Senior Data Engineer

Job not on LinkedIn

🔥 1 minute ago

🇪🇺 Europe – Remote

⏳ Contract/Temporary

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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YLD

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

🏥 Healthcare

Consulting • Marketing • Healthcare

YLD is a software engineering and design consultancy that helps businesses succeed by fostering a progressive culture of learning. The company specializes in software engineering, digital product design, and data science, with expertise in modernizing practices and software using technologies like Node. js, React. js, Kubernetes, and React Native. YLD also emphasizes open-source development, community engagement, and training to empower engineering teams. The company serves a diverse range of industries including energy, fintech, and Web3, and runs events to support tech communities. YLD has offices in London, Lisbon, and Porto.

📋 Description

• Build core infrastructure software, including pipelines, APIs, and data modelling, for a client data platform team • Instrument systems for performance and enhancement • Deliver data offerings to internal and external stakeholders using secure authentication patterns • Choose and implement technologies for scaling data access patterns, batch processing, and data streaming for soft real-time consumption • Apply knowledge of the client's business domain • Coach and mentor other engineers to support their technical growth • Collaborate with engineering leadership and architects to deliver high-quality solutions

🎯 Requirements

• Proven experience writing highly maintainable, performant Python code • Experience building modern data pipelines using dbt, Kafka, Spark, AWS Kinesis, AWS Lambda, and Apache Airflow or similar • Understanding of data modelling patterns • Deep knowledge of complex SQL, including Common Table Expressions and window functions, with emphasis on performance • Experience with end-to-end monitoring and alerting using CloudWatch, Datadog, or similar • Problem-solving skills balancing innovation with pragmatic technology choices • Comfortable working in a dynamic production environment and managing client expectations • Distinct customer focus and quality mindset • Experience working closely with engineering leadership and architects • Experience maintaining a high degree of ownership and transparency in deliverables • Exceptional communication skills, able to communicate complex ideas simply

🏖️ Benefits

• Remote-first working environment • Flexible working • Work-life balance • Equal-opportunity employer • Diversity and inclusion commitment

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