Data Engineer

 Posted 4 hours ago
     
2-5 years experience
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AI Summary

Build, optimize, and maintain ETL pipelines to extract data from ERP systems and APIs into BigQuery. Design data models and implement quality checks to ensure scalable, data-driven business solutions.

Genesis is a full-service international IT company. More than 1,500 people in five countries create products for more than 200 million unique monthly users. We are one of the largest partners of Facebook, Google, Snapchat, and Apple in Eastern Europe. Our ecosystem consists of more than 15 companies and an investment fund.

EverHelp is a company in the Genesis ecosystem. We’re a team of professionals, that’s developing outsourcing support services for plenty of products all over the world at a dynamic tempo. The project launched in 2021, and last year we experienced a yearly growth rate of +82%. Since February 2022, we've managed to preserve all our workplaces and, most importantly, we continue to strengthen our team while maintaining an employee satisfaction rate of over 90%.

In 2026, EverHelp received 9 international workplace and employer awards. The company ranked #1 in the Top 30 Inspiring Workplaces in Europe, was named the #1 employer among European companies with 500–4,999 employees, and earned Best-in-Class recognition across 6 categories: Culture & Purpose, Leadership, Inclusion & Belonging, Wellbeing, Employee Voice, and Employee Experience. EverHelp was also named one of the 28 Best Places to Work by Business Intelligence Group — a global award recognizing companies with strong workplace cultures and outstanding employee experience.

Our statement:

  • We’re against war and unjustified aggression,

  • We evacuated all the teammates and their families from the frontline, helped them find a new place to live and provided financial support,

  • We provided the team with charging stations,

  • We continue to work together for the future of Ukraine.

Your future responsibilities include:

  • Building, optimizing, and maintaining ETL pipelines that extract data from ERP
    systems, databases, and APIs, transform it into a usable format, and load it into
    BigQuery

  • Automating data ingestion, transformation, and loading processes to reduce manual
    intervention and ensure efficiency

  • Monitoring and troubleshooting data pipelines proactively — catching performance issues
    issues, errors, and data quality problems before they escalate

  • Managing and optimizing data storage: partitioning, indexing, and performance tuning
    in BigQuery

  • Designing data models that represent the structure and relationships within a business
    data

  • Implementing data quality checks and validation rules at every stage of the pipeline

  • Identifying and resolving data inconsistencies, errors, and missing values

  • Conducting data audits and comparing results with business user needs — proposing
    solutions to close existing gaps

  • Collaborating with analysts, data scientists, and business stakeholders to understand
    their data needs and translate them into scalable solutions

Why this role might be interesting for you:

If you love structure and enjoy optimizing processes, this is your playground. You'll make real-world architectural decisions, not just execute tickets. Every pipeline you build or improve directly powers business decisions at the highest level, so the impact of your work is visible and immediate. And if you want to be the person who shapes a data-driven culture from the inside — that's exactly the role we're offering.

Needed experience & skills:

  • 2-4 years of hands-on experience as a Data Engineer

  • Advanced knowledge of SQL and Python

  • Hands-on experience with GCP, in particular BigQuery

  • Strong ETL and data warehousing skills: Apache Airflow, dbt

  • Clear understanding of both the technical and business sides of data products

  • Clear and concise communication; comfortable working cross-functionally with nontechnical stakeholders

  • Proactive problem-solving mindset — analytical thinking and attention to detail

  • English level — B2+

Nice to have skills:

  • Experience at a large systematic company (retail, banking, telecom, FMCG, logistics)

  • Comfort working autonomously as the only Data Engineer on a team

  • Adaptability in a high-paced, fast-changing environment

Hiring Process:

CV Screening → Questionnaire → Intro Call → Tech & Soft Interview → Bar Raising

Work with EverHelp is about:

  • Opportunity to join the Ukrainian company and help the Ukrainian economy,

  • 20+ vacation days and unlimited sick leaves, corporate doctor & psychologist,

  • Medical insurance and +10 Healthcare leaves for mental & physical recovery,

  • Systematical learning & development inside a team and on an individual level: compensation for professional webinars, courses, conferences, etc.,

  • Ability to work from Lviv & Kyiv offices with free breakfasts and lunches or fully remotely,

  • Team of professionals who’s ready for knowledge sharing, internal professional communities, team buildings,

  • Corporate discounts for gym membership and for other different services like medical services, language schools, etc.

Submit your resume and join our team!

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