Senior Data Engineer

🕒 September 11

🌐 Germany, Poland – Remote

🇩🇪 Germany – Remote 🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 13%

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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Sigma Software Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2002

💼 Consulting

🏥 Healthcare

🚘 Automotive

Consulting • Healthcare • Automotive

Sigma Software Group is a multinational company, established in 2002, that specializes in providing high-quality software development, graphic design, testing, and support services. The company focuses on delivering solutions across various industries such as automotive, telecommunications, aviation, advertising, gaming, banking, real estate, and healthcare. Sigma Software values professional growth, offers remote work opportunities worldwide, and caters to world-renowned clients like AstraZeneca, Scania, and SAS. The company emphasizes a culture of continuous education, mentorship, and flexible work environments, making it a preferred workplace for IT specialists aiming to work on complex solutions utilizing cutting-edge technologies. Sigma Software is committed to innovative solutions and engineering the future while also contributing to social causes such as charitable work in Ukraine.

📋 Description

• Write and defend diagnostic SQL queries against large-scale production datasets • Build and maintain ingestion pipelines for bid, win, and impression logs into BigQuery • Harmonize fields across independently designed datasets and maintain versioned field mappings • Develop point-in-time-correct feature tables and aggregation pipelines • Design and maintain conversion and labeling pipelines with delayed label handling • Own the data serving write path, schema contracts, publishing flows, and freshness SLOs • Build experimentation infrastructure including traffic splitting and reporting pipelines • Perform large-scale historical backfills and safe reprocessing after mapping changes • Implement data isolation and safe-aggregation controls for advertiser data protection • Develop automated data quality validation frameworks • Collaborate closely with Customer engineers and prepare operational documentation • Contribute to architecture discussions and platform scalability improvements

🎯 Requirements

• 5+ years of experience in Data Engineering • At least 2 years of experience working with production ML or large-scale analytics pipelines • Expert-level SQL skills including window functions and incremental processing patterns • Strong Python skills for production-grade pipeline development • Hands-on experience with Spark or PySpark • Experience designing ETL / ELT pipelines with Airflow, Cloud Composer, Dagster, or similar tools • Experience working with cloud data warehouses at scale, preferably BigQuery • Strong understanding of data modeling and point-in-time correctness • Experience working with event-driven or clickstream datasets at very large scale • Experience supporting business-critical production pipelines • Upper-Intermediate English level or higher

🏖️ Benefits

• Employees can work remotely • Opportunity to work on impactful global products • Collaboration with experienced engineers • Opportunity to contribute to architecture decisions • Opportunity to grow expertise in large-scale distributed systems and modern data platforms