Data Engineer

Job not on LinkedIn

🔥 45 minutes ago

🇺🇦 Ukraine – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 15%

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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BOOSTA

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2019

🎯 Recruiter

💼 Consulting

👥 HR Tech

Recruitment • Consulting • HR Tech

BOOSTA is a talent solutions and recruitment consultancy that partners with organisations to solve technical and operational hiring challenges. They offer embedded recruitment services, consultative talent audits, specialist sourcing (Talent Stream with access to over 900k candidates), employer branding, DEI strategy, recruitment process engineering, and leadership coaching and training. BOOSTA emphasizes custom-designed, scalable talent programs, uses AI to support data-driven hiring and candidate assessment, and has delivered hires at scale for clients (for example, helping Trainline hire 150+ people in under 15 months).

📋 Description

• Build, monitor, and optimize ETL/ELT pipelines • Connect new data sources, including APIs, databases, files, and events • Extract data from advertising platforms such as Meta, Google Ads, and others, process it, and prepare it for analytical reports • Optimize Data Warehouse costs • Set up data quality processes to ensure data accuracy and reliability • Collaborate with analysts on a daily basis and on specific tasks

🎯 Requirements

• 2+ years of experience as a Data Engineer or in related roles • Strong Python and SQL skills • Experience building ETL/ELT processes using Dataform, Airflow, dbt, or Prefect • Practical understanding of Git • Understanding of the business context behind tasks and how data is used across business units • Experience extracting data from advertising platforms such as Meta Ads and Google Ads is a plus • Experience working with Google Cloud or BigQuery is a plus • Experience using AI agents to orchestrate and optimize data pipelines is a plus • English at Intermediate level or higher is a plus

🏖️ Benefits

• Opportunities for rapid career growth and professional self-realization together with the company • Work on an exciting, non-standard project with the ability to build processes from scratch and experiment • A strong team of motivated professionals who are always ready to support and help • Diverse learning opportunities: expert talks, a large corporate library, compensation for external courses, English lessons, and speaking clubs • Flexible schedule and the ability to plan your own working day • 20 working days of paid vacation per year after 3 months of cooperation • 30 days of sick leave • Corporate trips, regular team-building, and gifts • Relocation support • Coworking compensation • Assistance with purchasing charging stations for comfortable work during power outages after three months of cooperation • Medical insurance • HoneyFit program: compensation for sports activities and events, offline/online workouts, and more after the probation period • HoneyMeal: daily lunches at the Kyiv office

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