Data Engineer – Mid-Level

Job not on LinkedIn

🔥 0 minutes ago

🌐 United Kingdom, France – Remote

🇬🇧 United Kingdom – Remote 🇫🇷 France – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.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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Semble

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤝 Non-profit

💸 Finance

💳 Fintech

Non-profit • Finance • Fintech

Semble is an online lending platform that facilitates low cost financing for nonprofit organizations. By employing its "Social Investment" model, Semble allows socially responsible investors to invest in the loan needs of the nonprofits they support. As enough funds are raised, the nonprofit receives the loan, and payments are returned to the investors. Semble is dedicated to helping communities transform debt-service dollars into people-service dollars, specializing in nonprofit loans, school loans, church loans, and camp financing.

📋 Description

• Build and maintain ELT pipelines • Monitor pipeline health and data freshness • Write and maintain config-driven pipeline definitions • Deploy workflows to Databricks across a multi-tenant environment • Extend the modelling layer • Support CI/CD and ingestion projects • Collaborate with data and product teams to deliver reliable, well-tested data • Participate in code reviews • Help evolve platform standards and documentation

🎯 Requirements

• 3–5 years of data engineering experience • Strong Python and SQL skills • Experience with Apache Spark / PySpark • Ability to monitor, troubleshoot, and resolve pipeline failures • Familiarity with lakehouse concepts • Experience with Git, Databricks, streaming / CDC, AWS, and Great Expectations • Exposure to YAML • Experience building analytics data models in Spark

🏖️ Benefits

• Autonomy and ownership • Work alongside an inspiring, knowledgeable, and innovative team • Inclusive workplace welcoming people of all backgrounds and walks of life • Support for disabled and neurodiverse candidates, including recruitment-process adjustments