
Senior Data Engineer - Adaptiq
Primary stack
Nice to have's
Job description
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.
Krakow (Poland)
Hybrid
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
- Design, 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
- Design and build reliable CDC and streaming ingestion pipelines using Kafka, Debezium, or similar technologies, including handling late and duplicate events
- Define and optimize data layouts in cloud object storage through partitioning, compaction, file sizing, and query performance optimization
- Define and maintain data retention, archival, immutability, and GDPR-style deletion processes
- Ensure data freshness, quality, and consistency, identify data drift, and drive reconciliation with source transactional systems
- Define and implement data governance practices, including metadata, lineage, access controls, PII protection, encryption, and audit trails
- Ensure pipeline and ingestion reliability, establish effective monitoring, and drive investigation and resolution of data anomalies
- Collaborate with Data Engineering, DevOps, Data Science, Analytics, Finance, and Compliance teams on data requirements, migration, architecture, and long-term technical decisions
Requirements
- 5+ years of data engineering experience working with large-scale data systems, data lakes, or lakehouse environments
- Strong production experience with cloud object storage (AWS S3 or equivalent) and at least one analytics platform such as Snowflake, Databricks, or BigQuery
- Strong hands-on experience with open table formats such as Iceberg, Delta, or Hudi, including schema evolution and data organization
- Strong understanding of partitioning, file layout, data storage, and query optimization for large datasets
- Experience designing and building CDC and streaming data pipelines using Kafka, Debezium, or similar technologies
- Strong SQL and data modeling skills, with solid knowledge of relational databases and transactional data
- Experience with data quality, monitoring, and governance practices, including metadata, lineage, access control, PII handling, and retention
- Hands-on experience with Python for data engineering tasks and experience with workflow orchestration tools such as Airflow or Dagster
- Ability to take ownership of technical decisions, contribute to architecture and system design, and clearly explain technical choices and trade-offs
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 projects
We Offer
- 20 days of vacation leave per calendar year (plus official national holidays of a 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 in case you need it
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.
© Adaptiq. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Київ, Варшава (Польща)
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