Spark / Data Lakehouse Developer

At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.  

We are looking for an experienced  Spark / Data Lakehouse Developer to join our Data Platform team . In this role, you will design, develop, and implement data reconciliation solutions within the Operational Data Store (ODS)  layer, based on  MongoDB , ensuring data consistency and synchronization with multiple source systems.

Additionally, you will be responsible for building and maintaining data layers in a modern Data Lakehouse architecture  (Delta Lake / Apache Iceberg / Hudi) — from raw data storage up to curated and presentation zones ( silver, gold ).

Sounds like your kind of challenge?  

What you get in return

Flexible cooperation model  

Hybrid work setup – remote days available depending on the client’s arrangements - Warszawa lub Wrocław

Collaborative team culture – work alongside experienced professionals eager to share knowledge 

Continuous development – access to training platforms and growth opportunities 

Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more 

High quality equipment – laptop and essential software provided

Daily tasks

• Design and implement data reconciliation mechanisms within the Operational Data Store (ODS) layer.
• Develop integration and synchronization logic between ODS and source systems based on MongoDB.
• Build, optimize and maintain data pipelines with Spark and distributed processing frameworks.
• Design and develop data layers in Lakehouse architecture (from Raw through Curated to Gold zones).
• Implement and maintain solutions using Delta Lake, Apache Iceberg or Apache Hudi.
• Ensure data quality, reliability, and monitoring across pipelines and storage layers.
• Collaborate closely with data engineers, analysts, and architects to deliver end‑to‑end data solutions.
• Participate in continuous improvement of the data platform architecture and engineering standards.

Requirements

Proven experience as a  Data Engineer / Spark Developer  in big data or cloud ecosystems.

Strong knowledge of  Apache Spark , especially in data processing and ETL pipeline development.

Hands‑on experience with  MongoDB  and ODS‑type data store architectures.

Practical experience in  Data Lakehouse technologies  such as Delta Lake, Apache Iceberg or Hudi.

Proficiency in  Python  and/or  Scala , including data manipulation and pipeline scripting.

Solid understanding of  data modeling , data reconciliation, and data governance concepts.

Experience working with distributed data environments and cloud platforms (Azure, AWS, or GCP).

Familiarity with CI/CD processes and version control (Git).

Nice to Have

Experience with streaming frameworks (e.g. Kafka, Structured Streaming).

Knowledge of data quality frameworks and testing solutions (Great Expectations, dbt tests).

Understanding of metadata management and Data Catalog tools.

Familiarity with data security, access control, and audit mechanisms.

Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference.

Must have: Spark, Big Data, Cloud, Apache Spark, ETL, MongoDB, Data Lake, Apache, Python, Scala, Data modeling, Cloud platform, Azure, AWS, GCP, CI/CD, Git

Nice to have: Kafka, Testing, dbt, Security, Audit