Data Engineering Manager

Job not on LinkedIn

🔥 19 minutes ago

🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♀️ Software Engineering Manager

👻 Ghost score 17%

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.Why this score:

• Just posted.
• Jobs at this company usually fill in 61 days.
• No salary listed.

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RS

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1937

🤝 B2B

💼 Consulting

B2B • Sales • Consulting

RS is a company that specializes in sales and consulting services, emphasizing the importance of delivering products that provide clear value to its customers. Since its founding, RS has aimed to be a leader in the sales industry, fostering a strong team environment that prioritizes employee development and customer satisfaction. The company showcases its commitment to quality and transparency, as well as its successful history with numerous completed projects and industry awards.

📋 Description

• Lead the design, development, and delivery of scalable data pipelines and products on the Enterprise Data Platform • Define and champion engineering standards, best practices, and modern data engineering methodologies • Collaborate with architects, analysts, and business stakeholders to deliver high-quality data solutions • Ensure data platforms and pipelines are reliable, secure, performant, and cost-effective • Provide hands-on technical leadership through solution design, coding, and peer reviews • Act as the senior escalation point for complex data engineering and platform challenges • Lead, mentor, and develop a team of Data Engineers • Drive automation, AI-enabled engineering practices, and operational efficiencies across the data ecosystem • Support the transition of innovative data use cases into scalable, production-ready solutions • Contribute to major data platform transformation and migration initiatives across the organisation

🎯 Requirements

• Experience in a Senior or Lead Data Engineering role, delivering scalable data solutions in production environments • Strong expertise in Snowflake or a similar cloud data platform • Hands-on experience with modern data engineering tools such as dbt, Dagster, Airbyte, or equivalent • Solid understanding of ELT/ETL, data modelling, SQL, and pipeline orchestration • Experience implementing data quality, testing, monitoring, and performance optimisation practices • Proven ability to lead, mentor, and support Data Engineers while providing hands-on technical leadership • Strong problem-solving, communication, and stakeholder management skills • A collaborative, delivery-focused mindset with a passion for high-quality data solutions • Experience with SAP S/4HANA, AI-enabled engineering, or global enterprise-scale data environments would be advantageous

🏖️ Benefits

• Pension scheme • Annual bonus • Private medical care (Allianz) • Subsidy for Multisport card • Holiday allowance • Lunch card • Subsidy for learning English language • Employee referral scheme • Global recognition programme • Market competitive base salaries • Opportunity to participate in a short-term incentive

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