Data Engineer atlyginimas Lietuva 2026
Kiek uždirba Data Engineer?
55 003 €
/ Metinis
Remiantis 10 darbo skelbimais
Salaries are calculated as the average of salary ranges published in job listings. Data is aggregated monthly by job position.
3 600 € Vidutinis atlyginimas
55 003 € Maksimumas
120 000 €
Atlyginimų duomenys atnaujinti: balandis 2026
Data Engineer atlyginimas Lietuva
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Data Engineer
Found at: Fantastic LinkedIn - 3 months ago
Bareikiškės, Vilnius County, Lietuva Scale Tech Nuotolinis darbas Visą darbo dieną 28 € - 35 €Scale Tech is hiring on behalf of a leading fintech client that is transforming into a fully data-driven digital...
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Data Engineer
Found at: Sourcestack Lithuania - prieš 10 val.
Kaunas, Lietuva Twoday Lithuania Visą darbo dienątwoday is the premier digital transformation partner in Northern Europe with a global presence. With approximately...
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Data Engineer
Found at: Sourcestack Lithuania - prieš 10 val.
Vilnius, Lietuva ScaleTech Visą darbo dienąScale Tech is hiring on behalf of a leading fintech client that is transforming into a fully data-driven digital...
Atlyginimai Lietuva {year}
| Position | Vidutinis atlyginimas / Metinis | |
|---|---|---|
| Head of Engineering | 88 400 € | Žiūrėti skelbimus |
| Sisteminių įrenginių priežiūros skyriaus vadovė (-as) | 74 400 € | Žiūrėti skelbimus |
| Senior Embedded Software Engineer | 71 880 € | Žiūrėti skelbimus |
| Senior DevOps Engineer | 70 700 € | Žiūrėti skelbimus |
| Engineering Manager | 68 640 € | Žiūrėti skelbimus |
| Product Designer | Senior | 59 640 € | Žiūrėti skelbimus |
| Network Software Engineer | Networking Solutions | 57 120 € | Žiūrėti skelbimus |
| Software Engineer | 56 520 € | Žiūrėti skelbimus |
| Data Engineer | 55 003 € | Žiūrėti skelbimus |
| DevOps Engineer | 54 845 € | Žiūrėti skelbimus |
FAQ - Data Engineer
Duomenys atnaujinti: balandis 2026
Darbas kituose miestuose
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Methodology
Salary data is calculated from compensation ranges published in active job listings in Lietuva. Job postings that include salary information are analyzed to obtain minimum, average and maximum values by position. Data is updated monthly and reflects listings from the last 90 days. Sample size for this position: 10 job postings with salary.