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Back in the dark ages before everything lived in the cloud, sharing code was…an experience. Then came GitHub, promising to be the collaborative haven developers desperately needed. It took the core concept of version control—bless you, Linus Torvalds—and wrapped it in a social layer, effectively turning code into a public, searchable, and forkable playground. Quite clever, really, though one does wonder if all those public repositories are just a breeding ground for technical debt.

Today, GitHub is practically synonymous with open source, and Microsoft’s ownership feels… inevitable. It’s the default for many, eclipsing alternatives like GitLab and Bitbucket with sheer network effects. While it’s become a sprawling platform with project management tools and CI/CD pipelines, let’s be honest—most of us are still just using it to file issues and argue about whitespace. Still, it works, and in the world of software development, that’s often a victory in itself.

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data scientist

Data Platform Engineer @ webuild-ai

GB | 2025-12-26
WeBuild-AI seeks a Platform Engineer to craft scalable data solutions supporting AI transformations for global enterprises, with an emphasis on data architecture and cloud services. The role’s... read more »
AI/ML, AWS, Azure, Fabric, Data Governance, Data Quality, Redshift, AWS Glue, LLM, Synapse, Python, Cloud Computing, Data Modelling, Docker, Kubernetes, Vector DB, Pinecone, Neo4j, API, Data Streaming, Kinesis, Kafka, GitHub
data engineer

Data Engineering Consultant @ uk-talan

GB | 2025-12-25
An enterprise data engineering consultant role at Talan Data x AI promises multi-cloud breadth (AWS, Azure, GCP) and a Databricks Lakehouse core, with DBT, Terraform, and CI/CD baked in. The stack... read more »
AI/ML, Data Management, Analytics, PySpark, Spark, AWS, Azure, Cloud Computing, GCP, Data Lake, Python, SQL, GitHub, CI/CD, Databricks, Data Lakehouse, dbt, Git, Management, DevOps, Data Engineering, DWH, Data Modelling, Data Quality, Data Analytics, DataViz, Data Science, BI, IaC, Terraform, Tableau, Power BI, Snowflake
promoted

The Fundamentals of Analytics Engineering

The 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.

data engineer

Graduate Software Engineer @ grayce

GB | 2025-12-23 | GBP 28000 / year
A graduate software engineer role based in Basildon, UK, starting at £28,000, involves working within agile teams to design, build, and maintain software. The differentiator is the structured... read more »
Computer Science, Agile/Scrum, DevOps, Java, React, Python, Cloud Computing, GitHub
analytics engineer

Senior Analytics Engineer @ rockstar-games

GB | 2025-12-23
Rockstar Games is recruiting a Senior Analytics Engineer to design and operate the data plumbing that underpins its mega-franchised games from a London studio. The role blends software development... read more »
Analytics, Big Data, AI/ML, Data Engineering, Data Quality, Git, CI/CD, Terraform, GitHub, Analytics Engineering, Databricks, Azure, Cloud Computing, Airflow, Astronomer, Computer Science, Python, PySpark, SQL, Agile/Scrum, Management, Data Streaming
data scientist

Data Scientist @ myn-co-uk

GB | 2025-12-23
A data scientist role in London, focusing on predictive analytics, real-time dashboards, and collaboration across teams with big data tools like Spark, Hadoop, and Snowflake. The position's... read more »
AI/ML, Analytics, Python, R, SQL, Big Data, Spark, Hadoop, Snowflake, Data Science, Cloud Computing, AWS, GCP, Azure, NLP, GitHub
data engineer

Senior Data Engineer - (Genetics) Maternity Cover - 12 months FTC @ our-future-health-uk

GB | 2025-12-22
This role is for a Senior Data Engineer specializing in genetic data processing, with responsibilities involving building and maintaining robust pipelines for data storage and release. The... read more »
Data Engineering, CI/CD, Agile/Scrum, Cloud Computing, Python, Unix, Azure, Parquet, Delta, Docker, Kubernetes, Spark, Databricks, Git, GitHub