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.
EverHelp is scaling fast, and our data infrastructure needs a dedicated owner to keep it reliable and growing.
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, 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 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:
1–2+ 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 wor
