP architecture and how it enables AI applications to access external context. Build MCP servers that expose tools, resources, and prompts to LLMs.

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data engineer

Data Engineer, Brazil - X Delivery @ bcg-x

BR | 2025-12-21
This Data Engineer role involves designing and delivering data solutions using Python, SQL, and cloud platforms like AWS, Azure, or GCP, with a notable emphasis on adapting projects to client... read more »
Spark, Management, Go, Data Engineering, Python, SQL, RDBMS, PostgreSQL, MySQL, MariaDB, NoSQL, MongoDB, Redis, Neo4j, PySpark, Hadoop, Cloud Computing, AWS, Azure, GCP, Airflow, AWS Glue, Prefect, Dagster, DataViz, Power BI, Tableau, Looker, Data Modelling, Snowflake, dimensional modeling, Docker, Kubernetes, Data Streaming, Kafka, Data Lake, Analytics, Big Data, ETL/ELT
data engineer

Senior Data Engineer @ frontiers

ES | 2025-12-21
Frontiers hires a Senior Data Engineer to own Azure-based data pipelines at scale, with Databricks and Delta Lake as core, plus Python, SQL, and Spark. The role blends hands-on delivery with... read more »
Azure, Databricks, Delta, Python, SQL, Spark, Data Streaming, Cloud Computing, ADF, dbt, Data Quality, CI/CD, Azure DevOps, Analytics, AI/ML, Data Engineering, BigQuery, Docker, Data Governance, Neo4j