Middle Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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

• Design and develop scalable, reliable data platforms and pipelines for analytics and operations • Implement data processing workflows using distributed frameworks such as Apache Spark/pySpark and Databricks • Evolve the organization's cloud data platform using Azure technologies, including Data Factory, Synapse, Event Hub, and Azure Data Lake Storage • Model data to support analytics, reporting, and downstream consumption • Integrate and process data from multiple sources while ensuring quality and consistency • Monitor and optimize pipeline performance, reliability, and scalability • Collaborate with analysts, scientists, and engineers to translate requirements into solutions • Improve data engineering standards, testing, and operational reliability • Evaluate and introduce new tools and technologies in the data engineering ecosystem

🎯 Requirements

• 4+ years of hands-on experience in data engineering or building data processing platforms • Strong SQL skills • Solid Python experience for pipeline development • Experience with distributed processing frameworks, including Apache Spark/pySpark; Databricks preferred • Practical experience designing and implementing pipelines in cloud environments; Azure preferred • Experience with production-scale analytical systems and data modeling • Understanding of ETL/ELT design, dimensional modeling, and data warehousing principles • Experience with modern data lake architectures and formats, including Parquet and JSON • Familiarity with workflow orchestration tools, including Airflow • Experience with database development and optimization • Ability to design scalable solutions with minimal supervision • Strong collaboration and communication skills • Professional proficiency in English

🏖️ Benefits

• Professional growth opportunities • Supportive environment • Competitive benefits • Remote work option