Data Integration Engineer, Databricks, Python, SQL

Job not on LinkedIn

🔥 14 hours ago

🌐 Poland, Czechia, +4 more countries – Remote

🇵🇱 Poland – Remote 🇨🇿 Czechia – Remote 🇧🇬 Bulgaria – Remote 🇭🇷 Croatia – Remote 🇷🇴 Romania – Remote 🇫🇷 France – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 12%

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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Gramian Consulting

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2025

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Gramian Consulting is a remote-first consulting firm that connects engineering and data/AI talent with organizations through talent augmentation, recruiting, dedicated teams, and contractor management. The firm provides Data & AI services including LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure, and it offers mentorship and education programs for career readiness, interview preparation, and international market orientation. Rooted in hands-on engineering and recruiting experience, Gramian helps clients scale technical teams and extract business value from AI while developing individual talent.

📋 Description

• Inventory and map all internal and external data sources. • Define data contracts and canonical data structures for client, screening, evidence, audit, and reporting data. • Build connectors to external screening providers, public registers, and local data sources. • Connect Databricks with SQL Server, legacy databases, and core enterprise systems. • Support API, database-link, batch, file, and SFTP-based integrations. • Design and maintain data models supporting evidence, audit trails, and reporting. • Implement data quality checks, contract tests, and retention rules. • Validate incoming and outgoing data flows across production services. • Support integration troubleshooting and production-readiness activities. • Contribute to a business-critical platform where data accuracy and reliability are essential.

🎯 Requirements

• Strong hands-on experience with Databricks, including Delta Lake and Unity Catalog. • Strong experience with Python / PySpark. • Advanced SQL skills. • Experience integrating with SQL Server and legacy databases. • Strong experience with REST APIs, DB links, batch processing, files, and SFTP integrations. • Experience with data modelling and data-contract design. • Experience implementing data-quality validation and integration testing. • Fluent English and ability to work remotely within the EU.

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