About the Position

Adaptiq stands with Ukraine and Israel, supporting our people and partners during these challenging times. We provide ongoing assistance through donations, essential supplies, and initiatives that strengthen resilience.

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

About the Product:

Our client is a major online gaming operator building a next-generation transactional platform for user account management. This is a greenfield project designed to operate in a highly regulated, high-volume environment and support millions of concurrent users. The platform will process financial transactions in real time and must ensure high availability, sub-second performance, data integrity, security, and full auditability. One of the key engineering challenges is maintaining reliability and performance during extreme traffic spikes and peak events.

The team is looking for a hands-on Data Engineer to help build and maintain scalable and reliable data infrastructure, develop production-grade data pipelines, and work with large volumes of business and transactional data, with a strong focus on data quality, integrity, and performance.

Responsibilities

Build and maintain a multi-layer lakehouse (bronze/silver/gold) using open table formats such as Iceberg and Delta, including schema evolution and data organization
Build and support CDC and streaming ingestion pipelines using Kafka, Debezium, or similar technologies, including handling late and duplicate events
Work with cloud object storage and optimize data layout through partitioning, compaction, file sizing, and query performance improvements
Support data retention, archival, immutability, and GDPR-style deletion processes
Monitor data freshness and quality, identify data drift, and support reconciliation with source transactional systems
Implement and maintain data governance practices, including metadata, lineage, access controls, PII protection, encryption, and audit trails
Monitor pipeline and ingestion health, investigate data anomalies, and support reliable day-to-day operation of the data infrastructure
Collaborate with Data Engineering, DevOps, Data Science, Analytics, Finance, and Compliance teams on data requirements, migration, and delivery

Requirements

3+ years of hands-on data engineering experience working with large-scale data systems, data lakes, or lakehouse environments
Production experience with cloud object storage (AWS S3 or equivalent) and at least one analytics platform such as Snowflake, Databricks, or BigQuery
Hands-on experience with open table formats such as Iceberg, Delta, or Hudi, including a good understanding of schema evolution
Good understanding of partitioning, file layout, data storage, and query optimization for large datasets
Experience building or supporting CDC and streaming data pipelines using Kafka, Debezium, or similar technologies
Strong SQL and data modeling skills, with a good understanding of relational databases and transactional data
Understanding of data quality, monitoring, and governance concepts, including metadata, lineage, access control, PII handling, and retention
Hands-on experience with Python for data engineering tasks and familiarity with workflow orchestration tools such as Airflow or Dagster
Ability to work independently, take ownership of assigned tasks, and contribute to technical discussions and design decisions

Nice to Have

Experience working with financial, transactional, or ledger data
Experience in regulated or audit-heavy environments such as fintech, gaming, banking, payments, or similar industries
Experience participating in large-scale data migration or building a new data platform

We Offer

20 days of vacation leave per calendar year (plus official national holidays of the country you are based in)
Full accounting and legal support in all countries we operate
Fully remote work model with a powerful workstation and co-working space if needed

About the Company

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

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Middle Data Engineer - Adaptiq

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